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Pin pyarrow version for integration tests #770

Merged
merged 2 commits into from
Dec 20, 2022
Merged

Pin pyarrow version for integration tests #770

merged 2 commits into from
Dec 20, 2022

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oliverholworthy
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Pin pyarrow version for integration tests.

The pip install 'feast<0.20' command is installing the latest version of pyarrow (currently 10.0.1). This is incompatibile with the current version of cudf.

Follow-up

The container we're testing with already has pyarrow installed. So a follow-up action would be to figure out why the existing pyarrow version is not being detected and take any actions required for this to be found.

  • import pyarrow; pyarrow.__version__ reports 8.0.0.
    • However, pip show pyarrow doesn't report anything.
    • Suggesting that the pyarrow installation is incomplete (missing the dist-info directory)

@oliverholworthy oliverholworthy added this to the Merlin 22.12 milestone Dec 19, 2022
@oliverholworthy oliverholworthy self-assigned this Dec 19, 2022
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https://nvidia-merlin.github.io/Merlin/review/pr-770

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GitHub pull request #770 of commit 9d6ed0540beb47608af1d13c8dac8342d11293d4, no merge conflicts.
Running as SYSTEM
Setting status of 9d6ed0540beb47608af1d13c8dac8342d11293d4 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/703/ and message: 'Pending'
Using context: Jenkins
Building on the built-in node in workspace /var/jenkins_home/jobs/merlin_merlin/workspace
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/770/*:refs/remotes/origin/pr/770/* # timeout=10
 > git rev-parse 9d6ed0540beb47608af1d13c8dac8342d11293d4^{commit} # timeout=10
Checking out Revision 9d6ed0540beb47608af1d13c8dac8342d11293d4 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 9d6ed0540beb47608af1d13c8dac8342d11293d4 # timeout=10
Commit message: "Pin pyarrow version for integration tests"
 > git rev-list --no-walk 405fb8627d86c249d327dac67b3f206310c1746e # timeout=10
[workspace] $ /bin/bash /tmp/jenkins5530119299229308045.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.9.0,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.32,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.32,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==7.0.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.5,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.1.0,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.45,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='3759578239'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-njq55_86
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-njq55_86
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit b41b8a14cb424a0b88dcb24b9c684c8f5e43c92d
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Collecting treelite==2.4.0
  Downloading treelite-2.4.0-py3-none-manylinux2014_x86_64.whl (852 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 852.7/852.7 kB 8.2 MB/s eta 0:00:00
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+35.gb41b8a1) (2.22.0)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+35.gb41b8a1) (0.3.0+12.g78ecddd)
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+35.gb41b8a1) (1.1.1)
Collecting treelite-runtime==2.4.0
  Downloading treelite_runtime-2.4.0-py3-none-manylinux2014_x86_64.whl (191 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 191.5/191.5 kB 144.5 MB/s eta 0:00:00
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+35.gb41b8a1) (1.20.3)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from treelite==2.4.0->merlin-systems==0.7.0+35.gb41b8a1) (1.8.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (0.55.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (1.3.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (21.3)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (1.2.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (4.64.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (1.10.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (3.19.5)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (2022.3.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (1.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (5.4.1)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (2022.5.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (2.2.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (5.8.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (3.1.2)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (1.7.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (2.0.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (2.4.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (8.1.3)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (6.1)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (1.0.4)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 34.5/34.5 MB 119.2 MB/s eta 0:00:00
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (65.6.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (4.0.0)
Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+35.gb41b8a1-py3-none-any.whl size=99652 sha256=8de82ef4b3f667cf455046f4a49a273b72401cfb56846eb34779432377178291
  Stored in directory: /tmp/pip-ephem-wheel-cache-xe6uc55f/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, treelite-runtime, treelite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: treelite-runtime
    Found existing installation: treelite-runtime 2.3.0
    Not uninstalling treelite-runtime at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite-runtime'. No files were found to uninstall.
  Attempting uninstall: treelite
    Found existing installation: treelite 2.3.0
    Not uninstalling treelite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+35.gb41b8a1 treelite-2.4.0 treelite-runtime-2.4.0
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-h3x9n_by
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-h3x9n_by
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit 0bd366faa6d7a6568d42ba2e1a15f12ba0343c72
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+70.g0bd366fa) (0.3.0+12.g78ecddd)
Collecting merlin-dataloader>=0.0.2
  Downloading merlin-dataloader-0.0.3.tar.gz (48 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.3/48.3 kB 1.3 MB/s eta 0:00:00
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (0.55.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (1.3.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (21.3)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (1.2.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (4.64.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (1.10.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (3.19.5)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (2022.3.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (1.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (5.4.1)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (2022.5.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (2.2.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (5.8.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (3.1.2)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (1.7.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (2.0.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (2.4.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (8.1.3)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (6.1)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (1.0.4)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (0.38.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (1.20.3)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (65.6.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (4.0.0)
Building wheels for collected packages: merlin-models, merlin-dataloader
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+70.g0bd366fa-py3-none-any.whl size=357246 sha256=87393378b1c14de8b3963d956b18eaecbcae99c9936d79ca47db1bf0e8598a66
  Stored in directory: /tmp/pip-ephem-wheel-cache-2zyc4xp5/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.3-py3-none-any.whl size=37647 sha256=262376814c3e4d3488f624e882547fb59a9b6b2cee8c7b8911dac6026abe95a2
  Stored in directory: /tmp/pip-ephem-wheel-cache-2zyc4xp5/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built merlin-models merlin-dataloader
Installing collected packages: merlin-dataloader, merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-dataloader-0.0.3 merlin-models-0.9.0+70.g0bd366fa
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-7rqv19ig
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-7rqv19ig
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit 985510ef0f529aa54a8ac29414d3ed71542c4c62
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+22.g985510ef) (0.3.0+12.g78ecddd)
Requirement already satisfied: merlin-dataloader>=0.0.2 in ./.tox/test-gpu/lib/python3.8/site-packages (from nvtabular==1.6.0+22.g985510ef) (0.0.3)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+22.g985510ef) (1.8.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.55.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.3.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (21.3)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (4.64.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.10.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (3.19.5)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.3.0)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+22.g985510ef) (1.20.3)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (5.4.1)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.5.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.2.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (5.8.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (3.1.2)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.7.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.0.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.4.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (8.1.3)
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Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (65.6.3)
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Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (4.0.0)
Building wheels for collected packages: nvtabular
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+22.g985510ef-cp38-cp38-linux_x86_64.whl size=257120 sha256=ca069e4bc88811cec6b0030c723decc8e75a3bc3c4d8b80c77aeb60cf93af37a
  Stored in directory: /tmp/pip-ephem-wheel-cache-op9z5rf3/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
Successfully built nvtabular
Installing collected packages: nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed nvtabular-1.6.0+22.g985510ef
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-w2tdy2ud
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-w2tdy2ud
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 73c2afc277967015e2f334b8c57a9e8789fa19bd
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (0.55.1)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (1.3.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (2022.3.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (21.3)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (2022.5.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (4.64.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (1.10.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (3.19.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (1.2.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (1.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (2.2.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (5.8.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (3.1.2)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.7.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (2.0.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (2.4.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (8.1.3)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (6.1)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.0.4)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+19.g73c2afc) (0.38.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+19.g73c2afc) (1.20.3)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+19.g73c2afc) (65.6.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.9.0+19.g73c2afc) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (4.0.0)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+19.g73c2afc-py3-none-any.whl size=119766 sha256=c1fa6d55e737ee783ffe106dc39f5b53c7a8a48451e8c222b08ebd58352a0f92
  Stored in directory: /tmp/pip-ephem-wheel-cache-k91ddzzj/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.9.0+19.g73c2afc
test-gpu run-test: commands[4] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/dataloader.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/dataloader.git
  Cloning https://github.com/NVIDIA-Merlin/dataloader.git to /tmp/pip-req-build-b9qv1kda
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/dataloader.git /tmp/pip-req-build-b9qv1kda
  Resolved https://github.com/NVIDIA-Merlin/dataloader.git to commit c52a7071c522c0fb5ad485675195c973743f66bc
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.8.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from merlin-dataloader==0.0.2+26.gc52a707) (0.9.0+19.g73c2afc)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (0.55.1)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (1.3.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (2022.3.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (21.3)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (2022.5.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (4.64.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (1.10.0)
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Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (1.2.5)
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Building wheels for collected packages: merlin-dataloader
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.2+26.gc52a707-py3-none-any.whl size=40769 sha256=dcf06b561a21d7f32940cb809a8c7ae27f274a08aaab34abd0c26f0c9feef428
  Stored in directory: /tmp/pip-ephem-wheel-cache-a5he7aqz/wheels/de/f5/d9/251909f4627d2920fb15548f5ffd6daf1bf24c3c56bb4977b1
Successfully built merlin-dataloader
Installing collected packages: merlin-dataloader
  Attempting uninstall: merlin-dataloader
    Found existing installation: merlin-dataloader 0.0.3
    Uninstalling merlin-dataloader-0.0.3:
      Successfully uninstalled merlin-dataloader-0.0.3
Successfully installed merlin-dataloader-0.0.2+26.gc52a707
test-gpu run-test: commands[5] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, cov-4.0.0, xdist-3.1.0
collected 6 items / 1 skipped

tests/unit/test_version.py .                                             [ 16%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py F      [ 33%]

tests/unit/examples/test_scaling_criteo_merlin_models.py F               [ 50%]

tests/unit/examples/test_scaling_criteo_optimize_notebook.py .           [ 66%]

tests/unit/examples/test_z_legacy_notebooks.py ..                        [100%]


=================================== FAILURES ===================================

__________________________________ test_func ___________________________________


self = <testbook.client.TestbookNotebookClient object at 0x7fe4e8bf7130>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:





          cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)





../../../.local/lib/python3.8/site-packages/testbook/client.py:133:




args = (<testbook.client.TestbookNotebookClient object at 0x7fe4e8bf7130>, {'id': '64958a3d', 'cell_type': 'code', 'metadata'...[38;5;241m.\x1b[39mis_server_ready()\n', '\x1b[0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)']}]}, 55)

kwargs = {}


def wrapped(*args, **kwargs):





  return just_run(coro(*args, **kwargs))





../../../.local/lib/python3.8/site-packages/nbclient/util.py:84:




coro = <coroutine object NotebookClient.async_execute_cell at 0x7fe391795bc0>


def just_run(coro: Awaitable) -> Any:
    """Make the coroutine run, even if there is an event loop running (using nest_asyncio)"""
    # original from vaex/asyncio.py
    loop = asyncio._get_running_loop()
    if loop is None:
        had_running_loop = False
        try:
            loop = asyncio.get_event_loop()
        except RuntimeError:
            # we can still get 'There is no current event loop in ...'
            loop = asyncio.new_event_loop()
            asyncio.set_event_loop(loop)
    else:
        had_running_loop = True
    if had_running_loop:
        # if there is a running loop, we patch using nest_asyncio
        # to have reentrant event loops
        check_ipython()
        import nest_asyncio

        nest_asyncio.apply()
        check_patch_tornado()





  return loop.run_until_complete(coro)





../../../.local/lib/python3.8/site-packages/nbclient/util.py:62:




self = <_UnixSelectorEventLoop running=False closed=False debug=False>

future = <Task finished name='Task-377' coro=<NotebookClient.async_execute_cell() done, defined at /var/jenkins_home/.local/lib...0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)\nRuntimeError: Tritonserver failed to start (ret=1)\n')>


def run_until_complete(self, future):
    """Run until the Future is done.

    If the argument is a coroutine, it is wrapped in a Task.

    WARNING: It would be disastrous to call run_until_complete()
    with the same coroutine twice -- it would wrap it in two
    different Tasks and that can't be good.

    Return the Future's result, or raise its exception.
    """
    self._check_closed()
    self._check_running()

    new_task = not futures.isfuture(future)
    future = tasks.ensure_future(future, loop=self)
    if new_task:
        # An exception is raised if the future didn't complete, so there
        # is no need to log the "destroy pending task" message
        future._log_destroy_pending = False

    future.add_done_callback(_run_until_complete_cb)
    try:
        self.run_forever()
    except:
        if new_task and future.done() and not future.cancelled():
            # The coroutine raised a BaseException. Consume the exception
            # to not log a warning, the caller doesn't have access to the
            # local task.
            future.exception()
        raise
    finally:
        future.remove_done_callback(_run_until_complete_cb)
    if not future.done():
        raise RuntimeError('Event loop stopped before Future completed.')





  return future.result()





/usr/lib/python3.8/asyncio/base_events.py:616:




self = <testbook.client.TestbookNotebookClient object at 0x7fe4e8bf7130>

cell = {'id': '64958a3d', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-19T15:09:17.120966Z',...t\x1b[38;5;241m.\x1b[39mis_server_ready()\n', '\x1b[0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)']}]}

cell_index = 55, execution_count = None, store_history = True


async def async_execute_cell(
    self,
    cell: NotebookNode,
    cell_index: int,
    execution_count: t.Optional[int] = None,
    store_history: bool = True,
) -> NotebookNode:
    """
    Executes a single code cell.

    To execute all cells see :meth:`execute`.

    Parameters
    ----------
    cell : nbformat.NotebookNode
        The cell which is currently being processed.
    cell_index : int
        The position of the cell within the notebook object.
    execution_count : int
        The execution count to be assigned to the cell (default: Use kernel response)
    store_history : bool
        Determines if history should be stored in the kernel (default: False).
        Specific to ipython kernels, which can store command histories.

    Returns
    -------
    output : dict
        The execution output payload (or None for no output).

    Raises
    ------
    CellExecutionError
        If execution failed and should raise an exception, this will be raised
        with defaults about the failure.

    Returns
    -------
    cell : NotebookNode
        The cell which was just processed.
    """
    assert self.kc is not None

    await run_hook(self.on_cell_start, cell=cell, cell_index=cell_index)

    if cell.cell_type != 'code' or not cell.source.strip():
        self.log.debug("Skipping non-executing cell %s", cell_index)
        return cell

    if self.skip_cells_with_tag in cell.metadata.get("tags", []):
        self.log.debug("Skipping tagged cell %s", cell_index)
        return cell

    if self.record_timing:  # clear execution metadata prior to execution
        cell['metadata']['execution'] = {}

    self.log.debug("Executing cell:\n%s", cell.source)

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors or "raises-exception" in cell.metadata.get("tags", [])
    )

    await run_hook(self.on_cell_execute, cell=cell, cell_index=cell_index)
    parent_msg_id = await ensure_async(
        self.kc.execute(
            cell.source, store_history=store_history, stop_on_error=not cell_allows_errors
        )
    )
    await run_hook(self.on_cell_complete, cell=cell, cell_index=cell_index)
    # We launched a code cell to execute
    self.code_cells_executed += 1
    exec_timeout = self._get_timeout(cell)

    cell.outputs = []
    self.clear_before_next_output = False

    task_poll_kernel_alive = asyncio.ensure_future(self._async_poll_kernel_alive())
    task_poll_output_msg = asyncio.ensure_future(
        self._async_poll_output_msg(parent_msg_id, cell, cell_index)
    )
    self.task_poll_for_reply = asyncio.ensure_future(
        self._async_poll_for_reply(
            parent_msg_id, cell, exec_timeout, task_poll_output_msg, task_poll_kernel_alive
        )
    )
    try:
        exec_reply = await self.task_poll_for_reply
    except asyncio.CancelledError:
        # can only be cancelled by task_poll_kernel_alive when the kernel is dead
        task_poll_output_msg.cancel()
        raise DeadKernelError("Kernel died")
    except Exception as e:
        # Best effort to cancel request if it hasn't been resolved
        try:
            # Check if the task_poll_output is doing the raising for us
            if not isinstance(e, CellControlSignal):
                task_poll_output_msg.cancel()
        finally:
            raise

    if execution_count:
        cell['execution_count'] = execution_count





  await self._check_raise_for_error(cell, cell_index, exec_reply)





../../../.local/lib/python3.8/site-packages/nbclient/client.py:965:




self = <testbook.client.TestbookNotebookClient object at 0x7fe4e8bf7130>

cell = {'id': '64958a3d', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-19T15:09:17.120966Z',...t\x1b[38;5;241m.\x1b[39mis_server_ready()\n', '\x1b[0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)']}]}

cell_index = 55

exec_reply = {'buffers': [], 'content': {'ename': 'RuntimeError', 'engine_info': {'engine_id': -1, 'engine_uuid': '397a29cd-39d8-43...e, 'engine': '397a29cd-39d8-434c-a31a-38b3c69fb707', 'started': '2022-12-19T15:09:17.121287Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E

E           import shutil

E           from merlin.core.dispatch import get_lib

E           from merlin.dataloader.tf_utils import configure_tensorflow

E           configure_tensorflow()

E           df_lib = get_lib()

E           batch = df_lib.read_parquet(

E               os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E               num_rows=1,

E               columns=["user_id_raw"],

E           )

E           from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E           response = run_ensemble_on_tritonserver(

E               "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"

E           )

E           response = [x.tolist()[0] for x in response["ordered_ids"]]

E           shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mRuntimeError�[0m                              Traceback (most recent call last)

E           Cell �[0;32mIn [32], line 12�[0m

E           �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

E           �[1;32m      7�[0m     os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(�[38;5;124m"�[39m�[38;5;124m/tmp/data/processed_nvt/�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mtrain�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mpart_0.parquet�[39m�[38;5;124m"�[39m),

E           �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

E           �[1;32m      9�[0m     columns�[38;5;241m=�[39m[�[38;5;124m"�[39m�[38;5;124muser_id_raw�[39m�[38;5;124m"�[39m],

E           �[1;32m     10�[0m )

E           �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E           �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E           �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E           �[1;32m     14�[0m �[43m)�[49m

E           �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E           �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:139�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E           �[1;32m    116�[0m �[38;5;124;03m"""Starts up a Triton server instance, loads up the ensemble model,�[39;00m

E           �[1;32m    117�[0m �[38;5;124;03mprepares the inference request and returns the unparsed inference�[39;00m

E           �[1;32m    118�[0m �[38;5;124;03mresponse.�[39;00m

E           �[0;32m   (...)�[0m

E           �[1;32m    136�[0m �[38;5;124;03m    the results of the prediction, parsed by output column name.�[39;00m

E           �[1;32m    137�[0m �[38;5;124;03m"""�[39;00m

E           �[1;32m    138�[0m response �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E           �[0;32m--> 139�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

E           �[1;32m    140�[0m     response �[38;5;241m=�[39m send_triton_request(

E           �[1;32m    141�[0m         schema, df, output_columns, client�[38;5;241m=�[39mclient, triton_model�[38;5;241m=�[39mmodel_name

E           �[1;32m    142�[0m     )

E           �[1;32m    144�[0m �[38;5;28;01mreturn�[39;00m response

E

E           File �[0;32m/usr/lib/python3.8/contextlib.py:113�[0m, in �[0;36m_GeneratorContextManager.__enter__�[0;34m(self)�[0m

E           �[1;32m    111�[0m �[38;5;28;01mdel�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39margs, �[38;5;28mself�[39m�[38;5;241m.�[39mkwds, �[38;5;28mself�[39m�[38;5;241m.�[39mfunc

E           �[1;32m    112�[0m �[38;5;28;01mtry�[39;00m:

E           �[0;32m--> 113�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28;43mnext�[39;49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mgen�[49m�[43m)�[49m

E           �[1;32m    114�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mStopIteration�[39;00m:

E           �[1;32m    115�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124m"�[39m�[38;5;124mgenerator didn�[39m�[38;5;124m'�[39m�[38;5;124mt yield�[39m�[38;5;124m"�[39m) �[38;5;28;01mfrom�[39;00m �[38;5;28mNone�[39m

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:82�[0m, in �[0;36mrun_triton_server�[0;34m(model_repository, grpc_host, grpc_port, backend_config)�[0m

E           �[1;32m     80�[0m �[38;5;28;01mif�[39;00m process�[38;5;241m.�[39mpoll() �[38;5;129;01mis�[39;00m �[38;5;129;01mnot�[39;00m �[38;5;28;01mNone�[39;00m:

E           �[1;32m     81�[0m     retcode �[38;5;241m=�[39m process�[38;5;241m.�[39mreturncode

E           �[0;32m---> 82�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124mf�[39m�[38;5;124m"�[39m�[38;5;124mTritonserver failed to start (ret=�[39m�[38;5;132;01m{�[39;00mretcode�[38;5;132;01m}�[39;00m�[38;5;124m)�[39m�[38;5;124m"�[39m)

E           �[1;32m     84�[0m �[38;5;28;01mtry�[39;00m:

E           �[1;32m     85�[0m     ready �[38;5;241m=�[39m client�[38;5;241m.�[39mis_server_ready()

E

E           �[0;31mRuntimeError�[0m: Tritonserver failed to start (ret=1)

E           RuntimeError: Tritonserver failed to start (ret=1)


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError


During handling of the above exception, another exception occurred:


def test_func():
    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "01-Building-Recommender-Systems-with-Merlin.ipynb",
        execute=False,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["NUM_ROWS"] = "100000"
            os.system("mkdir -p /tmp/examples")
            os.environ["BASE_DIR"] = "/tmp/examples/"
            """
        )
        tb1.execute()
        assert os.path.isdir("/tmp/examples/dlrm")
        assert os.path.isdir("/tmp/examples/feature_repo")
        assert os.path.isdir("/tmp/examples/query_tower")
        assert os.path.isfile("/tmp/examples/item_embeddings.parquet")
        assert os.path.isfile("/tmp/examples/feature_repo/user_features.py")
        assert os.path.isfile("/tmp/examples/feature_repo/item_features.py")

    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "02-Deploying-multi-stage-RecSys-with-Merlin-Systems.ipynb",
        execute=False,
        timeout=180,
    ) as tb2:
        tb2.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["BASE_DIR"] = "/tmp/examples/"
            os.environ["topk_retrieval"] = "20"
            """
        )
        NUM_OF_CELLS = len(tb2.cells)
        tb2.execute_cell(list(range(0, NUM_OF_CELLS - 3)))
        top_k = tb2.ref("top_k")
        outputs = tb2.ref("outputs")
        assert outputs[0] == "ordered_ids"





      tb2.inject(





            """
            import shutil
            from merlin.core.dispatch import get_lib
            from merlin.dataloader.tf_utils import configure_tensorflow
            configure_tensorflow()
            df_lib = get_lib()
            batch = df_lib.read_parquet(
                os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),
                num_rows=1,
                columns=["user_id_raw"],
            )
            from merlin.systems.triton.utils import run_ensemble_on_tritonserver
            response = run_ensemble_on_tritonserver(
                "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"
            )
            response = [x.tolist()[0] for x in response["ordered_ids"]]
            shutil.rmtree("/tmp/examples/", ignore_errors=True)
            """
        )



tests/unit/examples/test_building_deploying_multi_stage_RecSys.py:61:




../../../.local/lib/python3.8/site-packages/testbook/client.py:237: in inject

cell = TestbookNode(self.execute_cell(inject_idx)) if run else TestbookNode(code_cell)




self = <testbook.client.TestbookNotebookClient object at 0x7fe4e8bf7130>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:
            cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)
        except CellExecutionError as ce:





          raise TestbookRuntimeError(ce.evalue, ce, self._get_error_class(ce.ename))





E               testbook.exceptions.TestbookRuntimeError: An error occurred while executing the following cell:

E               ------------------

E

E               import shutil

E               from merlin.core.dispatch import get_lib

E               from merlin.dataloader.tf_utils import configure_tensorflow

E               configure_tensorflow()

E               df_lib = get_lib()

E               batch = df_lib.read_parquet(

E                   os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E                   num_rows=1,

E                   columns=["user_id_raw"],

E               )

E               from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E               response = run_ensemble_on_tritonserver(

E                   "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"

E               )

E               response = [x.tolist()[0] for x in response["ordered_ids"]]

E               shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E               ------------------

E

E               �[0;31m---------------------------------------------------------------------------�[0m

E               �[0;31mRuntimeError�[0m                              Traceback (most recent call last)

E               Cell �[0;32mIn [32], line 12�[0m

E               �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

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E               �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

E               �[1;32m      9�[0m     columns�[38;5;241m=�[39m[�[38;5;124m"�[39m�[38;5;124muser_id_raw�[39m�[38;5;124m"�[39m],

E               �[1;32m     10�[0m )

E               �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E               �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E               �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E               �[1;32m     14�[0m �[43m)�[49m

E               �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E               �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:139�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E               �[1;32m    116�[0m �[38;5;124;03m"""Starts up a Triton server instance, loads up the ensemble model,�[39;00m

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E

E               File �[0;32m/usr/lib/python3.8/contextlib.py:113�[0m, in �[0;36m_GeneratorContextManager.__enter__�[0;34m(self)�[0m

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E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:82�[0m, in �[0;36mrun_triton_server�[0;34m(model_repository, grpc_host, grpc_port, backend_config)�[0m

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E

E               �[0;31mRuntimeError�[0m: Tritonserver failed to start (ret=1)

E               RuntimeError: Tritonserver failed to start (ret=1)


../../../.local/lib/python3.8/site-packages/testbook/client.py:135: TestbookRuntimeError

----------------------------- Captured stderr call -----------------------------

2022-12-19 15:07:25.264186: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-19 15:07:29.336097: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 15:07:29.336867: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-19 15:07:29.337460: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-19 15:07:29.338061: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

WARNING clustering 454 points to 32 centroids: please provide at least 1248 training points

2022-12-19 15:08:55.414997: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-19 15:08:59.442099: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 15:08:59.442892: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-19 15:08:59.443495: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-19 15:08:59.444075: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

I1219 15:09:17.484614 3685 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7f70a4000000' with size 268435456

I1219 15:09:17.485396 3685 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 536870912

I1219 15:09:17.490680 3685 model_lifecycle.cc:459] loading: executor_model:1

I1219 15:09:17.490724 3685 model_lifecycle.cc:459] loading: 0_predicttensorflowtriton:1

I1219 15:09:17.490757 3685 model_lifecycle.cc:459] loading: 2_predicttensorflowtriton:1

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

I1219 15:09:26.293765 3685 tensorflow.cc:2536] TRITONBACKEND_Initialize: tensorflow

I1219 15:09:26.293836 3685 tensorflow.cc:2546] Triton TRITONBACKEND API version: 1.10

I1219 15:09:26.293843 3685 tensorflow.cc:2552] 'tensorflow' TRITONBACKEND API version: 1.10

I1219 15:09:26.293849 3685 tensorflow.cc:2576] backend configuration:

{"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}}

I1219 15:09:26.293897 3685 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: executor_model (GPU device 0)

2022-12-19 15:09:34.249519: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-19 15:09:36.484499: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 15:09:36.491569: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 7.95G (8534360064 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

2022-12-19 15:09:36.494772: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 7.15G (7680923648 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

2022-12-19 15:09:36.498119: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 6.44G (6912830976 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

2022-12-19 15:09:36.500916: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 5.79G (6221547520 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

WARNING:tensorflow:No training configuration found in save file, so the model was not compiled. Compile it manually.

12/19/2022 03:09:38 PM WARNING:No training configuration found in save file, so the model was not compiled. Compile it manually.

/usr/local/lib/python3.8/dist-packages/faiss/loader.py:28: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

if LooseVersion(numpy.version) >= "1.19":

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

other = LooseVersion(other)

12/19/2022 03:09:38 PM INFO:Loading faiss with AVX2 support.

12/19/2022 03:09:38 PM INFO:Could not load library with AVX2 support due to:

ModuleNotFoundError("No module named 'faiss.swigfaiss_avx2'")

12/19/2022 03:09:38 PM INFO:Loading faiss.

12/19/2022 03:09:38 PM INFO:Successfully loaded faiss.

1219 15:09:45.288129 3764 pb_stub.cc:309] Failed to initialize Python stub: RuntimeError: Error in virtual void faiss::gpu::StandardGpuResourcesImpl::initializeForDevice(int) at /project/faiss/faiss/gpu/StandardGpuResources.cpp:283: Error: 'err == cudaSuccess' failed: failed to cudaHostAlloc 268435456 bytes for CPU <-> GPU async copy buffer (error 2 out of memory)


At:

/usr/local/lib/python3.8/dist-packages/faiss/swigfaiss.py(10275): index_cpu_to_gpu

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py(74): load_artifacts

/tmp/examples/poc_ensemble/executor_model/1/model.py(75): initialize


I1219 15:09:46.834507 3685 tensorflow.cc:2642] TRITONBACKEND_ModelInitialize: 0_predicttensorflowtriton (version 1)

2022-12-19 15:09:46.836146: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

E1219 15:09:46.845438 3685 model_lifecycle.cc:596] failed to load 'executor_model' version 1: Internal: RuntimeError: Error in virtual void faiss::gpu::StandardGpuResourcesImpl::initializeForDevice(int) at /project/faiss/faiss/gpu/StandardGpuResources.cpp:283: Error: 'err == cudaSuccess' failed: failed to cudaHostAlloc 268435456 bytes for CPU <-> GPU async copy buffer (error 2 out of memory)


At:

/usr/local/lib/python3.8/dist-packages/faiss/swigfaiss.py(10275): index_cpu_to_gpu

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py(74): load_artifacts

/tmp/examples/poc_ensemble/executor_model/1/model.py(75): initialize


2022-12-19 15:09:46.848250: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-19 15:09:46.848284: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-19 15:09:46.848403: I tensorflow/core/platform/cpu_feature_guard.cc:194] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE3 SSE4.1 SSE4.2 AVX

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-19 15:09:46.897060: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5680 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 15:09:46.931721: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled

2022-12-19 15:09:46.933755: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-19 15:09:47.006128: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-19 15:09:47.039870: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 203759 microseconds.

I1219 15:09:47.046080 3685 tensorflow.cc:2642] TRITONBACKEND_ModelInitialize: 2_predicttensorflowtriton (version 1)

2022-12-19 15:09:47.046817: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-19 15:09:47.063241: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-19 15:09:47.063287: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-19 15:09:47.065394: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5680 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 15:09:47.095005: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-19 15:09:47.232159: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-19 15:09:47.283347: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 236533 microseconds.

I1219 15:09:47.305008 3685 tensorflow.cc:2691] TRITONBACKEND_ModelInstanceInitialize: 0_predicttensorflowtriton (GPU device 0)

2022-12-19 15:09:47.306110: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-19 15:09:47.314707: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-19 15:09:47.314765: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-19 15:09:47.318509: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5680 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 15:09:47.327266: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-19 15:09:47.385911: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-19 15:09:47.417808: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 111705 microseconds.

I1219 15:09:47.417927 3685 tensorflow.cc:2691] TRITONBACKEND_ModelInstanceInitialize: 2_predicttensorflowtriton (GPU device 0)

I1219 15:09:47.418123 3685 model_lifecycle.cc:693] successfully loaded '0_predicttensorflowtriton' version 1

2022-12-19 15:09:47.418357: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-19 15:09:47.428937: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-19 15:09:47.428973: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-19 15:09:47.431434: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5680 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 15:09:47.450264: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-19 15:09:47.590729: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-19 15:09:47.643158: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 224802 microseconds.

I1219 15:09:47.643472 3685 model_lifecycle.cc:693] successfully loaded '2_predicttensorflowtriton' version 1

I1219 15:09:47.643578 3685 server.cc:561]

+------------------+------+

| Repository Agent | Path |

+------------------+------+

+------------------+------+


I1219 15:09:47.643688 3685 server.cc:588]

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Backend    | Path                                                            | Config                                                                                                                                                                      |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| python     | /opt/tritonserver/backends/python/libtriton_python.so           | {"cmdline":{"auto-complete-config":"true","min-compute-capability":"6.000000","backend-directory":"/opt/tritonserver/backends","default-max-batch-size":"4"}}               |

| tensorflow | /opt/tritonserver/backends/tensorflow2/libtriton_tensorflow2.so | {"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}} |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


I1219 15:09:47.643833 3685 server.cc:631]

+---------------------------+---------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Model                     | Version | Status                                                                                                                                                                                                                                                                                                                    |

+---------------------------+---------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| 0_predicttensorflowtriton | 1       | READY                                                                                                                                                                                                                                                                                                                     |

| 2_predicttensorflowtriton | 1       | READY                                                                                                                                                                                                                                                                                                                     |

| executor_model            | 1       | UNAVAILABLE: Internal: RuntimeError: Error in virtual void faiss::gpu::StandardGpuResourcesImpl::initializeForDevice(int) at /project/faiss/faiss/gpu/StandardGpuResources.cpp:283: Error: 'err == cudaSuccess' failed: failed to cudaHostAlloc 268435456 bytes for CPU <-> GPU async copy buffer (error 2 out of memory) |

|                           |         |                                                                                                                                                                                                                                                                                                                           |

|                           |         | At:                                                                                                                                                                                                                                                                                                                       |

|                           |         |   /usr/local/lib/python3.8/dist-packages/faiss/swigfaiss.py(10275): index_cpu_to_gpu                                                                                                                                                                                                                                      |

|                           |         |   /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py(74): load_artifacts                                                                                                                                                                          |

|                           |         |   /tmp/examples/poc_ensemble/executor_model/1/model.py(75): initialize                                                                                                                                                                                                                                                    |

+---------------------------+---------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


I1219 15:09:47.707654 3685 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1219 15:09:47.708525 3685 tritonserver.cc:2214]

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Option                           | Value                                                                                                                                                                                        |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| server_id                        | triton                                                                                                                                                                                       |

| server_version                   | 2.25.0                                                                                                                                                                                       |

| server_extensions                | classification sequence model_repository model_repository(unload_dependents) schedule_policy model_configuration system_shared_memory cuda_shared_memory binary_tensor_data statistics trace |

| model_repository_path[0]         | /tmp/examples/poc_ensemble                                                                                                                                                                   |

| model_control_mode               | MODE_NONE                                                                                                                                                                                    |

| strict_model_config              | 0                                                                                                                                                                                            |

| rate_limit                       | OFF                                                                                                                                                                                          |

| pinned_memory_pool_byte_size     | 268435456                                                                                                                                                                                    |

| cuda_memory_pool_byte_size{0}    | 536870912                                                                                                                                                                                    |

| response_cache_byte_size         | 0                                                                                                                                                                                            |

| min_supported_compute_capability | 6.0                                                                                                                                                                                          |

| strict_readiness                 | 1                                                                                                                                                                                            |

| exit_timeout                     | 30                                                                                                                                                                                           |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


I1219 15:09:47.708541 3685 server.cc:262] Waiting for in-flight requests to complete.

I1219 15:09:47.708572 3685 server.cc:278] Timeout 30: Found 0 model versions that have in-flight inferences

I1219 15:09:47.708656 3685 server.cc:293] All models are stopped, unloading models

I1219 15:09:47.708669 3685 server.cc:300] Timeout 30: Found 2 live models and 0 in-flight non-inference requests

I1219 15:09:47.708728 3685 tensorflow.cc:2729] TRITONBACKEND_ModelInstanceFinalize: delete instance state

I1219 15:09:47.708773 3685 tensorflow.cc:2729] TRITONBACKEND_ModelInstanceFinalize: delete instance state

I1219 15:09:47.708842 3685 tensorflow.cc:2668] TRITONBACKEND_ModelFinalize: delete model state

I1219 15:09:47.708855 3685 tensorflow.cc:2668] TRITONBACKEND_ModelFinalize: delete model state

I1219 15:09:47.718792 3685 model_lifecycle.cc:578] successfully unloaded '0_predicttensorflowtriton' version 1

I1219 15:09:47.730777 3685 model_lifecycle.cc:578] successfully unloaded '2_predicttensorflowtriton' version 1

I1219 15:09:48.708757 3685 server.cc:300] Timeout 29: Found 0 live models and 0 in-flight non-inference requests

error: creating server: Internal - failed to load all models

W1219 15:09:48.730312 3685 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

__________________________________ test_func ___________________________________


self = <testbook.client.TestbookNotebookClient object at 0x7fe377d76b80>

cell = {'cell_type': 'markdown', 'id': 'd1c899fd', 'metadata': {}, 'source': 'We generate the Triton Inference Server artifacts and export them in the export_path directory.'}

kwargs = {}, cell_indexes = [0, 1, 2, 3, 4, 5, ...]

executed_cells = [{'cell_type': 'code', 'execution_count': 2, 'id': '47c9026a', 'metadata': {'execution': {'iopub.status.busy': '2022-1...: 'markdown', 'id': '25a6ac04', 'metadata': {}, 'source': 'We define the path for the saved workflow and model.'}, ...]

idx = 19


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:





          cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)





../../../.local/lib/python3.8/site-packages/testbook/client.py:133:




args = (<testbook.client.TestbookNotebookClient object at 0x7fe377d76b80>, {'cell_type': 'code', 'execution_count': 10, 'id':...ource': 'export_path = os.path.join(input_path, "ensemble")\nens_conf, node_confs = ensemble.export(export_path)'}, 19)

kwargs = {}


def wrapped(*args, **kwargs):





  return just_run(coro(*args, **kwargs))





../../../.local/lib/python3.8/site-packages/nbclient/util.py:84:




coro = <coroutine object NotebookClient.async_execute_cell at 0x7fe4e8ae0140>


def just_run(coro: Awaitable) -> Any:
    """Make the coroutine run, even if there is an event loop running (using nest_asyncio)"""
    # original from vaex/asyncio.py
    loop = asyncio._get_running_loop()
    if loop is None:
        had_running_loop = False
        try:
            loop = asyncio.get_event_loop()
        except RuntimeError:
            # we can still get 'There is no current event loop in ...'
            loop = asyncio.new_event_loop()
            asyncio.set_event_loop(loop)
    else:
        had_running_loop = True
    if had_running_loop:
        # if there is a running loop, we patch using nest_asyncio
        # to have reentrant event loops
        check_ipython()
        import nest_asyncio

        nest_asyncio.apply()
        check_patch_tornado()





  return loop.run_until_complete(coro)





../../../.local/lib/python3.8/site-packages/nbclient/util.py:62:




self = <_UnixSelectorEventLoop running=False closed=False debug=False>

future = <Task finished name='Task-596' coro=<NotebookClient.async_execute_cell() done, defined at /var/jenkins_home/.local/lib...n'\nFileNotFoundError: [Errno 2] No such file or directory: 'ram:/f144bc29-44d1-4b70-a4f5-8fb31757e7a9/.merlin'\n')>


def run_until_complete(self, future):
    """Run until the Future is done.

    If the argument is a coroutine, it is wrapped in a Task.

    WARNING: It would be disastrous to call run_until_complete()
    with the same coroutine twice -- it would wrap it in two
    different Tasks and that can't be good.

    Return the Future's result, or raise its exception.
    """
    self._check_closed()
    self._check_running()

    new_task = not futures.isfuture(future)
    future = tasks.ensure_future(future, loop=self)
    if new_task:
        # An exception is raised if the future didn't complete, so there
        # is no need to log the "destroy pending task" message
        future._log_destroy_pending = False

    future.add_done_callback(_run_until_complete_cb)
    try:
        self.run_forever()
    except:
        if new_task and future.done() and not future.cancelled():
            # The coroutine raised a BaseException. Consume the exception
            # to not log a warning, the caller doesn't have access to the
            # local task.
            future.exception()
        raise
    finally:
        future.remove_done_callback(_run_until_complete_cb)
    if not future.done():
        raise RuntimeError('Event loop stopped before Future completed.')





  return future.result()





/usr/lib/python3.8/asyncio/base_events.py:616:




self = <testbook.client.TestbookNotebookClient object at 0x7fe377d76b80>

cell = {'cell_type': 'code', 'execution_count': 10, 'id': 'e27246ff', 'metadata': {'execution': {'iopub.status.busy': '2022-1...], 'source': 'export_path = os.path.join(input_path, "ensemble")\nens_conf, node_confs = ensemble.export(export_path)'}

cell_index = 19, execution_count = None, store_history = True


async def async_execute_cell(
    self,
    cell: NotebookNode,
    cell_index: int,
    execution_count: t.Optional[int] = None,
    store_history: bool = True,
) -> NotebookNode:
    """
    Executes a single code cell.

    To execute all cells see :meth:`execute`.

    Parameters
    ----------
    cell : nbformat.NotebookNode
        The cell which is currently being processed.
    cell_index : int
        The position of the cell within the notebook object.
    execution_count : int
        The execution count to be assigned to the cell (default: Use kernel response)
    store_history : bool
        Determines if history should be stored in the kernel (default: False).
        Specific to ipython kernels, which can store command histories.

    Returns
    -------
    output : dict
        The execution output payload (or None for no output).

    Raises
    ------
    CellExecutionError
        If execution failed and should raise an exception, this will be raised
        with defaults about the failure.

    Returns
    -------
    cell : NotebookNode
        The cell which was just processed.
    """
    assert self.kc is not None

    await run_hook(self.on_cell_start, cell=cell, cell_index=cell_index)

    if cell.cell_type != 'code' or not cell.source.strip():
        self.log.debug("Skipping non-executing cell %s", cell_index)
        return cell

    if self.skip_cells_with_tag in cell.metadata.get("tags", []):
        self.log.debug("Skipping tagged cell %s", cell_index)
        return cell

    if self.record_timing:  # clear execution metadata prior to execution
        cell['metadata']['execution'] = {}

    self.log.debug("Executing cell:\n%s", cell.source)

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors or "raises-exception" in cell.metadata.get("tags", [])
    )

    await run_hook(self.on_cell_execute, cell=cell, cell_index=cell_index)
    parent_msg_id = await ensure_async(
        self.kc.execute(
            cell.source, store_history=store_history, stop_on_error=not cell_allows_errors
        )
    )
    await run_hook(self.on_cell_complete, cell=cell, cell_index=cell_index)
    # We launched a code cell to execute
    self.code_cells_executed += 1
    exec_timeout = self._get_timeout(cell)

    cell.outputs = []
    self.clear_before_next_output = False

    task_poll_kernel_alive = asyncio.ensure_future(self._async_poll_kernel_alive())
    task_poll_output_msg = asyncio.ensure_future(
        self._async_poll_output_msg(parent_msg_id, cell, cell_index)
    )
    self.task_poll_for_reply = asyncio.ensure_future(
        self._async_poll_for_reply(
            parent_msg_id, cell, exec_timeout, task_poll_output_msg, task_poll_kernel_alive
        )
    )
    try:
        exec_reply = await self.task_poll_for_reply
    except asyncio.CancelledError:
        # can only be cancelled by task_poll_kernel_alive when the kernel is dead
        task_poll_output_msg.cancel()
        raise DeadKernelError("Kernel died")
    except Exception as e:
        # Best effort to cancel request if it hasn't been resolved
        try:
            # Check if the task_poll_output is doing the raising for us
            if not isinstance(e, CellControlSignal):
                task_poll_output_msg.cancel()
        finally:
            raise

    if execution_count:
        cell['execution_count'] = execution_count





  await self._check_raise_for_error(cell, cell_index, exec_reply)





../../../.local/lib/python3.8/site-packages/nbclient/client.py:965:




self = <testbook.client.TestbookNotebookClient object at 0x7fe377d76b80>

cell = {'cell_type': 'code', 'execution_count': 10, 'id': 'e27246ff', 'metadata': {'execution': {'iopub.status.busy': '2022-1...], 'source': 'export_path = os.path.join(input_path, "ensemble")\nens_conf, node_confs = ensemble.export(export_path)'}

cell_index = 19

exec_reply = {'buffers': [], 'content': {'ename': 'FileNotFoundError', 'engine_info': {'engine_id': -1, 'engine_uuid': '04eedc16-4a...e, 'engine': '04eedc16-4a99-486c-902c-b9c37dc94e86', 'started': '2022-12-19T15:11:42.467503Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E           export_path = os.path.join(input_path, "ensemble")

E           ens_conf, node_confs = ensemble.export(export_path)

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mFileNotFoundError�[0m                         Traceback (most recent call last)

E           Cell �[0;32mIn [10], line 2�[0m

E           �[1;32m      1�[0m export_path �[38;5;241m=�[39m os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(input_path, �[38;5;124m"�[39m�[38;5;124mensemble�[39m�[38;5;124m"�[39m)

E           �[0;32m----> 2�[0m ens_conf, node_confs �[38;5;241m=�[39m �[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mexport�[49m�[43m(�[49m�[43mexport_path�[49m�[43m)�[49m

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py:153�[0m, in �[0;36mEnsemble.export�[0;34m(self, export_path, runtime, **kwargs)�[0m

E           �[1;32m    148�[0m �[38;5;124;03m"""�[39;00m

E           �[1;32m    149�[0m �[38;5;124;03mWrite out an ensemble model configuration directory. The exported�[39;00m

E           �[1;32m    150�[0m �[38;5;124;03mensemble is designed for use with Triton Inference Server.�[39;00m

E           �[1;32m    151�[0m �[38;5;124;03m"""�[39;00m

E           �[1;32m    152�[0m runtime �[38;5;241m=�[39m runtime �[38;5;129;01mor�[39;00m TritonExecutorRuntime()

E           �[0;32m--> 153�[0m �[38;5;28;01mreturn�[39;00m �[43mruntime�[49m�[38;5;241;43m.�[39;49m�[43mexport�[49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[43m,�[49m�[43m �[49m�[43mexport_path�[49m�[43m,�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[38;5;241;43m�[39;49m�[43mkwargs�[49m�[43m)�[49m

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py:135�[0m, in �[0;36mTritonExecutorRuntime.export�[0;34m(self, ensemble, path, version, name)�[0m

E           �[1;32m    132�[0m         �[38;5;28;01mif�[39;00m node_config �[38;5;129;01mis�[39;00m �[38;5;129;01mnot�[39;00m �[38;5;28;01mNone�[39;00m:

E           �[1;32m    133�[0m             node_configs�[38;5;241m.�[39mappend(node_config)

E           �[0;32m--> 135�[0m executor_config �[38;5;241m=�[39m �[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43m_executor_model_export�[49m�[43m(�[49m�[43mpath�[49m�[43m,�[49m�[43m �[49m�[43mname�[49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[43m)�[49m

E           �[1;32m    137�[0m �[38;5;28;01mreturn�[39;00m (executor_config, node_configs)

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py:206�[0m, in �[0;36mTritonExecutorRuntime._executor_model_export�[0;34m(self, path, export_name, ensemble, params, node_id, version)�[0m

E           �[1;32m    198�[0m �[38;5;28;01mwith�[39;00m importlib�[38;5;241m.�[39mresources�[38;5;241m.�[39mpath(

E           �[1;32m    199�[0m     �[38;5;124m"�[39m�[38;5;124mmerlin.systems.triton.models�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mexecutor_model.py�[39m�[38;5;124m"�[39m

E           �[1;32m    200�[0m ) �[38;5;28;01mas�[39;00m executor_model:

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E           �[1;32m    204�[0m     )

E           �[0;32m--> 206�[0m �[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43msave�[49m�[43m(�[49m�[43mos�[49m�[38;5;241;43m.�[39;49m�[43mpath�[49m�[38;5;241;43m.�[39;49m�[43mjoin�[49m�[43m(�[49m�[43mnode_export_path�[49m�[43m,�[49m�[43m �[49m�[38;5;28;43mstr�[39;49m�[43m(�[49m�[43mversion�[49m�[43m)�[49m�[43m,�[49m�[43m �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m)�[49m�[43m)�[49m

E           �[1;32m    208�[0m �[38;5;28;01mreturn�[39;00m config

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py:107�[0m, in �[0;36mEnsemble.save�[0;34m(self, path)�[0m

E           �[1;32m    105�[0m �[38;5;66;03m# dump out the full workflow (graph/stats/operators etc) using cloudpickle�[39;00m

E           �[1;32m    106�[0m �[38;5;28;01mwith�[39;00m fs�[38;5;241m.�[39mopen(fs�[38;5;241m.�[39msep�[38;5;241m.�[39mjoin([path, �[38;5;124m"�[39m�[38;5;124mensemble.pkl�[39m�[38;5;124m"�[39m]), �[38;5;124m"�[39m�[38;5;124mwb�[39m�[38;5;124m"�[39m) �[38;5;28;01mas�[39;00m o:

E           �[0;32m--> 107�[0m     �[43mcloudpickle�[49m�[38;5;241;43m.�[39;49m�[43mdump�[49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[43m,�[49m�[43m �[49m�[43mo�[49m�[43m)�[49m

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/cloudpickle/cloudpickle_fast.py:55�[0m, in �[0;36mdump�[0;34m(obj, file, protocol, buffer_callback)�[0m

E           �[1;32m     45�[0m �[38;5;28;01mdef�[39;00m �[38;5;21mdump�[39m(obj, file, protocol�[38;5;241m=�[39m�[38;5;28;01mNone�[39;00m, buffer_callback�[38;5;241m=�[39m�[38;5;28;01mNone�[39;00m):

E           �[1;32m     46�[0m     �[38;5;124;03m"""Serialize obj as bytes streamed into file�[39;00m

E           �[1;32m     47�[0m

E           �[1;32m     48�[0m �[38;5;124;03m    protocol defaults to cloudpickle.DEFAULT_PROTOCOL which is an alias to�[39;00m

E           �[0;32m   (...)�[0m

E           �[1;32m     53�[0m �[38;5;124;03m    compatibility with older versions of Python.�[39;00m

E           �[1;32m     54�[0m �[38;5;124;03m    """�[39;00m

E           �[0;32m---> 55�[0m     �[43mCloudPickler�[49m�[43m(�[49m

E           �[1;32m     56�[0m �[43m        �[49m�[43mfile�[49m�[43m,�[49m�[43m �[49m�[43mprotocol�[49m�[38;5;241;43m=�[39;49m�[43mprotocol�[49m�[43m,�[49m�[43m �[49m�[43mbuffer_callback�[49m�[38;5;241;43m=�[39;49m�[43mbuffer_callback�[49m

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E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/cloudpickle/cloudpickle_fast.py:632�[0m, in �[0;36mCloudPickler.dump�[0;34m(self, obj)�[0m

E           �[1;32m    630�[0m �[38;5;28;01mdef�[39;00m �[38;5;21mdump�[39m(�[38;5;28mself�[39m, obj):

E           �[1;32m    631�[0m     �[38;5;28;01mtry�[39;00m:

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E           �[1;32m    633�[0m     �[38;5;28;01mexcept�[39;00m �[38;5;167;01mRuntimeError�[39;00m �[38;5;28;01mas�[39;00m e:

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/keras/engine/training.py:324�[0m, in �[0;36mModel.reduce__�[0;34m(self)�[0m

E           �[1;32m    321�[0m �[38;5;28;01mdef�[39;00m �[38;5;21m__reduce__�[39m(�[38;5;28mself�[39m):

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E           �[1;32m    325�[0m   �[38;5;28;01melse�[39;00m:

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E           �[1;32m    331�[0m     �[38;5;66;03m# Thus we call up the superclass hierarchy to get an implementation of�[39;00m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/keras/saving/pickle_utils.py:64�[0m, in �[0;36mserialize_model_as_bytecode�[0;34m(model)�[0m

E           �[1;32m     54�[0m �[38;5;124;03m"""Convert a Keras Model into a bytecode representation for pickling.�[39;00m

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E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py:1189�[0m, in �[0;36mModel.save�[0;34m(self, export_path, include_optimizer, save_traces)�[0m

E           �[1;32m   1187�[0m input_schema �[38;5;241m=�[39m �[38;5;28mself�[39m�[38;5;241m.�[39mschema

E           �[1;32m   1188�[0m output_schema �[38;5;241m=�[39m get_output_schema(export_path)

E           �[0;32m-> 1189�[0m �[43msave_merlin_metadata�[49m�[43m(�[49m�[43mexport_path�[49m�[43m,�[49m�[43m �[49m�[38;5;28;43mself�[39;49m�[43m,�[49m�[43m �[49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43moutput_schema�[49m�[43m)�[49m

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py:36�[0m, in �[0;36msave_merlin_metadata�[0;34m(export_path, model, input_schema, output_schema)�[0m

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E           �[1;32m     38�[0m �[38;5;28;01mif�[39;00m input_schema �[38;5;129;01mis�[39;00m �[38;5;129;01mnot�[39;00m �[38;5;28;01mNone�[39;00m:

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E

E           File �[0;32m/usr/lib/python3.8/pathlib.py:1288�[0m, in �[0;36mPath.mkdir�[0;34m(self, mode, parents, exist_ok)�[0m

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E

E           �[0;31mFileNotFoundError�[0m: [Errno 2] No such file or directory: 'ram:/f144bc29-44d1-4b70-a4f5-8fb31757e7a9/.merlin'

E           FileNotFoundError: [Errno 2] No such file or directory: 'ram:/f144bc29-44d1-4b70-a4f5-8fb31757e7a9/.merlin'


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError


During handling of the above exception, another exception occurred:


def test_func():
    with testbook(
        REPO_ROOT / "examples" / "scaling-criteo" / "02-ETL-with-NVTabular.ipynb",
        execute=False,
        timeout=180,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["BASE_DIR"] = "/tmp/input/criteo/"
            os.environ["INPUT_DATA_DIR"] = "/tmp/input/criteo/"
            os.environ["OUTPUT_DATA_DIR"] = "/tmp/output/criteo/"
            os.system("mkdir -p /tmp/input/criteo")
            os.system("mkdir -p /tmp/output/criteo")

            from merlin.datasets.synthetic import generate_data

            train, valid = generate_data("criteo", int(100000), set_sizes=(0.7, 0.3))

            train.to_ddf().compute().to_parquet('/tmp/input/criteo/day_0.parquet')
            valid.to_ddf().compute().to_parquet('/tmp/input/criteo/day_1.parquet')
            """
        )
        tb1.execute()
        assert os.path.isfile("/tmp/output/criteo/train/part_0.parquet")
        assert os.path.isfile("/tmp/output/criteo/valid/part_0.parquet")
        assert os.path.isfile("/tmp/output/criteo/workflow/metadata.json")

    with testbook(
        REPO_ROOT
        / "examples"
        / "scaling-criteo"
        / "03-Training-with-Merlin-Models-TensorFlow.ipynb",
        execute=False,
        timeout=180,
    ) as tb2:
        tb2.inject(
            """
            import os
            os.environ["INPUT_DATA_DIR"] = "/tmp/output/criteo/"
            """
        )
        tb2.execute()
        metrics = tb2.ref("eval_metrics")
        assert set(metrics.keys()) == set(
            [
                "auc",
                "binary_accuracy",
                "loss",
                "precision",
                "recall",
                "regularization_loss",
                "loss_batch",
            ]
        )
        assert os.path.isfile("/tmp/output/criteo/dlrm/saved_model.pb")

    with testbook(
        REPO_ROOT
        / "examples"
        / "scaling-criteo"
        / "04-Triton-Inference-with-Merlin-Models-TensorFlow.ipynb",
        execute=False,
        timeout=180,
    ) as tb3:
        tb3.inject(
            """
            import os
            os.environ["BASE_DIR"] = "/tmp/output/criteo/"
            os.environ["INPUT_FOLDER"] = "/tmp/input/criteo/"
            """
        )
        NUM_OF_CELLS = len(tb3.cells)





      tb3.execute_cell(list(range(0, NUM_OF_CELLS - 5)))





tests/unit/examples/test_scaling_criteo_merlin_models.py:83:




self = <testbook.client.TestbookNotebookClient object at 0x7fe377d76b80>

cell = {'cell_type': 'markdown', 'id': 'd1c899fd', 'metadata': {}, 'source': 'We generate the Triton Inference Server artifacts and export them in the export_path directory.'}

kwargs = {}, cell_indexes = [0, 1, 2, 3, 4, 5, ...]

executed_cells = [{'cell_type': 'code', 'execution_count': 2, 'id': '47c9026a', 'metadata': {'execution': {'iopub.status.busy': '2022-1...: 'markdown', 'id': '25a6ac04', 'metadata': {}, 'source': 'We define the path for the saved workflow and model.'}, ...]

idx = 19


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:
            cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)
        except CellExecutionError as ce:





          raise TestbookRuntimeError(ce.evalue, ce, self._get_error_class(ce.ename))





E               testbook.exceptions.TestbookRuntimeError: An error occurred while executing the following cell:

E               ------------------

E               export_path = os.path.join(input_path, "ensemble")

E               ens_conf, node_confs = ensemble.export(export_path)

E               ------------------

E

E               �[0;31m---------------------------------------------------------------------------�[0m

E               �[0;31mFileNotFoundError�[0m                         Traceback (most recent call last)

E               Cell �[0;32mIn [10], line 2�[0m

E               �[1;32m      1�[0m export_path �[38;5;241m=�[39m os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(input_path, �[38;5;124m"�[39m�[38;5;124mensemble�[39m�[38;5;124m"�[39m)

E               �[0;32m----> 2�[0m ens_conf, node_confs �[38;5;241m=�[39m �[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mexport�[49m�[43m(�[49m�[43mexport_path�[49m�[43m)�[49m

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py:153�[0m, in �[0;36mEnsemble.export�[0;34m(self, export_path, runtime, **kwargs)�[0m

E               �[1;32m    148�[0m �[38;5;124;03m"""�[39;00m

E               �[1;32m    149�[0m �[38;5;124;03mWrite out an ensemble model configuration directory. The exported�[39;00m

E               �[1;32m    150�[0m �[38;5;124;03mensemble is designed for use with Triton Inference Server.�[39;00m

E               �[1;32m    151�[0m �[38;5;124;03m"""�[39;00m

E               �[1;32m    152�[0m runtime �[38;5;241m=�[39m runtime �[38;5;129;01mor�[39;00m TritonExecutorRuntime()

E               �[0;32m--> 153�[0m �[38;5;28;01mreturn�[39;00m �[43mruntime�[49m�[38;5;241;43m.�[39;49m�[43mexport�[49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[43m,�[49m�[43m �[49m�[43mexport_path�[49m�[43m,�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[38;5;241;43m�[39;49m�[43mkwargs�[49m�[43m)�[49m

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py:135�[0m, in �[0;36mTritonExecutorRuntime.export�[0;34m(self, ensemble, path, version, name)�[0m

E               �[1;32m    132�[0m         �[38;5;28;01mif�[39;00m node_config �[38;5;129;01mis�[39;00m �[38;5;129;01mnot�[39;00m �[38;5;28;01mNone�[39;00m:

E               �[1;32m    133�[0m             node_configs�[38;5;241m.�[39mappend(node_config)

E               �[0;32m--> 135�[0m executor_config �[38;5;241m=�[39m �[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43m_executor_model_export�[49m�[43m(�[49m�[43mpath�[49m�[43m,�[49m�[43m �[49m�[43mname�[49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[43m)�[49m

E               �[1;32m    137�[0m �[38;5;28;01mreturn�[39;00m (executor_config, node_configs)

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py:206�[0m, in �[0;36mTritonExecutorRuntime._executor_model_export�[0;34m(self, path, export_name, ensemble, params, node_id, version)�[0m

E               �[1;32m    198�[0m �[38;5;28;01mwith�[39;00m importlib�[38;5;241m.�[39mresources�[38;5;241m.�[39mpath(

E               �[1;32m    199�[0m     �[38;5;124m"�[39m�[38;5;124mmerlin.systems.triton.models�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mexecutor_model.py�[39m�[38;5;124m"�[39m

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E               �[1;32m    204�[0m     )

E               �[0;32m--> 206�[0m �[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43msave�[49m�[43m(�[49m�[43mos�[49m�[38;5;241;43m.�[39;49m�[43mpath�[49m�[38;5;241;43m.�[39;49m�[43mjoin�[49m�[43m(�[49m�[43mnode_export_path�[49m�[43m,�[49m�[43m �[49m�[38;5;28;43mstr�[39;49m�[43m(�[49m�[43mversion�[49m�[43m)�[49m�[43m,�[49m�[43m �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m)�[49m�[43m)�[49m

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E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py:107�[0m, in �[0;36mEnsemble.save�[0;34m(self, path)�[0m

E               �[1;32m    105�[0m �[38;5;66;03m# dump out the full workflow (graph/stats/operators etc) using cloudpickle�[39;00m

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E

E               File �[0;32m/usr/local/lib/python3.8/dist-packages/cloudpickle/cloudpickle_fast.py:55�[0m, in �[0;36mdump�[0;34m(obj, file, protocol, buffer_callback)�[0m

E               �[1;32m     45�[0m �[38;5;28;01mdef�[39;00m �[38;5;21mdump�[39m(obj, file, protocol�[38;5;241m=�[39m�[38;5;28;01mNone�[39;00m, buffer_callback�[38;5;241m=�[39m�[38;5;28;01mNone�[39;00m):

E               �[1;32m     46�[0m     �[38;5;124;03m"""Serialize obj as bytes streamed into file�[39;00m

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E               �[1;32m     53�[0m �[38;5;124;03m    compatibility with older versions of Python.�[39;00m

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E               �[0;32m---> 55�[0m     �[43mCloudPickler�[49m�[43m(�[49m

E               �[1;32m     56�[0m �[43m        �[49m�[43mfile�[49m�[43m,�[49m�[43m �[49m�[43mprotocol�[49m�[38;5;241;43m=�[39;49m�[43mprotocol�[49m�[43m,�[49m�[43m �[49m�[43mbuffer_callback�[49m�[38;5;241;43m=�[39;49m�[43mbuffer_callback�[49m

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E               File �[0;32m/usr/local/lib/python3.8/dist-packages/cloudpickle/cloudpickle_fast.py:632�[0m, in �[0;36mCloudPickler.dump�[0;34m(self, obj)�[0m

E               �[1;32m    630�[0m �[38;5;28;01mdef�[39;00m �[38;5;21mdump�[39m(�[38;5;28mself�[39m, obj):

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E

E               File �[0;32m~/.local/lib/python3.8/site-packages/keras/engine/training.py:324�[0m, in �[0;36mModel.reduce__�[0;34m(self)�[0m

E               �[1;32m    321�[0m �[38;5;28;01mdef�[39;00m �[38;5;21m__reduce__�[39m(�[38;5;28mself�[39m):

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E

E               File �[0;32m~/.local/lib/python3.8/site-packages/keras/saving/pickle_utils.py:64�[0m, in �[0;36mserialize_model_as_bytecode�[0;34m(model)�[0m

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E               File �[0;32m/usr/lib/python3.8/pathlib.py:1288�[0m, in �[0;36mPath.mkdir�[0;34m(self, mode, parents, exist_ok)�[0m

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E               �[0;31mFileNotFoundError�[0m: [Errno 2] No such file or directory: 'ram:/f144bc29-44d1-4b70-a4f5-8fb31757e7a9/.merlin'

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../../../.local/lib/python3.8/site-packages/testbook/client.py:135: TestbookRuntimeError

----------------------------- Captured stderr call -----------------------------

2022-12-19 15:10:02,952 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-19 15:10:02,958 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-19 15:10:02,981 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-19 15:10:03,014 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

/usr/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 27 leaked semaphore objects to clean up at shutdown

warnings.warn('resource_tracker: There appear to be %d '

2022-12-19 15:10:23.185898: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-19 15:10:27.285865: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-12-19 15:10:27.285966: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 15:10:27.286735: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 1

2022-12-19 15:10:27.286791: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-19 15:10:27.287387: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 2

2022-12-19 15:10:27.287434: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-19 15:10:27.288009: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 3

2022-12-19 15:10:27.288070: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

2022-12-19 15:11:25.385123: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-19 15:11:29.447076: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-12-19 15:11:29.447180: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 15:11:29.447937: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 1

2022-12-19 15:11:29.447993: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-19 15:11:29.449099: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 2

2022-12-19 15:11:29.449243: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-19 15:11:29.450429: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 3

2022-12-19 15:11:29.450568: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

=============================== warnings summary ===============================

../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33

/usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

DASK_VERSION = LooseVersion(dask.version)


.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: 34 warnings

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

other = LooseVersion(other)


tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/nvtabular/tools/data_gen.py:126: DeprecationWarning: np.long is a deprecated alias for np.compat.long. To silence this warning, use np.compat.long by itself. In the likely event your code does not need to work on Python 2 you can use the builtin int for which np.compat.long is itself an alias. Doing this will not modify any behaviour and is safe. When replacing np.long, you may wish to use e.g. np.int64 or np.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information.

Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

col_size + 1, dtype=np.long, min_val=col.multi_min, max_val=col.multi_max


tests/unit/examples/test_z_legacy_notebooks.py: 12 warnings

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/nvtabular/tools/data_gen.py:140: DeprecationWarning: np.long is a deprecated alias for np.compat.long. To silence this warning, use np.compat.long by itself. In the likely event your code does not need to work on Python 2 you can use the builtin int for which np.compat.long is itself an alias. Doing this will not modify any behaviour and is safe. When replacing np.long, you may wish to use e.g. np.int64 or np.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information.

Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

col_size, dtype=np.long, min_val=col.min_val, max_val=col.cardinality


tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/nvtabular/loader/init.py:19: DeprecationWarning: The nvtabular.loader module has moved to a new repository, at https://github.com/NVIDIA-Merlin/dataloader .  Support for importing from nvtabular.loader is deprecated, and will be removed in a future version. Please update your imports to refer to merlinloader.

warnings.warn(


tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/init.py:23: DeprecationWarning: The merlin.loader package has been moved to merlin.dataloader. Please update your imports, importing from merlin.loader is deprecated and will be removed in a future version

warnings.warn(


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       366    166    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          197     98    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   121     16    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141     26    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    110    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22      1    95%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      2    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/init.py                                   2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/_version.py                                   4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/loader_base.py                              446     98    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/tensorflow.py                               114     38    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/tf_utils.py                                  57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/torch.py                                     66     33    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    102    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  155     61    61%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     11    81%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181     96    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     36    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21      2    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    123    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37      8    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          624    335    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     12    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     11    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190     65    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18      5    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/init.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/tensorflow.py                                     1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/torch.py                                          1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     16    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            15      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                                16      5    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   69      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49      8    84%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                            158    122    23%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     55    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     58    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     175     95    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30      4    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29      7    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     12    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    107    56%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 242    108    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    150    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              182    125    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                106     71    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     19    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280     71    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                64     39    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39      4    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    154    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    131     71    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198     82    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               782    350    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     43    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     44    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      2    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    108    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     22    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     31    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        102     55    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    87     29    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       302    227    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         165     79    52%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/batch_utils.py                          85     12    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     48    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     22    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    141    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31     10    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     90    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     31    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     39    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      4    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306      7    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     33    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       229     56    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82      5    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/init.py                                      6      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/_version.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/init.py                                  4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/dictarray.py                               134     82    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py                                 46      3    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/node.py                                     23      2    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py                                26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/init.py                             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/compat.py                               32      8    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py                                77     15    81%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/feast.py                               118     56    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/fil.py                                 221    125    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/operator.py                             79     32    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/pytorch.py                              43     26    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/session_filter.py                       45     28    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/softmax_sampling.py                     51     21    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/tensorflow.py                           67     17    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/unroll_features.py                      50     21    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/workflow.py                             29      4    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/init.py                         1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/base_runtime.py                    11      2    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/init.py                  1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/init.py              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/fil.py                  95     66    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/operator.py             12      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/pytorch.py              62     37    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/tensorflow.py           53      4    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/workflow.py             47     15    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py                  90      4    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/model_registry.py                               16      8    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/init.py                              49     34    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py                          143    120    16%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/export.py                               268    210    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/models/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py                                 72     26    64%


TOTAL                                                                                                 15421   7101    54%


=========================== short test summary info ============================

SKIPPED [1] tests/unit/examples/test_scaling_criteo_merlin_models_hugectr.py:7: could not import 'hugectr': No module named 'hugectr'

======= 2 failed, 4 passed, 1 skipped, 51 warnings in 421.61s (0:07:01) ========

ERROR: InvocationError for command /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python -m pytest --cov-report term --cov merlin -rxs tests/unit (exited with code 1)

___________________________________ summary ____________________________________

ERROR:   test-gpu: commands failed

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[workspace] $ /bin/bash /tmp/jenkins15419439907336113851.sh

@jperez999
Copy link
Collaborator

rerun tests

@nvidia-merlin-bot
Copy link
Contributor

Click to view CI Results
GitHub pull request #770 of commit 9d6ed0540beb47608af1d13c8dac8342d11293d4, no merge conflicts.
Running as SYSTEM
Setting status of 9d6ed0540beb47608af1d13c8dac8342d11293d4 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/704/ and message: 'Pending'
Using context: Jenkins
Building on the built-in node in workspace /var/jenkins_home/jobs/merlin_merlin/workspace
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/770/*:refs/remotes/origin/pr/770/* # timeout=10
 > git rev-parse 9d6ed0540beb47608af1d13c8dac8342d11293d4^{commit} # timeout=10
Checking out Revision 9d6ed0540beb47608af1d13c8dac8342d11293d4 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 9d6ed0540beb47608af1d13c8dac8342d11293d4 # timeout=10
Commit message: "Pin pyarrow version for integration tests"
 > git rev-list --no-walk 9d6ed0540beb47608af1d13c8dac8342d11293d4 # timeout=10
[workspace] $ /bin/bash /tmp/jenkins14922779110081300564.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.9.0,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.32,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.32,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==7.0.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.5,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.1.0,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.45,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='2889419830'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-fdayma97
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-fdayma97
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit b41b8a14cb424a0b88dcb24b9c684c8f5e43c92d
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Collecting treelite-runtime==2.4.0
  Downloading treelite_runtime-2.4.0-py3-none-manylinux2014_x86_64.whl (191 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 191.5/191.5 kB 3.2 MB/s eta 0:00:00
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+35.gb41b8a1) (0.3.0+12.g78ecddd)
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+35.gb41b8a1) (2.22.0)
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+35.gb41b8a1) (1.1.1)
Collecting treelite==2.4.0
  Downloading treelite-2.4.0-py3-none-manylinux2014_x86_64.whl (852 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 852.7/852.7 kB 13.9 MB/s eta 0:00:00
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+35.gb41b8a1) (1.20.3)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from treelite==2.4.0->merlin-systems==0.7.0+35.gb41b8a1) (1.8.1)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (21.3)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (1.3.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (4.64.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (1.10.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (0.55.1)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (3.19.5)
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Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (65.6.3)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
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Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+35.gb41b8a1) (2022.2.1)
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Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+35.gb41b8a1-py3-none-any.whl size=99652 sha256=bd98e7ebfe35a27df7800afd832b1728ecc31e568b02cfbd9e632b4b11a1247a
  Stored in directory: /tmp/pip-ephem-wheel-cache-vb5ctgnn/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, treelite-runtime, treelite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: treelite-runtime
    Found existing installation: treelite-runtime 2.3.0
    Not uninstalling treelite-runtime at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite-runtime'. No files were found to uninstall.
  Attempting uninstall: treelite
    Found existing installation: treelite 2.3.0
    Not uninstalling treelite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+35.gb41b8a1 treelite-2.4.0 treelite-runtime-2.4.0
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-8l2evllm
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-8l2evllm
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit 0bd366faa6d7a6568d42ba2e1a15f12ba0343c72
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+70.g0bd366fa) (0.3.0+12.g78ecddd)
Collecting merlin-dataloader>=0.0.2
  Downloading merlin-dataloader-0.0.3.tar.gz (48 kB)
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  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
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Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (1.0.1)
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Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+70.g0bd366fa) (4.0.0)
Building wheels for collected packages: merlin-models, merlin-dataloader
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+70.g0bd366fa-py3-none-any.whl size=357246 sha256=2bee3acb5efeb95470b1a14ce9c82c0ce33da97c8220d8aa6614cf93a65ec831
  Stored in directory: /tmp/pip-ephem-wheel-cache-b71h0168/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.3-py3-none-any.whl size=37647 sha256=fe0087ab371105711a1e0947beb91f6fb978b4130cb40a01cc3628a42816d78f
  Stored in directory: /tmp/pip-ephem-wheel-cache-b71h0168/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built merlin-models merlin-dataloader
Installing collected packages: merlin-dataloader, merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-dataloader-0.0.3 merlin-models-0.9.0+70.g0bd366fa
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-7zv05yqy
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-7zv05yqy
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit 985510ef0f529aa54a8ac29414d3ed71542c4c62
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+22.g985510ef) (0.3.0+12.g78ecddd)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+22.g985510ef) (1.8.1)
Requirement already satisfied: merlin-dataloader>=0.0.2 in ./.tox/test-gpu/lib/python3.8/site-packages (from nvtabular==1.6.0+22.g985510ef) (0.0.3)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (21.3)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.3.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (4.64.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.10.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.55.1)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (7.0.0)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+22.g985510ef) (1.20.3)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.5.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (5.4.1)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (8.1.3)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.7.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.0.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (5.8.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.4.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (6.1)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (3.1.2)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.0.4)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (65.6.3)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.38.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.8.2)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (4.0.0)
Building wheels for collected packages: nvtabular
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+22.g985510ef-cp38-cp38-linux_x86_64.whl size=257120 sha256=461c11b0b719bd6b783884f92d8e2d689d7ddc6973717b452ac5549250e3923d
  Stored in directory: /tmp/pip-ephem-wheel-cache-1s0jn11k/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
Successfully built nvtabular
Installing collected packages: nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed nvtabular-1.6.0+22.g985510ef
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-i3t0bjmv
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-i3t0bjmv
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 73c2afc277967015e2f334b8c57a9e8789fa19bd
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (21.3)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (1.3.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (4.64.1)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (2022.5.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (1.10.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (0.55.1)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (7.0.0)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (2022.3.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (2.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (5.4.1)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.2.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (8.1.3)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.7.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (2.0.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (5.8.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (2.4.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (6.1)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (3.1.2)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.0.4)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+19.g73c2afc) (65.6.3)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+19.g73c2afc) (1.20.3)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+19.g73c2afc) (0.38.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.9.0+19.g73c2afc) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (2.8.2)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (4.0.0)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+19.g73c2afc-py3-none-any.whl size=119766 sha256=5d94bcdb084b7a26ddab1a411edad2b072c0049bed59f7095da40f70751b92d2
  Stored in directory: /tmp/pip-ephem-wheel-cache-9g6jjt7j/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.9.0+19.g73c2afc
test-gpu run-test: commands[4] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/dataloader.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/dataloader.git
  Cloning https://github.com/NVIDIA-Merlin/dataloader.git to /tmp/pip-req-build-3gpxcz_u
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/dataloader.git /tmp/pip-req-build-3gpxcz_u
  Resolved https://github.com/NVIDIA-Merlin/dataloader.git to commit c52a7071c522c0fb5ad485675195c973743f66bc
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.8.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from merlin-dataloader==0.0.2+26.gc52a707) (0.9.0+19.g73c2afc)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (21.3)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (1.3.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (4.64.1)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (2022.5.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (1.10.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (0.55.1)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (7.0.0)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (2022.3.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (2.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (5.4.1)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (1.2.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (8.1.3)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (1.7.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (2.0.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (5.8.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (2.4.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (6.1)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (3.1.2)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (1.0.4)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (65.6.3)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (1.20.3)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (0.38.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (2.8.2)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+26.gc52a707) (4.0.0)
Building wheels for collected packages: merlin-dataloader
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.2+26.gc52a707-py3-none-any.whl size=40769 sha256=c085e3180922ddaeaf58c4cd73ab56228ab81be9142a1297c9bd990cccbb9ad7
  Stored in directory: /tmp/pip-ephem-wheel-cache-12iicixp/wheels/de/f5/d9/251909f4627d2920fb15548f5ffd6daf1bf24c3c56bb4977b1
Successfully built merlin-dataloader
Installing collected packages: merlin-dataloader
  Attempting uninstall: merlin-dataloader
    Found existing installation: merlin-dataloader 0.0.3
    Uninstalling merlin-dataloader-0.0.3:
      Successfully uninstalled merlin-dataloader-0.0.3
Successfully installed merlin-dataloader-0.0.2+26.gc52a707
test-gpu run-test: commands[5] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, cov-4.0.0, xdist-3.1.0
collected 6 items / 1 skipped

tests/unit/test_version.py .                                             [ 16%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py F      [ 33%]

tests/unit/examples/test_scaling_criteo_merlin_models.py F               [ 50%]

tests/unit/examples/test_scaling_criteo_optimize_notebook.py .           [ 66%]

tests/unit/examples/test_z_legacy_notebooks.py ..                        [100%]


=================================== FAILURES ===================================

__________________________________ test_func ___________________________________


self = <testbook.client.TestbookNotebookClient object at 0x7fac0382ca00>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:





          cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)





../../../.local/lib/python3.8/site-packages/testbook/client.py:133:




args = (<testbook.client.TestbookNotebookClient object at 0x7fac0382ca00>, {'id': '3f8369bc', 'cell_type': 'code', 'metadata'...[38;5;241m.\x1b[39mis_server_ready()\n', '\x1b[0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)']}]}, 55)

kwargs = {}


def wrapped(*args, **kwargs):





  return just_run(coro(*args, **kwargs))





../../../.local/lib/python3.8/site-packages/nbclient/util.py:84:




coro = <coroutine object NotebookClient.async_execute_cell at 0x7fac50d3b3c0>


def just_run(coro: Awaitable) -> Any:
    """Make the coroutine run, even if there is an event loop running (using nest_asyncio)"""
    # original from vaex/asyncio.py
    loop = asyncio._get_running_loop()
    if loop is None:
        had_running_loop = False
        try:
            loop = asyncio.get_event_loop()
        except RuntimeError:
            # we can still get 'There is no current event loop in ...'
            loop = asyncio.new_event_loop()
            asyncio.set_event_loop(loop)
    else:
        had_running_loop = True
    if had_running_loop:
        # if there is a running loop, we patch using nest_asyncio
        # to have reentrant event loops
        check_ipython()
        import nest_asyncio

        nest_asyncio.apply()
        check_patch_tornado()





  return loop.run_until_complete(coro)





../../../.local/lib/python3.8/site-packages/nbclient/util.py:62:




self = <_UnixSelectorEventLoop running=False closed=False debug=False>

future = <Task finished name='Task-377' coro=<NotebookClient.async_execute_cell() done, defined at /var/jenkins_home/.local/lib...0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)\nRuntimeError: Tritonserver failed to start (ret=1)\n')>


def run_until_complete(self, future):
    """Run until the Future is done.

    If the argument is a coroutine, it is wrapped in a Task.

    WARNING: It would be disastrous to call run_until_complete()
    with the same coroutine twice -- it would wrap it in two
    different Tasks and that can't be good.

    Return the Future's result, or raise its exception.
    """
    self._check_closed()
    self._check_running()

    new_task = not futures.isfuture(future)
    future = tasks.ensure_future(future, loop=self)
    if new_task:
        # An exception is raised if the future didn't complete, so there
        # is no need to log the "destroy pending task" message
        future._log_destroy_pending = False

    future.add_done_callback(_run_until_complete_cb)
    try:
        self.run_forever()
    except:
        if new_task and future.done() and not future.cancelled():
            # The coroutine raised a BaseException. Consume the exception
            # to not log a warning, the caller doesn't have access to the
            # local task.
            future.exception()
        raise
    finally:
        future.remove_done_callback(_run_until_complete_cb)
    if not future.done():
        raise RuntimeError('Event loop stopped before Future completed.')





  return future.result()





/usr/lib/python3.8/asyncio/base_events.py:616:




self = <testbook.client.TestbookNotebookClient object at 0x7fac0382ca00>

cell = {'id': '3f8369bc', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-19T16:41:31.592940Z',...t\x1b[38;5;241m.\x1b[39mis_server_ready()\n', '\x1b[0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)']}]}

cell_index = 55, execution_count = None, store_history = True


async def async_execute_cell(
    self,
    cell: NotebookNode,
    cell_index: int,
    execution_count: t.Optional[int] = None,
    store_history: bool = True,
) -> NotebookNode:
    """
    Executes a single code cell.

    To execute all cells see :meth:`execute`.

    Parameters
    ----------
    cell : nbformat.NotebookNode
        The cell which is currently being processed.
    cell_index : int
        The position of the cell within the notebook object.
    execution_count : int
        The execution count to be assigned to the cell (default: Use kernel response)
    store_history : bool
        Determines if history should be stored in the kernel (default: False).
        Specific to ipython kernels, which can store command histories.

    Returns
    -------
    output : dict
        The execution output payload (or None for no output).

    Raises
    ------
    CellExecutionError
        If execution failed and should raise an exception, this will be raised
        with defaults about the failure.

    Returns
    -------
    cell : NotebookNode
        The cell which was just processed.
    """
    assert self.kc is not None

    await run_hook(self.on_cell_start, cell=cell, cell_index=cell_index)

    if cell.cell_type != 'code' or not cell.source.strip():
        self.log.debug("Skipping non-executing cell %s", cell_index)
        return cell

    if self.skip_cells_with_tag in cell.metadata.get("tags", []):
        self.log.debug("Skipping tagged cell %s", cell_index)
        return cell

    if self.record_timing:  # clear execution metadata prior to execution
        cell['metadata']['execution'] = {}

    self.log.debug("Executing cell:\n%s", cell.source)

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors or "raises-exception" in cell.metadata.get("tags", [])
    )

    await run_hook(self.on_cell_execute, cell=cell, cell_index=cell_index)
    parent_msg_id = await ensure_async(
        self.kc.execute(
            cell.source, store_history=store_history, stop_on_error=not cell_allows_errors
        )
    )
    await run_hook(self.on_cell_complete, cell=cell, cell_index=cell_index)
    # We launched a code cell to execute
    self.code_cells_executed += 1
    exec_timeout = self._get_timeout(cell)

    cell.outputs = []
    self.clear_before_next_output = False

    task_poll_kernel_alive = asyncio.ensure_future(self._async_poll_kernel_alive())
    task_poll_output_msg = asyncio.ensure_future(
        self._async_poll_output_msg(parent_msg_id, cell, cell_index)
    )
    self.task_poll_for_reply = asyncio.ensure_future(
        self._async_poll_for_reply(
            parent_msg_id, cell, exec_timeout, task_poll_output_msg, task_poll_kernel_alive
        )
    )
    try:
        exec_reply = await self.task_poll_for_reply
    except asyncio.CancelledError:
        # can only be cancelled by task_poll_kernel_alive when the kernel is dead
        task_poll_output_msg.cancel()
        raise DeadKernelError("Kernel died")
    except Exception as e:
        # Best effort to cancel request if it hasn't been resolved
        try:
            # Check if the task_poll_output is doing the raising for us
            if not isinstance(e, CellControlSignal):
                task_poll_output_msg.cancel()
        finally:
            raise

    if execution_count:
        cell['execution_count'] = execution_count





  await self._check_raise_for_error(cell, cell_index, exec_reply)





../../../.local/lib/python3.8/site-packages/nbclient/client.py:965:




self = <testbook.client.TestbookNotebookClient object at 0x7fac0382ca00>

cell = {'id': '3f8369bc', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-19T16:41:31.592940Z',...t\x1b[38;5;241m.\x1b[39mis_server_ready()\n', '\x1b[0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)']}]}

cell_index = 55

exec_reply = {'buffers': [], 'content': {'ename': 'RuntimeError', 'engine_info': {'engine_id': -1, 'engine_uuid': 'cdbe1e84-804e-46...e, 'engine': 'cdbe1e84-804e-46be-bbf8-9d578e055108', 'started': '2022-12-19T16:41:31.593252Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E

E           import shutil

E           from merlin.core.dispatch import get_lib

E           from merlin.dataloader.tf_utils import configure_tensorflow

E           configure_tensorflow()

E           df_lib = get_lib()

E           batch = df_lib.read_parquet(

E               os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E               num_rows=1,

E               columns=["user_id_raw"],

E           )

E           from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E           response = run_ensemble_on_tritonserver(

E               "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"

E           )

E           response = [x.tolist()[0] for x in response["ordered_ids"]]

E           shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mRuntimeError�[0m                              Traceback (most recent call last)

E           Cell �[0;32mIn [32], line 12�[0m

E           �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

E           �[1;32m      7�[0m     os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(�[38;5;124m"�[39m�[38;5;124m/tmp/data/processed_nvt/�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mtrain�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mpart_0.parquet�[39m�[38;5;124m"�[39m),

E           �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

E           �[1;32m      9�[0m     columns�[38;5;241m=�[39m[�[38;5;124m"�[39m�[38;5;124muser_id_raw�[39m�[38;5;124m"�[39m],

E           �[1;32m     10�[0m )

E           �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E           �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E           �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E           �[1;32m     14�[0m �[43m)�[49m

E           �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E           �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:139�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E           �[1;32m    116�[0m �[38;5;124;03m"""Starts up a Triton server instance, loads up the ensemble model,�[39;00m

E           �[1;32m    117�[0m �[38;5;124;03mprepares the inference request and returns the unparsed inference�[39;00m

E           �[1;32m    118�[0m �[38;5;124;03mresponse.�[39;00m

E           �[0;32m   (...)�[0m

E           �[1;32m    136�[0m �[38;5;124;03m    the results of the prediction, parsed by output column name.�[39;00m

E           �[1;32m    137�[0m �[38;5;124;03m"""�[39;00m

E           �[1;32m    138�[0m response �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E           �[0;32m--> 139�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

E           �[1;32m    140�[0m     response �[38;5;241m=�[39m send_triton_request(

E           �[1;32m    141�[0m         schema, df, output_columns, client�[38;5;241m=�[39mclient, triton_model�[38;5;241m=�[39mmodel_name

E           �[1;32m    142�[0m     )

E           �[1;32m    144�[0m �[38;5;28;01mreturn�[39;00m response

E

E           File �[0;32m/usr/lib/python3.8/contextlib.py:113�[0m, in �[0;36m_GeneratorContextManager.__enter__�[0;34m(self)�[0m

E           �[1;32m    111�[0m �[38;5;28;01mdel�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39margs, �[38;5;28mself�[39m�[38;5;241m.�[39mkwds, �[38;5;28mself�[39m�[38;5;241m.�[39mfunc

E           �[1;32m    112�[0m �[38;5;28;01mtry�[39;00m:

E           �[0;32m--> 113�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28;43mnext�[39;49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mgen�[49m�[43m)�[49m

E           �[1;32m    114�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mStopIteration�[39;00m:

E           �[1;32m    115�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124m"�[39m�[38;5;124mgenerator didn�[39m�[38;5;124m'�[39m�[38;5;124mt yield�[39m�[38;5;124m"�[39m) �[38;5;28;01mfrom�[39;00m �[38;5;28mNone�[39m

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:82�[0m, in �[0;36mrun_triton_server�[0;34m(model_repository, grpc_host, grpc_port, backend_config)�[0m

E           �[1;32m     80�[0m �[38;5;28;01mif�[39;00m process�[38;5;241m.�[39mpoll() �[38;5;129;01mis�[39;00m �[38;5;129;01mnot�[39;00m �[38;5;28;01mNone�[39;00m:

E           �[1;32m     81�[0m     retcode �[38;5;241m=�[39m process�[38;5;241m.�[39mreturncode

E           �[0;32m---> 82�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124mf�[39m�[38;5;124m"�[39m�[38;5;124mTritonserver failed to start (ret=�[39m�[38;5;132;01m{�[39;00mretcode�[38;5;132;01m}�[39;00m�[38;5;124m)�[39m�[38;5;124m"�[39m)

E           �[1;32m     84�[0m �[38;5;28;01mtry�[39;00m:

E           �[1;32m     85�[0m     ready �[38;5;241m=�[39m client�[38;5;241m.�[39mis_server_ready()

E

E           �[0;31mRuntimeError�[0m: Tritonserver failed to start (ret=1)

E           RuntimeError: Tritonserver failed to start (ret=1)


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError


During handling of the above exception, another exception occurred:


def test_func():
    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "01-Building-Recommender-Systems-with-Merlin.ipynb",
        execute=False,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["NUM_ROWS"] = "100000"
            os.system("mkdir -p /tmp/examples")
            os.environ["BASE_DIR"] = "/tmp/examples/"
            """
        )
        tb1.execute()
        assert os.path.isdir("/tmp/examples/dlrm")
        assert os.path.isdir("/tmp/examples/feature_repo")
        assert os.path.isdir("/tmp/examples/query_tower")
        assert os.path.isfile("/tmp/examples/item_embeddings.parquet")
        assert os.path.isfile("/tmp/examples/feature_repo/user_features.py")
        assert os.path.isfile("/tmp/examples/feature_repo/item_features.py")

    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "02-Deploying-multi-stage-RecSys-with-Merlin-Systems.ipynb",
        execute=False,
        timeout=180,
    ) as tb2:
        tb2.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["BASE_DIR"] = "/tmp/examples/"
            os.environ["topk_retrieval"] = "20"
            """
        )
        NUM_OF_CELLS = len(tb2.cells)
        tb2.execute_cell(list(range(0, NUM_OF_CELLS - 3)))
        top_k = tb2.ref("top_k")
        outputs = tb2.ref("outputs")
        assert outputs[0] == "ordered_ids"





      tb2.inject(





            """
            import shutil
            from merlin.core.dispatch import get_lib
            from merlin.dataloader.tf_utils import configure_tensorflow
            configure_tensorflow()
            df_lib = get_lib()
            batch = df_lib.read_parquet(
                os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),
                num_rows=1,
                columns=["user_id_raw"],
            )
            from merlin.systems.triton.utils import run_ensemble_on_tritonserver
            response = run_ensemble_on_tritonserver(
                "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"
            )
            response = [x.tolist()[0] for x in response["ordered_ids"]]
            shutil.rmtree("/tmp/examples/", ignore_errors=True)
            """
        )



tests/unit/examples/test_building_deploying_multi_stage_RecSys.py:61:




../../../.local/lib/python3.8/site-packages/testbook/client.py:237: in inject

cell = TestbookNode(self.execute_cell(inject_idx)) if run else TestbookNode(code_cell)




self = <testbook.client.TestbookNotebookClient object at 0x7fac0382ca00>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:
            cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)
        except CellExecutionError as ce:





          raise TestbookRuntimeError(ce.evalue, ce, self._get_error_class(ce.ename))





E               testbook.exceptions.TestbookRuntimeError: An error occurred while executing the following cell:

E               ------------------

E

E               import shutil

E               from merlin.core.dispatch import get_lib

E               from merlin.dataloader.tf_utils import configure_tensorflow

E               configure_tensorflow()

E               df_lib = get_lib()

E               batch = df_lib.read_parquet(

E                   os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E                   num_rows=1,

E                   columns=["user_id_raw"],

E               )

E               from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E               response = run_ensemble_on_tritonserver(

E                   "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"

E               )

E               response = [x.tolist()[0] for x in response["ordered_ids"]]

E               shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E               ------------------

E

E               �[0;31m---------------------------------------------------------------------------�[0m

E               �[0;31mRuntimeError�[0m                              Traceback (most recent call last)

E               Cell �[0;32mIn [32], line 12�[0m

E               �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

E               �[1;32m      7�[0m     os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(�[38;5;124m"�[39m�[38;5;124m/tmp/data/processed_nvt/�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mtrain�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mpart_0.parquet�[39m�[38;5;124m"�[39m),

E               �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

E               �[1;32m      9�[0m     columns�[38;5;241m=�[39m[�[38;5;124m"�[39m�[38;5;124muser_id_raw�[39m�[38;5;124m"�[39m],

E               �[1;32m     10�[0m )

E               �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E               �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E               �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E               �[1;32m     14�[0m �[43m)�[49m

E               �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E               �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:139�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E               �[1;32m    116�[0m �[38;5;124;03m"""Starts up a Triton server instance, loads up the ensemble model,�[39;00m

E               �[1;32m    117�[0m �[38;5;124;03mprepares the inference request and returns the unparsed inference�[39;00m

E               �[1;32m    118�[0m �[38;5;124;03mresponse.�[39;00m

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E

E               File �[0;32m/usr/lib/python3.8/contextlib.py:113�[0m, in �[0;36m_GeneratorContextManager.__enter__�[0;34m(self)�[0m

E               �[1;32m    111�[0m �[38;5;28;01mdel�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39margs, �[38;5;28mself�[39m�[38;5;241m.�[39mkwds, �[38;5;28mself�[39m�[38;5;241m.�[39mfunc

E               �[1;32m    112�[0m �[38;5;28;01mtry�[39;00m:

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E               �[1;32m    114�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mStopIteration�[39;00m:

E               �[1;32m    115�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124m"�[39m�[38;5;124mgenerator didn�[39m�[38;5;124m'�[39m�[38;5;124mt yield�[39m�[38;5;124m"�[39m) �[38;5;28;01mfrom�[39;00m �[38;5;28mNone�[39m

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:82�[0m, in �[0;36mrun_triton_server�[0;34m(model_repository, grpc_host, grpc_port, backend_config)�[0m

E               �[1;32m     80�[0m �[38;5;28;01mif�[39;00m process�[38;5;241m.�[39mpoll() �[38;5;129;01mis�[39;00m �[38;5;129;01mnot�[39;00m �[38;5;28;01mNone�[39;00m:

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E               �[0;32m---> 82�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124mf�[39m�[38;5;124m"�[39m�[38;5;124mTritonserver failed to start (ret=�[39m�[38;5;132;01m{�[39;00mretcode�[38;5;132;01m}�[39;00m�[38;5;124m)�[39m�[38;5;124m"�[39m)

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E

E               �[0;31mRuntimeError�[0m: Tritonserver failed to start (ret=1)

E               RuntimeError: Tritonserver failed to start (ret=1)


../../../.local/lib/python3.8/site-packages/testbook/client.py:135: TestbookRuntimeError

----------------------------- Captured stderr call -----------------------------

2022-12-19 16:39:40.408520: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-19 16:39:44.459541: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 16:39:44.460341: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-19 16:39:44.460972: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-19 16:39:44.461587: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

WARNING clustering 462 points to 32 centroids: please provide at least 1248 training points

2022-12-19 16:41:09.839806: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-19 16:41:13.918626: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 16:41:13.919382: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-19 16:41:13.919996: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-19 16:41:13.920603: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

I1219 16:41:31.943234 9538 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7fc6c6000000' with size 268435456

I1219 16:41:31.943995 9538 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 536870912

I1219 16:41:31.949096 9538 model_lifecycle.cc:459] loading: 0_predicttensorflowtriton:1

I1219 16:41:31.949140 9538 model_lifecycle.cc:459] loading: 2_predicttensorflowtriton:1

I1219 16:41:31.949167 9538 model_lifecycle.cc:459] loading: executor_model:1

I1219 16:41:32.229154 9538 tensorflow.cc:2536] TRITONBACKEND_Initialize: tensorflow

I1219 16:41:32.229192 9538 tensorflow.cc:2546] Triton TRITONBACKEND API version: 1.10

I1219 16:41:32.229199 9538 tensorflow.cc:2552] 'tensorflow' TRITONBACKEND API version: 1.10

I1219 16:41:32.229204 9538 tensorflow.cc:2576] backend configuration:

{"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}}

I1219 16:41:32.229274 9538 tensorflow.cc:2642] TRITONBACKEND_ModelInitialize: 0_predicttensorflowtriton (version 1)

2022-12-19 16:41:32.229898: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-19 16:41:32.234344: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-19 16:41:32.234372: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-19 16:41:32.234457: I tensorflow/core/platform/cpu_feature_guard.cc:194] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE3 SSE4.1 SSE4.2 AVX

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-19 16:41:32.678357: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5680 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 16:41:32.715300: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled

2022-12-19 16:41:32.717310: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-19 16:41:32.770272: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-19 16:41:32.794991: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 565104 microseconds.

I1219 16:41:32.804707 9538 tensorflow.cc:2691] TRITONBACKEND_ModelInstanceInitialize: 0_predicttensorflowtriton (GPU device 0)

2022-12-19 16:41:32.805195: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-19 16:41:32.808615: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-19 16:41:32.808639: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-19 16:41:32.810596: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5680 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 16:41:32.818110: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-19 16:41:32.876312: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-19 16:41:32.900904: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 95711 microseconds.

I1219 16:41:32.901197 9538 model_lifecycle.cc:693] successfully loaded '0_predicttensorflowtriton' version 1

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

I1219 16:41:41.437387 9538 tensorflow.cc:2642] TRITONBACKEND_ModelInitialize: 2_predicttensorflowtriton (version 1)

2022-12-19 16:41:41.438626: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-19 16:41:41.464884: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-19 16:41:41.464936: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-19 16:41:41.467036: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5680 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 16:41:41.496422: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-19 16:41:41.637010: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-19 16:41:41.692038: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 253422 microseconds.

I1219 16:41:41.710106 9538 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: executor_model (GPU device 0)

2022-12-19 16:41:49.327426: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-19 16:41:51.522938: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 16:41:51.530000: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 7.95G (8534360064 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

2022-12-19 16:41:51.533214: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 7.15G (7680923648 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

2022-12-19 16:41:51.534554: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 6.44G (6912830976 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

2022-12-19 16:41:51.535874: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 5.79G (6221547520 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

WARNING:tensorflow:No training configuration found in save file, so the model was not compiled. Compile it manually.

12/19/2022 04:41:53 PM WARNING:No training configuration found in save file, so the model was not compiled. Compile it manually.

/usr/local/lib/python3.8/dist-packages/faiss/loader.py:28: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

if LooseVersion(numpy.version) >= "1.19":

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

other = LooseVersion(other)

12/19/2022 04:41:53 PM INFO:Loading faiss with AVX2 support.

12/19/2022 04:41:53 PM INFO:Could not load library with AVX2 support due to:

ModuleNotFoundError("No module named 'faiss.swigfaiss_avx2'")

12/19/2022 04:41:53 PM INFO:Loading faiss.

12/19/2022 04:41:53 PM INFO:Successfully loaded faiss.

1219 16:42:00.203273 9692 pb_stub.cc:309] Failed to initialize Python stub: RuntimeError: Error in virtual void faiss::gpu::StandardGpuResourcesImpl::initializeForDevice(int) at /project/faiss/faiss/gpu/StandardGpuResources.cpp:283: Error: 'err == cudaSuccess' failed: failed to cudaHostAlloc 268435456 bytes for CPU <-> GPU async copy buffer (error 2 out of memory)


At:

/usr/local/lib/python3.8/dist-packages/faiss/swigfaiss.py(10275): index_cpu_to_gpu

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py(74): load_artifacts

/tmp/examples/poc_ensemble/executor_model/1/model.py(75): initialize


I1219 16:42:01.932799 9538 tensorflow.cc:2691] TRITONBACKEND_ModelInstanceInitialize: 2_predicttensorflowtriton (GPU device 0)

2022-12-19 16:42:01.933672: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

E1219 16:42:01.942521 9538 model_lifecycle.cc:596] failed to load 'executor_model' version 1: Internal: RuntimeError: Error in virtual void faiss::gpu::StandardGpuResourcesImpl::initializeForDevice(int) at /project/faiss/faiss/gpu/StandardGpuResources.cpp:283: Error: 'err == cudaSuccess' failed: failed to cudaHostAlloc 268435456 bytes for CPU <-> GPU async copy buffer (error 2 out of memory)


At:

/usr/local/lib/python3.8/dist-packages/faiss/swigfaiss.py(10275): index_cpu_to_gpu

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py(74): load_artifacts

/tmp/examples/poc_ensemble/executor_model/1/model.py(75): initialize


2022-12-19 16:42:01.949977: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-19 16:42:01.950021: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-19 16:42:01.952111: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5680 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 16:42:01.977116: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-19 16:42:02.128960: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-19 16:42:02.186307: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 252647 microseconds.

I1219 16:42:02.186617 9538 model_lifecycle.cc:693] successfully loaded '2_predicttensorflowtriton' version 1

I1219 16:42:02.186770 9538 server.cc:561]

+------------------+------+

| Repository Agent | Path |

+------------------+------+

+------------------+------+


I1219 16:42:02.186900 9538 server.cc:588]

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Backend    | Path                                                            | Config                                                                                                                                                                      |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| tensorflow | /opt/tritonserver/backends/tensorflow2/libtriton_tensorflow2.so | {"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}} |

| python     | /opt/tritonserver/backends/python/libtriton_python.so           | {"cmdline":{"auto-complete-config":"true","min-compute-capability":"6.000000","backend-directory":"/opt/tritonserver/backends","default-max-batch-size":"4"}}               |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


I1219 16:42:02.187041 9538 server.cc:631]

+---------------------------+---------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Model                     | Version | Status                                                                                                                                                                                                                                                                                                                    |

+---------------------------+---------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| 0_predicttensorflowtriton | 1       | READY                                                                                                                                                                                                                                                                                                                     |

| 2_predicttensorflowtriton | 1       | READY                                                                                                                                                                                                                                                                                                                     |

| executor_model            | 1       | UNAVAILABLE: Internal: RuntimeError: Error in virtual void faiss::gpu::StandardGpuResourcesImpl::initializeForDevice(int) at /project/faiss/faiss/gpu/StandardGpuResources.cpp:283: Error: 'err == cudaSuccess' failed: failed to cudaHostAlloc 268435456 bytes for CPU <-> GPU async copy buffer (error 2 out of memory) |

|                           |         |                                                                                                                                                                                                                                                                                                                           |

|                           |         | At:                                                                                                                                                                                                                                                                                                                       |

|                           |         |   /usr/local/lib/python3.8/dist-packages/faiss/swigfaiss.py(10275): index_cpu_to_gpu                                                                                                                                                                                                                                      |

|                           |         |   /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py(74): load_artifacts                                                                                                                                                                          |

|                           |         |   /tmp/examples/poc_ensemble/executor_model/1/model.py(75): initialize                                                                                                                                                                                                                                                    |

+---------------------------+---------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


I1219 16:42:02.252175 9538 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1219 16:42:02.253040 9538 tritonserver.cc:2214]

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Option                           | Value                                                                                                                                                                                        |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| server_id                        | triton                                                                                                                                                                                       |

| server_version                   | 2.25.0                                                                                                                                                                                       |

| server_extensions                | classification sequence model_repository model_repository(unload_dependents) schedule_policy model_configuration system_shared_memory cuda_shared_memory binary_tensor_data statistics trace |

| model_repository_path[0]         | /tmp/examples/poc_ensemble                                                                                                                                                                   |

| model_control_mode               | MODE_NONE                                                                                                                                                                                    |

| strict_model_config              | 0                                                                                                                                                                                            |

| rate_limit                       | OFF                                                                                                                                                                                          |

| pinned_memory_pool_byte_size     | 268435456                                                                                                                                                                                    |

| cuda_memory_pool_byte_size{0}    | 536870912                                                                                                                                                                                    |

| response_cache_byte_size         | 0                                                                                                                                                                                            |

| min_supported_compute_capability | 6.0                                                                                                                                                                                          |

| strict_readiness                 | 1                                                                                                                                                                                            |

| exit_timeout                     | 30                                                                                                                                                                                           |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


I1219 16:42:02.253054 9538 server.cc:262] Waiting for in-flight requests to complete.

I1219 16:42:02.253089 9538 server.cc:278] Timeout 30: Found 0 model versions that have in-flight inferences

I1219 16:42:02.253170 9538 server.cc:293] All models are stopped, unloading models

I1219 16:42:02.253180 9538 server.cc:300] Timeout 30: Found 2 live models and 0 in-flight non-inference requests

I1219 16:42:02.253316 9538 tensorflow.cc:2729] TRITONBACKEND_ModelInstanceFinalize: delete instance state

I1219 16:42:02.253331 9538 tensorflow.cc:2729] TRITONBACKEND_ModelInstanceFinalize: delete instance state

I1219 16:42:02.253462 9538 tensorflow.cc:2668] TRITONBACKEND_ModelFinalize: delete model state

I1219 16:42:02.253666 9538 tensorflow.cc:2668] TRITONBACKEND_ModelFinalize: delete model state

I1219 16:42:02.267046 9538 model_lifecycle.cc:578] successfully unloaded '0_predicttensorflowtriton' version 1

I1219 16:42:02.276881 9538 model_lifecycle.cc:578] successfully unloaded '2_predicttensorflowtriton' version 1

I1219 16:42:03.253265 9538 server.cc:300] Timeout 29: Found 0 live models and 0 in-flight non-inference requests

error: creating server: Internal - failed to load all models

W1219 16:42:03.274709 9538 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

__________________________________ test_func ___________________________________


self = <testbook.client.TestbookNotebookClient object at 0x7fad73ddae20>

cell = {'cell_type': 'markdown', 'id': 'd1c899fd', 'metadata': {}, 'source': 'We generate the Triton Inference Server artifacts and export them in the export_path directory.'}

kwargs = {}, cell_indexes = [0, 1, 2, 3, 4, 5, ...]

executed_cells = [{'cell_type': 'code', 'execution_count': 2, 'id': '47c9026a', 'metadata': {'execution': {'iopub.status.busy': '2022-1...: 'markdown', 'id': '25a6ac04', 'metadata': {}, 'source': 'We define the path for the saved workflow and model.'}, ...]

idx = 19


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:





          cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)





../../../.local/lib/python3.8/site-packages/testbook/client.py:133:




args = (<testbook.client.TestbookNotebookClient object at 0x7fad73ddae20>, {'cell_type': 'code', 'execution_count': 10, 'id':...ource': 'export_path = os.path.join(input_path, "ensemble")\nens_conf, node_confs = ensemble.export(export_path)'}, 19)

kwargs = {}


def wrapped(*args, **kwargs):





  return just_run(coro(*args, **kwargs))





../../../.local/lib/python3.8/site-packages/nbclient/util.py:84:




coro = <coroutine object NotebookClient.async_execute_cell at 0x7fad73481a40>


def just_run(coro: Awaitable) -> Any:
    """Make the coroutine run, even if there is an event loop running (using nest_asyncio)"""
    # original from vaex/asyncio.py
    loop = asyncio._get_running_loop()
    if loop is None:
        had_running_loop = False
        try:
            loop = asyncio.get_event_loop()
        except RuntimeError:
            # we can still get 'There is no current event loop in ...'
            loop = asyncio.new_event_loop()
            asyncio.set_event_loop(loop)
    else:
        had_running_loop = True
    if had_running_loop:
        # if there is a running loop, we patch using nest_asyncio
        # to have reentrant event loops
        check_ipython()
        import nest_asyncio

        nest_asyncio.apply()
        check_patch_tornado()





  return loop.run_until_complete(coro)





../../../.local/lib/python3.8/site-packages/nbclient/util.py:62:




self = <_UnixSelectorEventLoop running=False closed=False debug=False>

future = <Task finished name='Task-596' coro=<NotebookClient.async_execute_cell() done, defined at /var/jenkins_home/.local/lib...n'\nFileNotFoundError: [Errno 2] No such file or directory: 'ram:/d5df4b94-e359-409b-9f15-6727f115d8e6/.merlin'\n')>


def run_until_complete(self, future):
    """Run until the Future is done.

    If the argument is a coroutine, it is wrapped in a Task.

    WARNING: It would be disastrous to call run_until_complete()
    with the same coroutine twice -- it would wrap it in two
    different Tasks and that can't be good.

    Return the Future's result, or raise its exception.
    """
    self._check_closed()
    self._check_running()

    new_task = not futures.isfuture(future)
    future = tasks.ensure_future(future, loop=self)
    if new_task:
        # An exception is raised if the future didn't complete, so there
        # is no need to log the "destroy pending task" message
        future._log_destroy_pending = False

    future.add_done_callback(_run_until_complete_cb)
    try:
        self.run_forever()
    except:
        if new_task and future.done() and not future.cancelled():
            # The coroutine raised a BaseException. Consume the exception
            # to not log a warning, the caller doesn't have access to the
            # local task.
            future.exception()
        raise
    finally:
        future.remove_done_callback(_run_until_complete_cb)
    if not future.done():
        raise RuntimeError('Event loop stopped before Future completed.')





  return future.result()





/usr/lib/python3.8/asyncio/base_events.py:616:




self = <testbook.client.TestbookNotebookClient object at 0x7fad73ddae20>

cell = {'cell_type': 'code', 'execution_count': 10, 'id': 'e27246ff', 'metadata': {'execution': {'iopub.status.busy': '2022-1...], 'source': 'export_path = os.path.join(input_path, "ensemble")\nens_conf, node_confs = ensemble.export(export_path)'}

cell_index = 19, execution_count = None, store_history = True


async def async_execute_cell(
    self,
    cell: NotebookNode,
    cell_index: int,
    execution_count: t.Optional[int] = None,
    store_history: bool = True,
) -> NotebookNode:
    """
    Executes a single code cell.

    To execute all cells see :meth:`execute`.

    Parameters
    ----------
    cell : nbformat.NotebookNode
        The cell which is currently being processed.
    cell_index : int
        The position of the cell within the notebook object.
    execution_count : int
        The execution count to be assigned to the cell (default: Use kernel response)
    store_history : bool
        Determines if history should be stored in the kernel (default: False).
        Specific to ipython kernels, which can store command histories.

    Returns
    -------
    output : dict
        The execution output payload (or None for no output).

    Raises
    ------
    CellExecutionError
        If execution failed and should raise an exception, this will be raised
        with defaults about the failure.

    Returns
    -------
    cell : NotebookNode
        The cell which was just processed.
    """
    assert self.kc is not None

    await run_hook(self.on_cell_start, cell=cell, cell_index=cell_index)

    if cell.cell_type != 'code' or not cell.source.strip():
        self.log.debug("Skipping non-executing cell %s", cell_index)
        return cell

    if self.skip_cells_with_tag in cell.metadata.get("tags", []):
        self.log.debug("Skipping tagged cell %s", cell_index)
        return cell

    if self.record_timing:  # clear execution metadata prior to execution
        cell['metadata']['execution'] = {}

    self.log.debug("Executing cell:\n%s", cell.source)

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors or "raises-exception" in cell.metadata.get("tags", [])
    )

    await run_hook(self.on_cell_execute, cell=cell, cell_index=cell_index)
    parent_msg_id = await ensure_async(
        self.kc.execute(
            cell.source, store_history=store_history, stop_on_error=not cell_allows_errors
        )
    )
    await run_hook(self.on_cell_complete, cell=cell, cell_index=cell_index)
    # We launched a code cell to execute
    self.code_cells_executed += 1
    exec_timeout = self._get_timeout(cell)

    cell.outputs = []
    self.clear_before_next_output = False

    task_poll_kernel_alive = asyncio.ensure_future(self._async_poll_kernel_alive())
    task_poll_output_msg = asyncio.ensure_future(
        self._async_poll_output_msg(parent_msg_id, cell, cell_index)
    )
    self.task_poll_for_reply = asyncio.ensure_future(
        self._async_poll_for_reply(
            parent_msg_id, cell, exec_timeout, task_poll_output_msg, task_poll_kernel_alive
        )
    )
    try:
        exec_reply = await self.task_poll_for_reply
    except asyncio.CancelledError:
        # can only be cancelled by task_poll_kernel_alive when the kernel is dead
        task_poll_output_msg.cancel()
        raise DeadKernelError("Kernel died")
    except Exception as e:
        # Best effort to cancel request if it hasn't been resolved
        try:
            # Check if the task_poll_output is doing the raising for us
            if not isinstance(e, CellControlSignal):
                task_poll_output_msg.cancel()
        finally:
            raise

    if execution_count:
        cell['execution_count'] = execution_count





  await self._check_raise_for_error(cell, cell_index, exec_reply)





../../../.local/lib/python3.8/site-packages/nbclient/client.py:965:




self = <testbook.client.TestbookNotebookClient object at 0x7fad73ddae20>

cell = {'cell_type': 'code', 'execution_count': 10, 'id': 'e27246ff', 'metadata': {'execution': {'iopub.status.busy': '2022-1...], 'source': 'export_path = os.path.join(input_path, "ensemble")\nens_conf, node_confs = ensemble.export(export_path)'}

cell_index = 19

exec_reply = {'buffers': [], 'content': {'ename': 'FileNotFoundError', 'engine_info': {'engine_id': -1, 'engine_uuid': '86cd1548-70...e, 'engine': '86cd1548-7021-4c51-aed3-c2a4e6249d45', 'started': '2022-12-19T16:43:59.142339Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E           export_path = os.path.join(input_path, "ensemble")

E           ens_conf, node_confs = ensemble.export(export_path)

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mFileNotFoundError�[0m                         Traceback (most recent call last)

E           Cell �[0;32mIn [10], line 2�[0m

E           �[1;32m      1�[0m export_path �[38;5;241m=�[39m os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(input_path, �[38;5;124m"�[39m�[38;5;124mensemble�[39m�[38;5;124m"�[39m)

E           �[0;32m----> 2�[0m ens_conf, node_confs �[38;5;241m=�[39m �[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mexport�[49m�[43m(�[49m�[43mexport_path�[49m�[43m)�[49m

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py:153�[0m, in �[0;36mEnsemble.export�[0;34m(self, export_path, runtime, **kwargs)�[0m

E           �[1;32m    148�[0m �[38;5;124;03m"""�[39;00m

E           �[1;32m    149�[0m �[38;5;124;03mWrite out an ensemble model configuration directory. The exported�[39;00m

E           �[1;32m    150�[0m �[38;5;124;03mensemble is designed for use with Triton Inference Server.�[39;00m

E           �[1;32m    151�[0m �[38;5;124;03m"""�[39;00m

E           �[1;32m    152�[0m runtime �[38;5;241m=�[39m runtime �[38;5;129;01mor�[39;00m TritonExecutorRuntime()

E           �[0;32m--> 153�[0m �[38;5;28;01mreturn�[39;00m �[43mruntime�[49m�[38;5;241;43m.�[39;49m�[43mexport�[49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[43m,�[49m�[43m �[49m�[43mexport_path�[49m�[43m,�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[38;5;241;43m�[39;49m�[43mkwargs�[49m�[43m)�[49m

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py:135�[0m, in �[0;36mTritonExecutorRuntime.export�[0;34m(self, ensemble, path, version, name)�[0m

E           �[1;32m    132�[0m         �[38;5;28;01mif�[39;00m node_config �[38;5;129;01mis�[39;00m �[38;5;129;01mnot�[39;00m �[38;5;28;01mNone�[39;00m:

E           �[1;32m    133�[0m             node_configs�[38;5;241m.�[39mappend(node_config)

E           �[0;32m--> 135�[0m executor_config �[38;5;241m=�[39m �[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43m_executor_model_export�[49m�[43m(�[49m�[43mpath�[49m�[43m,�[49m�[43m �[49m�[43mname�[49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[43m)�[49m

E           �[1;32m    137�[0m �[38;5;28;01mreturn�[39;00m (executor_config, node_configs)

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py:206�[0m, in �[0;36mTritonExecutorRuntime._executor_model_export�[0;34m(self, path, export_name, ensemble, params, node_id, version)�[0m

E           �[1;32m    198�[0m �[38;5;28;01mwith�[39;00m importlib�[38;5;241m.�[39mresources�[38;5;241m.�[39mpath(

E           �[1;32m    199�[0m     �[38;5;124m"�[39m�[38;5;124mmerlin.systems.triton.models�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mexecutor_model.py�[39m�[38;5;124m"�[39m

E           �[1;32m    200�[0m ) �[38;5;28;01mas�[39;00m executor_model:

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E           �[1;32m    203�[0m         os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(node_export_path, �[38;5;28mstr�[39m(version), �[38;5;124m"�[39m�[38;5;124mmodel.py�[39m�[38;5;124m"�[39m),

E           �[1;32m    204�[0m     )

E           �[0;32m--> 206�[0m �[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43msave�[49m�[43m(�[49m�[43mos�[49m�[38;5;241;43m.�[39;49m�[43mpath�[49m�[38;5;241;43m.�[39;49m�[43mjoin�[49m�[43m(�[49m�[43mnode_export_path�[49m�[43m,�[49m�[43m �[49m�[38;5;28;43mstr�[39;49m�[43m(�[49m�[43mversion�[49m�[43m)�[49m�[43m,�[49m�[43m �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m)�[49m�[43m)�[49m

E           �[1;32m    208�[0m �[38;5;28;01mreturn�[39;00m config

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py:107�[0m, in �[0;36mEnsemble.save�[0;34m(self, path)�[0m

E           �[1;32m    105�[0m �[38;5;66;03m# dump out the full workflow (graph/stats/operators etc) using cloudpickle�[39;00m

E           �[1;32m    106�[0m �[38;5;28;01mwith�[39;00m fs�[38;5;241m.�[39mopen(fs�[38;5;241m.�[39msep�[38;5;241m.�[39mjoin([path, �[38;5;124m"�[39m�[38;5;124mensemble.pkl�[39m�[38;5;124m"�[39m]), �[38;5;124m"�[39m�[38;5;124mwb�[39m�[38;5;124m"�[39m) �[38;5;28;01mas�[39;00m o:

E           �[0;32m--> 107�[0m     �[43mcloudpickle�[49m�[38;5;241;43m.�[39;49m�[43mdump�[49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[43m,�[49m�[43m �[49m�[43mo�[49m�[43m)�[49m

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/cloudpickle/cloudpickle_fast.py:55�[0m, in �[0;36mdump�[0;34m(obj, file, protocol, buffer_callback)�[0m

E           �[1;32m     45�[0m �[38;5;28;01mdef�[39;00m �[38;5;21mdump�[39m(obj, file, protocol�[38;5;241m=�[39m�[38;5;28;01mNone�[39;00m, buffer_callback�[38;5;241m=�[39m�[38;5;28;01mNone�[39;00m):

E           �[1;32m     46�[0m     �[38;5;124;03m"""Serialize obj as bytes streamed into file�[39;00m

E           �[1;32m     47�[0m

E           �[1;32m     48�[0m �[38;5;124;03m    protocol defaults to cloudpickle.DEFAULT_PROTOCOL which is an alias to�[39;00m

E           �[0;32m   (...)�[0m

E           �[1;32m     53�[0m �[38;5;124;03m    compatibility with older versions of Python.�[39;00m

E           �[1;32m     54�[0m �[38;5;124;03m    """�[39;00m

E           �[0;32m---> 55�[0m     �[43mCloudPickler�[49m�[43m(�[49m

E           �[1;32m     56�[0m �[43m        �[49m�[43mfile�[49m�[43m,�[49m�[43m �[49m�[43mprotocol�[49m�[38;5;241;43m=�[39;49m�[43mprotocol�[49m�[43m,�[49m�[43m �[49m�[43mbuffer_callback�[49m�[38;5;241;43m=�[39;49m�[43mbuffer_callback�[49m

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E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/cloudpickle/cloudpickle_fast.py:632�[0m, in �[0;36mCloudPickler.dump�[0;34m(self, obj)�[0m

E           �[1;32m    630�[0m �[38;5;28;01mdef�[39;00m �[38;5;21mdump�[39m(�[38;5;28mself�[39m, obj):

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/keras/engine/training.py:324�[0m, in �[0;36mModel.reduce__�[0;34m(self)�[0m

E           �[1;32m    321�[0m �[38;5;28;01mdef�[39;00m �[38;5;21m__reduce__�[39m(�[38;5;28mself�[39m):

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E           �[1;32m    325�[0m   �[38;5;28;01melse�[39;00m:

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E           �[1;32m    331�[0m     �[38;5;66;03m# Thus we call up the superclass hierarchy to get an implementation of�[39;00m

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E

E           File �[0;32m~/.local/lib/python3.8/site-packages/keras/saving/pickle_utils.py:64�[0m, in �[0;36mserialize_model_as_bytecode�[0;34m(model)�[0m

E           �[1;32m     54�[0m �[38;5;124;03m"""Convert a Keras Model into a bytecode representation for pickling.�[39;00m

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E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py:1189�[0m, in �[0;36mModel.save�[0;34m(self, export_path, include_optimizer, save_traces)�[0m

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E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py:36�[0m, in �[0;36msave_merlin_metadata�[0;34m(export_path, model, input_schema, output_schema)�[0m

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E

E           File �[0;32m/usr/lib/python3.8/pathlib.py:1288�[0m, in �[0;36mPath.mkdir�[0;34m(self, mode, parents, exist_ok)�[0m

E           �[1;32m   1286�[0m     �[38;5;28mself�[39m�[38;5;241m.�[39m_raise_closed()

E           �[1;32m   1287�[0m �[38;5;28;01mtry�[39;00m:

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E           �[1;32m   1289�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mFileNotFoundError�[39;00m:

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E

E           �[0;31mFileNotFoundError�[0m: [Errno 2] No such file or directory: 'ram:/d5df4b94-e359-409b-9f15-6727f115d8e6/.merlin'

E           FileNotFoundError: [Errno 2] No such file or directory: 'ram:/d5df4b94-e359-409b-9f15-6727f115d8e6/.merlin'


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError


During handling of the above exception, another exception occurred:


def test_func():
    with testbook(
        REPO_ROOT / "examples" / "scaling-criteo" / "02-ETL-with-NVTabular.ipynb",
        execute=False,
        timeout=180,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["BASE_DIR"] = "/tmp/input/criteo/"
            os.environ["INPUT_DATA_DIR"] = "/tmp/input/criteo/"
            os.environ["OUTPUT_DATA_DIR"] = "/tmp/output/criteo/"
            os.system("mkdir -p /tmp/input/criteo")
            os.system("mkdir -p /tmp/output/criteo")

            from merlin.datasets.synthetic import generate_data

            train, valid = generate_data("criteo", int(100000), set_sizes=(0.7, 0.3))

            train.to_ddf().compute().to_parquet('/tmp/input/criteo/day_0.parquet')
            valid.to_ddf().compute().to_parquet('/tmp/input/criteo/day_1.parquet')
            """
        )
        tb1.execute()
        assert os.path.isfile("/tmp/output/criteo/train/part_0.parquet")
        assert os.path.isfile("/tmp/output/criteo/valid/part_0.parquet")
        assert os.path.isfile("/tmp/output/criteo/workflow/metadata.json")

    with testbook(
        REPO_ROOT
        / "examples"
        / "scaling-criteo"
        / "03-Training-with-Merlin-Models-TensorFlow.ipynb",
        execute=False,
        timeout=180,
    ) as tb2:
        tb2.inject(
            """
            import os
            os.environ["INPUT_DATA_DIR"] = "/tmp/output/criteo/"
            """
        )
        tb2.execute()
        metrics = tb2.ref("eval_metrics")
        assert set(metrics.keys()) == set(
            [
                "auc",
                "binary_accuracy",
                "loss",
                "precision",
                "recall",
                "regularization_loss",
                "loss_batch",
            ]
        )
        assert os.path.isfile("/tmp/output/criteo/dlrm/saved_model.pb")

    with testbook(
        REPO_ROOT
        / "examples"
        / "scaling-criteo"
        / "04-Triton-Inference-with-Merlin-Models-TensorFlow.ipynb",
        execute=False,
        timeout=180,
    ) as tb3:
        tb3.inject(
            """
            import os
            os.environ["BASE_DIR"] = "/tmp/output/criteo/"
            os.environ["INPUT_FOLDER"] = "/tmp/input/criteo/"
            """
        )
        NUM_OF_CELLS = len(tb3.cells)





      tb3.execute_cell(list(range(0, NUM_OF_CELLS - 5)))





tests/unit/examples/test_scaling_criteo_merlin_models.py:83:




self = <testbook.client.TestbookNotebookClient object at 0x7fad73ddae20>

cell = {'cell_type': 'markdown', 'id': 'd1c899fd', 'metadata': {}, 'source': 'We generate the Triton Inference Server artifacts and export them in the export_path directory.'}

kwargs = {}, cell_indexes = [0, 1, 2, 3, 4, 5, ...]

executed_cells = [{'cell_type': 'code', 'execution_count': 2, 'id': '47c9026a', 'metadata': {'execution': {'iopub.status.busy': '2022-1...: 'markdown', 'id': '25a6ac04', 'metadata': {}, 'source': 'We define the path for the saved workflow and model.'}, ...]

idx = 19


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:
            cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)
        except CellExecutionError as ce:





          raise TestbookRuntimeError(ce.evalue, ce, self._get_error_class(ce.ename))





E               testbook.exceptions.TestbookRuntimeError: An error occurred while executing the following cell:

E               ------------------

E               export_path = os.path.join(input_path, "ensemble")

E               ens_conf, node_confs = ensemble.export(export_path)

E               ------------------

E

E               �[0;31m---------------------------------------------------------------------------�[0m

E               �[0;31mFileNotFoundError�[0m                         Traceback (most recent call last)

E               Cell �[0;32mIn [10], line 2�[0m

E               �[1;32m      1�[0m export_path �[38;5;241m=�[39m os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(input_path, �[38;5;124m"�[39m�[38;5;124mensemble�[39m�[38;5;124m"�[39m)

E               �[0;32m----> 2�[0m ens_conf, node_confs �[38;5;241m=�[39m �[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mexport�[49m�[43m(�[49m�[43mexport_path�[49m�[43m)�[49m

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py:153�[0m, in �[0;36mEnsemble.export�[0;34m(self, export_path, runtime, **kwargs)�[0m

E               �[1;32m    148�[0m �[38;5;124;03m"""�[39;00m

E               �[1;32m    149�[0m �[38;5;124;03mWrite out an ensemble model configuration directory. The exported�[39;00m

E               �[1;32m    150�[0m �[38;5;124;03mensemble is designed for use with Triton Inference Server.�[39;00m

E               �[1;32m    151�[0m �[38;5;124;03m"""�[39;00m

E               �[1;32m    152�[0m runtime �[38;5;241m=�[39m runtime �[38;5;129;01mor�[39;00m TritonExecutorRuntime()

E               �[0;32m--> 153�[0m �[38;5;28;01mreturn�[39;00m �[43mruntime�[49m�[38;5;241;43m.�[39;49m�[43mexport�[49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[43m,�[49m�[43m �[49m�[43mexport_path�[49m�[43m,�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[38;5;241;43m�[39;49m�[43mkwargs�[49m�[43m)�[49m

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py:135�[0m, in �[0;36mTritonExecutorRuntime.export�[0;34m(self, ensemble, path, version, name)�[0m

E               �[1;32m    132�[0m         �[38;5;28;01mif�[39;00m node_config �[38;5;129;01mis�[39;00m �[38;5;129;01mnot�[39;00m �[38;5;28;01mNone�[39;00m:

E               �[1;32m    133�[0m             node_configs�[38;5;241m.�[39mappend(node_config)

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E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py:206�[0m, in �[0;36mTritonExecutorRuntime._executor_model_export�[0;34m(self, path, export_name, ensemble, params, node_id, version)�[0m

E               �[1;32m    198�[0m �[38;5;28;01mwith�[39;00m importlib�[38;5;241m.�[39mresources�[38;5;241m.�[39mpath(

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E               File �[0;32m~/.local/lib/python3.8/site-packages/keras/engine/training.py:324�[0m, in �[0;36mModel.reduce__�[0;34m(self)�[0m

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E

E               File �[0;32m/usr/lib/python3.8/pathlib.py:1288�[0m, in �[0;36mPath.mkdir�[0;34m(self, mode, parents, exist_ok)�[0m

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E               �[1;32m   1289�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mFileNotFoundError�[39;00m:

E               �[1;32m   1290�[0m     �[38;5;28;01mif�[39;00m �[38;5;129;01mnot�[39;00m parents �[38;5;129;01mor�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mparent �[38;5;241m==�[39m �[38;5;28mself�[39m:

E

E               �[0;31mFileNotFoundError�[0m: [Errno 2] No such file or directory: 'ram:/d5df4b94-e359-409b-9f15-6727f115d8e6/.merlin'

E               FileNotFoundError: [Errno 2] No such file or directory: 'ram:/d5df4b94-e359-409b-9f15-6727f115d8e6/.merlin'


../../../.local/lib/python3.8/site-packages/testbook/client.py:135: TestbookRuntimeError

----------------------------- Captured stderr call -----------------------------

2022-12-19 16:42:18,044 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-19 16:42:18,058 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-19 16:42:18,087 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-19 16:42:18,195 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

/usr/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 48 leaked semaphore objects to clean up at shutdown

warnings.warn('resource_tracker: There appear to be %d '

2022-12-19 16:42:38.165608: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-19 16:42:42.289892: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-12-19 16:42:42.289996: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 16:42:42.290708: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 1

2022-12-19 16:42:42.290770: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-19 16:42:42.291392: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 2

2022-12-19 16:42:42.291441: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-19 16:42:42.292036: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 3

2022-12-19 16:42:42.292086: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

2022-12-19 16:43:41.598199: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-19 16:43:45.761024: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-12-19 16:43:45.761153: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-19 16:43:45.761888: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 1

2022-12-19 16:43:45.761950: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 14500 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-19 16:43:45.762762: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 2

2022-12-19 16:43:45.762816: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 14500 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-19 16:43:45.763413: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 3

2022-12-19 16:43:45.763464: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 14500 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

=============================== warnings summary ===============================

../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33

/usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

DASK_VERSION = LooseVersion(dask.version)


.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: 34 warnings

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

other = LooseVersion(other)


tests/unit/examples/test_scaling_criteo_optimize_notebook.py::test_optimize_criteo

/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:180: UserWarning: Port 8787 is already in use.

Perhaps you already have a cluster running?

Hosting the HTTP server on port 41145 instead

warnings.warn(


tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/nvtabular/tools/data_gen.py:126: DeprecationWarning: np.long is a deprecated alias for np.compat.long. To silence this warning, use np.compat.long by itself. In the likely event your code does not need to work on Python 2 you can use the builtin int for which np.compat.long is itself an alias. Doing this will not modify any behaviour and is safe. When replacing np.long, you may wish to use e.g. np.int64 or np.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information.

Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

col_size + 1, dtype=np.long, min_val=col.multi_min, max_val=col.multi_max


tests/unit/examples/test_z_legacy_notebooks.py: 12 warnings

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/nvtabular/tools/data_gen.py:140: DeprecationWarning: np.long is a deprecated alias for np.compat.long. To silence this warning, use np.compat.long by itself. In the likely event your code does not need to work on Python 2 you can use the builtin int for which np.compat.long is itself an alias. Doing this will not modify any behaviour and is safe. When replacing np.long, you may wish to use e.g. np.int64 or np.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information.

Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

col_size, dtype=np.long, min_val=col.min_val, max_val=col.cardinality


tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/nvtabular/loader/init.py:19: DeprecationWarning: The nvtabular.loader module has moved to a new repository, at https://github.com/NVIDIA-Merlin/dataloader .  Support for importing from nvtabular.loader is deprecated, and will be removed in a future version. Please update your imports to refer to merlinloader.

warnings.warn(


tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/init.py:23: DeprecationWarning: The merlin.loader package has been moved to merlin.dataloader. Please update your imports, importing from merlin.loader is deprecated and will be removed in a future version

warnings.warn(


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       366    166    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          197     98    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   121     16    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141     26    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    110    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22      1    95%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      2    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/init.py                                   2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/_version.py                                   4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/loader_base.py                              446     98    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/tensorflow.py                               114     38    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/tf_utils.py                                  57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/torch.py                                     66     33    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    102    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  155     61    61%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     11    81%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181     96    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     36    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21      2    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    123    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37      8    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          624    335    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     12    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     11    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190     64    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18      5    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/init.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/tensorflow.py                                     1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/torch.py                                          1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     16    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            15      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                                16      5    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   69      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49      8    84%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                            158    122    23%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     55    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     58    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     175     95    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30      4    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29      7    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     12    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    107    56%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 242    108    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    150    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              182    125    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                106     71    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     19    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280     71    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                64     39    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39      4    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    154    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    131     71    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198     82    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               782    350    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     43    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     44    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      2    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    108    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     22    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     31    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        102     55    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    87     29    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       302    227    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         165     79    52%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/batch_utils.py                          85     12    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     48    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     22    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    141    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31      8    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     90    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     31    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     39    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      4    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306      7    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     33    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       229     56    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82      5    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/init.py                                      6      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/_version.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/init.py                                  4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/dictarray.py                               134     82    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py                                 46      3    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/node.py                                     23      2    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py                                26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/init.py                             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/compat.py                               32      8    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py                                77     15    81%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/feast.py                               118     56    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/fil.py                                 221    125    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/operator.py                             79     32    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/pytorch.py                              43     26    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/session_filter.py                       45     28    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/softmax_sampling.py                     51     21    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/tensorflow.py                           67     17    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/unroll_features.py                      50     21    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/workflow.py                             29      4    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/init.py                         1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/base_runtime.py                    11      2    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/init.py                  1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/init.py              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/fil.py                  95     66    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/operator.py             12      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/pytorch.py              62     37    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/tensorflow.py           53      4    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/workflow.py             47     15    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py                  90      4    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/model_registry.py                               16      8    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/init.py                              49     34    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py                          143    120    16%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/export.py                               268    210    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/models/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py                                 72     26    64%


TOTAL                                                                                                 15421   7098    54%


=========================== short test summary info ============================

SKIPPED [1] tests/unit/examples/test_scaling_criteo_merlin_models_hugectr.py:7: could not import 'hugectr': No module named 'hugectr'

======= 2 failed, 4 passed, 1 skipped, 52 warnings in 427.70s (0:07:07) ========

ERROR: InvocationError for command /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python -m pytest --cov-report term --cov merlin -rxs tests/unit (exited with code 1)

___________________________________ summary ____________________________________

ERROR:   test-gpu: commands failed

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[workspace] $ /bin/bash /tmp/jenkins9483759895862233074.sh

@oliverholworthy
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This error about no such file while trying to save the merlin schema when the model is saved is because keras uses the tf.io in-memory filesystem which I think is a tensorflow io feature (I've not seen ram:// used outside of this context at least) when trying to pickle a model. And to use this RAM filesystem, you can't use regular python file io functionality it seems. We'll need to use tf.io functions to write things into this in-memory filesystem.

This looks like it's been replaced in TF 2.11 by a regular regular temporary directory on disk. However, since we currently aim to support versions back to TF 2.8, will need to handle both cases now.

The reason this has only appeared now? Until recently we weren't testing the ability to pickle a TF Merlin Model. The recent change in systems to use the executor triggered this to be checked now NVIDIA-Merlin/systems#255 since it relies on cloudpickle to save the model artifact.

@oliverholworthy oliverholworthy mentioned this pull request Dec 19, 2022
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@oliverholworthy
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This PR on models NVIDIA-Merlin/models#930 should fix the error we're getting from the notebook test when trying to serialize the model

@jperez999
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rerun tests

@nvidia-merlin-bot
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Click to view CI Results
GitHub pull request #770 of commit 9d6ed0540beb47608af1d13c8dac8342d11293d4, no merge conflicts.
Running as SYSTEM
Setting status of 9d6ed0540beb47608af1d13c8dac8342d11293d4 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/706/ and message: 'Pending'
Using context: Jenkins
Building on the built-in node in workspace /var/jenkins_home/jobs/merlin_merlin/workspace
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/770/*:refs/remotes/origin/pr/770/* # timeout=10
 > git rev-parse 9d6ed0540beb47608af1d13c8dac8342d11293d4^{commit} # timeout=10
Checking out Revision 9d6ed0540beb47608af1d13c8dac8342d11293d4 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 9d6ed0540beb47608af1d13c8dac8342d11293d4 # timeout=10
Commit message: "Pin pyarrow version for integration tests"
 > git rev-list --no-walk 4b000d14ad86113507e68970929a4bdcb7107abf # timeout=10
[workspace] $ /bin/bash /tmp/jenkins9651977495536442326.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.9.0,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.33,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.33,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==7.0.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.5,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.1.0,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.45,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='488607438'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-gr_89xj5
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-gr_89xj5
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit df53c726ce5b90c00e1310cb80570a8622f8f785
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Collecting treelite-runtime==2.4.0
  Downloading treelite_runtime-2.4.0-py3-none-manylinux2014_x86_64.whl (191 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 191.5/191.5 kB 3.5 MB/s eta 0:00:00
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+39.gdf53c72) (2.22.0)
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+39.gdf53c72) (1.1.1)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+39.gdf53c72) (0.3.0+12.g78ecddd)
Collecting treelite==2.4.0
  Downloading treelite-2.4.0-py3-none-manylinux2014_x86_64.whl (852 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 852.7/852.7 kB 16.9 MB/s eta 0:00:00
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from treelite==2.4.0->merlin-systems==0.7.0+39.gdf53c72) (1.8.1)
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+39.gdf53c72) (1.20.3)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (21.3)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (7.0.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.10.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2022.3.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (3.19.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.2.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (0.55.1)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (4.64.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.3.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2022.5.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (5.4.1)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (3.1.2)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2.4.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (8.1.3)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.7.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (5.8.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (6.1)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2.0.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.0.4)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 34.5/34.5 MB 48.7 MB/s eta 0:00:00
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (65.6.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2.8.2)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (6.0.1)
Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+39.gdf53c72-py3-none-any.whl size=100698 sha256=7be371c3a10cd206f130a77eb5cf620c602af1b172910a6aab4904a79ffb03da
  Stored in directory: /tmp/pip-ephem-wheel-cache-p1mgqrpk/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, treelite-runtime, treelite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: treelite-runtime
    Found existing installation: treelite-runtime 2.3.0
    Not uninstalling treelite-runtime at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite-runtime'. No files were found to uninstall.
  Attempting uninstall: treelite
    Found existing installation: treelite 2.3.0
    Not uninstalling treelite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+39.gdf53c72 treelite-2.4.0 treelite-runtime-2.4.0
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-wqy6pv_o
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-wqy6pv_o
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit 130c103be37a1817dd044110a5629baf28c841f1
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+72.g130c103b) (0.3.0+12.g78ecddd)
Collecting merlin-dataloader>=0.0.2
  Downloading merlin-dataloader-0.0.3.tar.gz (48 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.3/48.3 kB 1.7 MB/s eta 0:00:00
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (21.3)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (7.0.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.10.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2022.3.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (3.19.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.2.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (0.55.1)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (4.64.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.3.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2022.5.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (5.4.1)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (3.1.2)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2.4.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (8.1.3)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.7.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (5.8.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (6.1)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2.0.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.0.4)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (0.38.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.20.3)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (65.6.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2.8.2)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (6.0.1)
Building wheels for collected packages: merlin-models, merlin-dataloader
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+72.g130c103b-py3-none-any.whl size=357462 sha256=5366f404b5f18841bb6b14ddfe28ec42c37cd740b0c0b9aea73a6b4bf69d5f61
  Stored in directory: /tmp/pip-ephem-wheel-cache-fvfw_lqw/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.3-py3-none-any.whl size=37647 sha256=5e9da5df10dea8912ccfd9819310abfed0134ff45e1315ecaba04dff952ca16c
  Stored in directory: /tmp/pip-ephem-wheel-cache-fvfw_lqw/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built merlin-models merlin-dataloader
Installing collected packages: merlin-dataloader, merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-dataloader-0.0.3 merlin-models-0.9.0+72.g130c103b
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-zvaiqu5e
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-zvaiqu5e
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit 985510ef0f529aa54a8ac29414d3ed71542c4c62
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+22.g985510ef) (0.3.0+12.g78ecddd)
Requirement already satisfied: merlin-dataloader>=0.0.2 in ./.tox/test-gpu/lib/python3.8/site-packages (from nvtabular==1.6.0+22.g985510ef) (0.0.3)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+22.g985510ef) (1.8.1)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (21.3)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (7.0.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.10.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.3.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (3.19.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.55.1)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (4.64.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.3.5)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+22.g985510ef) (1.20.3)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.5.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (5.4.1)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (3.1.2)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.4.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (8.1.3)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.7.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (5.8.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (6.1)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.0.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.0.4)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.38.1)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (65.6.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.8.2)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (6.0.1)
Building wheels for collected packages: nvtabular
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+22.g985510ef-cp38-cp38-linux_x86_64.whl size=257120 sha256=85fe4003a2a960dba61d4021176ca9e611f6676398fe93073d7f31c1439e7162
  Stored in directory: /tmp/pip-ephem-wheel-cache-o3lmvwhi/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
Successfully built nvtabular
Installing collected packages: nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed nvtabular-1.6.0+22.g985510ef
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-f_y2295f
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-f_y2295f
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 73c2afc277967015e2f334b8c57a9e8789fa19bd
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (21.3)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (7.0.0)
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Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (6.1)
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Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+19.g73c2afc) (1.20.3)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+19.g73c2afc) (65.6.3)
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Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (2022.2.1)
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Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (1.2.0)
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Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (6.0.2)
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Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (6.0.1)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+19.g73c2afc-py3-none-any.whl size=119766 sha256=3dc8f90a197b7cf78d1c9f17b4e34c0087a6cfd02fa116a3b31c2b8c8fc02447
  Stored in directory: /tmp/pip-ephem-wheel-cache-lx2k_91h/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.9.0+19.g73c2afc
test-gpu run-test: commands[4] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/dataloader.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/dataloader.git
  Cloning https://github.com/NVIDIA-Merlin/dataloader.git to /tmp/pip-req-build-bz9unjhz
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/dataloader.git /tmp/pip-req-build-bz9unjhz
  Resolved https://github.com/NVIDIA-Merlin/dataloader.git to commit d4e6c1bd9eaaaaca87b336a5da835cb5e0bc5df3
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.8.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from merlin-dataloader==0.0.2+28.gd4e6c1b) (0.9.0+19.g73c2afc)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (21.3)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (7.0.0)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2022.3.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.10.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (3.19.5)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2022.5.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.2.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (0.55.1)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (4.64.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.3.5)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2022.3.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (5.4.1)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (3.1.2)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2.4.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (8.1.3)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.7.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (5.8.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (6.1)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2.0.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.0.4)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (0.38.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.20.3)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (65.6.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2.8.2)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (6.0.1)
Building wheels for collected packages: merlin-dataloader
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.2+28.gd4e6c1b-py3-none-any.whl size=41443 sha256=3733a7dfaa4ad66601c7f0fbe447e7dc45352e1cfd2307eae4fc3784dca482cc
  Stored in directory: /tmp/pip-ephem-wheel-cache-c8mef0k0/wheels/de/f5/d9/251909f4627d2920fb15548f5ffd6daf1bf24c3c56bb4977b1
Successfully built merlin-dataloader
Installing collected packages: merlin-dataloader
  Attempting uninstall: merlin-dataloader
    Found existing installation: merlin-dataloader 0.0.3
    Uninstalling merlin-dataloader-0.0.3:
      Successfully uninstalled merlin-dataloader-0.0.3
Successfully installed merlin-dataloader-0.0.2+28.gd4e6c1b
test-gpu run-test: commands[5] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, cov-4.0.0, xdist-3.1.0
collected 6 items / 1 skipped

tests/unit/test_version.py .                                             [ 16%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py F      [ 33%]

tests/unit/examples/test_scaling_criteo_merlin_models.py F               [ 50%]

tests/unit/examples/test_scaling_criteo_optimize_notebook.py .           [ 66%]

tests/unit/examples/test_z_legacy_notebooks.py ..                        [100%]


=================================== FAILURES ===================================

__________________________________ test_func ___________________________________


self = <testbook.client.TestbookNotebookClient object at 0x7fe613686f10>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:





          cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)





../../../.local/lib/python3.8/site-packages/testbook/client.py:133:




args = (<testbook.client.TestbookNotebookClient object at 0x7fe613686f10>, {'id': 'f2fc8ffb', 'cell_type': 'code', 'metadata'...[38;5;241m.\x1b[39mis_server_ready()\n', '\x1b[0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)']}]}, 55)

kwargs = {}


def wrapped(*args, **kwargs):





  return just_run(coro(*args, **kwargs))





../../../.local/lib/python3.8/site-packages/nbclient/util.py:84:




coro = <coroutine object NotebookClient.async_execute_cell at 0x7fe612ccf240>


def just_run(coro: Awaitable) -> Any:
    """Make the coroutine run, even if there is an event loop running (using nest_asyncio)"""
    # original from vaex/asyncio.py
    loop = asyncio._get_running_loop()
    if loop is None:
        had_running_loop = False
        try:
            loop = asyncio.get_event_loop()
        except RuntimeError:
            # we can still get 'There is no current event loop in ...'
            loop = asyncio.new_event_loop()
            asyncio.set_event_loop(loop)
    else:
        had_running_loop = True
    if had_running_loop:
        # if there is a running loop, we patch using nest_asyncio
        # to have reentrant event loops
        check_ipython()
        import nest_asyncio

        nest_asyncio.apply()
        check_patch_tornado()





  return loop.run_until_complete(coro)





../../../.local/lib/python3.8/site-packages/nbclient/util.py:62:




self = <_UnixSelectorEventLoop running=False closed=False debug=False>

future = <Task finished name='Task-377' coro=<NotebookClient.async_execute_cell() done, defined at /var/jenkins_home/.local/lib...0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)\nRuntimeError: Tritonserver failed to start (ret=1)\n')>


def run_until_complete(self, future):
    """Run until the Future is done.

    If the argument is a coroutine, it is wrapped in a Task.

    WARNING: It would be disastrous to call run_until_complete()
    with the same coroutine twice -- it would wrap it in two
    different Tasks and that can't be good.

    Return the Future's result, or raise its exception.
    """
    self._check_closed()
    self._check_running()

    new_task = not futures.isfuture(future)
    future = tasks.ensure_future(future, loop=self)
    if new_task:
        # An exception is raised if the future didn't complete, so there
        # is no need to log the "destroy pending task" message
        future._log_destroy_pending = False

    future.add_done_callback(_run_until_complete_cb)
    try:
        self.run_forever()
    except:
        if new_task and future.done() and not future.cancelled():
            # The coroutine raised a BaseException. Consume the exception
            # to not log a warning, the caller doesn't have access to the
            # local task.
            future.exception()
        raise
    finally:
        future.remove_done_callback(_run_until_complete_cb)
    if not future.done():
        raise RuntimeError('Event loop stopped before Future completed.')





  return future.result()





/usr/lib/python3.8/asyncio/base_events.py:616:




self = <testbook.client.TestbookNotebookClient object at 0x7fe613686f10>

cell = {'id': 'f2fc8ffb', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-20T18:40:58.405160Z',...t\x1b[38;5;241m.\x1b[39mis_server_ready()\n', '\x1b[0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)']}]}

cell_index = 55, execution_count = None, store_history = True


async def async_execute_cell(
    self,
    cell: NotebookNode,
    cell_index: int,
    execution_count: t.Optional[int] = None,
    store_history: bool = True,
) -> NotebookNode:
    """
    Executes a single code cell.

    To execute all cells see :meth:`execute`.

    Parameters
    ----------
    cell : nbformat.NotebookNode
        The cell which is currently being processed.
    cell_index : int
        The position of the cell within the notebook object.
    execution_count : int
        The execution count to be assigned to the cell (default: Use kernel response)
    store_history : bool
        Determines if history should be stored in the kernel (default: False).
        Specific to ipython kernels, which can store command histories.

    Returns
    -------
    output : dict
        The execution output payload (or None for no output).

    Raises
    ------
    CellExecutionError
        If execution failed and should raise an exception, this will be raised
        with defaults about the failure.

    Returns
    -------
    cell : NotebookNode
        The cell which was just processed.
    """
    assert self.kc is not None

    await run_hook(self.on_cell_start, cell=cell, cell_index=cell_index)

    if cell.cell_type != 'code' or not cell.source.strip():
        self.log.debug("Skipping non-executing cell %s", cell_index)
        return cell

    if self.skip_cells_with_tag in cell.metadata.get("tags", []):
        self.log.debug("Skipping tagged cell %s", cell_index)
        return cell

    if self.record_timing:  # clear execution metadata prior to execution
        cell['metadata']['execution'] = {}

    self.log.debug("Executing cell:\n%s", cell.source)

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors or "raises-exception" in cell.metadata.get("tags", [])
    )

    await run_hook(self.on_cell_execute, cell=cell, cell_index=cell_index)
    parent_msg_id = await ensure_async(
        self.kc.execute(
            cell.source, store_history=store_history, stop_on_error=not cell_allows_errors
        )
    )
    await run_hook(self.on_cell_complete, cell=cell, cell_index=cell_index)
    # We launched a code cell to execute
    self.code_cells_executed += 1
    exec_timeout = self._get_timeout(cell)

    cell.outputs = []
    self.clear_before_next_output = False

    task_poll_kernel_alive = asyncio.ensure_future(self._async_poll_kernel_alive())
    task_poll_output_msg = asyncio.ensure_future(
        self._async_poll_output_msg(parent_msg_id, cell, cell_index)
    )
    self.task_poll_for_reply = asyncio.ensure_future(
        self._async_poll_for_reply(
            parent_msg_id, cell, exec_timeout, task_poll_output_msg, task_poll_kernel_alive
        )
    )
    try:
        exec_reply = await self.task_poll_for_reply
    except asyncio.CancelledError:
        # can only be cancelled by task_poll_kernel_alive when the kernel is dead
        task_poll_output_msg.cancel()
        raise DeadKernelError("Kernel died")
    except Exception as e:
        # Best effort to cancel request if it hasn't been resolved
        try:
            # Check if the task_poll_output is doing the raising for us
            if not isinstance(e, CellControlSignal):
                task_poll_output_msg.cancel()
        finally:
            raise

    if execution_count:
        cell['execution_count'] = execution_count





  await self._check_raise_for_error(cell, cell_index, exec_reply)





../../../.local/lib/python3.8/site-packages/nbclient/client.py:965:




self = <testbook.client.TestbookNotebookClient object at 0x7fe613686f10>

cell = {'id': 'f2fc8ffb', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-20T18:40:58.405160Z',...t\x1b[38;5;241m.\x1b[39mis_server_ready()\n', '\x1b[0;31mRuntimeError\x1b[0m: Tritonserver failed to start (ret=1)']}]}

cell_index = 55

exec_reply = {'buffers': [], 'content': {'ename': 'RuntimeError', 'engine_info': {'engine_id': -1, 'engine_uuid': 'c259932f-af8a-4f...e, 'engine': 'c259932f-af8a-4f36-982a-6c183d176d4f', 'started': '2022-12-20T18:40:58.405557Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E

E           import shutil

E           from merlin.core.dispatch import get_lib

E           from merlin.dataloader.tf_utils import configure_tensorflow

E           configure_tensorflow()

E           df_lib = get_lib()

E           batch = df_lib.read_parquet(

E               os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E               num_rows=1,

E               columns=["user_id_raw"],

E           )

E           from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E           response = run_ensemble_on_tritonserver(

E               "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"

E           )

E           response = [x.tolist()[0] for x in response["ordered_ids"]]

E           shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mRuntimeError�[0m                              Traceback (most recent call last)

E           Cell �[0;32mIn [32], line 12�[0m

E           �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

E           �[1;32m      7�[0m     os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(�[38;5;124m"�[39m�[38;5;124m/tmp/data/processed_nvt/�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mtrain�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mpart_0.parquet�[39m�[38;5;124m"�[39m),

E           �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

E           �[1;32m      9�[0m     columns�[38;5;241m=�[39m[�[38;5;124m"�[39m�[38;5;124muser_id_raw�[39m�[38;5;124m"�[39m],

E           �[1;32m     10�[0m )

E           �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E           �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E           �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E           �[1;32m     14�[0m �[43m)�[49m

E           �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E           �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:139�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E           �[1;32m    116�[0m �[38;5;124;03m"""Starts up a Triton server instance, loads up the ensemble model,�[39;00m

E           �[1;32m    117�[0m �[38;5;124;03mprepares the inference request and returns the unparsed inference�[39;00m

E           �[1;32m    118�[0m �[38;5;124;03mresponse.�[39;00m

E           �[0;32m   (...)�[0m

E           �[1;32m    136�[0m �[38;5;124;03m    the results of the prediction, parsed by output column name.�[39;00m

E           �[1;32m    137�[0m �[38;5;124;03m"""�[39;00m

E           �[1;32m    138�[0m response �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E           �[0;32m--> 139�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

E           �[1;32m    140�[0m     response �[38;5;241m=�[39m send_triton_request(

E           �[1;32m    141�[0m         schema, df, output_columns, client�[38;5;241m=�[39mclient, triton_model�[38;5;241m=�[39mmodel_name

E           �[1;32m    142�[0m     )

E           �[1;32m    144�[0m �[38;5;28;01mreturn�[39;00m response

E

E           File �[0;32m/usr/lib/python3.8/contextlib.py:113�[0m, in �[0;36m_GeneratorContextManager.__enter__�[0;34m(self)�[0m

E           �[1;32m    111�[0m �[38;5;28;01mdel�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39margs, �[38;5;28mself�[39m�[38;5;241m.�[39mkwds, �[38;5;28mself�[39m�[38;5;241m.�[39mfunc

E           �[1;32m    112�[0m �[38;5;28;01mtry�[39;00m:

E           �[0;32m--> 113�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28;43mnext�[39;49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mgen�[49m�[43m)�[49m

E           �[1;32m    114�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mStopIteration�[39;00m:

E           �[1;32m    115�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124m"�[39m�[38;5;124mgenerator didn�[39m�[38;5;124m'�[39m�[38;5;124mt yield�[39m�[38;5;124m"�[39m) �[38;5;28;01mfrom�[39;00m �[38;5;28mNone�[39m

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:82�[0m, in �[0;36mrun_triton_server�[0;34m(model_repository, grpc_host, grpc_port, backend_config)�[0m

E           �[1;32m     80�[0m �[38;5;28;01mif�[39;00m process�[38;5;241m.�[39mpoll() �[38;5;129;01mis�[39;00m �[38;5;129;01mnot�[39;00m �[38;5;28;01mNone�[39;00m:

E           �[1;32m     81�[0m     retcode �[38;5;241m=�[39m process�[38;5;241m.�[39mreturncode

E           �[0;32m---> 82�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124mf�[39m�[38;5;124m"�[39m�[38;5;124mTritonserver failed to start (ret=�[39m�[38;5;132;01m{�[39;00mretcode�[38;5;132;01m}�[39;00m�[38;5;124m)�[39m�[38;5;124m"�[39m)

E           �[1;32m     84�[0m �[38;5;28;01mtry�[39;00m:

E           �[1;32m     85�[0m     ready �[38;5;241m=�[39m client�[38;5;241m.�[39mis_server_ready()

E

E           �[0;31mRuntimeError�[0m: Tritonserver failed to start (ret=1)

E           RuntimeError: Tritonserver failed to start (ret=1)


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError


During handling of the above exception, another exception occurred:


def test_func():
    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "01-Building-Recommender-Systems-with-Merlin.ipynb",
        execute=False,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["NUM_ROWS"] = "100000"
            os.system("mkdir -p /tmp/examples")
            os.environ["BASE_DIR"] = "/tmp/examples/"
            """
        )
        tb1.execute()
        assert os.path.isdir("/tmp/examples/dlrm")
        assert os.path.isdir("/tmp/examples/feature_repo")
        assert os.path.isdir("/tmp/examples/query_tower")
        assert os.path.isfile("/tmp/examples/item_embeddings.parquet")
        assert os.path.isfile("/tmp/examples/feature_repo/user_features.py")
        assert os.path.isfile("/tmp/examples/feature_repo/item_features.py")

    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "02-Deploying-multi-stage-RecSys-with-Merlin-Systems.ipynb",
        execute=False,
        timeout=180,
    ) as tb2:
        tb2.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["BASE_DIR"] = "/tmp/examples/"
            os.environ["topk_retrieval"] = "20"
            """
        )
        NUM_OF_CELLS = len(tb2.cells)
        tb2.execute_cell(list(range(0, NUM_OF_CELLS - 3)))
        top_k = tb2.ref("top_k")
        outputs = tb2.ref("outputs")
        assert outputs[0] == "ordered_ids"





      tb2.inject(





            """
            import shutil
            from merlin.core.dispatch import get_lib
            from merlin.dataloader.tf_utils import configure_tensorflow
            configure_tensorflow()
            df_lib = get_lib()
            batch = df_lib.read_parquet(
                os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),
                num_rows=1,
                columns=["user_id_raw"],
            )
            from merlin.systems.triton.utils import run_ensemble_on_tritonserver
            response = run_ensemble_on_tritonserver(
                "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"
            )
            response = [x.tolist()[0] for x in response["ordered_ids"]]
            shutil.rmtree("/tmp/examples/", ignore_errors=True)
            """
        )



tests/unit/examples/test_building_deploying_multi_stage_RecSys.py:61:




../../../.local/lib/python3.8/site-packages/testbook/client.py:237: in inject

cell = TestbookNode(self.execute_cell(inject_idx)) if run else TestbookNode(code_cell)




self = <testbook.client.TestbookNotebookClient object at 0x7fe613686f10>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:
            cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)
        except CellExecutionError as ce:





          raise TestbookRuntimeError(ce.evalue, ce, self._get_error_class(ce.ename))





E               testbook.exceptions.TestbookRuntimeError: An error occurred while executing the following cell:

E               ------------------

E

E               import shutil

E               from merlin.core.dispatch import get_lib

E               from merlin.dataloader.tf_utils import configure_tensorflow

E               configure_tensorflow()

E               df_lib = get_lib()

E               batch = df_lib.read_parquet(

E                   os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E                   num_rows=1,

E                   columns=["user_id_raw"],

E               )

E               from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E               response = run_ensemble_on_tritonserver(

E                   "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "ensemble_model"

E               )

E               response = [x.tolist()[0] for x in response["ordered_ids"]]

E               shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E               ------------------

E

E               �[0;31m---------------------------------------------------------------------------�[0m

E               �[0;31mRuntimeError�[0m                              Traceback (most recent call last)

E               Cell �[0;32mIn [32], line 12�[0m

E               �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

E               �[1;32m      7�[0m     os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(�[38;5;124m"�[39m�[38;5;124m/tmp/data/processed_nvt/�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mtrain�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mpart_0.parquet�[39m�[38;5;124m"�[39m),

E               �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

E               �[1;32m      9�[0m     columns�[38;5;241m=�[39m[�[38;5;124m"�[39m�[38;5;124muser_id_raw�[39m�[38;5;124m"�[39m],

E               �[1;32m     10�[0m )

E               �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E               �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E               �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E               �[1;32m     14�[0m �[43m)�[49m

E               �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E               �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:139�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E               �[1;32m    116�[0m �[38;5;124;03m"""Starts up a Triton server instance, loads up the ensemble model,�[39;00m

E               �[1;32m    117�[0m �[38;5;124;03mprepares the inference request and returns the unparsed inference�[39;00m

E               �[1;32m    118�[0m �[38;5;124;03mresponse.�[39;00m

E               �[0;32m   (...)�[0m

E               �[1;32m    136�[0m �[38;5;124;03m    the results of the prediction, parsed by output column name.�[39;00m

E               �[1;32m    137�[0m �[38;5;124;03m"""�[39;00m

E               �[1;32m    138�[0m response �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E               �[0;32m--> 139�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

E               �[1;32m    140�[0m     response �[38;5;241m=�[39m send_triton_request(

E               �[1;32m    141�[0m         schema, df, output_columns, client�[38;5;241m=�[39mclient, triton_model�[38;5;241m=�[39mmodel_name

E               �[1;32m    142�[0m     )

E               �[1;32m    144�[0m �[38;5;28;01mreturn�[39;00m response

E

E               File �[0;32m/usr/lib/python3.8/contextlib.py:113�[0m, in �[0;36m_GeneratorContextManager.__enter__�[0;34m(self)�[0m

E               �[1;32m    111�[0m �[38;5;28;01mdel�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39margs, �[38;5;28mself�[39m�[38;5;241m.�[39mkwds, �[38;5;28mself�[39m�[38;5;241m.�[39mfunc

E               �[1;32m    112�[0m �[38;5;28;01mtry�[39;00m:

E               �[0;32m--> 113�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28;43mnext�[39;49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mgen�[49m�[43m)�[49m

E               �[1;32m    114�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mStopIteration�[39;00m:

E               �[1;32m    115�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124m"�[39m�[38;5;124mgenerator didn�[39m�[38;5;124m'�[39m�[38;5;124mt yield�[39m�[38;5;124m"�[39m) �[38;5;28;01mfrom�[39;00m �[38;5;28mNone�[39m

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:82�[0m, in �[0;36mrun_triton_server�[0;34m(model_repository, grpc_host, grpc_port, backend_config)�[0m

E               �[1;32m     80�[0m �[38;5;28;01mif�[39;00m process�[38;5;241m.�[39mpoll() �[38;5;129;01mis�[39;00m �[38;5;129;01mnot�[39;00m �[38;5;28;01mNone�[39;00m:

E               �[1;32m     81�[0m     retcode �[38;5;241m=�[39m process�[38;5;241m.�[39mreturncode

E               �[0;32m---> 82�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124mf�[39m�[38;5;124m"�[39m�[38;5;124mTritonserver failed to start (ret=�[39m�[38;5;132;01m{�[39;00mretcode�[38;5;132;01m}�[39;00m�[38;5;124m)�[39m�[38;5;124m"�[39m)

E               �[1;32m     84�[0m �[38;5;28;01mtry�[39;00m:

E               �[1;32m     85�[0m     ready �[38;5;241m=�[39m client�[38;5;241m.�[39mis_server_ready()

E

E               �[0;31mRuntimeError�[0m: Tritonserver failed to start (ret=1)

E               RuntimeError: Tritonserver failed to start (ret=1)


../../../.local/lib/python3.8/site-packages/testbook/client.py:135: TestbookRuntimeError

----------------------------- Captured stderr call -----------------------------

2022-12-20 18:39:06.758050: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-20 18:39:10.797254: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-20 18:39:10.798052: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-20 18:39:10.798680: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-20 18:39:10.799243: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

WARNING clustering 428 points to 32 centroids: please provide at least 1248 training points

2022-12-20 18:40:36.886246: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-20 18:40:40.884300: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-20 18:40:40.885083: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-20 18:40:40.885669: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-20 18:40:40.886276: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

I1220 18:40:58.752785 11872 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7fa70e000000' with size 268435456

I1220 18:40:58.753527 11872 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 536870912

I1220 18:40:58.758965 11872 model_lifecycle.cc:459] loading: executor_model:1

I1220 18:40:58.759009 11872 model_lifecycle.cc:459] loading: 0_predicttensorflowtriton:1

I1220 18:40:58.759043 11872 model_lifecycle.cc:459] loading: 2_predicttensorflowtriton:1

I1220 18:40:59.030834 11872 tensorflow.cc:2536] TRITONBACKEND_Initialize: tensorflow

I1220 18:40:59.030877 11872 tensorflow.cc:2546] Triton TRITONBACKEND API version: 1.10

I1220 18:40:59.030884 11872 tensorflow.cc:2552] 'tensorflow' TRITONBACKEND API version: 1.10

I1220 18:40:59.030890 11872 tensorflow.cc:2576] backend configuration:

{"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}}

I1220 18:40:59.030959 11872 tensorflow.cc:2642] TRITONBACKEND_ModelInitialize: 0_predicttensorflowtriton (version 1)

2022-12-20 18:40:59.031594: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:40:59.036000: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-20 18:40:59.036037: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:40:59.036125: I tensorflow/core/platform/cpu_feature_guard.cc:194] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE3 SSE4.1 SSE4.2 AVX

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-20 18:40:59.435475: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5680 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-20 18:40:59.463745: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled

2022-12-20 18:40:59.465752: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-20 18:40:59.518727: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:40:59.547057: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 515473 microseconds.

I1220 18:40:59.557561 11872 tensorflow.cc:2691] TRITONBACKEND_ModelInstanceInitialize: 0_predicttensorflowtriton (GPU device 0)

2022-12-20 18:40:59.558126: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:40:59.561443: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-20 18:40:59.561467: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:40:59.563372: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5680 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-20 18:40:59.570813: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-20 18:40:59.630165: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/0_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:40:59.657623: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 99501 microseconds.

I1220 18:40:59.657931 11872 model_lifecycle.cc:693] successfully loaded '0_predicttensorflowtriton' version 1

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

I1220 18:41:08.486660 11872 tensorflow.cc:2642] TRITONBACKEND_ModelInitialize: 2_predicttensorflowtriton (version 1)

2022-12-20 18:41:08.487849: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:41:08.506254: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-20 18:41:08.506302: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:41:08.508378: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5680 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-20 18:41:08.538599: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-20 18:41:08.678715: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:41:08.732805: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 244966 microseconds.

I1220 18:41:08.750542 11872 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: executor_model (GPU device 0)

2022-12-20 18:41:16.358665: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-20 18:41:18.540974: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-20 18:41:18.547983: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 7.95G (8534360064 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

2022-12-20 18:41:18.551171: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 7.15G (7680923648 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

2022-12-20 18:41:18.554591: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 6.44G (6912830976 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

2022-12-20 18:41:18.557156: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 5.79G (6221547520 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

WARNING:tensorflow:No training configuration found in save file, so the model was not compiled. Compile it manually.

12/20/2022 06:41:20 PM WARNING:No training configuration found in save file, so the model was not compiled. Compile it manually.

/usr/local/lib/python3.8/dist-packages/faiss/loader.py:28: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

if LooseVersion(numpy.version) >= "1.19":

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

other = LooseVersion(other)

12/20/2022 06:41:20 PM INFO:Loading faiss with AVX2 support.

12/20/2022 06:41:20 PM INFO:Could not load library with AVX2 support due to:

ModuleNotFoundError("No module named 'faiss.swigfaiss_avx2'")

12/20/2022 06:41:20 PM INFO:Loading faiss.

12/20/2022 06:41:20 PM INFO:Successfully loaded faiss.

1220 18:41:27.311880 11989 pb_stub.cc:309] Failed to initialize Python stub: RuntimeError: Error in virtual void faiss::gpu::StandardGpuResourcesImpl::initializeForDevice(int) at /project/faiss/faiss/gpu/StandardGpuResources.cpp:283: Error: 'err == cudaSuccess' failed: failed to cudaHostAlloc 268435456 bytes for CPU <-> GPU async copy buffer (error 2 out of memory)


At:

/usr/local/lib/python3.8/dist-packages/faiss/swigfaiss.py(10275): index_cpu_to_gpu

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py(74): load_artifacts

/tmp/examples/poc_ensemble/executor_model/1/model.py(75): initialize


I1220 18:41:28.930294 11872 tensorflow.cc:2691] TRITONBACKEND_ModelInstanceInitialize: 2_predicttensorflowtriton (GPU device 0)

2022-12-20 18:41:28.931172: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

E1220 18:41:28.940698 11872 model_lifecycle.cc:596] failed to load 'executor_model' version 1: Internal: RuntimeError: Error in virtual void faiss::gpu::StandardGpuResourcesImpl::initializeForDevice(int) at /project/faiss/faiss/gpu/StandardGpuResources.cpp:283: Error: 'err == cudaSuccess' failed: failed to cudaHostAlloc 268435456 bytes for CPU <-> GPU async copy buffer (error 2 out of memory)


At:

/usr/local/lib/python3.8/dist-packages/faiss/swigfaiss.py(10275): index_cpu_to_gpu

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py(74): load_artifacts

/tmp/examples/poc_ensemble/executor_model/1/model.py(75): initialize


2022-12-20 18:41:28.947128: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-20 18:41:28.947175: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:41:28.949430: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5680 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-20 18:41:28.973960: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-20 18:41:29.126936: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/examples/poc_ensemble/2_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:41:29.187102: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 255944 microseconds.

I1220 18:41:29.187402 11872 model_lifecycle.cc:693] successfully loaded '2_predicttensorflowtriton' version 1

I1220 18:41:29.187513 11872 server.cc:561]

+------------------+------+

| Repository Agent | Path |

+------------------+------+

+------------------+------+


I1220 18:41:29.187630 11872 server.cc:588]

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Backend    | Path                                                            | Config                                                                                                                                                                      |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| tensorflow | /opt/tritonserver/backends/tensorflow2/libtriton_tensorflow2.so | {"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}} |

| python     | /opt/tritonserver/backends/python/libtriton_python.so           | {"cmdline":{"auto-complete-config":"true","min-compute-capability":"6.000000","backend-directory":"/opt/tritonserver/backends","default-max-batch-size":"4"}}               |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


I1220 18:41:29.187775 11872 server.cc:631]

+---------------------------+---------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Model                     | Version | Status                                                                                                                                                                                                                                                                                                                    |

+---------------------------+---------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| 0_predicttensorflowtriton | 1       | READY                                                                                                                                                                                                                                                                                                                     |

| 2_predicttensorflowtriton | 1       | READY                                                                                                                                                                                                                                                                                                                     |

| executor_model            | 1       | UNAVAILABLE: Internal: RuntimeError: Error in virtual void faiss::gpu::StandardGpuResourcesImpl::initializeForDevice(int) at /project/faiss/faiss/gpu/StandardGpuResources.cpp:283: Error: 'err == cudaSuccess' failed: failed to cudaHostAlloc 268435456 bytes for CPU <-> GPU async copy buffer (error 2 out of memory) |

|                           |         |                                                                                                                                                                                                                                                                                                                           |

|                           |         | At:                                                                                                                                                                                                                                                                                                                       |

|                           |         |   /usr/local/lib/python3.8/dist-packages/faiss/swigfaiss.py(10275): index_cpu_to_gpu                                                                                                                                                                                                                                      |

|                           |         |   /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py(74): load_artifacts                                                                                                                                                                          |

|                           |         |   /tmp/examples/poc_ensemble/executor_model/1/model.py(75): initialize                                                                                                                                                                                                                                                    |

+---------------------------+---------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


I1220 18:41:29.251833 11872 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1220 18:41:29.252696 11872 tritonserver.cc:2214]

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Option                           | Value                                                                                                                                                                                        |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| server_id                        | triton                                                                                                                                                                                       |

| server_version                   | 2.25.0                                                                                                                                                                                       |

| server_extensions                | classification sequence model_repository model_repository(unload_dependents) schedule_policy model_configuration system_shared_memory cuda_shared_memory binary_tensor_data statistics trace |

| model_repository_path[0]         | /tmp/examples/poc_ensemble                                                                                                                                                                   |

| model_control_mode               | MODE_NONE                                                                                                                                                                                    |

| strict_model_config              | 0                                                                                                                                                                                            |

| rate_limit                       | OFF                                                                                                                                                                                          |

| pinned_memory_pool_byte_size     | 268435456                                                                                                                                                                                    |

| cuda_memory_pool_byte_size{0}    | 536870912                                                                                                                                                                                    |

| response_cache_byte_size         | 0                                                                                                                                                                                            |

| min_supported_compute_capability | 6.0                                                                                                                                                                                          |

| strict_readiness                 | 1                                                                                                                                                                                            |

| exit_timeout                     | 30                                                                                                                                                                                           |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


I1220 18:41:29.252736 11872 server.cc:262] Waiting for in-flight requests to complete.

I1220 18:41:29.252747 11872 server.cc:278] Timeout 30: Found 0 model versions that have in-flight inferences

I1220 18:41:29.252894 11872 server.cc:293] All models are stopped, unloading models

I1220 18:41:29.252905 11872 server.cc:300] Timeout 30: Found 2 live models and 0 in-flight non-inference requests

I1220 18:41:29.253032 11872 tensorflow.cc:2729] TRITONBACKEND_ModelInstanceFinalize: delete instance state

I1220 18:41:29.253070 11872 tensorflow.cc:2729] TRITONBACKEND_ModelInstanceFinalize: delete instance state

I1220 18:41:29.253174 11872 tensorflow.cc:2668] TRITONBACKEND_ModelFinalize: delete model state

I1220 18:41:29.253421 11872 tensorflow.cc:2668] TRITONBACKEND_ModelFinalize: delete model state

I1220 18:41:29.269897 11872 model_lifecycle.cc:578] successfully unloaded '0_predicttensorflowtriton' version 1

I1220 18:41:29.274771 11872 model_lifecycle.cc:578] successfully unloaded '2_predicttensorflowtriton' version 1

I1220 18:41:30.252994 11872 server.cc:300] Timeout 29: Found 0 live models and 0 in-flight non-inference requests

error: creating server: Internal - failed to load all models

W1220 18:41:30.273545 11872 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

__________________________________ test_func ___________________________________


self = <testbook.client.TestbookNotebookClient object at 0x7fe783afb1f0>

cell = [31], kwargs = {}, cell_indexes = [31], executed_cells = [], idx = 31


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:





          cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)





../../../.local/lib/python3.8/site-packages/testbook/client.py:133:




args = (<testbook.client.TestbookNotebookClient object at 0x7fe783afb1f0>, {'id': '78a34e52', 'cell_type': 'code', 'metadata'...erenceServerException\x1b[0m: [StatusCode.NOT_FOUND] Request for unknown model: 'ensemble_model' is not found"]}]}, 31)

kwargs = {}


def wrapped(*args, **kwargs):





  return just_run(coro(*args, **kwargs))





../../../.local/lib/python3.8/site-packages/nbclient/util.py:84:




coro = <coroutine object NotebookClient.async_execute_cell at 0x7fe783a65f40>


def just_run(coro: Awaitable) -> Any:
    """Make the coroutine run, even if there is an event loop running (using nest_asyncio)"""
    # original from vaex/asyncio.py
    loop = asyncio._get_running_loop()
    if loop is None:
        had_running_loop = False
        try:
            loop = asyncio.get_event_loop()
        except RuntimeError:
            # we can still get 'There is no current event loop in ...'
            loop = asyncio.new_event_loop()
            asyncio.set_event_loop(loop)
    else:
        had_running_loop = True
    if had_running_loop:
        # if there is a running loop, we patch using nest_asyncio
        # to have reentrant event loops
        check_ipython()
        import nest_asyncio

        nest_asyncio.apply()
        check_patch_tornado()





  return loop.run_until_complete(coro)





../../../.local/lib/python3.8/site-packages/nbclient/util.py:62:




self = <_UnixSelectorEventLoop running=False closed=False debug=False>

future = <Task finished name='Task-612' coro=<NotebookClient.async_execute_cell() done, defined at /var/jenkins_home/.local/lib...found\nInferenceServerException: [StatusCode.NOT_FOUND] Request for unknown model: 'ensemble_model' is not found\n')>


def run_until_complete(self, future):
    """Run until the Future is done.

    If the argument is a coroutine, it is wrapped in a Task.

    WARNING: It would be disastrous to call run_until_complete()
    with the same coroutine twice -- it would wrap it in two
    different Tasks and that can't be good.

    Return the Future's result, or raise its exception.
    """
    self._check_closed()
    self._check_running()

    new_task = not futures.isfuture(future)
    future = tasks.ensure_future(future, loop=self)
    if new_task:
        # An exception is raised if the future didn't complete, so there
        # is no need to log the "destroy pending task" message
        future._log_destroy_pending = False

    future.add_done_callback(_run_until_complete_cb)
    try:
        self.run_forever()
    except:
        if new_task and future.done() and not future.cancelled():
            # The coroutine raised a BaseException. Consume the exception
            # to not log a warning, the caller doesn't have access to the
            # local task.
            future.exception()
        raise
    finally:
        future.remove_done_callback(_run_until_complete_cb)
    if not future.done():
        raise RuntimeError('Event loop stopped before Future completed.')





  return future.result()





/usr/lib/python3.8/asyncio/base_events.py:616:




self = <testbook.client.TestbookNotebookClient object at 0x7fe783afb1f0>

cell = {'id': '78a34e52', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-20T18:44:43.868571Z',...1mInferenceServerException\x1b[0m: [StatusCode.NOT_FOUND] Request for unknown model: 'ensemble_model' is not found"]}]}

cell_index = 31, execution_count = None, store_history = True


async def async_execute_cell(
    self,
    cell: NotebookNode,
    cell_index: int,
    execution_count: t.Optional[int] = None,
    store_history: bool = True,
) -> NotebookNode:
    """
    Executes a single code cell.

    To execute all cells see :meth:`execute`.

    Parameters
    ----------
    cell : nbformat.NotebookNode
        The cell which is currently being processed.
    cell_index : int
        The position of the cell within the notebook object.
    execution_count : int
        The execution count to be assigned to the cell (default: Use kernel response)
    store_history : bool
        Determines if history should be stored in the kernel (default: False).
        Specific to ipython kernels, which can store command histories.

    Returns
    -------
    output : dict
        The execution output payload (or None for no output).

    Raises
    ------
    CellExecutionError
        If execution failed and should raise an exception, this will be raised
        with defaults about the failure.

    Returns
    -------
    cell : NotebookNode
        The cell which was just processed.
    """
    assert self.kc is not None

    await run_hook(self.on_cell_start, cell=cell, cell_index=cell_index)

    if cell.cell_type != 'code' or not cell.source.strip():
        self.log.debug("Skipping non-executing cell %s", cell_index)
        return cell

    if self.skip_cells_with_tag in cell.metadata.get("tags", []):
        self.log.debug("Skipping tagged cell %s", cell_index)
        return cell

    if self.record_timing:  # clear execution metadata prior to execution
        cell['metadata']['execution'] = {}

    self.log.debug("Executing cell:\n%s", cell.source)

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors or "raises-exception" in cell.metadata.get("tags", [])
    )

    await run_hook(self.on_cell_execute, cell=cell, cell_index=cell_index)
    parent_msg_id = await ensure_async(
        self.kc.execute(
            cell.source, store_history=store_history, stop_on_error=not cell_allows_errors
        )
    )
    await run_hook(self.on_cell_complete, cell=cell, cell_index=cell_index)
    # We launched a code cell to execute
    self.code_cells_executed += 1
    exec_timeout = self._get_timeout(cell)

    cell.outputs = []
    self.clear_before_next_output = False

    task_poll_kernel_alive = asyncio.ensure_future(self._async_poll_kernel_alive())
    task_poll_output_msg = asyncio.ensure_future(
        self._async_poll_output_msg(parent_msg_id, cell, cell_index)
    )
    self.task_poll_for_reply = asyncio.ensure_future(
        self._async_poll_for_reply(
            parent_msg_id, cell, exec_timeout, task_poll_output_msg, task_poll_kernel_alive
        )
    )
    try:
        exec_reply = await self.task_poll_for_reply
    except asyncio.CancelledError:
        # can only be cancelled by task_poll_kernel_alive when the kernel is dead
        task_poll_output_msg.cancel()
        raise DeadKernelError("Kernel died")
    except Exception as e:
        # Best effort to cancel request if it hasn't been resolved
        try:
            # Check if the task_poll_output is doing the raising for us
            if not isinstance(e, CellControlSignal):
                task_poll_output_msg.cancel()
        finally:
            raise

    if execution_count:
        cell['execution_count'] = execution_count





  await self._check_raise_for_error(cell, cell_index, exec_reply)





../../../.local/lib/python3.8/site-packages/nbclient/client.py:965:




self = <testbook.client.TestbookNotebookClient object at 0x7fe783afb1f0>

cell = {'id': '78a34e52', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-20T18:44:43.868571Z',...1mInferenceServerException\x1b[0m: [StatusCode.NOT_FOUND] Request for unknown model: 'ensemble_model' is not found"]}]}

cell_index = 31

exec_reply = {'buffers': [], 'content': {'ename': 'InferenceServerException', 'engine_info': {'engine_id': -1, 'engine_uuid': 'a253...e, 'engine': 'a25302a4-66a4-4737-b3ee-55193b935bee', 'started': '2022-12-20T18:44:43.868858Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E

E           import shutil

E           from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E           outputs = ensemble.output_schema.column_names

E           response = run_ensemble_on_tritonserver(

E               "/tmp/output/criteo/ensemble/",workflow.input_schema, batch.fillna(0),

E               outputs, "ensemble_model"

E           )

E           response = [x.tolist()[0] for x in response["label/binary_classification_task"]]

E           shutil.rmtree("/tmp/input/criteo", ignore_errors=True)

E           shutil.rmtree("/tmp/output/criteo", ignore_errors=True)

E

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mInferenceServerException�[0m                  Traceback (most recent call last)

E           Cell �[0;32mIn [13], line 4�[0m

E           �[1;32m      2�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E           �[1;32m      3�[0m outputs �[38;5;241m=�[39m ensemble�[38;5;241m.�[39moutput_schema�[38;5;241m.�[39mcolumn_names

E           �[0;32m----> 4�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E           �[1;32m      5�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/output/criteo/ensemble/�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43mworkflow�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[38;5;241;43m.�[39;49m�[43mfillna�[49m�[43m(�[49m�[38;5;241;43m0�[39;49m�[43m)�[49m�[43m,�[49m

E           �[1;32m      6�[0m �[43m    �[49m�[43moutputs�[49m�[43m,�[49m�[43m �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E           �[1;32m      7�[0m �[43m)�[49m

E           �[1;32m      8�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mlabel/binary_classification_task�[39m�[38;5;124m"�[39m]]

E           �[1;32m      9�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/input/criteo�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:140�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E           �[1;32m    138�[0m response �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E           �[1;32m    139�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

E           �[0;32m--> 140�[0m     response �[38;5;241m=�[39m �[43msend_triton_request�[49m�[43m(�[49m

E           �[1;32m    141�[0m �[43m        �[49m�[43mschema�[49m�[43m,�[49m�[43m �[49m�[43mdf�[49m�[43m,�[49m�[43m �[49m�[43moutput_columns�[49m�[43m,�[49m�[43m �[49m�[43mclient�[49m�[38;5;241;43m=�[39;49m�[43mclient�[49m�[43m,�[49m�[43m �[49m�[43mtriton_model�[49m�[38;5;241;43m=�[39;49m�[43mmodel_name�[49m

E           �[1;32m    142�[0m �[43m    �[49m�[43m)�[49m

E           �[1;32m    144�[0m �[38;5;28;01mreturn�[39;00m response

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:193�[0m, in �[0;36msend_triton_request�[0;34m(schema, df, outputs_list, client, endpoint, request_id, triton_model)�[0m

E           �[1;32m    191�[0m outputs �[38;5;241m=�[39m [grpcclient�[38;5;241m.�[39mInferRequestedOutput(col) �[38;5;28;01mfor�[39;00m col �[38;5;129;01min�[39;00m outputs_list]

E           �[1;32m    192�[0m �[38;5;28;01mwith�[39;00m client:

E           �[0;32m--> 193�[0m     response �[38;5;241m=�[39m �[43mclient�[49m�[38;5;241;43m.�[39;49m�[43minfer�[49m�[43m(�[49m�[43mtriton_model�[49m�[43m,�[49m�[43m �[49m�[43minputs�[49m�[43m,�[49m�[43m �[49m�[43mrequest_id�[49m�[38;5;241;43m=�[39;49m�[43mrequest_id�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[38;5;241;43m=�[39;49m�[43moutputs�[49m�[43m)�[49m

E           �[1;32m    195�[0m results �[38;5;241m=�[39m {}

E           �[1;32m    196�[0m �[38;5;28;01mfor�[39;00m col �[38;5;129;01min�[39;00m outputs_list:

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/tritonclient/grpc/init.py:1322�[0m, in �[0;36mInferenceServerClient.infer�[0;34m(self, model_name, inputs, model_version, outputs, request_id, sequence_id, sequence_start, sequence_end, priority, timeout, client_timeout, headers, compression_algorithm)�[0m

E           �[1;32m   1320�[0m     �[38;5;28;01mreturn�[39;00m result

E           �[1;32m   1321�[0m �[38;5;28;01mexcept�[39;00m grpc�[38;5;241m.�[39mRpcError �[38;5;28;01mas�[39;00m rpc_error:

E           �[0;32m-> 1322�[0m     �[43mraise_error_grpc�[49m�[43m(�[49m�[43mrpc_error�[49m�[43m)�[49m

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/tritonclient/grpc/init.py:62�[0m, in �[0;36mraise_error_grpc�[0;34m(rpc_error)�[0m

E           �[1;32m     61�[0m �[38;5;28;01mdef�[39;00m �[38;5;21mraise_error_grpc�[39m(rpc_error):

E           �[0;32m---> 62�[0m     �[38;5;28;01mraise�[39;00m get_error_grpc(rpc_error) �[38;5;28;01mfrom�[39;00m �[38;5;28mNone�[39m

E

E           �[0;31mInferenceServerException�[0m: [StatusCode.NOT_FOUND] Request for unknown model: 'ensemble_model' is not found

E           InferenceServerException: [StatusCode.NOT_FOUND] Request for unknown model: 'ensemble_model' is not found


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError


During handling of the above exception, another exception occurred:


def test_func():
    with testbook(
        REPO_ROOT / "examples" / "scaling-criteo" / "02-ETL-with-NVTabular.ipynb",
        execute=False,
        timeout=180,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["BASE_DIR"] = "/tmp/input/criteo/"
            os.environ["INPUT_DATA_DIR"] = "/tmp/input/criteo/"
            os.environ["OUTPUT_DATA_DIR"] = "/tmp/output/criteo/"
            os.system("mkdir -p /tmp/input/criteo")
            os.system("mkdir -p /tmp/output/criteo")

            from merlin.datasets.synthetic import generate_data

            train, valid = generate_data("criteo", int(100000), set_sizes=(0.7, 0.3))

            train.to_ddf().compute().to_parquet('/tmp/input/criteo/day_0.parquet')
            valid.to_ddf().compute().to_parquet('/tmp/input/criteo/day_1.parquet')
            """
        )
        tb1.execute()
        assert os.path.isfile("/tmp/output/criteo/train/part_0.parquet")
        assert os.path.isfile("/tmp/output/criteo/valid/part_0.parquet")
        assert os.path.isfile("/tmp/output/criteo/workflow/metadata.json")

    with testbook(
        REPO_ROOT
        / "examples"
        / "scaling-criteo"
        / "03-Training-with-Merlin-Models-TensorFlow.ipynb",
        execute=False,
        timeout=180,
    ) as tb2:
        tb2.inject(
            """
            import os
            os.environ["INPUT_DATA_DIR"] = "/tmp/output/criteo/"
            """
        )
        tb2.execute()
        metrics = tb2.ref("eval_metrics")
        assert set(metrics.keys()) == set(
            [
                "auc",
                "binary_accuracy",
                "loss",
                "precision",
                "recall",
                "regularization_loss",
                "loss_batch",
            ]
        )
        assert os.path.isfile("/tmp/output/criteo/dlrm/saved_model.pb")

    with testbook(
        REPO_ROOT
        / "examples"
        / "scaling-criteo"
        / "04-Triton-Inference-with-Merlin-Models-TensorFlow.ipynb",
        execute=False,
        timeout=180,
    ) as tb3:
        tb3.inject(
            """
            import os
            os.environ["BASE_DIR"] = "/tmp/output/criteo/"
            os.environ["INPUT_FOLDER"] = "/tmp/input/criteo/"
            """
        )
        NUM_OF_CELLS = len(tb3.cells)
        tb3.execute_cell(list(range(0, NUM_OF_CELLS - 5)))





      tb3.inject(





            """
            import shutil
            from merlin.systems.triton.utils import run_ensemble_on_tritonserver
            outputs = ensemble.output_schema.column_names
            response = run_ensemble_on_tritonserver(
                "/tmp/output/criteo/ensemble/",workflow.input_schema, batch.fillna(0),
                outputs, "ensemble_model"
            )
            response = [x.tolist()[0] for x in response["label/binary_classification_task"]]
            shutil.rmtree("/tmp/input/criteo", ignore_errors=True)
            shutil.rmtree("/tmp/output/criteo", ignore_errors=True)
            """
        )



tests/unit/examples/test_scaling_criteo_merlin_models.py:84:




../../../.local/lib/python3.8/site-packages/testbook/client.py:237: in inject

cell = TestbookNode(self.execute_cell(inject_idx)) if run else TestbookNode(code_cell)




self = <testbook.client.TestbookNotebookClient object at 0x7fe783afb1f0>

cell = [31], kwargs = {}, cell_indexes = [31], executed_cells = [], idx = 31


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:
            cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)
        except CellExecutionError as ce:





          raise TestbookRuntimeError(ce.evalue, ce, self._get_error_class(ce.ename))





E               testbook.exceptions.TestbookRuntimeError: An error occurred while executing the following cell:

E               ------------------

E

E               import shutil

E               from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E               outputs = ensemble.output_schema.column_names

E               response = run_ensemble_on_tritonserver(

E                   "/tmp/output/criteo/ensemble/",workflow.input_schema, batch.fillna(0),

E                   outputs, "ensemble_model"

E               )

E               response = [x.tolist()[0] for x in response["label/binary_classification_task"]]

E               shutil.rmtree("/tmp/input/criteo", ignore_errors=True)

E               shutil.rmtree("/tmp/output/criteo", ignore_errors=True)

E

E               ------------------

E

E               �[0;31m---------------------------------------------------------------------------�[0m

E               �[0;31mInferenceServerException�[0m                  Traceback (most recent call last)

E               Cell �[0;32mIn [13], line 4�[0m

E               �[1;32m      2�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E               �[1;32m      3�[0m outputs �[38;5;241m=�[39m ensemble�[38;5;241m.�[39moutput_schema�[38;5;241m.�[39mcolumn_names

E               �[0;32m----> 4�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E               �[1;32m      5�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/output/criteo/ensemble/�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43mworkflow�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[38;5;241;43m.�[39;49m�[43mfillna�[49m�[43m(�[49m�[38;5;241;43m0�[39;49m�[43m)�[49m�[43m,�[49m

E               �[1;32m      6�[0m �[43m    �[49m�[43moutputs�[49m�[43m,�[49m�[43m �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mensemble_model�[39;49m�[38;5;124;43m"�[39;49m

E               �[1;32m      7�[0m �[43m)�[49m

E               �[1;32m      8�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mlabel/binary_classification_task�[39m�[38;5;124m"�[39m]]

E               �[1;32m      9�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/input/criteo�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:140�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E               �[1;32m    138�[0m response �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E               �[1;32m    139�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

E               �[0;32m--> 140�[0m     response �[38;5;241m=�[39m �[43msend_triton_request�[49m�[43m(�[49m

E               �[1;32m    141�[0m �[43m        �[49m�[43mschema�[49m�[43m,�[49m�[43m �[49m�[43mdf�[49m�[43m,�[49m�[43m �[49m�[43moutput_columns�[49m�[43m,�[49m�[43m �[49m�[43mclient�[49m�[38;5;241;43m=�[39;49m�[43mclient�[49m�[43m,�[49m�[43m �[49m�[43mtriton_model�[49m�[38;5;241;43m=�[39;49m�[43mmodel_name�[49m

E               �[1;32m    142�[0m �[43m    �[49m�[43m)�[49m

E               �[1;32m    144�[0m �[38;5;28;01mreturn�[39;00m response

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:193�[0m, in �[0;36msend_triton_request�[0;34m(schema, df, outputs_list, client, endpoint, request_id, triton_model)�[0m

E               �[1;32m    191�[0m outputs �[38;5;241m=�[39m [grpcclient�[38;5;241m.�[39mInferRequestedOutput(col) �[38;5;28;01mfor�[39;00m col �[38;5;129;01min�[39;00m outputs_list]

E               �[1;32m    192�[0m �[38;5;28;01mwith�[39;00m client:

E               �[0;32m--> 193�[0m     response �[38;5;241m=�[39m �[43mclient�[49m�[38;5;241;43m.�[39;49m�[43minfer�[49m�[43m(�[49m�[43mtriton_model�[49m�[43m,�[49m�[43m �[49m�[43minputs�[49m�[43m,�[49m�[43m �[49m�[43mrequest_id�[49m�[38;5;241;43m=�[39;49m�[43mrequest_id�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[38;5;241;43m=�[39;49m�[43moutputs�[49m�[43m)�[49m

E               �[1;32m    195�[0m results �[38;5;241m=�[39m {}

E               �[1;32m    196�[0m �[38;5;28;01mfor�[39;00m col �[38;5;129;01min�[39;00m outputs_list:

E

E               File �[0;32m/usr/local/lib/python3.8/dist-packages/tritonclient/grpc/init.py:1322�[0m, in �[0;36mInferenceServerClient.infer�[0;34m(self, model_name, inputs, model_version, outputs, request_id, sequence_id, sequence_start, sequence_end, priority, timeout, client_timeout, headers, compression_algorithm)�[0m

E               �[1;32m   1320�[0m     �[38;5;28;01mreturn�[39;00m result

E               �[1;32m   1321�[0m �[38;5;28;01mexcept�[39;00m grpc�[38;5;241m.�[39mRpcError �[38;5;28;01mas�[39;00m rpc_error:

E               �[0;32m-> 1322�[0m     �[43mraise_error_grpc�[49m�[43m(�[49m�[43mrpc_error�[49m�[43m)�[49m

E

E               File �[0;32m/usr/local/lib/python3.8/dist-packages/tritonclient/grpc/init.py:62�[0m, in �[0;36mraise_error_grpc�[0;34m(rpc_error)�[0m

E               �[1;32m     61�[0m �[38;5;28;01mdef�[39;00m �[38;5;21mraise_error_grpc�[39m(rpc_error):

E               �[0;32m---> 62�[0m     �[38;5;28;01mraise�[39;00m get_error_grpc(rpc_error) �[38;5;28;01mfrom�[39;00m �[38;5;28mNone�[39m

E

E               �[0;31mInferenceServerException�[0m: [StatusCode.NOT_FOUND] Request for unknown model: 'ensemble_model' is not found

E               InferenceServerException: [StatusCode.NOT_FOUND] Request for unknown model: 'ensemble_model' is not found


../../../.local/lib/python3.8/site-packages/testbook/client.py:135: TestbookRuntimeError

----------------------------- Captured stdout call -----------------------------

Signal (2) received.

----------------------------- Captured stderr call -----------------------------

2022-12-20 18:41:44,275 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-20 18:41:44,294 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-20 18:41:44,366 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-20 18:41:44,374 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

/usr/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 39 leaked semaphore objects to clean up at shutdown

warnings.warn('resource_tracker: There appear to be %d '

2022-12-20 18:42:04.173387: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-20 18:42:08.282673: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-12-20 18:42:08.282779: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-20 18:42:08.283551: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 1

2022-12-20 18:42:08.283601: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-20 18:42:08.284248: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 2

2022-12-20 18:42:08.284297: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-20 18:42:08.284903: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 3

2022-12-20 18:42:08.284948: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

2022-12-20 18:43:07.464990: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-20 18:43:11.500587: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-12-20 18:43:11.500688: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-20 18:43:11.501441: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 1

2022-12-20 18:43:11.501498: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-20 18:43:11.502153: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 2

2022-12-20 18:43:11.502201: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-20 18:43:11.502816: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 3

2022-12-20 18:43:11.502865: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

I1220 18:44:44.212310 12858 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7f9426000000' with size 268435456

I1220 18:44:44.213057 12858 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 536870912

I1220 18:44:44.218785 12858 model_lifecycle.cc:459] loading: 0_transformworkflowtriton:1

I1220 18:44:44.218852 12858 model_lifecycle.cc:459] loading: 1_predicttensorflowtriton:1

I1220 18:44:44.218904 12858 model_lifecycle.cc:459] loading: executor_model:1

I1220 18:44:44.501288 12858 tensorflow.cc:2536] TRITONBACKEND_Initialize: tensorflow

I1220 18:44:44.501327 12858 tensorflow.cc:2546] Triton TRITONBACKEND API version: 1.10

I1220 18:44:44.501334 12858 tensorflow.cc:2552] 'tensorflow' TRITONBACKEND API version: 1.10

I1220 18:44:44.501340 12858 tensorflow.cc:2576] backend configuration:

{"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}}

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

I1220 18:44:53.309355 12858 tensorflow.cc:2642] TRITONBACKEND_ModelInitialize: 1_predicttensorflowtriton (version 1)

2022-12-20 18:44:53.311146: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/output/criteo/ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:44:53.333669: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-20 18:44:53.333725: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/output/criteo/ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:44:53.333875: I tensorflow/core/platform/cpu_feature_guard.cc:194] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE3 SSE4.1 SSE4.2 AVX

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-20 18:44:53.740770: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-12-20 18:44:53.740891: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13376 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-20 18:44:53.809656: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled

2022-12-20 18:44:53.816414: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-20 18:44:53.956721: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/output/criteo/ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:44:54.026099: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 714988 microseconds.

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

I1220 18:45:02.572555 12858 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: 0_transformworkflowtriton (GPU device 0)

I1220 18:45:09.730248 12858 tensorflow.cc:2691] TRITONBACKEND_ModelInstanceInitialize: 1_predicttensorflowtriton (GPU device 0)

2022-12-20 18:45:09.731206: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/output/criteo/ensemble/1_predicttensorflowtriton/1/model.savedmodel

I1220 18:45:09.732341 12858 model_lifecycle.cc:693] successfully loaded '0_transformworkflowtriton' version 1

2022-12-20 18:45:09.751726: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-12-20 18:45:09.751777: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/output/criteo/ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:45:09.753791: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13376 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-20 18:45:09.789145: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-12-20 18:45:09.927955: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/output/criteo/ensemble/1_predicttensorflowtriton/1/model.savedmodel

2022-12-20 18:45:09.989687: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 258495 microseconds.

I1220 18:45:09.989906 12858 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: executor_model (GPU device 0)

I1220 18:45:09.990271 12858 model_lifecycle.cc:693] successfully loaded '1_predicttensorflowtriton' version 1

2022-12-20 18:45:18.948575: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-20 18:45:21.109732: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-12-20 18:45:21.109907: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

I1220 18:45:30.615265 12858 model_lifecycle.cc:693] successfully loaded 'executor_model' version 1

I1220 18:45:30.615461 12858 server.cc:561]

+------------------+------+

| Repository Agent | Path |

+------------------+------+

+------------------+------+


I1220 18:45:30.615604 12858 server.cc:588]

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Backend    | Path                                                            | Config                                                                                                                                                                      |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| python     | /opt/tritonserver/backends/python/libtriton_python.so           | {"cmdline":{"auto-complete-config":"true","min-compute-capability":"6.000000","backend-directory":"/opt/tritonserver/backends","default-max-batch-size":"4"}}               |

| tensorflow | /opt/tritonserver/backends/tensorflow2/libtriton_tensorflow2.so | {"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}} |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


I1220 18:45:30.615739 12858 server.cc:631]

+---------------------------+---------+--------+

| Model                     | Version | Status |

+---------------------------+---------+--------+

| 0_transformworkflowtriton | 1       | READY  |

| 1_predicttensorflowtriton | 1       | READY  |

| executor_model            | 1       | READY  |

+---------------------------+---------+--------+


I1220 18:45:30.678606 12858 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1220 18:45:30.679460 12858 tritonserver.cc:2214]

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Option                           | Value                                                                                                                                                                                        |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| server_id                        | triton                                                                                                                                                                                       |

| server_version                   | 2.25.0                                                                                                                                                                                       |

| server_extensions                | classification sequence model_repository model_repository(unload_dependents) schedule_policy model_configuration system_shared_memory cuda_shared_memory binary_tensor_data statistics trace |

| model_repository_path[0]         | /tmp/output/criteo/ensemble/                                                                                                                                                                 |

| model_control_mode               | MODE_NONE                                                                                                                                                                                    |

| strict_model_config              | 0                                                                                                                                                                                            |

| rate_limit                       | OFF                                                                                                                                                                                          |

| pinned_memory_pool_byte_size     | 268435456                                                                                                                                                                                    |

| cuda_memory_pool_byte_size{0}    | 536870912                                                                                                                                                                                    |

| response_cache_byte_size         | 0                                                                                                                                                                                            |

| min_supported_compute_capability | 6.0                                                                                                                                                                                          |

| strict_readiness                 | 1                                                                                                                                                                                            |

| exit_timeout                     | 30                                                                                                                                                                                           |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


I1220 18:45:30.680943 12858 grpc_server.cc:4610] Started GRPCInferenceService at localhost:8001

I1220 18:45:30.681150 12858 http_server.cc:3316] Started HTTPService at 0.0.0.0:8000

I1220 18:45:30.722021 12858 http_server.cc:178] Started Metrics Service at 0.0.0.0:8002

W1220 18:45:31.699477 12858 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

W1220 18:45:32.699680 12858 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

W1220 18:45:33.720509 12858 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

I1220 18:45:53.141313 12858 server.cc:262] Waiting for in-flight requests to complete.

I1220 18:45:53.141356 12858 server.cc:278] Timeout 30: Found 0 model versions that have in-flight inferences

I1220 18:45:53.141627 12858 server.cc:293] All models are stopped, unloading models

I1220 18:45:53.141661 12858 server.cc:300] Timeout 30: Found 3 live models and 0 in-flight non-inference requests

I1220 18:45:53.141669 12858 tensorflow.cc:2729] TRITONBACKEND_ModelInstanceFinalize: delete instance state

I1220 18:45:53.141937 12858 tensorflow.cc:2668] TRITONBACKEND_ModelFinalize: delete model state

I1220 18:45:53.172183 12858 model_lifecycle.cc:578] successfully unloaded '1_predicttensorflowtriton' version 1

I1220 18:45:54.141778 12858 server.cc:300] Timeout 29: Found 2 live models and 0 in-flight non-inference requests

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

I1220 18:45:55.141963 12858 server.cc:300] Timeout 28: Found 2 live models and 0 in-flight non-inference requests

I1220 18:45:55.304868 12858 model_lifecycle.cc:578] successfully unloaded '0_transformworkflowtriton' version 1

I1220 18:45:55.491549 12858 model_lifecycle.cc:578] successfully unloaded 'executor_model' version 1

I1220 18:45:56.142089 12858 server.cc:300] Timeout 27: Found 0 live models and 0 in-flight non-inference requests

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

=============================== warnings summary ===============================

../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33

/usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

DASK_VERSION = LooseVersion(dask.version)


.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: 34 warnings

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

other = LooseVersion(other)


tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/nvtabular/tools/data_gen.py:126: DeprecationWarning: np.long is a deprecated alias for np.compat.long. To silence this warning, use np.compat.long by itself. In the likely event your code does not need to work on Python 2 you can use the builtin int for which np.compat.long is itself an alias. Doing this will not modify any behaviour and is safe. When replacing np.long, you may wish to use e.g. np.int64 or np.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information.

Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

col_size + 1, dtype=np.long, min_val=col.multi_min, max_val=col.multi_max


tests/unit/examples/test_z_legacy_notebooks.py: 12 warnings

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/nvtabular/tools/data_gen.py:140: DeprecationWarning: np.long is a deprecated alias for np.compat.long. To silence this warning, use np.compat.long by itself. In the likely event your code does not need to work on Python 2 you can use the builtin int for which np.compat.long is itself an alias. Doing this will not modify any behaviour and is safe. When replacing np.long, you may wish to use e.g. np.int64 or np.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information.

Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

col_size, dtype=np.long, min_val=col.min_val, max_val=col.cardinality


tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/nvtabular/loader/init.py:19: DeprecationWarning: The nvtabular.loader module has moved to a new repository, at https://github.com/NVIDIA-Merlin/dataloader .  Support for importing from nvtabular.loader is deprecated, and will be removed in a future version. Please update your imports to refer to merlinloader.

warnings.warn(


tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/init.py:23: DeprecationWarning: The merlin.loader package has been moved to merlin.dataloader. Please update your imports, importing from merlin.loader is deprecated and will be removed in a future version

warnings.warn(


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       366    166    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          197     98    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   121     15    88%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141     26    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     24    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    110    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22      1    95%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      2    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/init.py                                   2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/_version.py                                   4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/loader_base.py                              471    104    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/tensorflow.py                               114     38    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/tf_utils.py                                  57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/torch.py                                     66     33    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    102    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  155     61    61%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     11    81%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181     96    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     36    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21      2    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    123    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37      8    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          624    335    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     12    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     11    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190     65    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18      5    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/init.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/tensorflow.py                                     1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/torch.py                                          1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     16    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            17      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                                16      5    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   69      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49      8    84%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                            158    122    23%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     55    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     58    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     175     95    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30      4    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29      7    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     12    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    107    56%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 242    108    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    150    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              182    125    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                106     71    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     19    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280     71    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                64     39    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39      4    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    154    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    128     70    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198     82    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               782    350    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     43    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     44    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      2    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    108    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     22    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     31    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        102     55    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    87     29    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       302    227    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         165     79    52%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/batch_utils.py                          85     12    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     48    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     22    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    141    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31      8    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     90    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     31    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     39    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      4    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306      7    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     33    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       229     55    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82      5    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/init.py                                      6      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/_version.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/init.py                                  4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/dictarray.py                               172    116    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py                                 46      3    93%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/node.py                                     23      2    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py                                26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/init.py                             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/compat.py                               32      8    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py                                77     15    81%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/feast.py                               118     56    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/fil.py                                 221    125    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/operator.py                             79     32    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/pytorch.py                              49     32    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/session_filter.py                       45     28    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/softmax_sampling.py                     51     21    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/tensorflow.py                           73     23    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/unroll_features.py                      50     21    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/workflow.py                             39     11    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/init.py                         1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/base_runtime.py                    11      2    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/init.py                  1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/init.py              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/fil.py                  95     66    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/operator.py             12      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/pytorch.py              62     37    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/tensorflow.py           53      4    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/workflow.py             47     15    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py                  90      4    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/model_registry.py                               16      8    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/init.py                              49     17    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py                          143    120    16%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/export.py                               268    210    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/models/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py                                 72     17    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/init.py                            22     20     9%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/base.py                               113     58    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/hugectr.py                             37     29    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/pytorch.py                             10      6    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/tensorflow.py                          32     25    22%


TOTAL                                                                                                 15719   7265    54%


=========================== short test summary info ============================

SKIPPED [1] tests/unit/examples/test_scaling_criteo_merlin_models_hugectr.py:7: could not import 'hugectr': No module named 'hugectr'

======= 2 failed, 4 passed, 1 skipped, 51 warnings in 495.53s (0:08:15) ========

ERROR: InvocationError for command /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python -m pytest --cov-report term --cov merlin -rxs tests/unit (exited with code 1)

___________________________________ summary ____________________________________

ERROR:   test-gpu: commands failed

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[workspace] $ /bin/bash /tmp/jenkins14276823398771186743.sh

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GitHub pull request #770 of commit 424159666e63c304e3146d065d455e9abf97533c, no merge conflicts.
Running as SYSTEM
Setting status of 424159666e63c304e3146d065d455e9abf97533c to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/708/ and message: 'Pending'
Using context: Jenkins
Building on the built-in node in workspace /var/jenkins_home/jobs/merlin_merlin/workspace
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/770/*:refs/remotes/origin/pr/770/* # timeout=10
 > git rev-parse 424159666e63c304e3146d065d455e9abf97533c^{commit} # timeout=10
 > git rev-parse origin/424159666e63c304e3146d065d455e9abf97533c^{commit} # timeout=10
 > git rev-parse 424159666e63c304e3146d065d455e9abf97533c^{commit} # timeout=10
ERROR: Couldn't find any revision to build. Verify the repository and branch configuration for this job.
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log" 
[workspace] $ /bin/bash /tmp/jenkins11280640458409456331.sh

@nvidia-merlin-bot
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Click to view CI Results
GitHub pull request #770 of commit 9d6ed0540beb47608af1d13c8dac8342d11293d4, no merge conflicts.
Running as SYSTEM
Setting status of 9d6ed0540beb47608af1d13c8dac8342d11293d4 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/710/ and message: 'Pending'
Using context: Jenkins
Building on the built-in node in workspace /var/jenkins_home/jobs/merlin_merlin/workspace
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/770/*:refs/remotes/origin/pr/770/* # timeout=10
 > git rev-parse 9d6ed0540beb47608af1d13c8dac8342d11293d4^{commit} # timeout=10
Checking out Revision 9d6ed0540beb47608af1d13c8dac8342d11293d4 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 9d6ed0540beb47608af1d13c8dac8342d11293d4 # timeout=10
Commit message: "Pin pyarrow version for integration tests"
 > git rev-list --no-walk ebc9f077a83ad255e9a53521e66cff20cb32793d # timeout=10
[workspace] $ /bin/bash /tmp/jenkins1023424529789771041.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.9.0,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.33,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.33,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==7.0.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.5,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.1.0,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.45,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='1027566586'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-ppf6_sge
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-ppf6_sge
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit df53c726ce5b90c00e1310cb80570a8622f8f785
  Installing build dependencies: started
  Installing build dependencies: finished with status 'error'
ERROR: InvocationError for command /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git (exited with code -15 (SIGTERM)) (exited with code -15)
___________________________________ summary ____________________________________
ERROR:   test-gpu: commands failed
Terminated
Build was aborted
Aborted by �[8mha:////4K4GEn4Qce1FuoxeaQlMDQWh44+blmg3CeEZ3q4W6VxeAAAAmR+LCAAAAAAAAP9b85aBtbiIQTGjNKU4P08vOT+vOD8nVc83PyU1x6OyILUoJzMv2y+/JJUBAhiZGBgqihhk0NSjKDWzXb3RdlLBUSYGJk8GtpzUvPSSDB8G5tKinBIGIZ+sxLJE/ZzEvHT94JKizLx0a6BxUmjGOUNodHsLgAz2EgZe/dLi1CL90rzsvPzyPAATbMabwgAAAA==�[0munknown
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log" 
[workspace] $ /bin/bash /tmp/jenkins8476811169160255034.sh

@nvidia-merlin-bot
Copy link
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Click to view CI Results
GitHub pull request #770 of commit be4ed7cad69b8679ceeb2de32abcfcfe9fcb0c42, no merge conflicts.
Running as SYSTEM
Setting status of be4ed7cad69b8679ceeb2de32abcfcfe9fcb0c42 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/712/ and message: 'Pending'
Using context: Jenkins
Building on the built-in node in workspace /var/jenkins_home/jobs/merlin_merlin/workspace
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/770/*:refs/remotes/origin/pr/770/* # timeout=10
 > git rev-parse be4ed7cad69b8679ceeb2de32abcfcfe9fcb0c42^{commit} # timeout=10
Checking out Revision be4ed7cad69b8679ceeb2de32abcfcfe9fcb0c42 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f be4ed7cad69b8679ceeb2de32abcfcfe9fcb0c42 # timeout=10
Commit message: "Merge branch 'main' into pyarrow-pin-version"
 > git rev-list --no-walk 726a37d4f8795d47395b4508dacc1f87e242673d # timeout=10
[workspace] $ /bin/bash /tmp/jenkins10616944853777688280.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.9.0,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.33,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.33,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==7.0.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.5,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.1.0,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.45,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='2354048052'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-qf0sbgtd
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-qf0sbgtd
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit df53c726ce5b90c00e1310cb80570a8622f8f785
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+39.gdf53c72) (2.22.0)
Collecting treelite-runtime==2.4.0
  Downloading treelite_runtime-2.4.0-py3-none-manylinux2014_x86_64.whl (191 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 191.5/191.5 kB 3.1 MB/s eta 0:00:00
Collecting treelite==2.4.0
  Downloading treelite-2.4.0-py3-none-manylinux2014_x86_64.whl (852 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 852.7/852.7 kB 15.1 MB/s eta 0:00:00
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+39.gdf53c72) (0.3.0+12.g78ecddd)
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+39.gdf53c72) (1.1.1)
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+39.gdf53c72) (1.20.3)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from treelite==2.4.0->merlin-systems==0.7.0+39.gdf53c72) (1.8.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (7.0.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.10.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (4.64.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (0.55.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.3.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2022.3.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (3.19.5)
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Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.2.0)
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Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.2.0)
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Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (6.1)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (5.8.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (65.6.3)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
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Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2.8.2)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.2.0)
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (6.0.2)
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Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (6.0.1)
Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+39.gdf53c72-py3-none-any.whl size=100698 sha256=62683fbb91ad3f6bc5f10d9f718f9dbce0b24e4324f5deccd8c5f51afc429d92
  Stored in directory: /tmp/pip-ephem-wheel-cache-0mwhygfx/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, treelite-runtime, treelite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: treelite-runtime
    Found existing installation: treelite-runtime 2.3.0
    Not uninstalling treelite-runtime at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite-runtime'. No files were found to uninstall.
  Attempting uninstall: treelite
    Found existing installation: treelite 2.3.0
    Not uninstalling treelite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+39.gdf53c72 treelite-2.4.0 treelite-runtime-2.4.0
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-f3zngm_2
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-f3zngm_2
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit 130c103be37a1817dd044110a5629baf28c841f1
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+72.g130c103b) (0.3.0+12.g78ecddd)
Collecting merlin-dataloader>=0.0.2
  Downloading merlin-dataloader-0.0.3.tar.gz (48 kB)
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  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (7.0.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (21.3)
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Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (4.64.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (0.55.1)
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Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2022.3.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (3.19.5)
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Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2.4.0)
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Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (6.0.1)
Building wheels for collected packages: merlin-models, merlin-dataloader
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+72.g130c103b-py3-none-any.whl size=357462 sha256=1219f377932bee502ae05b2b565a3b628b3f2260d0f63beb8be0de10a1a844d0
  Stored in directory: /tmp/pip-ephem-wheel-cache-1d6ba6f6/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.3-py3-none-any.whl size=37647 sha256=c17344a326a477d998964fbe069f45e3c0a34e3c4a6cff0655c35c72ebd3c3b1
  Stored in directory: /tmp/pip-ephem-wheel-cache-1d6ba6f6/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built merlin-models merlin-dataloader
Installing collected packages: merlin-dataloader, merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-dataloader-0.0.3 merlin-models-0.9.0+72.g130c103b
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-zk1bk7zc
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-zk1bk7zc
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit 985510ef0f529aa54a8ac29414d3ed71542c4c62
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+22.g985510ef) (1.8.1)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+22.g985510ef) (0.3.0+12.g78ecddd)
Requirement already satisfied: merlin-dataloader>=0.0.2 in ./.tox/test-gpu/lib/python3.8/site-packages (from nvtabular==1.6.0+22.g985510ef) (0.0.3)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (7.0.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.10.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (4.64.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.55.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.3.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.3.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (3.19.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.5)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.3.0)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+22.g985510ef) (1.20.3)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.5.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.12.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (5.4.1)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (8.1.3)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.4.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.0.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.0.4)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (3.1.2)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.7.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (6.1)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (5.8.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (65.6.3)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.38.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.8.2)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (6.0.1)
Building wheels for collected packages: nvtabular
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+22.g985510ef-cp38-cp38-linux_x86_64.whl size=257120 sha256=ee17f2db2fc4ac2cfac6c4de905b136b8b590880eca35ad353d429e4fa18fe10
  Stored in directory: /tmp/pip-ephem-wheel-cache-6rxtx0uu/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
Successfully built nvtabular
Installing collected packages: nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed nvtabular-1.6.0+22.g985510ef
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-aw5dplj1
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-aw5dplj1
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 73c2afc277967015e2f334b8c57a9e8789fa19bd
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (7.0.0)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (2022.3.0)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (2022.5.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (1.10.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (4.64.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (0.55.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (1.3.5)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (3.19.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (1.2.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (2022.3.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (1.2.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (2.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (0.12.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (5.4.1)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.2.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (8.1.3)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (2.4.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (2.0.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.0.4)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (3.1.2)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.7.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (6.1)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (5.8.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+19.g73c2afc) (65.6.3)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+19.g73c2afc) (0.38.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+19.g73c2afc) (1.20.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.9.0+19.g73c2afc) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (2.8.2)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+19.g73c2afc) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (6.0.1)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+19.g73c2afc-py3-none-any.whl size=119766 sha256=9f2c4bcc9a46b5cb81805015a28c3685483299219df9d70162619088c367b6f3
  Stored in directory: /tmp/pip-ephem-wheel-cache-__iwmh81/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.9.0+19.g73c2afc
test-gpu run-test: commands[4] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/dataloader.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/dataloader.git
  Cloning https://github.com/NVIDIA-Merlin/dataloader.git to /tmp/pip-req-build-sto6wk0z
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/dataloader.git /tmp/pip-req-build-sto6wk0z
  Resolved https://github.com/NVIDIA-Merlin/dataloader.git to commit d4e6c1bd9eaaaaca87b336a5da835cb5e0bc5df3
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.8.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from merlin-dataloader==0.0.2+28.gd4e6c1b) (0.9.0+19.g73c2afc)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (7.0.0)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2022.3.0)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2022.5.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.10.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (4.64.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (0.55.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.3.5)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (3.19.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.2.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2022.3.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.2.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (0.12.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (5.4.1)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.2.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (8.1.3)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2.4.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2.0.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.0.4)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (3.1.2)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.7.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (6.1)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (5.8.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (65.6.3)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (0.38.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.20.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2.8.2)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (6.0.1)
Building wheels for collected packages: merlin-dataloader
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.2+28.gd4e6c1b-py3-none-any.whl size=41443 sha256=4578cc63bf2ffe5b3ccd51b5c72d9e1f67946e6f8e6e8d8bde91234da40f2ed0
  Stored in directory: /tmp/pip-ephem-wheel-cache-_cvzwfed/wheels/de/f5/d9/251909f4627d2920fb15548f5ffd6daf1bf24c3c56bb4977b1
Successfully built merlin-dataloader
Installing collected packages: merlin-dataloader
  Attempting uninstall: merlin-dataloader
    Found existing installation: merlin-dataloader 0.0.3
    Uninstalling merlin-dataloader-0.0.3:
      Successfully uninstalled merlin-dataloader-0.0.3
Successfully installed merlin-dataloader-0.0.2+28.gd4e6c1b
test-gpu run-test: commands[5] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, cov-4.0.0, xdist-3.1.0
collected 6 items / 1 skipped

tests/unit/test_version.py .                                             [ 16%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py F      [ 33%]

tests/unit/examples/test_scaling_criteo_merlin_models.py F               [ 50%]

tests/unit/examples/test_scaling_criteo_optimize_notebook.py .           [ 66%]

tests/unit/examples/test_z_legacy_notebooks.py ..                        [100%]


=================================== FAILURES ===================================

__________________________________ test_func ___________________________________


self = <testbook.client.TestbookNotebookClient object at 0x7f1907486a00>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:





          cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)





../../../.local/lib/python3.8/site-packages/testbook/client.py:133:




args = (<testbook.client.TestbookNotebookClient object at 0x7f1907486a00>, {'id': 'cded2dfc', 'cell_type': 'code', 'metadata'...pass\x1b[39;00m\n', '\x1b[0;31mRuntimeError\x1b[0m: Another tritonserver is already running on localhost:8001']}]}, 55)

kwargs = {}


def wrapped(*args, **kwargs):





  return just_run(coro(*args, **kwargs))





../../../.local/lib/python3.8/site-packages/nbclient/util.py:84:




coro = <coroutine object NotebookClient.async_execute_cell at 0x7f19549ad440>


def just_run(coro: Awaitable) -> Any:
    """Make the coroutine run, even if there is an event loop running (using nest_asyncio)"""
    # original from vaex/asyncio.py
    loop = asyncio._get_running_loop()
    if loop is None:
        had_running_loop = False
        try:
            loop = asyncio.get_event_loop()
        except RuntimeError:
            # we can still get 'There is no current event loop in ...'
            loop = asyncio.new_event_loop()
            asyncio.set_event_loop(loop)
    else:
        had_running_loop = True
    if had_running_loop:
        # if there is a running loop, we patch using nest_asyncio
        # to have reentrant event loops
        check_ipython()
        import nest_asyncio

        nest_asyncio.apply()
        check_patch_tornado()





  return loop.run_until_complete(coro)





../../../.local/lib/python3.8/site-packages/nbclient/util.py:62:




self = <_UnixSelectorEventLoop running=False closed=False debug=False>

future = <Task finished name='Task-377' coro=<NotebookClient.async_execute_cell() done, defined at /var/jenkins_home/.local/lib...rver is already running on localhost:8001\nRuntimeError: Another tritonserver is already running on localhost:8001\n')>


def run_until_complete(self, future):
    """Run until the Future is done.

    If the argument is a coroutine, it is wrapped in a Task.

    WARNING: It would be disastrous to call run_until_complete()
    with the same coroutine twice -- it would wrap it in two
    different Tasks and that can't be good.

    Return the Future's result, or raise its exception.
    """
    self._check_closed()
    self._check_running()

    new_task = not futures.isfuture(future)
    future = tasks.ensure_future(future, loop=self)
    if new_task:
        # An exception is raised if the future didn't complete, so there
        # is no need to log the "destroy pending task" message
        future._log_destroy_pending = False

    future.add_done_callback(_run_until_complete_cb)
    try:
        self.run_forever()
    except:
        if new_task and future.done() and not future.cancelled():
            # The coroutine raised a BaseException. Consume the exception
            # to not log a warning, the caller doesn't have access to the
            # local task.
            future.exception()
        raise
    finally:
        future.remove_done_callback(_run_until_complete_cb)
    if not future.done():
        raise RuntimeError('Event loop stopped before Future completed.')





  return future.result()





/usr/lib/python3.8/asyncio/base_events.py:616:




self = <testbook.client.TestbookNotebookClient object at 0x7f1907486a00>

cell = {'id': 'cded2dfc', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-20T19:32:47.707794Z',...8;01mpass\x1b[39;00m\n', '\x1b[0;31mRuntimeError\x1b[0m: Another tritonserver is already running on localhost:8001']}]}

cell_index = 55, execution_count = None, store_history = True


async def async_execute_cell(
    self,
    cell: NotebookNode,
    cell_index: int,
    execution_count: t.Optional[int] = None,
    store_history: bool = True,
) -> NotebookNode:
    """
    Executes a single code cell.

    To execute all cells see :meth:`execute`.

    Parameters
    ----------
    cell : nbformat.NotebookNode
        The cell which is currently being processed.
    cell_index : int
        The position of the cell within the notebook object.
    execution_count : int
        The execution count to be assigned to the cell (default: Use kernel response)
    store_history : bool
        Determines if history should be stored in the kernel (default: False).
        Specific to ipython kernels, which can store command histories.

    Returns
    -------
    output : dict
        The execution output payload (or None for no output).

    Raises
    ------
    CellExecutionError
        If execution failed and should raise an exception, this will be raised
        with defaults about the failure.

    Returns
    -------
    cell : NotebookNode
        The cell which was just processed.
    """
    assert self.kc is not None

    await run_hook(self.on_cell_start, cell=cell, cell_index=cell_index)

    if cell.cell_type != 'code' or not cell.source.strip():
        self.log.debug("Skipping non-executing cell %s", cell_index)
        return cell

    if self.skip_cells_with_tag in cell.metadata.get("tags", []):
        self.log.debug("Skipping tagged cell %s", cell_index)
        return cell

    if self.record_timing:  # clear execution metadata prior to execution
        cell['metadata']['execution'] = {}

    self.log.debug("Executing cell:\n%s", cell.source)

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors or "raises-exception" in cell.metadata.get("tags", [])
    )

    await run_hook(self.on_cell_execute, cell=cell, cell_index=cell_index)
    parent_msg_id = await ensure_async(
        self.kc.execute(
            cell.source, store_history=store_history, stop_on_error=not cell_allows_errors
        )
    )
    await run_hook(self.on_cell_complete, cell=cell, cell_index=cell_index)
    # We launched a code cell to execute
    self.code_cells_executed += 1
    exec_timeout = self._get_timeout(cell)

    cell.outputs = []
    self.clear_before_next_output = False

    task_poll_kernel_alive = asyncio.ensure_future(self._async_poll_kernel_alive())
    task_poll_output_msg = asyncio.ensure_future(
        self._async_poll_output_msg(parent_msg_id, cell, cell_index)
    )
    self.task_poll_for_reply = asyncio.ensure_future(
        self._async_poll_for_reply(
            parent_msg_id, cell, exec_timeout, task_poll_output_msg, task_poll_kernel_alive
        )
    )
    try:
        exec_reply = await self.task_poll_for_reply
    except asyncio.CancelledError:
        # can only be cancelled by task_poll_kernel_alive when the kernel is dead
        task_poll_output_msg.cancel()
        raise DeadKernelError("Kernel died")
    except Exception as e:
        # Best effort to cancel request if it hasn't been resolved
        try:
            # Check if the task_poll_output is doing the raising for us
            if not isinstance(e, CellControlSignal):
                task_poll_output_msg.cancel()
        finally:
            raise

    if execution_count:
        cell['execution_count'] = execution_count





  await self._check_raise_for_error(cell, cell_index, exec_reply)





../../../.local/lib/python3.8/site-packages/nbclient/client.py:965:




self = <testbook.client.TestbookNotebookClient object at 0x7f1907486a00>

cell = {'id': 'cded2dfc', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-20T19:32:47.707794Z',...8;01mpass\x1b[39;00m\n', '\x1b[0;31mRuntimeError\x1b[0m: Another tritonserver is already running on localhost:8001']}]}

cell_index = 55

exec_reply = {'buffers': [], 'content': {'ename': 'RuntimeError', 'engine_info': {'engine_id': -1, 'engine_uuid': '6ea70333-e56d-4c...e, 'engine': '6ea70333-e56d-4c1b-acb0-158f2c5c2c61', 'started': '2022-12-20T19:32:47.708214Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E

E           import shutil

E           from merlin.core.dispatch import get_lib

E           from merlin.dataloader.tf_utils import configure_tensorflow

E           configure_tensorflow()

E           df_lib = get_lib()

E           batch = df_lib.read_parquet(

E               os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E               num_rows=1,

E               columns=["user_id_raw"],

E           )

E           from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E           response = run_ensemble_on_tritonserver(

E               "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "executor_model"

E           )

E           response = [x.tolist()[0] for x in response["ordered_ids"]]

E           shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mRuntimeError�[0m                              Traceback (most recent call last)

E           Cell �[0;32mIn [32], line 12�[0m

E           �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

E           �[1;32m      7�[0m     os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(�[38;5;124m"�[39m�[38;5;124m/tmp/data/processed_nvt/�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mtrain�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mpart_0.parquet�[39m�[38;5;124m"�[39m),

E           �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

E           �[1;32m      9�[0m     columns�[38;5;241m=�[39m[�[38;5;124m"�[39m�[38;5;124muser_id_raw�[39m�[38;5;124m"�[39m],

E           �[1;32m     10�[0m )

E           �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E           �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E           �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mexecutor_model�[39;49m�[38;5;124;43m"�[39;49m

E           �[1;32m     14�[0m �[43m)�[49m

E           �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E           �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:139�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E           �[1;32m    116�[0m �[38;5;124;03m"""Starts up a Triton server instance, loads up the ensemble model,�[39;00m

E           �[1;32m    117�[0m �[38;5;124;03mprepares the inference request and returns the unparsed inference�[39;00m

E           �[1;32m    118�[0m �[38;5;124;03mresponse.�[39;00m

E           �[0;32m   (...)�[0m

E           �[1;32m    136�[0m �[38;5;124;03m    the results of the prediction, parsed by output column name.�[39;00m

E           �[1;32m    137�[0m �[38;5;124;03m"""�[39;00m

E           �[1;32m    138�[0m response �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E           �[0;32m--> 139�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

E           �[1;32m    140�[0m     response �[38;5;241m=�[39m send_triton_request(

E           �[1;32m    141�[0m         schema, df, output_columns, client�[38;5;241m=�[39mclient, triton_model�[38;5;241m=�[39mmodel_name

E           �[1;32m    142�[0m     )

E           �[1;32m    144�[0m �[38;5;28;01mreturn�[39;00m response

E

E           File �[0;32m/usr/lib/python3.8/contextlib.py:113�[0m, in �[0;36m_GeneratorContextManager.__enter__�[0;34m(self)�[0m

E           �[1;32m    111�[0m �[38;5;28;01mdel�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39margs, �[38;5;28mself�[39m�[38;5;241m.�[39mkwds, �[38;5;28mself�[39m�[38;5;241m.�[39mfunc

E           �[1;32m    112�[0m �[38;5;28;01mtry�[39;00m:

E           �[0;32m--> 113�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28;43mnext�[39;49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mgen�[49m�[43m)�[49m

E           �[1;32m    114�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mStopIteration�[39;00m:

E           �[1;32m    115�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124m"�[39m�[38;5;124mgenerator didn�[39m�[38;5;124m'�[39m�[38;5;124mt yield�[39m�[38;5;124m"�[39m) �[38;5;28;01mfrom�[39;00m �[38;5;28mNone�[39m

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:58�[0m, in �[0;36mrun_triton_server�[0;34m(model_repository, grpc_host, grpc_port, backend_config)�[0m

E           �[1;32m     56�[0m     �[38;5;28;01mwith�[39;00m grpcclient�[38;5;241m.�[39mInferenceServerClient(grpc_url) �[38;5;28;01mas�[39;00m client:

E           �[1;32m     57�[0m         �[38;5;28;01mif�[39;00m client�[38;5;241m.�[39mis_server_ready():

E           �[0;32m---> 58�[0m             �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124mf�[39m�[38;5;124m"�[39m�[38;5;124mAnother tritonserver is already running on �[39m�[38;5;132;01m{�[39;00mgrpc_url�[38;5;132;01m}�[39;00m�[38;5;124m"�[39m)

E           �[1;32m     59�[0m �[38;5;28;01mexcept�[39;00m tritonclient�[38;5;241m.�[39mutils�[38;5;241m.�[39mInferenceServerException:

E           �[1;32m     60�[0m     �[38;5;28;01mpass�[39;00m

E

E           �[0;31mRuntimeError�[0m: Another tritonserver is already running on localhost:8001

E           RuntimeError: Another tritonserver is already running on localhost:8001


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError


During handling of the above exception, another exception occurred:


def test_func():
    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "01-Building-Recommender-Systems-with-Merlin.ipynb",
        execute=False,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["NUM_ROWS"] = "100000"
            os.system("mkdir -p /tmp/examples")
            os.environ["BASE_DIR"] = "/tmp/examples/"
            """
        )
        tb1.execute()
        assert os.path.isdir("/tmp/examples/dlrm")
        assert os.path.isdir("/tmp/examples/feature_repo")
        assert os.path.isdir("/tmp/examples/query_tower")
        assert os.path.isfile("/tmp/examples/item_embeddings.parquet")
        assert os.path.isfile("/tmp/examples/feature_repo/user_features.py")
        assert os.path.isfile("/tmp/examples/feature_repo/item_features.py")

    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "02-Deploying-multi-stage-RecSys-with-Merlin-Systems.ipynb",
        execute=False,
        timeout=180,
    ) as tb2:
        tb2.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["BASE_DIR"] = "/tmp/examples/"
            os.environ["topk_retrieval"] = "20"
            """
        )
        NUM_OF_CELLS = len(tb2.cells)
        tb2.execute_cell(list(range(0, NUM_OF_CELLS - 3)))
        top_k = tb2.ref("top_k")
        outputs = tb2.ref("outputs")
        assert outputs[0] == "ordered_ids"





      tb2.inject(





            """
            import shutil
            from merlin.core.dispatch import get_lib
            from merlin.dataloader.tf_utils import configure_tensorflow
            configure_tensorflow()
            df_lib = get_lib()
            batch = df_lib.read_parquet(
                os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),
                num_rows=1,
                columns=["user_id_raw"],
            )
            from merlin.systems.triton.utils import run_ensemble_on_tritonserver
            response = run_ensemble_on_tritonserver(
                "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "executor_model"
            )
            response = [x.tolist()[0] for x in response["ordered_ids"]]
            shutil.rmtree("/tmp/examples/", ignore_errors=True)
            """
        )



tests/unit/examples/test_building_deploying_multi_stage_RecSys.py:61:




../../../.local/lib/python3.8/site-packages/testbook/client.py:237: in inject

cell = TestbookNode(self.execute_cell(inject_idx)) if run else TestbookNode(code_cell)




self = <testbook.client.TestbookNotebookClient object at 0x7f1907486a00>

cell = [55], kwargs = {}, cell_indexes = [55], executed_cells = [], idx = 55


def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:
            cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)
        except CellExecutionError as ce:





          raise TestbookRuntimeError(ce.evalue, ce, self._get_error_class(ce.ename))





E               testbook.exceptions.TestbookRuntimeError: An error occurred while executing the following cell:

E               ------------------

E

E               import shutil

E               from merlin.core.dispatch import get_lib

E               from merlin.dataloader.tf_utils import configure_tensorflow

E               configure_tensorflow()

E               df_lib = get_lib()

E               batch = df_lib.read_parquet(

E                   os.path.join("/tmp/data/processed_nvt/", "train", "part_0.parquet"),

E                   num_rows=1,

E                   columns=["user_id_raw"],

E               )

E               from merlin.systems.triton.utils import run_ensemble_on_tritonserver

E               response = run_ensemble_on_tritonserver(

E                   "/tmp/examples/poc_ensemble", ensemble.graph.input_schema, batch, outputs,  "executor_model"

E               )

E               response = [x.tolist()[0] for x in response["ordered_ids"]]

E               shutil.rmtree("/tmp/examples/", ignore_errors=True)

E

E               ------------------

E

E               �[0;31m---------------------------------------------------------------------------�[0m

E               �[0;31mRuntimeError�[0m                              Traceback (most recent call last)

E               Cell �[0;32mIn [32], line 12�[0m

E               �[1;32m      6�[0m batch �[38;5;241m=�[39m df_lib�[38;5;241m.�[39mread_parquet(

E               �[1;32m      7�[0m     os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(�[38;5;124m"�[39m�[38;5;124m/tmp/data/processed_nvt/�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mtrain�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124mpart_0.parquet�[39m�[38;5;124m"�[39m),

E               �[1;32m      8�[0m     num_rows�[38;5;241m=�[39m�[38;5;241m1�[39m,

E               �[1;32m      9�[0m     columns�[38;5;241m=�[39m[�[38;5;124m"�[39m�[38;5;124muser_id_raw�[39m�[38;5;124m"�[39m],

E               �[1;32m     10�[0m )

E               �[1;32m     11�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msystems�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mtriton�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mutils�[39;00m �[38;5;28;01mimport�[39;00m run_ensemble_on_tritonserver

E               �[0;32m---> 12�[0m response �[38;5;241m=�[39m �[43mrun_ensemble_on_tritonserver�[49m�[43m(�[49m

E               �[1;32m     13�[0m �[43m    �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m/tmp/examples/poc_ensemble�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[43mensemble�[49m�[38;5;241;43m.�[39;49m�[43mgraph�[49m�[38;5;241;43m.�[39;49m�[43minput_schema�[49m�[43m,�[49m�[43m �[49m�[43mbatch�[49m�[43m,�[49m�[43m �[49m�[43moutputs�[49m�[43m,�[49m�[43m  �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mexecutor_model�[39;49m�[38;5;124;43m"�[39;49m

E               �[1;32m     14�[0m �[43m)�[49m

E               �[1;32m     15�[0m response �[38;5;241m=�[39m [x�[38;5;241m.�[39mtolist()[�[38;5;241m0�[39m] �[38;5;28;01mfor�[39;00m x �[38;5;129;01min�[39;00m response[�[38;5;124m"�[39m�[38;5;124mordered_ids�[39m�[38;5;124m"�[39m]]

E               �[1;32m     16�[0m shutil�[38;5;241m.�[39mrmtree(�[38;5;124m"�[39m�[38;5;124m/tmp/examples/�[39m�[38;5;124m"�[39m, ignore_errors�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m)

E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:139�[0m, in �[0;36mrun_ensemble_on_tritonserver�[0;34m(tmpdir, schema, df, output_columns, model_name)�[0m

E               �[1;32m    116�[0m �[38;5;124;03m"""Starts up a Triton server instance, loads up the ensemble model,�[39;00m

E               �[1;32m    117�[0m �[38;5;124;03mprepares the inference request and returns the unparsed inference�[39;00m

E               �[1;32m    118�[0m �[38;5;124;03mresponse.�[39;00m

E               �[0;32m   (...)�[0m

E               �[1;32m    136�[0m �[38;5;124;03m    the results of the prediction, parsed by output column name.�[39;00m

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E               �[0;32m--> 139�[0m �[38;5;28;01mwith�[39;00m run_triton_server(tmpdir) �[38;5;28;01mas�[39;00m client:

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E               �[1;32m    144�[0m �[38;5;28;01mreturn�[39;00m response

E

E               File �[0;32m/usr/lib/python3.8/contextlib.py:113�[0m, in �[0;36m_GeneratorContextManager.__enter__�[0;34m(self)�[0m

E               �[1;32m    111�[0m �[38;5;28;01mdel�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39margs, �[38;5;28mself�[39m�[38;5;241m.�[39mkwds, �[38;5;28mself�[39m�[38;5;241m.�[39mfunc

E               �[1;32m    112�[0m �[38;5;28;01mtry�[39;00m:

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E               �[1;32m    114�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mStopIteration�[39;00m:

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E

E               File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py:58�[0m, in �[0;36mrun_triton_server�[0;34m(model_repository, grpc_host, grpc_port, backend_config)�[0m

E               �[1;32m     56�[0m     �[38;5;28;01mwith�[39;00m grpcclient�[38;5;241m.�[39mInferenceServerClient(grpc_url) �[38;5;28;01mas�[39;00m client:

E               �[1;32m     57�[0m         �[38;5;28;01mif�[39;00m client�[38;5;241m.�[39mis_server_ready():

E               �[0;32m---> 58�[0m             �[38;5;28;01mraise�[39;00m �[38;5;167;01mRuntimeError�[39;00m(�[38;5;124mf�[39m�[38;5;124m"�[39m�[38;5;124mAnother tritonserver is already running on �[39m�[38;5;132;01m{�[39;00mgrpc_url�[38;5;132;01m}�[39;00m�[38;5;124m"�[39m)

E               �[1;32m     59�[0m �[38;5;28;01mexcept�[39;00m tritonclient�[38;5;241m.�[39mutils�[38;5;241m.�[39mInferenceServerException:

E               �[1;32m     60�[0m     �[38;5;28;01mpass�[39;00m

E

E               �[0;31mRuntimeError�[0m: Another tritonserver is already running on localhost:8001

E               RuntimeError: Another tritonserver is already running on localhost:8001


../../../.local/lib/python3.8/site-packages/testbook/client.py:135: TestbookRuntimeError

----------------------------- Captured stderr call -----------------------------

2022-12-20 19:30:54.326716: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-20 19:30:58.418146: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-12-20 19:30:58.418252: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-20 19:30:58.418923: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 1

2022-12-20 19:30:58.418982: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-20 19:30:58.419597: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 2

2022-12-20 19:30:58.419648: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-20 19:30:58.420286: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 3

2022-12-20 19:30:58.420338: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

WARNING clustering 455 points to 32 centroids: please provide at least 1248 training points

2022-12-20 19:32:25.533812: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-12-20 19:32:29.638590: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-12-20 19:32:29.638778: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-12-20 19:32:29.646694: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 1

2022-12-20 19:32:29.646767: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15149 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-20 19:32:29.647386: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 2

2022-12-20 19:32:29.647436: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 15149 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-20 19:32:29.648038: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 3

2022-12-20 19:32:29.648111: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 15149 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

__________________________________ test_func ___________________________________


def test_func():
    with testbook(
        REPO_ROOT / "examples" / "scaling-criteo" / "02-ETL-with-NVTabular.ipynb",
        execute=False,
        timeout=180,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["BASE_DIR"] = "/tmp/input/criteo/"
            os.environ["INPUT_DATA_DIR"] = "/tmp/input/criteo/"
            os.environ["OUTPUT_DATA_DIR"] = "/tmp/output/criteo/"
            os.system("mkdir -p /tmp/input/criteo")
            os.system("mkdir -p /tmp/output/criteo")

            from merlin.datasets.synthetic import generate_data

            train, valid = generate_data("criteo", int(100000), set_sizes=(0.7, 0.3))

            train.to_ddf().compute().to_parquet('/tmp/input/criteo/day_0.parquet')
            valid.to_ddf().compute().to_parquet('/tmp/input/criteo/day_1.parquet')
            """
        )





      tb1.execute()





tests/unit/examples/test_scaling_criteo_merlin_models.py:33:




../../../.local/lib/python3.8/site-packages/testbook/client.py:147: in execute

super().execute_cell(cell, index)

../../../.local/lib/python3.8/site-packages/nbclient/util.py:84: in wrapped

return just_run(coro(*args, **kwargs))

../../../.local/lib/python3.8/site-packages/nbclient/util.py:62: in just_run

return loop.run_until_complete(coro)

/usr/lib/python3.8/asyncio/base_events.py:616: in run_until_complete

return future.result()

../../../.local/lib/python3.8/site-packages/nbclient/client.py:965: in async_execute_cell

await self._check_raise_for_error(cell, cell_index, exec_reply)




self = <testbook.client.TestbookNotebookClient object at 0x7f1a76f68cd0>

cell = {'id': '6fc5019f', 'cell_type': 'code', 'metadata': {'execution': {'iopub.status.busy': '2022-12-20T19:33:10.295536Z',...ror at: /opt/rapids/rmm/include/rmm/mr/device/cuda_memory_resource.hpp:70: cudaErrorMemoryAllocation out of memory']}]}

cell_index = 28

exec_reply = {'buffers': [], 'content': {'ename': 'MemoryError', 'engine_info': {'engine_id': -1, 'engine_uuid': 'f7754bd6-3648-41d...e, 'engine': 'f7754bd6-3648-41d6-a2e6-917cef550718', 'started': '2022-12-20T19:33:10.295847Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(self.on_cell_error, cell=cell, cell_index=cell_index)
    if not cell_allows_errors:





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E

E           import os

E           os.environ["BASE_DIR"] = "/tmp/input/criteo/"

E           os.environ["INPUT_DATA_DIR"] = "/tmp/input/criteo/"

E           os.environ["OUTPUT_DATA_DIR"] = "/tmp/output/criteo/"

E           os.system("mkdir -p /tmp/input/criteo")

E           os.system("mkdir -p /tmp/output/criteo")

E

E           from merlin.datasets.synthetic import generate_data

E

E           train, valid = generate_data("criteo", int(100000), set_sizes=(0.7, 0.3))

E

E           train.to_ddf().compute().to_parquet('/tmp/input/criteo/day_0.parquet')

E           valid.to_ddf().compute().to_parquet('/tmp/input/criteo/day_1.parquet')

E

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mMemoryError�[0m                               Traceback (most recent call last)

E           Cell �[0;32mIn [16], line 10�[0m

E           �[1;32m      6�[0m os�[38;5;241m.�[39msystem(�[38;5;124m"�[39m�[38;5;124mmkdir -p /tmp/output/criteo�[39m�[38;5;124m"�[39m)

E           �[1;32m      8�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mdatasets�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msynthetic�[39;00m �[38;5;28;01mimport�[39;00m generate_data

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E           �[1;32m     13�[0m valid�[38;5;241m.�[39mto_ddf()�[38;5;241m.�[39mcompute()�[38;5;241m.�[39mto_parquet(�[38;5;124m'�[39m�[38;5;124m/tmp/input/criteo/day_1.parquet�[39m�[38;5;124m'�[39m)

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py:149�[0m, in �[0;36mgenerate_data�[0;34m(input, num_rows, set_sizes, min_session_length, max_session_length, device)�[0m

E           �[1;32m    146�[0m         start_i �[38;5;241m=�[39m end_i

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E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py:149�[0m, in �[0;36m�[0;34m(.0)�[0m

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E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:264�[0m, in �[0;36mDataset.__init__�[0;34m(self, path_or_source, engine, npartitions, part_size, part_mem_fraction, storage_options, dtypes, client, cpu, base_dataset, schema, **kwargs)�[0m

E           �[1;32m    258�[0m npartitions �[38;5;241m=�[39m npartitions �[38;5;129;01mor�[39;00m �[38;5;241m1�[39m

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E           �[1;32m    263�[0m     �[38;5;66;03m# Use DataFrameDatasetEngine�[39;00m

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E           �[1;32m    266�[0m �[43m    �[49m�[43m)�[49m

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E           �[1;32m    269�[0m         �[38;5;129;01mnot�[39;00m �[38;5;28misinstance�[39m(_path_or_source�[38;5;241m.�[39m_meta, �[38;5;28mtype�[39m(path_or_source�[38;5;241m.�[39m_meta))

E           �[1;32m    270�[0m     )

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py:594�[0m, in �[0;36mconvert_data�[0;34m(x, cpu, to_collection, npartitions)�[0m

E           �[1;32m    592�[0m     _x �[38;5;241m=�[39m cudf�[38;5;241m.�[39mDataFrame�[38;5;241m.�[39mfrom_arrow(x)

E           �[1;32m    593�[0m �[38;5;28;01melif�[39;00m �[38;5;28misinstance�[39m(x, pd�[38;5;241m.�[39mDataFrame):

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E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/nvtx/nvtx.py:101�[0m, in �[0;36mannotate.call..inner�[0;34m(args, **kwargs)�[0m

E           �[1;32m     98�[0m �[38;5;129m@wraps�[39m(func)

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E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:4547�[0m, in �[0;36mDataFrame.from_pandas�[0;34m(cls, dataframe, nan_as_null)�[0m

E           �[1;32m   4543�[0m �[38;5;28;01mfor�[39;00m col_name, col_value �[38;5;129;01min�[39;00m dataframe�[38;5;241m.�[39mitems():

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E

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E           File �[0;32m/usr/local/lib/python3.8/dist-packages/cudf/core/column/column.py:1760�[0m, in �[0;36mas_column�[0;34m(arbitrary, nan_as_null, dtype, length)�[0m

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E           �[0;31mMemoryError�[0m: std::bad_alloc: out_of_memory: CUDA error at: /opt/rapids/rmm/include/rmm/mr/device/cuda_memory_resource.hpp:70: cudaErrorMemoryAllocation out of memory

E           MemoryError: std::bad_alloc: out_of_memory: CUDA error at: /opt/rapids/rmm/include/rmm/mr/device/cuda_memory_resource.hpp:70: cudaErrorMemoryAllocation out of memory


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError

----------------------------- Captured stderr call -----------------------------

2022-12-20 19:33:00,036 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-20 19:33:00,063 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-20 19:33:00,110 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-20 19:33:00,117 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

/usr/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 42 leaked semaphore objects to clean up at shutdown

warnings.warn('resource_tracker: There appear to be %d '

=============================== warnings summary ===============================

../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33

/usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

DASK_VERSION = LooseVersion(dask.version)


.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: 34 warnings

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

other = LooseVersion(other)


tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/nvtabular/tools/data_gen.py:126: DeprecationWarning: np.long is a deprecated alias for np.compat.long. To silence this warning, use np.compat.long by itself. In the likely event your code does not need to work on Python 2 you can use the builtin int for which np.compat.long is itself an alias. Doing this will not modify any behaviour and is safe. When replacing np.long, you may wish to use e.g. np.int64 or np.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information.

Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

col_size + 1, dtype=np.long, min_val=col.multi_min, max_val=col.multi_max


tests/unit/examples/test_z_legacy_notebooks.py: 12 warnings

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/nvtabular/tools/data_gen.py:140: DeprecationWarning: np.long is a deprecated alias for np.compat.long. To silence this warning, use np.compat.long by itself. In the likely event your code does not need to work on Python 2 you can use the builtin int for which np.compat.long is itself an alias. Doing this will not modify any behaviour and is safe. When replacing np.long, you may wish to use e.g. np.int64 or np.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information.

Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

col_size, dtype=np.long, min_val=col.min_val, max_val=col.cardinality


tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/nvtabular/loader/init.py:19: DeprecationWarning: The nvtabular.loader module has moved to a new repository, at https://github.com/NVIDIA-Merlin/dataloader .  Support for importing from nvtabular.loader is deprecated, and will be removed in a future version. Please update your imports to refer to merlinloader.

warnings.warn(


tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/init.py:23: DeprecationWarning: The merlin.loader package has been moved to merlin.dataloader. Please update your imports, importing from merlin.loader is deprecated and will be removed in a future version

warnings.warn(


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       366    166    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          197     98    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   121     16    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141     26    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    110    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22      1    95%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      2    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/init.py                                   2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/_version.py                                   4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/loader_base.py                              471    105    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/tensorflow.py                               114     38    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/tf_utils.py                                  57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/torch.py                                     66     33    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    102    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  155     61    61%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     11    81%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181     96    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     36    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21      2    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    123    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37      8    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          624    336    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     12    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     11    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190     65    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18      5    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/init.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/tensorflow.py                                     1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/torch.py                                          1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     17    73%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            17      1    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                                16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   69      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49     15    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                            158    122    23%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     55    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     58    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     175     95    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30      4    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29      7    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     12    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    111    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 242    114    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    161    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              182    125    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                106     71    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     19    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280     84    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                64     39    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39     16    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    154    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    128     70    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198     82    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               782    357    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     43    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     44    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      2    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    108    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     22    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     31    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        102     55    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    87     29    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       302    227    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         165     79    52%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/batch_utils.py                          85     12    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     48    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     22    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    141    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31      8    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     90    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     33    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     39    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      4    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306      7    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     36    81%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       229     56    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82      5    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/init.py                                      6      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/_version.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/init.py                                  4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/dictarray.py                               172    116    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py                                 46     13    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/node.py                                     23      2    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py                                26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/init.py                             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/compat.py                               32      8    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py                                77     23    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/feast.py                               118     57    52%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/fil.py                                 221    125    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/operator.py                             79     32    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/pytorch.py                              49     32    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/session_filter.py                       45     28    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/softmax_sampling.py                     51     21    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/tensorflow.py                           73     25    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/unroll_features.py                      50     21    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/workflow.py                             39     25    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/init.py                         1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/base_runtime.py                    11      2    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/init.py                  1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/init.py              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/fil.py                  95     66    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/operator.py             12      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/pytorch.py              62     37    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/tensorflow.py           53      5    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/workflow.py             47     29    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py                  90      4    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/model_registry.py                               16      8    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/init.py                              49     34    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py                          143    120    16%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/export.py                               268    234    13%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/models/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py                                 72     45    38%


TOTAL                                                                                                 15505   7320    53%


=========================== short test summary info ============================

SKIPPED [1] tests/unit/examples/test_scaling_criteo_merlin_models_hugectr.py:7: could not import 'hugectr': No module named 'hugectr'

======= 2 failed, 4 passed, 1 skipped, 51 warnings in 238.20s (0:03:58) ========

ERROR: InvocationError for command /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python -m pytest --cov-report term --cov merlin -rxs tests/unit (exited with code 1)

___________________________________ summary ____________________________________

ERROR:   test-gpu: commands failed

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[workspace] $ /bin/bash /tmp/jenkins6087446946491552024.sh

@jperez999
Copy link
Collaborator

rerun tests

@nvidia-merlin-bot
Copy link
Contributor

Click to view CI Results
GitHub pull request #770 of commit be4ed7cad69b8679ceeb2de32abcfcfe9fcb0c42, no merge conflicts.
Running as SYSTEM
Setting status of be4ed7cad69b8679ceeb2de32abcfcfe9fcb0c42 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/713/ and message: 'Pending'
Using context: Jenkins
Building on the built-in node in workspace /var/jenkins_home/jobs/merlin_merlin/workspace
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/770/*:refs/remotes/origin/pr/770/* # timeout=10
 > git rev-parse be4ed7cad69b8679ceeb2de32abcfcfe9fcb0c42^{commit} # timeout=10
Checking out Revision be4ed7cad69b8679ceeb2de32abcfcfe9fcb0c42 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f be4ed7cad69b8679ceeb2de32abcfcfe9fcb0c42 # timeout=10
Commit message: "Merge branch 'main' into pyarrow-pin-version"
 > git rev-list --no-walk be4ed7cad69b8679ceeb2de32abcfcfe9fcb0c42 # timeout=10
[workspace] $ /bin/bash /tmp/jenkins15848425411738815629.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.9.0,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.33,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.33,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==7.0.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.5,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.1.0,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.45,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='2362840924'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-uxztivan
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-uxztivan
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit df53c726ce5b90c00e1310cb80570a8622f8f785
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Collecting treelite==2.4.0
  Downloading treelite-2.4.0-py3-none-manylinux2014_x86_64.whl (852 kB)
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Collecting treelite-runtime==2.4.0
  Downloading treelite_runtime-2.4.0-py3-none-manylinux2014_x86_64.whl (191 kB)
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Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+39.gdf53c72) (1.1.1)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+39.gdf53c72) (0.3.0+12.g78ecddd)
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+39.gdf53c72) (2.22.0)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from treelite==2.4.0->merlin-systems==0.7.0+39.gdf53c72) (1.8.1)
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+39.gdf53c72) (1.20.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.10.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (0.55.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (7.0.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.2.5)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.3.5)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (4.64.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2022.3.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (21.3)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (3.19.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.2.0)
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Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (5.4.1)
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Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (8.1.3)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2.4.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.7.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (5.8.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2.0.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (6.1)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (3.1.2)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (65.6.3)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
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Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (2.8.2)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (4.1.0)
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Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+39.gdf53c72) (4.0.0)
Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+39.gdf53c72-py3-none-any.whl size=100698 sha256=eaaee2bd4bb4018763fb3714eb499c173828bf6c9af94212bd47145d9296ee40
  Stored in directory: /tmp/pip-ephem-wheel-cache-x4abtk7t/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, treelite-runtime, treelite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: treelite-runtime
    Found existing installation: treelite-runtime 2.3.0
    Not uninstalling treelite-runtime at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite-runtime'. No files were found to uninstall.
  Attempting uninstall: treelite
    Found existing installation: treelite 2.3.0
    Not uninstalling treelite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+39.gdf53c72 treelite-2.4.0 treelite-runtime-2.4.0
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-kpc0sk40
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-kpc0sk40
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit 130c103be37a1817dd044110a5629baf28c841f1
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Collecting merlin-dataloader>=0.0.2
  Downloading merlin-dataloader-0.0.3.tar.gz (48 kB)
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  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+72.g130c103b) (0.3.0+12.g78ecddd)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.10.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (0.55.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (7.0.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.2.5)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.3.5)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (4.64.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2022.3.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (21.3)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (3.19.5)
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Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (5.4.1)
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Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.0.4)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (8.1.3)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2.4.0)
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Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2.0.0)
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Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (3.1.2)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (65.6.3)
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Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.20.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2.8.2)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+72.g130c103b) (4.0.0)
Building wheels for collected packages: merlin-models, merlin-dataloader
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+72.g130c103b-py3-none-any.whl size=357462 sha256=5316cf375c6c9f96fc936e70aae86fad9113bad580c3e26ce85f54624203292f
  Stored in directory: /tmp/pip-ephem-wheel-cache-k0h5vdv3/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.3-py3-none-any.whl size=37647 sha256=7e1a7937c86fbaede02d8d88f9d9d628e3f5c400e2d5e4677503c6a144eccc9a
  Stored in directory: /tmp/pip-ephem-wheel-cache-k0h5vdv3/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built merlin-models merlin-dataloader
Installing collected packages: merlin-dataloader, merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-dataloader-0.0.3 merlin-models-0.9.0+72.g130c103b
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-bfsx93z2
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-bfsx93z2
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit 985510ef0f529aa54a8ac29414d3ed71542c4c62
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-dataloader>=0.0.2 in ./.tox/test-gpu/lib/python3.8/site-packages (from nvtabular==1.6.0+22.g985510ef) (0.0.3)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+22.g985510ef) (0.3.0+12.g78ecddd)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+22.g985510ef) (1.8.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.10.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.55.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (7.0.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.5)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.3.5)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (4.64.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.3.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (21.3)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (3.19.5)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+22.g985510ef) (1.20.3)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.12.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.5.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (5.4.1)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.2.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.0.4)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (8.1.3)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.4.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.7.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (5.8.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.0.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (6.1)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (3.1.2)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (65.6.3)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.38.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.8.2)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+22.g985510ef) (4.0.0)
Building wheels for collected packages: nvtabular
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+22.g985510ef-cp38-cp38-linux_x86_64.whl size=257120 sha256=659fa450d735437d8f2008860b232e2eaab4a96008125e8bebf69a13a4d1ce8b
  Stored in directory: /tmp/pip-ephem-wheel-cache-25stomy6/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
Successfully built nvtabular
Installing collected packages: nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed nvtabular-1.6.0+22.g985510ef
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-vtrxu_8n
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-vtrxu_8n
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 73c2afc277967015e2f334b8c57a9e8789fa19bd
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (1.10.0)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (2022.3.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (0.55.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (7.0.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (1.2.5)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (1.3.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (4.64.1)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (2022.3.0)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+19.g73c2afc) (2022.5.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (21.3)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+19.g73c2afc) (3.19.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+19.g73c2afc) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (0.12.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (5.4.1)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (2.2.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.0.4)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (8.1.3)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (2.4.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (1.7.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (5.8.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (2.0.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (6.1)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+19.g73c2afc) (3.1.2)
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Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+19.g73c2afc-py3-none-any.whl size=119766 sha256=a1c79d4bf4cbee3fa09174ab91040398ed730d1b719652cb3b63fa99c92a2f74
  Stored in directory: /tmp/pip-ephem-wheel-cache-90sjv_b7/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.9.0+19.g73c2afc
test-gpu run-test: commands[4] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/dataloader.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/dataloader.git
  Cloning https://github.com/NVIDIA-Merlin/dataloader.git to /tmp/pip-req-build-0ufvmlra
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/dataloader.git /tmp/pip-req-build-0ufvmlra
  Resolved https://github.com/NVIDIA-Merlin/dataloader.git to commit d4e6c1bd9eaaaaca87b336a5da835cb5e0bc5df3
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: merlin-core>=0.8.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from merlin-dataloader==0.0.2+28.gd4e6c1b) (0.9.0+19.g73c2afc)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.10.0)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2022.3.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (0.55.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (7.0.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.2.5)
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Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (4.64.1)
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Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (21.3)
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Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (2.4.0)
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Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (65.6.3)
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Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (1.20.3)
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Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.8.0->merlin-dataloader==0.0.2+28.gd4e6c1b) (4.0.0)
Building wheels for collected packages: merlin-dataloader
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.2+28.gd4e6c1b-py3-none-any.whl size=41443 sha256=e256a04391027a65c909462e8e47b4ff39f5a903f91d766d088d7859514ae537
  Stored in directory: /tmp/pip-ephem-wheel-cache-qqi2904q/wheels/de/f5/d9/251909f4627d2920fb15548f5ffd6daf1bf24c3c56bb4977b1
Successfully built merlin-dataloader
Installing collected packages: merlin-dataloader
  Attempting uninstall: merlin-dataloader
    Found existing installation: merlin-dataloader 0.0.3
    Uninstalling merlin-dataloader-0.0.3:
      Successfully uninstalled merlin-dataloader-0.0.3
Successfully installed merlin-dataloader-0.0.2+28.gd4e6c1b
test-gpu run-test: commands[5] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, cov-4.0.0, xdist-3.1.0
collected 6 items / 1 skipped

tests/unit/test_version.py .                                             [ 16%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py .      [ 33%]

tests/unit/examples/test_scaling_criteo_merlin_models.py .               [ 50%]

tests/unit/examples/test_scaling_criteo_optimize_notebook.py .           [ 66%]

tests/unit/examples/test_z_legacy_notebooks.py ..                        [100%]


=============================== warnings summary ===============================

../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33

/usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

DASK_VERSION = LooseVersion(dask.version)


.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: 34 warnings

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

other = LooseVersion(other)


tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/nvtabular/tools/data_gen.py:126: DeprecationWarning: np.long is a deprecated alias for np.compat.long. To silence this warning, use np.compat.long by itself. In the likely event your code does not need to work on Python 2 you can use the builtin int for which np.compat.long is itself an alias. Doing this will not modify any behaviour and is safe. When replacing np.long, you may wish to use e.g. np.int64 or np.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information.

Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

col_size + 1, dtype=np.long, min_val=col.multi_min, max_val=col.multi_max


tests/unit/examples/test_z_legacy_notebooks.py: 12 warnings

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/nvtabular/tools/data_gen.py:140: DeprecationWarning: np.long is a deprecated alias for np.compat.long. To silence this warning, use np.compat.long by itself. In the likely event your code does not need to work on Python 2 you can use the builtin int for which np.compat.long is itself an alias. Doing this will not modify any behaviour and is safe. When replacing np.long, you may wish to use e.g. np.int64 or np.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information.

Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

col_size, dtype=np.long, min_val=col.min_val, max_val=col.cardinality


tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/nvtabular/loader/init.py:19: DeprecationWarning: The nvtabular.loader module has moved to a new repository, at https://github.com/NVIDIA-Merlin/dataloader .  Support for importing from nvtabular.loader is deprecated, and will be removed in a future version. Please update your imports to refer to merlinloader.

warnings.warn(


tests/unit/examples/test_z_legacy_notebooks.py::test_movielens_example

/var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/init.py:23: DeprecationWarning: The merlin.loader package has been moved to merlin.dataloader. Please update your imports, importing from merlin.loader is deprecated and will be removed in a future version

warnings.warn(


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       366    157    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          197     98    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   121     14    88%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141     25    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     24    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    110    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22      1    95%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     26    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/init.py                                   2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/_version.py                                   4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/loader_base.py                              471    104    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/tensorflow.py                               114     38    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/tf_utils.py                                  57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dataloader/torch.py                                     66     33    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    102    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  155     61    61%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     11    81%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181     96    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     36    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21      2    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    123    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37      8    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          624    335    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     12    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     11    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190     65    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18      5    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/init.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/tensorflow.py                                     1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/loader/torch.py                                          1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     16    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            17      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                                16      5    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   69      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49      8    84%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                            158    122    23%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     55    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     58    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     175     95    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30      4    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29      7    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     12    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    107    56%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 242    108    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    150    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              182    125    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                106     71    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     19    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280     71    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                64     39    39%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39      4    90%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    154    66%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    128     70    45%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198     82    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               782    350    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     43    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     44    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      2    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    108    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     22    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     31    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        102     55    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    87     29    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       302    227    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         165     79    52%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/batch_utils.py                          85     12    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     48    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     22    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    141    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     18    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31      8    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     90    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     31    69%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     39    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      4    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306      7    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     33    83%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       229     55    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82      5    94%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/init.py                                      6      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/_version.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/init.py                                  4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/dictarray.py                               172     72    58%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ensemble.py                                 46      1    98%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/node.py                                     23      2    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py                                26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/init.py                             11      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/compat.py                               32      8    75%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/faiss.py                                77     10    87%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/feast.py                               118     39    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/fil.py                                 221    125    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/operator.py                             79     32    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/pytorch.py                              49     32    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/session_filter.py                       45     28    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/softmax_sampling.py                     51     11    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/tensorflow.py                           73     23    68%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/unroll_features.py                      50     10    80%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/workflow.py                             39     11    72%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/init.py                         1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/base_runtime.py                    11      1    91%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/init.py                  1      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/init.py              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/fil.py                  95     66    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/operator.py             12      1    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/pytorch.py              62     37    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/tensorflow.py           53      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/ops/workflow.py             47     12    74%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/runtimes/triton/runtime.py                  90      4    96%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/model_registry.py                               16      8    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/init.py                              49     12    76%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py                          143     61    57%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/export.py                               268    210    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/models/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/utils.py                                 72     13    82%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/init.py                            22     20     9%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/base.py                               113     14    88%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/hugectr.py                             37     29    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/pytorch.py                             10      6    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/tensorflow.py                          32     13    59%


TOTAL                                                                                                 15719   7032    55%


=========================== short test summary info ============================

SKIPPED [1] tests/unit/examples/test_scaling_criteo_merlin_models_hugectr.py:7: could not import 'hugectr': No module named 'hugectr'

============ 6 passed, 1 skipped, 51 warnings in 503.69s (0:08:23) =============

/usr/local/lib/python3.8/dist-packages/coverage/data.py:151: CoverageWarning: Data file '/var/jenkins_home/workspace/merlin_merlin/merlin/.coverage.10.20.17.231.27726.581371' doesn't seem to be a coverage data file: cannot unpack non-iterable NoneType object

data._warn(str(exc))

___________________________________ summary ____________________________________

test-gpu: commands succeeded

congratulations :)

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/Merlin/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[workspace] $ /bin/bash /tmp/jenkins4659216823244410520.sh

@karlhigley karlhigley merged commit 8644d5c into NVIDIA-Merlin:main Dec 20, 2022
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@karlhigley karlhigley karlhigley approved these changes

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@oliverholworthy @nvidia-merlin-bot @jperez999 @karlhigley