Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Replace sklearn by scikit-learn in pip install #753

Merged
merged 2 commits into from
Dec 1, 2022
Merged

Replace sklearn by scikit-learn in pip install #753

merged 2 commits into from
Dec 1, 2022

Conversation

edknv
Copy link
Contributor

@edknv edknv commented Dec 1, 2022 

    The 'sklearn' PyPI package is deprecated, use 'scikit-learn'
    rather than 'sklearn' for pip commands.
    
    Here is how to fix this error in the main use cases:
    - use 'pip install scikit-learn' rather than 'pip install sklearn'
    - replace 'sklearn' by 'scikit-learn' in your pip requirements files
      (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...)
    - if the 'sklearn' package is used by one of your dependencies,
      it would be great if you take some time to track which package uses
      'sklearn' instead of 'scikit-learn' and report it to their issue tracker
    - as a last resort, set the environment variable
      SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error

@edknv edknv added chore Infrastructure update ci labels Dec 1, 2022
@github-actions
Copy link

github-actions bot commented Dec 1, 2022

Documentation preview

https://nvidia-merlin.github.io/Merlin/review/pr-753

@nvidia-merlin-bot
Copy link
Contributor

Click to view CI Results
GitHub pull request #753 of commit 7acf4342f29bb7779aaf18f4c6b2646095a54af8, no merge conflicts.
Running as SYSTEM
Setting status of 7acf4342f29bb7779aaf18f4c6b2646095a54af8 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/667/ 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/753/*:refs/remotes/origin/pr/753/* # timeout=10
 > git rev-parse 7acf4342f29bb7779aaf18f4c6b2646095a54af8^{commit} # timeout=10
Checking out Revision 7acf4342f29bb7779aaf18f4c6b2646095a54af8 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 7acf4342f29bb7779aaf18f4c6b2646095a54af8 # timeout=10
Commit message: "Replace sklearn by scikit-learn in pip install"
 > git rev-list --no-walk d1c3e5e44843938bdb221bac17cfedced3ac040b # timeout=10
[workspace] $ /bin/bash /tmp/jenkins4807317531006039752.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==1.8.1,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==1.27.20,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==1.29.20,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==6.5.0,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==3.0.4,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==3.0.2,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==1.4.44,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='2837350953'
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-spjv18fi
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-spjv18fi
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit 7472e9999a909e4a712595850e415f0ec1c5a901
  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: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+23.g7472e99) (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 3.6 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+23.g7472e99) (2.22.0)
Collecting treelite==2.4.0
  Downloading treelite-2.4.0-py3-none-manylinux2014_x86_64.whl (852 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 852.7/852.7 kB 16.8 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+23.g7472e99) (0.3.0+12.g78ecddd)
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (7.0.0)
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+23.g7472e99) (2022.3.0)
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+23.g7472e99) (1.3.5)
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+23.g7472e99) (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+23.g7472e99) (21.3)
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+23.g7472e99) (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+23.g7472e99) (2022.3.0)
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+23.g7472e99) (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+23.g7472e99) (3.19.5)
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+23.g7472e99) (0.55.1)
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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (0.12.0)
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+23.g7472e99) (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->merlin-systems==0.7.0+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (5.4.1)
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+23.g7472e99) (6.1)
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+23.g7472e99) (8.1.3)
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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (2.4.0)
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+23.g7472e99) (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->merlin-systems==0.7.0+23.g7472e99) (65.5.1)
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 99.9 MB/s eta 0:00:00
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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99-py3-none-any.whl size=99186 sha256=a69822c8cd11f9c439e1c2ce726e8695ac4edcebe22f1700d44a8ac7791d59bb
  Stored in directory: /tmp/pip-ephem-wheel-cache-fk7xskf8/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+23.g7472e99 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-mgy_an02
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-mgy_an02
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit e08a72c9c59416a9000e62d25548eb08367fc3fa
  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+61.ge08a72c9) (0.3.0+12.g78ecddd)
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+61.ge08a72c9) (7.0.0)
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+61.ge08a72c9) (2022.3.0)
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+61.ge08a72c9) (1.3.5)
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+61.ge08a72c9) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (21.3)
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+61.ge08a72c9) (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+61.ge08a72c9) (2022.3.0)
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+61.ge08a72c9) (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+61.ge08a72c9) (3.19.5)
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+61.ge08a72c9) (0.55.1)
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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (0.12.0)
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+61.ge08a72c9) (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->merlin-models==0.9.0+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (5.4.1)
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+61.ge08a72c9) (6.1)
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+61.ge08a72c9) (8.1.3)
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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (2.4.0)
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+61.ge08a72c9) (1.0.4)
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+61.ge08a72c9) (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+61.ge08a72c9) (65.5.1)
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+61.ge08a72c9) (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->merlin-models==0.9.0+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (4.0.0)
Building wheels for collected packages: merlin-models
  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+61.ge08a72c9-py3-none-any.whl size=367208 sha256=cdc49e593da1a0dc604a45e04b4a85c952a4e2f5a812ef74ace2e74f7a898773
  Stored in directory: /tmp/pip-ephem-wheel-cache-9kkl9v72/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
Successfully built merlin-models
Installing collected packages: 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-models-0.9.0+61.ge08a72c9
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-avtt4dhl
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-avtt4dhl
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit 3bcd555a7fdc1cdaca47379676c2f111750352a8
  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)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 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: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+12.g3bcd555a) (0.3.0+12.g78ecddd)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+12.g3bcd555a) (1.8.1)
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+12.g3bcd555a) (7.0.0)
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+12.g3bcd555a) (2022.3.0)
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+12.g3bcd555a) (1.3.5)
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+12.g3bcd555a) (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+12.g3bcd555a) (21.3)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (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+12.g3bcd555a) (2022.3.0)
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+12.g3bcd555a) (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+12.g3bcd555a) (3.19.5)
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+12.g3bcd555a) (0.55.1)
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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (0.12.0)
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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (5.4.1)
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+12.g3bcd555a) (6.1)
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+12.g3bcd555a) (8.1.3)
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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (2.4.0)
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+12.g3bcd555a) (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+12.g3bcd555a) (65.5.1)
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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (4.0.0)
Building wheels for collected packages: nvtabular, merlin-dataloader
  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+12.g3bcd555a-cp38-cp38-linux_x86_64.whl size=257601 sha256=16cf012b2fd5fdf4684eeb4e89db5cd8a0ba7e4d396ab440a9afd650f5372554
  Stored in directory: /tmp/pip-ephem-wheel-cache-1ep1xc32/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
  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=4e57313f31de1d767da9711c4d8ed6179fe7cea51634beb47f0fe72c1fc03dae
  Stored in directory: /tmp/pip-ephem-wheel-cache-1ep1xc32/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built nvtabular merlin-dataloader
Installing collected packages: merlin-dataloader, 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 merlin-dataloader-0.0.3 nvtabular-1.6.0+12.g3bcd555a
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-aoecmbka
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-aoecmbka
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 4f73ff5bd4121c1acaabdc01a123af4f986ffc78
  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+14.g4f73ff5) (7.0.0)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+14.g4f73ff5) (2022.5.0)
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+14.g4f73ff5) (1.3.5)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+14.g4f73ff5) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (21.3)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (2022.3.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (3.19.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+14.g4f73ff5) (0.55.1)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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==0.9.0+14.g4f73ff5) (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+14.g4f73ff5) (5.4.1)
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+14.g4f73ff5) (6.1)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (8.1.3)
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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (2.4.0)
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+14.g4f73ff5) (1.0.4)
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+14.g4f73ff5) (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+14.g4f73ff5) (65.5.1)
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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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==0.9.0+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5-py3-none-any.whl size=119010 sha256=5d182c423a0384b559a60ac6881a5ff6e68272d952b0498150ffe510c82c5c6e
  Stored in directory: /tmp/pip-ephem-wheel-cache-uy9y06yq/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+14.g4f73ff5
test-gpu run-test: commands[4] | 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, xdist-3.0.2, cov-4.0.0
collected 3 items

tests/unit/test_version.py .                                             [ 33%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py F      [ 66%]

tests/unit/examples/test_scaling_criteo_merlin_models.py F               [100%]WARNING: Failed to generate report: No data to report.


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

__________________________________ test_func ___________________________________


self = <testbook.client.TestbookNotebookClient object at 0x7f03179638e0>

cell = {'cell_type': 'code', 'execution_count': 7, 'id': 'b44b3378-7297-4946-a271-742a9239bc3e', 'metadata': {'execution': {'...ron.get("NUM_ROWS", 100_000)\ntrain_raw, valid_raw = generate_data("aliccp-raw", int(NUM_ROWS), set_sizes=(0.7, 0.3))'}

cell_index = 16, 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





E           asyncio.exceptions.CancelledError


../../../.local/lib/python3.8/site-packages/nbclient/client.py:949: CancelledError


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()





tests/unit/examples/test_building_deploying_multi_stage_RecSys.py:32:




../../../.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()




self = <testbook.client.TestbookNotebookClient object at 0x7f03179638e0>

cell = {'cell_type': 'code', 'execution_count': 7, 'id': 'b44b3378-7297-4946-a271-742a9239bc3e', 'metadata': {'execution': {'...ron.get("NUM_ROWS", 100_000)\ntrain_raw, valid_raw = generate_data("aliccp-raw", int(NUM_ROWS), set_sizes=(0.7, 0.3))'}

cell_index = 16, 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")





E           nbclient.exceptions.DeadKernelError: Kernel died


../../../.local/lib/python3.8/site-packages/nbclient/client.py:953: DeadKernelError

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

2022-12-01 17:39:09.027605: 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.

2022-12-01 17:39:13.174530: 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

2022-12-01 17:39:13.175304: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 14524 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-01 17:39:13.175931: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 14524 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-01 17:39:13.176515: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 14524 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

2022-12-01 17:39:13.183346: 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

2022-12-01 17:39:13.186210: 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

2022-12-01 17:39:13.189880: 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

terminate called after throwing an instance of 'rmm::out_of_memory'

what():  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

[10:07586] *** Process received signal ***

[10:07586] Signal: Aborted (6)

[10:07586] Signal code:  (-6)

[10:07586] [ 0] /usr/lib/x86_64-linux-gnu/libc.so.6(+0x43090)[0x7f0bb5bd0090]

[10:07586] [ 1] /usr/lib/x86_64-linux-gnu/libc.so.6(gsignal+0xcb)[0x7f0bb5bd000b]

[10:07586] [ 2] /usr/lib/x86_64-linux-gnu/libc.so.6(abort+0x12b)[0x7f0bb5baf859]

[10:07586] [ 3] /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0x9e911)[0x7f0bb4133911]

[10:07586] [ 4] /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0xaa38c)[0x7f0bb413f38c]

[10:07586] [ 5] /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0xaa3f7)[0x7f0bb413f3f7]

[10:07586] [ 6] /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0xaa6a9)[0x7f0bb413f6a9]

[10:07586] [ 7] /usr/local/lib/python3.8/dist-packages/rmm/_lib/device_buffer.cpython-38-x86_64-linux-gnu.so(_ZN3rmm2mr20cuda_memory_resource11do_allocateEmNS_16cuda_stream_viewE+0x4e8)[0x7f0ac2e24948]

[10:07586] [ 8] /lib/libcudf.so(_ZN3rmm13device_bufferC2EPKvmNS_16cuda_stream_viewEPNS_2mr22device_memory_resourceE+0x4a)[0x7f0a67d959fa]

[10:07586] [ 9] /lib/libcudf.so(_ZN4cudf41_GLOBAL__N__013c37fe_9_column_cu_dc372a8a23create_column_from_viewclIiLPv0EEESt10unique_ptrINS_6columnESt14default_deleteIS5_EEv+0x199)[0x7f0a67d97a39]

[10:07586] [10] /lib/libcudf.so(_ZN4cudf6columnC1ENS_11column_viewEN3rmm16cuda_stream_viewEPNS2_2mr22device_memory_resourceE+0x4e3)[0x7f0a67d94fc3]

[10:07586] [11] /usr/local/lib/python3.8/dist-packages/cudf/_lib/copying.cpython-38-x86_64-linux-gnu.so(+0x62e18)[0x7f0ab08c7e18]

[10:07586] [12] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x5c64c0]

[10:07586] [13] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x575268]

[10:07586] [14] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalFrameDefault+0x8758)[0x573af8]

[10:07586] [15] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalCodeWithName+0x26a)[0x569dba]

[10:07586] [16] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x50bca0]

[10:07586] [17] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x575268]

[10:07586] [18] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalFrameDefault+0x86f9)[0x573a99]

[10:07586] [19] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalCodeWithName+0x26a)[0x569dba]

[10:07586] [20] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyFunction_Vectorcall+0x393)[0x5f6eb3]

[10:07586] [21] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x575268]

[10:07586] [22] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalFrameDefault+0x90b0)[0x574450]

[10:07586] [23] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalCodeWithName+0x26a)[0x569dba]

[10:07586] [24] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x50bca0]

[10:07586] [25] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x575268]

[10:07586] [26] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalFrameDefault+0x86f9)[0x573a99]

[10:07586] [27] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalCodeWithName+0x26a)[0x569dba]

[10:07586] [28] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x50bca0]

[10:07586] [29] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x575268]

[10:07586] *** End of error message ***

------------------------------ Captured log call -------------------------------

ERROR    traitlets:client.py:808 Kernel died while waiting for execute reply.

__________________________________ 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 0x7f03f53a75b0>

cell = {'cell_type': 'code', 'execution_count': 7, 'metadata': {'jupyter': {'outputs_hidden': False}, 'execution': {'iopub.st...pool_size=(device_pool_size // 256) * 256\n    )\n\n# Create the distributed client\nclient = Client(cluster)\nclient'}

cell_index = 12

exec_reply = {'buffers': [], 'content': {'ename': 'MemoryError', 'engine_info': {'engine_id': -1, 'engine_uuid': '623631de-0f1e-485...e, 'engine': '623631de-0f1e-485d-9784-33b1f81273c0', 'started': '2022-12-01T17:39:23.049526Z', '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           # Dask dashboard

E           dashboard_port = "8787"

E

E           # Deploy a Single-Machine Multi-GPU Cluster

E           protocol = "tcp"  # "tcp" or "ucx"

E           if numba.cuda.is_available():

E               NUM_GPUS = list(range(len(numba.cuda.gpus)))

E           else:

E               NUM_GPUS = []

E           visible_devices = ",".join([str(n) for n in NUM_GPUS])  # Select devices to place workers

E           device_limit_frac = 0.7  # Spill GPU-Worker memory to host at this limit.

E           device_pool_frac = 0.8

E           part_mem_frac = 0.15

E

E           # Use total device size to calculate args.device_limit_frac

E           device_size = device_mem_size(kind="total")

E           device_limit = int(device_limit_frac * device_size)

E           device_pool_size = int(device_pool_frac * device_size)

E           part_size = int(part_mem_frac * device_size)

E

E           # Check if any device memory is already occupied

E           for dev in visible_devices.split(","):

E               fmem = pynvml_mem_size(kind="free", index=int(dev))

E               used = (device_size - fmem) / 1e9

E               if used > 1.0:

E                   warnings.warn(f"BEWARE - {used} GB is already occupied on device {int(dev)}!")

E

E           cluster = None  # (Optional) Specify existing scheduler port

E           if cluster is None:

E               cluster = LocalCUDACluster(

E                   protocol=protocol,

E                   n_workers=len(visible_devices.split(",")),

E                   CUDA_VISIBLE_DEVICES=visible_devices,

E                   device_memory_limit=device_limit,

E                   local_directory=dask_workdir,

E                   dashboard_address=":" + dashboard_port,

E                   rmm_pool_size=(device_pool_size // 256) * 256

E               )

E

E           # Create the distributed client

E           client = Client(cluster)

E           client

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

E

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

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

E           Cell �[0;32mIn [7], line 30�[0m

E           �[1;32m     28�[0m cluster �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m  �[38;5;66;03m# (Optional) Specify existing scheduler port�[39;00m

E           �[1;32m     29�[0m �[38;5;28;01mif�[39;00m cluster �[38;5;129;01mis�[39;00m �[38;5;28;01mNone�[39;00m:

E           �[0;32m---> 30�[0m     cluster �[38;5;241m=�[39m �[43mLocalCUDACluster�[49m�[43m(�[49m

E           �[1;32m     31�[0m �[43m        �[49m�[43mprotocol�[49m�[38;5;241;43m=�[39;49m�[43mprotocol�[49m�[43m,�[49m

E           �[1;32m     32�[0m �[43m        �[49m�[43mn_workers�[49m�[38;5;241;43m=�[39;49m�[38;5;28;43mlen�[39;49m�[43m(�[49m�[43mvisible_devices�[49m�[38;5;241;43m.�[39;49m�[43msplit�[49m�[43m(�[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m,�[39;49m�[38;5;124;43m"�[39;49m�[43m)�[49m�[43m)�[49m�[43m,�[49m

E           �[1;32m     33�[0m �[43m        �[49m�[43mCUDA_VISIBLE_DEVICES�[49m�[38;5;241;43m=�[39;49m�[43mvisible_devices�[49m�[43m,�[49m

E           �[1;32m     34�[0m �[43m        �[49m�[43mdevice_memory_limit�[49m�[38;5;241;43m=�[39;49m�[43mdevice_limit�[49m�[43m,�[49m

E           �[1;32m     35�[0m �[43m        �[49m�[43mlocal_directory�[49m�[38;5;241;43m=�[39;49m�[43mdask_workdir�[49m�[43m,�[49m

E           �[1;32m     36�[0m �[43m        �[49m�[43mdashboard_address�[49m�[38;5;241;43m=�[39;49m�[38;5;124;43m"�[39;49m�[38;5;124;43m:�[39;49m�[38;5;124;43m"�[39;49m�[43m �[49m�[38;5;241;43m+�[39;49m�[43m �[49m�[43mdashboard_port�[49m�[43m,�[49m

E           �[1;32m     37�[0m �[43m        �[49m�[43mrmm_pool_size�[49m�[38;5;241;43m=�[39;49m�[43m(�[49m�[43mdevice_pool_size�[49m�[43m �[49m�[38;5;241;43m/�[39;49m�[38;5;241;43m/�[39;49m�[43m �[49m�[38;5;241;43m256�[39;49m�[43m)�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[43m �[49m�[38;5;241;43m256�[39;49m

E           �[1;32m     38�[0m �[43m    �[49m�[43m)�[49m

E           �[1;32m     40�[0m �[38;5;66;03m# Create the distributed client�[39;00m

E           �[1;32m     41�[0m client �[38;5;241m=�[39m Client(cluster)

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/dask_cuda/local_cuda_cluster.py:367�[0m, in �[0;36mLocalCUDACluster.__init__�[0;34m(self, CUDA_VISIBLE_DEVICES, n_workers, threads_per_worker, memory_limit, device_memory_limit, data, local_directory, shared_filesystem, protocol, enable_tcp_over_ucx, enable_infiniband, enable_nvlink, enable_rdmacm, rmm_pool_size, rmm_maximum_pool_size, rmm_managed_memory, rmm_async, rmm_log_directory, rmm_track_allocations, jit_unspill, log_spilling, worker_class, pre_import, **kwargs)�[0m

E           �[1;32m    365�[0m �[38;5;28mself�[39m�[38;5;241m.�[39mcuda_visible_devices �[38;5;241m=�[39m CUDA_VISIBLE_DEVICES

E           �[1;32m    366�[0m �[38;5;28mself�[39m�[38;5;241m.�[39mscale(n_workers)

E           �[0;32m--> 367�[0m �[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43msync�[49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43m_correct_state�[49m�[43m)�[49m

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:309�[0m, in �[0;36mSyncMethodMixin.sync�[0;34m(self, func, asynchronous, callback_timeout, args, **kwargs)�[0m

E           �[1;32m    307�[0m     �[38;5;28;01mreturn�[39;00m future

E           �[1;32m    308�[0m �[38;5;28;01melse�[39;00m:

E           �[0;32m--> 309�[0m     �[38;5;28;01mreturn�[39;00m �[43msync�[49m�[43m(�[49m

E           �[1;32m    310�[0m �[43m        �[49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mloop�[49m�[43m,�[49m�[43m �[49m�[43mfunc�[49m�[43m,�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[43margs�[49m�[43m,�[49m�[43m �[49m�[43mcallback_timeout�[49m�[38;5;241;43m=�[39;49m�[43mcallback_timeout�[49m�[43m,�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[38;5;241;43m*�[39;49m�[43mkwargs�[49m

E           �[1;32m    311�[0m �[43m    �[49m�[43m)�[49m

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:376�[0m, in �[0;36msync�[0;34m(loop, func, callback_timeout, *args, **kwargs)�[0m

E           �[1;32m    374�[0m �[38;5;28;01mif�[39;00m error:

E           �[1;32m    375�[0m     typ, exc, tb �[38;5;241m=�[39m error

E           �[0;32m--> 376�[0m     �[38;5;28;01mraise�[39;00m exc�[38;5;241m.�[39mwith_traceback(tb)

E           �[1;32m    377�[0m �[38;5;28;01melse�[39;00m:

E           �[1;32m    378�[0m     �[38;5;28;01mreturn�[39;00m result

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:349�[0m, in �[0;36msync..f�[0;34m()�[0m

E           �[1;32m    347�[0m         future �[38;5;241m=�[39m asyncio�[38;5;241m.�[39mwait_for(future, callback_timeout)

E           �[1;32m    348�[0m     future �[38;5;241m=�[39m asyncio�[38;5;241m.�[39mensure_future(future)

E           �[0;32m--> 349�[0m     result �[38;5;241m=�[39m �[38;5;28;01myield�[39;00m future

E           �[1;32m    350�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mException�[39;00m:

E           �[1;32m    351�[0m     error �[38;5;241m=�[39m sys�[38;5;241m.�[39mexc_info()

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg/tornado/gen.py:762�[0m, in �[0;36mRunner.run�[0;34m(self)�[0m

E           �[1;32m    759�[0m exc_info �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E           �[1;32m    761�[0m �[38;5;28;01mtry�[39;00m:

E           �[0;32m--> 762�[0m     value �[38;5;241m=�[39m �[43mfuture�[49m�[38;5;241;43m.�[39;49m�[43mresult�[49m�[43m(�[49m�[43m)�[49m

E           �[1;32m    763�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mException�[39;00m:

E           �[1;32m    764�[0m     exc_info �[38;5;241m=�[39m sys�[38;5;241m.�[39mexc_info()

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/deploy/spec.py:352�[0m, in �[0;36mSpecCluster._correct_state_internal�[0;34m(self)�[0m

E           �[1;32m    350�[0m     �[38;5;28;01mfor�[39;00m w �[38;5;129;01min�[39;00m workers:

E           �[1;32m    351�[0m         w�[38;5;241m.�[39m_cluster �[38;5;241m=�[39m weakref�[38;5;241m.�[39mref(�[38;5;28mself�[39m)

E           �[0;32m--> 352�[0m         �[38;5;28;01mawait�[39;00m w  �[38;5;66;03m# for tornado gen.coroutine support�[39;00m

E           �[1;32m    353�[0m �[38;5;28mself�[39m�[38;5;241m.�[39mworkers�[38;5;241m.�[39mupdate(�[38;5;28mdict�[39m(�[38;5;28mzip�[39m(to_open, workers)))

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/core.py:299�[0m, in �[0;36mServer.await.._�[0;34m()�[0m

E           �[1;32m    293�[0m             �[38;5;28;01mraise�[39;00m �[38;5;167;01mTimeoutError�[39;00m(

E           �[1;32m    294�[0m                 �[38;5;124m"�[39m�[38;5;132;01m{}�[39;00m�[38;5;124m failed to start in �[39m�[38;5;132;01m{}�[39;00m�[38;5;124m seconds�[39m�[38;5;124m"�[39m�[38;5;241m.�[39mformat(

E           �[1;32m    295�[0m                     �[38;5;28mtype�[39m(�[38;5;28mself�[39m)�[38;5;241m.�[39m�[38;5;18m__name__�[39m, timeout

E           �[1;32m    296�[0m                 )

E           �[1;32m    297�[0m             )

E           �[1;32m    298�[0m     �[38;5;28;01melse�[39;00m:

E           �[0;32m--> 299�[0m         �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mstart()

E           �[1;32m    300�[0m         �[38;5;28mself�[39m�[38;5;241m.�[39mstatus �[38;5;241m=�[39m Status�[38;5;241m.�[39mrunning

E           �[1;32m    301�[0m �[38;5;28;01mreturn�[39;00m �[38;5;28mself�[39m

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/nanny.py:347�[0m, in �[0;36mNanny.start�[0;34m(self)�[0m

E           �[1;32m    344�[0m     �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mplugin_add(plugin�[38;5;241m=�[39mplugin, name�[38;5;241m=�[39mname)

E           �[1;32m    346�[0m logger�[38;5;241m.�[39minfo(�[38;5;124m"�[39m�[38;5;124m        Start Nanny at: �[39m�[38;5;132;01m%r�[39;00m�[38;5;124m"�[39m, �[38;5;28mself�[39m�[38;5;241m.�[39maddress)

E           �[0;32m--> 347�[0m response �[38;5;241m=�[39m �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39minstantiate()

E           �[1;32m    348�[0m �[38;5;28;01mif�[39;00m response �[38;5;241m==�[39m Status�[38;5;241m.�[39mrunning:

E           �[1;32m    349�[0m     �[38;5;28;01massert�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mworker_address

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/nanny.py:430�[0m, in �[0;36mNanny.instantiate�[0;34m(self)�[0m

E           �[1;32m    428�[0m �[38;5;28;01melse�[39;00m:

E           �[1;32m    429�[0m     �[38;5;28;01mtry�[39;00m:

E           �[0;32m--> 430�[0m         result �[38;5;241m=�[39m �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mprocess�[38;5;241m.�[39mstart()

E           �[1;32m    431�[0m     �[38;5;28;01mexcept�[39;00m �[38;5;167;01mException�[39;00m:

E           �[1;32m    432�[0m         �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mclose()

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/nanny.py:685�[0m, in �[0;36mWorkerProcess.start�[0;34m(self)�[0m

E           �[1;32m    683�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mstatus

E           �[1;32m    684�[0m �[38;5;28;01mtry�[39;00m:

E           �[0;32m--> 685�[0m     msg �[38;5;241m=�[39m �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39m_wait_until_connected(uid)

E           �[1;32m    686�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mException�[39;00m:

E           �[1;32m    687�[0m     �[38;5;28mself�[39m�[38;5;241m.�[39mstatus �[38;5;241m=�[39m Status�[38;5;241m.�[39mfailed

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/nanny.py:803�[0m, in �[0;36mWorkerProcess._wait_until_connected�[0;34m(self, uid)�[0m

E           �[1;32m    799�[0m �[38;5;28;01mif�[39;00m �[38;5;124m"�[39m�[38;5;124mexception�[39m�[38;5;124m"�[39m �[38;5;129;01min�[39;00m msg:

E           �[1;32m    800�[0m     logger�[38;5;241m.�[39merror(

E           �[1;32m    801�[0m         �[38;5;124m"�[39m�[38;5;124mFailed while trying to start worker process: �[39m�[38;5;132;01m%s�[39;00m�[38;5;124m"�[39m, msg[�[38;5;124m"�[39m�[38;5;124mexception�[39m�[38;5;124m"�[39m]

E           �[1;32m    802�[0m     )

E           �[0;32m--> 803�[0m     �[38;5;28;01mraise�[39;00m msg[�[38;5;124m"�[39m�[38;5;124mexception�[39m�[38;5;124m"�[39m]

E           �[1;32m    804�[0m �[38;5;28;01melse�[39;00m:

E           �[1;32m    805�[0m     �[38;5;28;01mreturn�[39;00m msg

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/nanny.py:869�[0m, in �[0;36mrun�[0;34m()�[0m

E           �[1;32m    865�[0m �[38;5;124;03m"""�[39;00m

E           �[1;32m    866�[0m �[38;5;124;03mTry to start worker and inform parent of outcome.�[39;00m

E           �[1;32m    867�[0m �[38;5;124;03m"""�[39;00m

E           �[1;32m    868�[0m �[38;5;28;01mtry�[39;00m:

E           �[0;32m--> 869�[0m     �[38;5;28;01mawait�[39;00m worker

E           �[1;32m    870�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mException�[39;00m �[38;5;28;01mas�[39;00m e:

E           �[1;32m    871�[0m     logger�[38;5;241m.�[39mexception(�[38;5;124m"�[39m�[38;5;124mFailed to start worker�[39m�[38;5;124m"�[39m)

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/core.py:299�[0m, in �[0;36m_�[0;34m()�[0m

E           �[1;32m    293�[0m             �[38;5;28;01mraise�[39;00m �[38;5;167;01mTimeoutError�[39;00m(

E           �[1;32m    294�[0m                 �[38;5;124m"�[39m�[38;5;132;01m{}�[39;00m�[38;5;124m failed to start in �[39m�[38;5;132;01m{}�[39;00m�[38;5;124m seconds�[39m�[38;5;124m"�[39m�[38;5;241m.�[39mformat(

E           �[1;32m    295�[0m                     �[38;5;28mtype�[39m(�[38;5;28mself�[39m)�[38;5;241m.�[39m�[38;5;18m__name__�[39m, timeout

E           �[1;32m    296�[0m                 )

E           �[1;32m    297�[0m             )

E           �[1;32m    298�[0m     �[38;5;28;01melse�[39;00m:

E           �[0;32m--> 299�[0m         �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mstart()

E           �[1;32m    300�[0m         �[38;5;28mself�[39m�[38;5;241m.�[39mstatus �[38;5;241m=�[39m Status�[38;5;241m.�[39mrunning

E           �[1;32m    301�[0m �[38;5;28;01mreturn�[39;00m �[38;5;28mself�[39m

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/worker.py:1372�[0m, in �[0;36mstart�[0;34m()�[0m

E           �[1;32m   1370�[0m         �[38;5;28;01mfor�[39;00m exc �[38;5;129;01min�[39;00m plugins_exceptions:

E           �[1;32m   1371�[0m             logger�[38;5;241m.�[39merror(�[38;5;28mrepr�[39m(exc))

E           �[0;32m-> 1372�[0m     �[38;5;28;01mraise�[39;00m plugins_exceptions[�[38;5;241m0�[39m]

E           �[1;32m   1374�[0m �[38;5;28mself�[39m�[38;5;241m.�[39m_pending_plugins �[38;5;241m=�[39m ()

E           �[1;32m   1376�[0m �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39m_register_with_scheduler()

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/worker.py:3248�[0m, in �[0;36mplugin_add�[0;34m()�[0m

E           �[1;32m   3246�[0m �[38;5;28;01mif�[39;00m �[38;5;28mhasattr�[39m(plugin, �[38;5;124m"�[39m�[38;5;124msetup�[39m�[38;5;124m"�[39m):

E           �[1;32m   3247�[0m     �[38;5;28;01mtry�[39;00m:

E           �[0;32m-> 3248�[0m         result �[38;5;241m=�[39m plugin�[38;5;241m.�[39msetup(worker�[38;5;241m=�[39m�[38;5;28mself�[39m)

E           �[1;32m   3249�[0m         �[38;5;28;01mif�[39;00m isawaitable(result):

E           �[1;32m   3250�[0m             result �[38;5;241m=�[39m �[38;5;28;01mawait�[39;00m result

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py:78�[0m, in �[0;36msetup�[0;34m()�[0m

E           �[1;32m     74�[0m     �[38;5;28;01mimport�[39;00m �[38;5;21;01mrmm�[39;00m

E           �[1;32m     76�[0m     pool_allocator �[38;5;241m=�[39m �[38;5;28;01mFalse�[39;00m �[38;5;28;01mif�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39minitial_pool_size �[38;5;129;01mis�[39;00m �[38;5;28;01mNone�[39;00m �[38;5;28;01melse�[39;00m �[38;5;28;01mTrue�[39;00m

E           �[0;32m---> 78�[0m     rmm�[38;5;241m.�[39mreinitialize(

E           �[1;32m     79�[0m         pool_allocator�[38;5;241m=�[39mpool_allocator,

E           �[1;32m     80�[0m         managed_memory�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mmanaged_memory,

E           �[1;32m     81�[0m         initial_pool_size�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39minitial_pool_size,

E           �[1;32m     82�[0m         maximum_pool_size�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mmaximum_pool_size,

E           �[1;32m     83�[0m         logging�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mlogging,

E           �[1;32m     84�[0m         log_file_name�[38;5;241m=�[39mget_rmm_log_file_name(

E           �[1;32m     85�[0m             worker, �[38;5;28mself�[39m�[38;5;241m.�[39mlogging, �[38;5;28mself�[39m�[38;5;241m.�[39mlog_directory

E           �[1;32m     86�[0m         ),

E           �[1;32m     87�[0m     )

E           �[1;32m     88�[0m �[38;5;28;01mif�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mrmm_track_allocations:

E           �[1;32m     89�[0m     �[38;5;28;01mimport�[39;00m �[38;5;21;01mrmm�[39;00m

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/rmm/rmm.py:85�[0m, in �[0;36mreinitialize�[0;34m()�[0m

E           �[1;32m     32�[0m �[38;5;28;01mdef�[39;00m �[38;5;21mreinitialize�[39m(

E           �[1;32m     33�[0m     pool_allocator�[38;5;241m=�[39m�[38;5;28;01mFalse�[39;00m,

E           �[1;32m     34�[0m     managed_memory�[38;5;241m=�[39m�[38;5;28;01mFalse�[39;00m,

E           �[0;32m   (...)�[0m

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

E           �[1;32m     40�[0m ):

E           �[1;32m     41�[0m     �[38;5;124;03m"""�[39;00m

E           �[1;32m     42�[0m �[38;5;124;03m    Finalizes and then initializes RMM using the options passed. Using memory�[39;00m

E           �[1;32m     43�[0m �[38;5;124;03m    from a previous initialization of RMM is undefined behavior and should be�[39;00m

E           �[0;32m   (...)�[0m

E           �[1;32m     83�[0m �[38;5;124;03m    corresponding to each device.�[39;00m

E           �[1;32m     84�[0m �[38;5;124;03m    """�[39;00m

E           �[0;32m---> 85�[0m     rmm�[38;5;241m.�[39mmr�[38;5;241m.�[39m_initialize(

E           �[1;32m     86�[0m         pool_allocator�[38;5;241m=�[39mpool_allocator,

E           �[1;32m     87�[0m         managed_memory�[38;5;241m=�[39mmanaged_memory,

E           �[1;32m     88�[0m         initial_pool_size�[38;5;241m=�[39minitial_pool_size,

E           �[1;32m     89�[0m         maximum_pool_size�[38;5;241m=�[39mmaximum_pool_size,

E           �[1;32m     90�[0m         devices�[38;5;241m=�[39mdevices,

E           �[1;32m     91�[0m         logging�[38;5;241m=�[39mlogging,

E           �[1;32m     92�[0m         log_file_name�[38;5;241m=�[39mlog_file_name,

E           �[1;32m     93�[0m     )

E

E           File �[0;32mmemory_resource.pyx:823�[0m, in �[0;36mrmm._lib.memory_resource._initialize�[0;34m()�[0m

E

E           File �[0;32mmemory_resource.pyx:883�[0m, in �[0;36mrmm._lib.memory_resource._initialize�[0;34m()�[0m

E

E           File �[0;32mmemory_resource.pyx:342�[0m, in �[0;36mrmm._lib.memory_resource.PoolMemoryResource.__cinit__�[0;34m()�[0m

E

E           �[0;31mMemoryError�[0m: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

E           MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded


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

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

2022-12-01 17:39:26,012 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:26,021 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:26,125 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:26,189 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:26,614 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:26,615 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:29,281 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-st8gfqtj', purging

2022-12-01 17:39:29,282 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:29,551 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:29,552 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:32,413 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-yh5fn5xs', purging

2022-12-01 17:39:32,414 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:32,431 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:32,446 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:32,453 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:32,948 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:32,949 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:33,059 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:33,060 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:33,066 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:33,067 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:33,077 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:33,078 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:35,735 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-lvwkrp03', purging

2022-12-01 17:39:35,736 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-3osstbwk', purging

2022-12-01 17:39:35,736 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-5sp13rwd', purging

2022-12-01 17:39:35,736 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-6eznws87', purging

2022-12-01 17:39:35,737 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:36,008 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:36,009 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

/usr/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 57 leaked semaphore objects to clean up at shutdown

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


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


========================= 2 failed, 1 passed in 44.98s =========================

/usr/local/lib/python3.8/dist-packages/coverage/inorout.py:519: CoverageWarning: Module merlin was never imported. (module-not-imported)

self.warn(f"Module {pkg} was never imported.", slug="module-not-imported")

/usr/local/lib/python3.8/dist-packages/coverage/control.py:801: CoverageWarning: No data was collected. (no-data-collected)

self._warn("No data was collected.", slug="no-data-collected")

/usr/local/lib/python3.8/dist-packages/coverage/data.py:130: CoverageWarning: Data file '/var/jenkins_home/workspace/merlin_merlin/merlin/.coverage.10.20.17.231.7788.860713' doesn't seem to be a coverage data file: cannot unpack non-iterable NoneType object

data._warn(str(exc))

/usr/local/lib/python3.8/dist-packages/pytest_cov/plugin.py:297: CovReportWarning: Failed to generate report: No data to report.


self.cov_controller.finish()

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/jenkins15526035339903629443.sh

@nvidia-merlin-bot
Copy link
Contributor

Click to view CI Results
GitHub pull request #753 of commit 84c9f5de5fd846a95d252d6a3ecf63ddfe6f0fb4, no merge conflicts.
Running as SYSTEM
Setting status of 84c9f5de5fd846a95d252d6a3ecf63ddfe6f0fb4 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/668/ 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/753/*:refs/remotes/origin/pr/753/* # timeout=10
 > git rev-parse 84c9f5de5fd846a95d252d6a3ecf63ddfe6f0fb4^{commit} # timeout=10
Checking out Revision 84c9f5de5fd846a95d252d6a3ecf63ddfe6f0fb4 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 84c9f5de5fd846a95d252d6a3ecf63ddfe6f0fb4 # timeout=10
Commit message: "Merge branch 'main' into sklearn_to_scikit_learn"
 > git rev-list --no-walk 7acf4342f29bb7779aaf18f4c6b2646095a54af8 # timeout=10
[workspace] $ /bin/bash /tmp/jenkins14342463504765647450.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==1.8.1,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==1.27.20,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==1.29.20,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==6.5.0,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==3.0.4,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==3.0.2,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==1.4.44,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='1125575591'
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-fvdzekh6
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-fvdzekh6
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit 7472e9999a909e4a712595850e415f0ec1c5a901
  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+23.g7472e99) (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+23.g7472e99) (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 7.2 MB/s eta 0:00:00
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 145.9 MB/s eta 0:00:00
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (0.55.1)
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+23.g7472e99) (1.10.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (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+23.g7472e99) (1.3.5)
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+23.g7472e99) (1.2.5)
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+23.g7472e99) (3.19.5)
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+23.g7472e99) (7.0.0)
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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (1.2.0)
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+23.g7472e99) (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->merlin-systems==0.7.0+23.g7472e99) (5.4.1)
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+23.g7472e99) (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->merlin-systems==0.7.0+23.g7472e99) (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+23.g7472e99) (2022.5.0)
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+23.g7472e99) (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+23.g7472e99) (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->merlin-systems==0.7.0+23.g7472e99) (6.1)
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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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-systems==0.7.0+23.g7472e99) (8.1.3)
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+23.g7472e99) (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+23.g7472e99) (65.5.1)
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 88.2 MB/s eta 0:00:00
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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (2022.2.1)
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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99) (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+23.g7472e99-py3-none-any.whl size=99186 sha256=9382cada909560a3fd0c17212e3bcb3890975e8fbd97e6d21863234f694ebb91
  Stored in directory: /tmp/pip-ephem-wheel-cache-_pmx9_ml/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+23.g7472e99 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-jpvdbg4a
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-jpvdbg4a
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit e08a72c9c59416a9000e62d25548eb08367fc3fa
  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+61.ge08a72c9) (0.3.0+12.g78ecddd)
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+61.ge08a72c9) (0.55.1)
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+61.ge08a72c9) (1.10.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (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-models==0.9.0+61.ge08a72c9) (1.3.5)
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+61.ge08a72c9) (1.2.5)
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+61.ge08a72c9) (3.19.5)
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+61.ge08a72c9) (7.0.0)
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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (1.2.0)
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+61.ge08a72c9) (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->merlin-models==0.9.0+61.ge08a72c9) (5.4.1)
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+61.ge08a72c9) (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->merlin-models==0.9.0+61.ge08a72c9) (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+61.ge08a72c9) (2022.5.0)
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+61.ge08a72c9) (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+61.ge08a72c9) (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->merlin-models==0.9.0+61.ge08a72c9) (6.1)
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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (8.1.3)
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+61.ge08a72c9) (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-models==0.9.0+61.ge08a72c9) (65.5.1)
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+61.ge08a72c9) (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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (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->merlin-models==0.9.0+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (2022.2.1)
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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (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+61.ge08a72c9) (6.0.1)
Building wheels for collected packages: merlin-models
  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+61.ge08a72c9-py3-none-any.whl size=367208 sha256=d50f69be5324489592b9a77d02d3fce5f67ce37ffaacb807b7faba463a03acab
  Stored in directory: /tmp/pip-ephem-wheel-cache-i00iaxys/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
Successfully built merlin-models
Installing collected packages: 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-models-0.9.0+61.ge08a72c9
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-d_47mam8
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-d_47mam8
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit 3bcd555a7fdc1cdaca47379676c2f111750352a8
  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+12.g3bcd555a) (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+12.g3bcd555a) (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 1.6 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->nvtabular==1.6.0+12.g3bcd555a) (0.55.1)
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+12.g3bcd555a) (1.10.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (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+12.g3bcd555a) (1.3.5)
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+12.g3bcd555a) (1.2.5)
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+12.g3bcd555a) (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+12.g3bcd555a) (7.0.0)
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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (1.2.0)
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+12.g3bcd555a) (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+12.g3bcd555a) (5.4.1)
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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (2022.5.0)
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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (6.1)
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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (8.1.3)
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+12.g3bcd555a) (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+12.g3bcd555a) (65.5.1)
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+12.g3bcd555a) (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+12.g3bcd555a) (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->nvtabular==1.6.0+12.g3bcd555a) (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+12.g3bcd555a) (2022.2.1)
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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (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+12.g3bcd555a) (6.0.1)
Building wheels for collected packages: nvtabular, merlin-dataloader
  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+12.g3bcd555a-cp38-cp38-linux_x86_64.whl size=257601 sha256=64b312e8c77f98d855329f6f7dfdb864e1f5ac02436ae0be92379a4402b3ff13
  Stored in directory: /tmp/pip-ephem-wheel-cache-8o4hdwmc/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
  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=49f549e8f33e0de53b33c30f30cd8649d35b5f4858f4f1bedf1ab254952794a0
  Stored in directory: /tmp/pip-ephem-wheel-cache-8o4hdwmc/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built nvtabular merlin-dataloader
Installing collected packages: merlin-dataloader, 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 merlin-dataloader-0.0.3 nvtabular-1.6.0+12.g3bcd555a
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-e9s9fnp6
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-e9s9fnp6
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 4f73ff5bd4121c1acaabdc01a123af4f986ffc78
  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+14.g4f73ff5) (0.55.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (1.10.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (21.3)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+14.g4f73ff5) (2022.3.0)
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+14.g4f73ff5) (1.3.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (1.2.5)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+14.g4f73ff5) (2022.5.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (7.0.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (1.2.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (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==0.9.0+14.g4f73ff5) (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+14.g4f73ff5) (6.1)
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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (8.1.3)
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+14.g4f73ff5) (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+14.g4f73ff5) (65.5.1)
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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (2022.2.1)
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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5) (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+14.g4f73ff5-py3-none-any.whl size=119010 sha256=2f20df2ba84f299dc2f34fa263a2f3956de05437914ef78f353ee02502f19734
  Stored in directory: /tmp/pip-ephem-wheel-cache-_i642lar/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+14.g4f73ff5
test-gpu run-test: commands[4] | 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, xdist-3.0.2, cov-4.0.0
collected 3 items

tests/unit/test_version.py .                                             [ 33%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py F      [ 66%]

tests/unit/examples/test_scaling_criteo_merlin_models.py F               [100%]


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

__________________________________ test_func ___________________________________


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()





tests/unit/examples/test_building_deploying_multi_stage_RecSys.py:32:




../../../.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 0x7f51da618760>

cell = {'cell_type': 'code', 'execution_count': 7, 'id': 'b44b3378-7297-4946-a271-742a9239bc3e', 'metadata': {'execution': {'...ron.get("NUM_ROWS", 100_000)\ntrain_raw, valid_raw = generate_data("aliccp-raw", int(NUM_ROWS), set_sizes=(0.7, 0.3))'}

cell_index = 16

exec_reply = {'buffers': [], 'content': {'ename': 'RuntimeError', 'engine_info': {'engine_id': -1, 'engine_uuid': 'a8853ae6-a940-4d...e, 'engine': 'a8853ae6-a940-4d8d-9452-c332d37042ae', 'started': '2022-12-01T17:41:35.640041Z', '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           from merlin.datasets.synthetic import generate_data

E

E           NUM_ROWS = os.environ.get("NUM_ROWS", 100_000)

E           train_raw, valid_raw = generate_data("aliccp-raw", int(NUM_ROWS), set_sizes=(0.7, 0.3))

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

E

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

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

E           Cell �[0;32mIn [7], line 4�[0m

E           �[1;32m      1�[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

E           �[1;32m      3�[0m NUM_ROWS �[38;5;241m=�[39m os�[38;5;241m.�[39menviron�[38;5;241m.�[39mget(�[38;5;124m"�[39m�[38;5;124mNUM_ROWS�[39m�[38;5;124m"�[39m, �[38;5;241m100_000�[39m)

E           �[0;32m----> 4�[0m train_raw, valid_raw �[38;5;241m=�[39m �[43mgenerate_data�[49m�[43m(�[49m�[38;5;124;43m"�[39;49m�[38;5;124;43maliccp-raw�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[38;5;28;43mint�[39;49m�[43m(�[49m�[43mNUM_ROWS�[49m�[43m)�[49m�[43m,�[49m�[43m �[49m�[43mset_sizes�[49m�[38;5;241;43m=�[39;49m�[43m(�[49m�[38;5;241;43m0.7�[39;49m�[43m,�[49m�[43m �[49m�[38;5;241;43m0.3�[39;49m�[43m)�[49m�[43m)�[49m

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py:134�[0m, in �[0;36mgenerate_data�[0;34m(input, num_rows, set_sizes, min_session_length, max_session_length, device)�[0m

E           �[1;32m    131�[0m         start_i �[38;5;241m=�[39m end_i

E           �[1;32m    132�[0m         output_datasets�[38;5;241m.�[39mappend(set_df)

E           �[0;32m--> 134�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28mtuple�[39m([merlin�[38;5;241m.�[39mio�[38;5;241m.�[39mDataset(d, schema�[38;5;241m=�[39mschema) �[38;5;28;01mfor�[39;00m d �[38;5;129;01min�[39;00m output_datasets])

E           �[1;32m    136�[0m �[38;5;28;01mreturn�[39;00m merlin�[38;5;241m.�[39mio�[38;5;241m.�[39mDataset(df, schema�[38;5;241m=�[39mschema)

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py:134�[0m, in �[0;36m�[0;34m(.0)�[0m

E           �[1;32m    131�[0m         start_i �[38;5;241m=�[39m end_i

E           �[1;32m    132�[0m         output_datasets�[38;5;241m.�[39mappend(set_df)

E           �[0;32m--> 134�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28mtuple�[39m([�[43mmerlin�[49m�[38;5;241;43m.�[39;49m�[43mio�[49m�[38;5;241;43m.�[39;49m�[43mDataset�[49m�[43m(�[49m�[43md�[49m�[43m,�[49m�[43m �[49m�[43mschema�[49m�[38;5;241;43m=�[39;49m�[43mschema�[49m�[43m)�[49m �[38;5;28;01mfor�[39;00m d �[38;5;129;01min�[39;00m output_datasets])

E           �[1;32m    136�[0m �[38;5;28;01mreturn�[39;00m merlin�[38;5;241m.�[39mio�[38;5;241m.�[39mDataset(df, schema�[38;5;241m=�[39mschema)

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

E           �[1;32m    259�[0m �[38;5;28;01mif�[39;00m �[38;5;28misinstance�[39m(path_or_source, dask�[38;5;241m.�[39mdataframe�[38;5;241m.�[39mDataFrame) �[38;5;129;01mor�[39;00m is_dataframe_object(

E           �[1;32m    260�[0m     path_or_source

E           �[1;32m    261�[0m ):

E           �[1;32m    262�[0m     �[38;5;66;03m# User is passing in a <dask.dataframe|cudf|pd>.DataFrame�[39;00m

E           �[1;32m    263�[0m     �[38;5;66;03m# Use DataFrameDatasetEngine�[39;00m

E           �[0;32m--> 264�[0m     _path_or_source �[38;5;241m=�[39m �[43mconvert_data�[49m�[43m(�[49m

E           �[1;32m    265�[0m �[43m        �[49m�[43mpath_or_source�[49m�[43m,�[49m�[43m �[49m�[43mcpu�[49m�[38;5;241;43m=�[39;49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mcpu�[49m�[43m,�[49m�[43m �[49m�[43mto_collection�[49m�[38;5;241;43m=�[39;49m�[38;5;28;43;01mTrue�[39;49;00m�[43m,�[49m�[43m �[49m�[43mnpartitions�[49m�[38;5;241;43m=�[39;49m�[43mnpartitions�[49m

E           �[1;32m    266�[0m �[43m    �[49m�[43m)�[49m

E           �[1;32m    267�[0m     �[38;5;66;03m# Check if this is a collection that has now moved between host <-> device�[39;00m

E           �[1;32m    268�[0m     moved_collection �[38;5;241m=�[39m �[38;5;28misinstance�[39m(path_or_source, dask�[38;5;241m.�[39mdataframe�[38;5;241m.�[39mDataFrame) �[38;5;129;01mand�[39;00m (

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:579�[0m, in �[0;36mconvert_data�[0;34m(x, cpu, to_collection, npartitions)�[0m

E           �[1;32m    577�[0m     _x �[38;5;241m=�[39m cudf�[38;5;241m.�[39mDataFrame�[38;5;241m.�[39mfrom_arrow(x)

E           �[1;32m    578�[0m �[38;5;28;01melif�[39;00m �[38;5;28misinstance�[39m(x, pd�[38;5;241m.�[39mDataFrame):

E           �[0;32m--> 579�[0m     _x �[38;5;241m=�[39m �[43mcudf�[49m�[38;5;241;43m.�[39;49m�[43mDataFrame�[49m�[38;5;241;43m.�[39;49m�[43mfrom_pandas�[49m�[43m(�[49m�[43mx�[49m�[43m)�[49m

E           �[1;32m    580�[0m �[38;5;66;03m# Output a collection if to_collection=True�[39;00m

E           �[1;32m    581�[0m �[38;5;28;01mreturn�[39;00m (

E           �[1;32m    582�[0m     dask_cudf�[38;5;241m.�[39mfrom_cudf(_x, sort�[38;5;241m=�[39m�[38;5;28;01mFalse�[39;00m, npartitions�[38;5;241m=�[39mnpartitions)

E           �[1;32m    583�[0m     �[38;5;28;01mif�[39;00m to_collection

E           �[1;32m    584�[0m     �[38;5;28;01melse�[39;00m _x

E           �[1;32m    585�[0m )

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)

E           �[1;32m     99�[0m �[38;5;28;01mdef�[39;00m �[38;5;21minner�[39m(�[38;5;241m�[39margs, �[38;5;241m�[39m�[38;5;241m�[39mkwargs):

E           �[1;32m    100�[0m     libnvtx_push_range(�[38;5;28mself�[39m�[38;5;241m.�[39mattributes, �[38;5;28mself�[39m�[38;5;241m.�[39mdomain�[38;5;241m.�[39mhandle)

E           �[0;32m--> 101�[0m     result �[38;5;241m=�[39m �[43mfunc�[49m�[43m(�[49m�[38;5;241;43m�[39;49m�[43margs�[49m�[43m,�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[38;5;241;43m*�[39;49m�[43mkwargs�[49m�[43m)�[49m

E           �[1;32m    102�[0m     libnvtx_pop_range(�[38;5;28mself�[39m�[38;5;241m.�[39mdomain�[38;5;241m.�[39mhandle)

E           �[1;32m    103�[0m     �[38;5;28;01mreturn�[39;00m result

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():

E           �[1;32m   4544�[0m     �[38;5;66;03m# necessary because multi-index can return multiple�[39;00m

E           �[1;32m   4545�[0m     �[38;5;66;03m# columns for a single key�[39;00m

E           �[1;32m   4546�[0m     �[38;5;28;01mif�[39;00m �[38;5;28mlen�[39m(col_value�[38;5;241m.�[39mshape) �[38;5;241m==�[39m �[38;5;241m1�[39m:

E           �[0;32m-> 4547�[0m         df[col_name] �[38;5;241m=�[39m �[43mcolumn�[49m�[38;5;241;43m.�[39;49m�[43mas_column�[49m�[43m(�[49m

E           �[1;32m   4548�[0m �[43m            �[49m�[43mcol_value�[49m�[38;5;241;43m.�[39;49m�[43marray�[49m�[43m,�[49m�[43m �[49m�[43mnan_as_null�[49m�[38;5;241;43m=�[39;49m�[43mnan_as_null�[49m

E           �[1;32m   4549�[0m �[43m        �[49m�[43m)�[49m

E           �[1;32m   4550�[0m     �[38;5;28;01melse�[39;00m:

E           �[1;32m   4551�[0m         vals �[38;5;241m=�[39m col_value�[38;5;241m.�[39mvalues�[38;5;241m.�[39mT

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/cudf/core/column/column.py:1966�[0m, in �[0;36mas_column�[0;34m(arbitrary, nan_as_null, dtype, length)�[0m

E           �[1;32m   1964�[0m     data �[38;5;241m=�[39m as_column(pa�[38;5;241m.�[39mArray�[38;5;241m.�[39mfrom_pandas(arbitrary), dtype�[38;5;241m=�[39marb_dtype)

E           �[1;32m   1965�[0m �[38;5;28;01melse�[39;00m:

E           �[0;32m-> 1966�[0m     data �[38;5;241m=�[39m �[43mas_column�[49m�[43m(�[49m

E           �[1;32m   1967�[0m �[43m        �[49m�[43mpa�[49m�[38;5;241;43m.�[39;49m�[43marray�[49m�[43m(�[49m

E           �[1;32m   1968�[0m �[43m            �[49m�[43marbitrary�[49m�[43m,�[49m

E           �[1;32m   1969�[0m �[43m            �[49m�[43mfrom_pandas�[49m�[38;5;241;43m=�[39;49m�[38;5;28;43;01mTrue�[39;49;00m�[43m �[49m�[38;5;28;43;01mif�[39;49;00m�[43m �[49m�[43mnan_as_null�[49m�[43m �[49m�[38;5;129;43;01mis�[39;49;00m�[43m �[49m�[38;5;28;43;01mNone�[39;49;00m�[43m �[49m�[38;5;28;43;01melse�[39;49;00m�[43m �[49m�[43mnan_as_null�[49m�[43m,�[49m

E           �[1;32m   1970�[0m �[43m        �[49m�[43m)�[49m�[43m,�[49m

E           �[1;32m   1971�[0m �[43m        �[49m�[43mnan_as_null�[49m�[38;5;241;43m=�[39;49m�[43mnan_as_null�[49m�[43m,�[49m

E           �[1;32m   1972�[0m �[43m    �[49m�[43m)�[49m

E           �[1;32m   1973�[0m �[38;5;28;01mif�[39;00m dtype �[38;5;129;01mis�[39;00m �[38;5;129;01mnot�[39;00m �[38;5;28;01mNone�[39;00m:

E           �[1;32m   1974�[0m     data �[38;5;241m=�[39m data�[38;5;241m.�[39mastype(dtype)

E

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

E           �[1;32m   1754�[0m �[38;5;28;01mif�[39;00m �[38;5;28misinstance�[39m(arbitrary, pa�[38;5;241m.�[39mlib�[38;5;241m.�[39mHalfFloatArray):

E           �[1;32m   1755�[0m     �[38;5;28;01mraise�[39;00m �[38;5;167;01mNotImplementedError�[39;00m(

E           �[1;32m   1756�[0m         �[38;5;124m"�[39m�[38;5;124mType casting from float16 to float32 is not �[39m�[38;5;124m"�[39m

E           �[1;32m   1757�[0m         �[38;5;124m"�[39m�[38;5;124myet supported in pyarrow, see: �[39m�[38;5;124m"�[39m

E           �[1;32m   1758�[0m         �[38;5;124m"�[39m�[38;5;124mhttps://issues.apache.org/jira/browse/ARROW-3802�[39m�[38;5;124m"�[39m

E           �[1;32m   1759�[0m     )

E           �[0;32m-> 1760�[0m col �[38;5;241m=�[39m �[43mColumnBase�[49m�[38;5;241;43m.�[39;49m�[43mfrom_arrow�[49m�[43m(�[49m�[43marbitrary�[49m�[43m)�[49m

E           �[1;32m   1762�[0m �[38;5;28;01mif�[39;00m �[38;5;28misinstance�[39m(arbitrary, pa�[38;5;241m.�[39mNullArray):

E           �[1;32m   1763�[0m     new_dtype �[38;5;241m=�[39m cudf�[38;5;241m.�[39mdtype(arbitrary�[38;5;241m.�[39mtype�[38;5;241m.�[39mto_pandas_dtype())

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/cudf/core/column/column.py:297�[0m, in �[0;36mColumnBase.from_arrow�[0;34m(cls, array)�[0m

E           �[1;32m    292�[0m �[38;5;28;01melif�[39;00m �[38;5;28misinstance�[39m(

E           �[1;32m    293�[0m     array�[38;5;241m.�[39mtype, pd�[38;5;241m.�[39mcore�[38;5;241m.�[39marrays�[38;5;241m.�[39m_arrow_utils�[38;5;241m.�[39mArrowIntervalType

E           �[1;32m    294�[0m ):

E           �[1;32m    295�[0m     �[38;5;28;01mreturn�[39;00m cudf�[38;5;241m.�[39mcore�[38;5;241m.�[39mcolumn�[38;5;241m.�[39mIntervalColumn�[38;5;241m.�[39mfrom_arrow(array)

E           �[0;32m--> 297�[0m result �[38;5;241m=�[39m �[43mlibcudf�[49m�[38;5;241;43m.�[39;49m�[43minterop�[49m�[38;5;241;43m.�[39;49m�[43mfrom_arrow�[49m�[43m(�[49m�[43mdata�[49m�[43m)�[49m[�[38;5;241m0�[39m]

E           �[1;32m    299�[0m �[38;5;28;01mreturn�[39;00m result�[38;5;241m.�[39m_with_type_metadata(cudf_dtype_from_pa_type(array�[38;5;241m.�[39mtype))

E

E           File �[0;32mcudf/_lib/interop.pyx:150�[0m, in �[0;36mcudf._lib.interop.from_arrow�[0;34m()�[0m

E

E           �[0;31mRuntimeError�[0m: CUDA error encountered at: ../src/bitmask/null_mask.cu:93: 2 cudaErrorMemoryAllocation out of memory

E           RuntimeError: CUDA error encountered at: ../src/bitmask/null_mask.cu:93: 2 cudaErrorMemoryAllocation out of memory


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

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

2022-12-01 17:41:30.380150: 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.

2022-12-01 17:41:34.648806: 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

2022-12-01 17:41:34.649679: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 14524 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-01 17:41:34.650268: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 14524 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-01 17:41:34.650825: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 14524 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

2022-12-01 17:41:34.655535: 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

2022-12-01 17:41:34.657465: 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

2022-12-01 17:41:34.659443: 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

2022-12-01 17:41:34.661549: 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

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 0x7f52b81b3640>

cell = {'cell_type': 'code', 'execution_count': 7, 'metadata': {'jupyter': {'outputs_hidden': False}, 'execution': {'iopub.st...pool_size=(device_pool_size // 256) * 256\n    )\n\n# Create the distributed client\nclient = Client(cluster)\nclient'}

cell_index = 12

exec_reply = {'buffers': [], 'content': {'ename': 'MemoryError', 'engine_info': {'engine_id': -1, 'engine_uuid': '6c69d98c-a4df-423...e, 'engine': '6c69d98c-a4df-4232-a2b5-274fe46f6001', 'started': '2022-12-01T17:41:48.844941Z', '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           # Dask dashboard

E           dashboard_port = "8787"

E

E           # Deploy a Single-Machine Multi-GPU Cluster

E           protocol = "tcp"  # "tcp" or "ucx"

E           if numba.cuda.is_available():

E               NUM_GPUS = list(range(len(numba.cuda.gpus)))

E           else:

E               NUM_GPUS = []

E           visible_devices = ",".join([str(n) for n in NUM_GPUS])  # Select devices to place workers

E           device_limit_frac = 0.7  # Spill GPU-Worker memory to host at this limit.

E           device_pool_frac = 0.8

E           part_mem_frac = 0.15

E

E           # Use total device size to calculate args.device_limit_frac

E           device_size = device_mem_size(kind="total")

E           device_limit = int(device_limit_frac * device_size)

E           device_pool_size = int(device_pool_frac * device_size)

E           part_size = int(part_mem_frac * device_size)

E

E           # Check if any device memory is already occupied

E           for dev in visible_devices.split(","):

E               fmem = pynvml_mem_size(kind="free", index=int(dev))

E               used = (device_size - fmem) / 1e9

E               if used > 1.0:

E                   warnings.warn(f"BEWARE - {used} GB is already occupied on device {int(dev)}!")

E

E           cluster = None  # (Optional) Specify existing scheduler port

E           if cluster is None:

E               cluster = LocalCUDACluster(

E                   protocol=protocol,

E                   n_workers=len(visible_devices.split(",")),

E                   CUDA_VISIBLE_DEVICES=visible_devices,

E                   device_memory_limit=device_limit,

E                   local_directory=dask_workdir,

E                   dashboard_address=":" + dashboard_port,

E                   rmm_pool_size=(device_pool_size // 256) * 256

E               )

E

E           # Create the distributed client

E           client = Client(cluster)

E           client

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

E

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

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

E           Cell �[0;32mIn [7], line 30�[0m

E           �[1;32m     28�[0m cluster �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m  �[38;5;66;03m# (Optional) Specify existing scheduler port�[39;00m

E           �[1;32m     29�[0m �[38;5;28;01mif�[39;00m cluster �[38;5;129;01mis�[39;00m �[38;5;28;01mNone�[39;00m:

E           �[0;32m---> 30�[0m     cluster �[38;5;241m=�[39m �[43mLocalCUDACluster�[49m�[43m(�[49m

E           �[1;32m     31�[0m �[43m        �[49m�[43mprotocol�[49m�[38;5;241;43m=�[39;49m�[43mprotocol�[49m�[43m,�[49m

E           �[1;32m     32�[0m �[43m        �[49m�[43mn_workers�[49m�[38;5;241;43m=�[39;49m�[38;5;28;43mlen�[39;49m�[43m(�[49m�[43mvisible_devices�[49m�[38;5;241;43m.�[39;49m�[43msplit�[49m�[43m(�[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m,�[39;49m�[38;5;124;43m"�[39;49m�[43m)�[49m�[43m)�[49m�[43m,�[49m

E           �[1;32m     33�[0m �[43m        �[49m�[43mCUDA_VISIBLE_DEVICES�[49m�[38;5;241;43m=�[39;49m�[43mvisible_devices�[49m�[43m,�[49m

E           �[1;32m     34�[0m �[43m        �[49m�[43mdevice_memory_limit�[49m�[38;5;241;43m=�[39;49m�[43mdevice_limit�[49m�[43m,�[49m

E           �[1;32m     35�[0m �[43m        �[49m�[43mlocal_directory�[49m�[38;5;241;43m=�[39;49m�[43mdask_workdir�[49m�[43m,�[49m

E           �[1;32m     36�[0m �[43m        �[49m�[43mdashboard_address�[49m�[38;5;241;43m=�[39;49m�[38;5;124;43m"�[39;49m�[38;5;124;43m:�[39;49m�[38;5;124;43m"�[39;49m�[43m �[49m�[38;5;241;43m+�[39;49m�[43m �[49m�[43mdashboard_port�[49m�[43m,�[49m

E           �[1;32m     37�[0m �[43m        �[49m�[43mrmm_pool_size�[49m�[38;5;241;43m=�[39;49m�[43m(�[49m�[43mdevice_pool_size�[49m�[43m �[49m�[38;5;241;43m/�[39;49m�[38;5;241;43m/�[39;49m�[43m �[49m�[38;5;241;43m256�[39;49m�[43m)�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[43m �[49m�[38;5;241;43m256�[39;49m

E           �[1;32m     38�[0m �[43m    �[49m�[43m)�[49m

E           �[1;32m     40�[0m �[38;5;66;03m# Create the distributed client�[39;00m

E           �[1;32m     41�[0m client �[38;5;241m=�[39m Client(cluster)

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/dask_cuda/local_cuda_cluster.py:367�[0m, in �[0;36mLocalCUDACluster.__init__�[0;34m(self, CUDA_VISIBLE_DEVICES, n_workers, threads_per_worker, memory_limit, device_memory_limit, data, local_directory, shared_filesystem, protocol, enable_tcp_over_ucx, enable_infiniband, enable_nvlink, enable_rdmacm, rmm_pool_size, rmm_maximum_pool_size, rmm_managed_memory, rmm_async, rmm_log_directory, rmm_track_allocations, jit_unspill, log_spilling, worker_class, pre_import, **kwargs)�[0m

E           �[1;32m    365�[0m �[38;5;28mself�[39m�[38;5;241m.�[39mcuda_visible_devices �[38;5;241m=�[39m CUDA_VISIBLE_DEVICES

E           �[1;32m    366�[0m �[38;5;28mself�[39m�[38;5;241m.�[39mscale(n_workers)

E           �[0;32m--> 367�[0m �[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43msync�[49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43m_correct_state�[49m�[43m)�[49m

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:309�[0m, in �[0;36mSyncMethodMixin.sync�[0;34m(self, func, asynchronous, callback_timeout, args, **kwargs)�[0m

E           �[1;32m    307�[0m     �[38;5;28;01mreturn�[39;00m future

E           �[1;32m    308�[0m �[38;5;28;01melse�[39;00m:

E           �[0;32m--> 309�[0m     �[38;5;28;01mreturn�[39;00m �[43msync�[49m�[43m(�[49m

E           �[1;32m    310�[0m �[43m        �[49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mloop�[49m�[43m,�[49m�[43m �[49m�[43mfunc�[49m�[43m,�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[43margs�[49m�[43m,�[49m�[43m �[49m�[43mcallback_timeout�[49m�[38;5;241;43m=�[39;49m�[43mcallback_timeout�[49m�[43m,�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[38;5;241;43m*�[39;49m�[43mkwargs�[49m

E           �[1;32m    311�[0m �[43m    �[49m�[43m)�[49m

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:376�[0m, in �[0;36msync�[0;34m(loop, func, callback_timeout, *args, **kwargs)�[0m

E           �[1;32m    374�[0m �[38;5;28;01mif�[39;00m error:

E           �[1;32m    375�[0m     typ, exc, tb �[38;5;241m=�[39m error

E           �[0;32m--> 376�[0m     �[38;5;28;01mraise�[39;00m exc�[38;5;241m.�[39mwith_traceback(tb)

E           �[1;32m    377�[0m �[38;5;28;01melse�[39;00m:

E           �[1;32m    378�[0m     �[38;5;28;01mreturn�[39;00m result

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:349�[0m, in �[0;36msync..f�[0;34m()�[0m

E           �[1;32m    347�[0m         future �[38;5;241m=�[39m asyncio�[38;5;241m.�[39mwait_for(future, callback_timeout)

E           �[1;32m    348�[0m     future �[38;5;241m=�[39m asyncio�[38;5;241m.�[39mensure_future(future)

E           �[0;32m--> 349�[0m     result �[38;5;241m=�[39m �[38;5;28;01myield�[39;00m future

E           �[1;32m    350�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mException�[39;00m:

E           �[1;32m    351�[0m     error �[38;5;241m=�[39m sys�[38;5;241m.�[39mexc_info()

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg/tornado/gen.py:762�[0m, in �[0;36mRunner.run�[0;34m(self)�[0m

E           �[1;32m    759�[0m exc_info �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m

E           �[1;32m    761�[0m �[38;5;28;01mtry�[39;00m:

E           �[0;32m--> 762�[0m     value �[38;5;241m=�[39m �[43mfuture�[49m�[38;5;241;43m.�[39;49m�[43mresult�[49m�[43m(�[49m�[43m)�[49m

E           �[1;32m    763�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mException�[39;00m:

E           �[1;32m    764�[0m     exc_info �[38;5;241m=�[39m sys�[38;5;241m.�[39mexc_info()

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/deploy/spec.py:352�[0m, in �[0;36mSpecCluster._correct_state_internal�[0;34m(self)�[0m

E           �[1;32m    350�[0m     �[38;5;28;01mfor�[39;00m w �[38;5;129;01min�[39;00m workers:

E           �[1;32m    351�[0m         w�[38;5;241m.�[39m_cluster �[38;5;241m=�[39m weakref�[38;5;241m.�[39mref(�[38;5;28mself�[39m)

E           �[0;32m--> 352�[0m         �[38;5;28;01mawait�[39;00m w  �[38;5;66;03m# for tornado gen.coroutine support�[39;00m

E           �[1;32m    353�[0m �[38;5;28mself�[39m�[38;5;241m.�[39mworkers�[38;5;241m.�[39mupdate(�[38;5;28mdict�[39m(�[38;5;28mzip�[39m(to_open, workers)))

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/core.py:299�[0m, in �[0;36mServer.await.._�[0;34m()�[0m

E           �[1;32m    293�[0m             �[38;5;28;01mraise�[39;00m �[38;5;167;01mTimeoutError�[39;00m(

E           �[1;32m    294�[0m                 �[38;5;124m"�[39m�[38;5;132;01m{}�[39;00m�[38;5;124m failed to start in �[39m�[38;5;132;01m{}�[39;00m�[38;5;124m seconds�[39m�[38;5;124m"�[39m�[38;5;241m.�[39mformat(

E           �[1;32m    295�[0m                     �[38;5;28mtype�[39m(�[38;5;28mself�[39m)�[38;5;241m.�[39m�[38;5;18m__name__�[39m, timeout

E           �[1;32m    296�[0m                 )

E           �[1;32m    297�[0m             )

E           �[1;32m    298�[0m     �[38;5;28;01melse�[39;00m:

E           �[0;32m--> 299�[0m         �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mstart()

E           �[1;32m    300�[0m         �[38;5;28mself�[39m�[38;5;241m.�[39mstatus �[38;5;241m=�[39m Status�[38;5;241m.�[39mrunning

E           �[1;32m    301�[0m �[38;5;28;01mreturn�[39;00m �[38;5;28mself�[39m

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/nanny.py:347�[0m, in �[0;36mNanny.start�[0;34m(self)�[0m

E           �[1;32m    344�[0m     �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mplugin_add(plugin�[38;5;241m=�[39mplugin, name�[38;5;241m=�[39mname)

E           �[1;32m    346�[0m logger�[38;5;241m.�[39minfo(�[38;5;124m"�[39m�[38;5;124m        Start Nanny at: �[39m�[38;5;132;01m%r�[39;00m�[38;5;124m"�[39m, �[38;5;28mself�[39m�[38;5;241m.�[39maddress)

E           �[0;32m--> 347�[0m response �[38;5;241m=�[39m �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39minstantiate()

E           �[1;32m    348�[0m �[38;5;28;01mif�[39;00m response �[38;5;241m==�[39m Status�[38;5;241m.�[39mrunning:

E           �[1;32m    349�[0m     �[38;5;28;01massert�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mworker_address

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/nanny.py:430�[0m, in �[0;36mNanny.instantiate�[0;34m(self)�[0m

E           �[1;32m    428�[0m �[38;5;28;01melse�[39;00m:

E           �[1;32m    429�[0m     �[38;5;28;01mtry�[39;00m:

E           �[0;32m--> 430�[0m         result �[38;5;241m=�[39m �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mprocess�[38;5;241m.�[39mstart()

E           �[1;32m    431�[0m     �[38;5;28;01mexcept�[39;00m �[38;5;167;01mException�[39;00m:

E           �[1;32m    432�[0m         �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mclose()

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/nanny.py:685�[0m, in �[0;36mWorkerProcess.start�[0;34m(self)�[0m

E           �[1;32m    683�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mstatus

E           �[1;32m    684�[0m �[38;5;28;01mtry�[39;00m:

E           �[0;32m--> 685�[0m     msg �[38;5;241m=�[39m �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39m_wait_until_connected(uid)

E           �[1;32m    686�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mException�[39;00m:

E           �[1;32m    687�[0m     �[38;5;28mself�[39m�[38;5;241m.�[39mstatus �[38;5;241m=�[39m Status�[38;5;241m.�[39mfailed

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/nanny.py:803�[0m, in �[0;36mWorkerProcess._wait_until_connected�[0;34m(self, uid)�[0m

E           �[1;32m    799�[0m �[38;5;28;01mif�[39;00m �[38;5;124m"�[39m�[38;5;124mexception�[39m�[38;5;124m"�[39m �[38;5;129;01min�[39;00m msg:

E           �[1;32m    800�[0m     logger�[38;5;241m.�[39merror(

E           �[1;32m    801�[0m         �[38;5;124m"�[39m�[38;5;124mFailed while trying to start worker process: �[39m�[38;5;132;01m%s�[39;00m�[38;5;124m"�[39m, msg[�[38;5;124m"�[39m�[38;5;124mexception�[39m�[38;5;124m"�[39m]

E           �[1;32m    802�[0m     )

E           �[0;32m--> 803�[0m     �[38;5;28;01mraise�[39;00m msg[�[38;5;124m"�[39m�[38;5;124mexception�[39m�[38;5;124m"�[39m]

E           �[1;32m    804�[0m �[38;5;28;01melse�[39;00m:

E           �[1;32m    805�[0m     �[38;5;28;01mreturn�[39;00m msg

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/nanny.py:869�[0m, in �[0;36mrun�[0;34m()�[0m

E           �[1;32m    865�[0m �[38;5;124;03m"""�[39;00m

E           �[1;32m    866�[0m �[38;5;124;03mTry to start worker and inform parent of outcome.�[39;00m

E           �[1;32m    867�[0m �[38;5;124;03m"""�[39;00m

E           �[1;32m    868�[0m �[38;5;28;01mtry�[39;00m:

E           �[0;32m--> 869�[0m     �[38;5;28;01mawait�[39;00m worker

E           �[1;32m    870�[0m �[38;5;28;01mexcept�[39;00m �[38;5;167;01mException�[39;00m �[38;5;28;01mas�[39;00m e:

E           �[1;32m    871�[0m     logger�[38;5;241m.�[39mexception(�[38;5;124m"�[39m�[38;5;124mFailed to start worker�[39m�[38;5;124m"�[39m)

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/core.py:299�[0m, in �[0;36m_�[0;34m()�[0m

E           �[1;32m    293�[0m             �[38;5;28;01mraise�[39;00m �[38;5;167;01mTimeoutError�[39;00m(

E           �[1;32m    294�[0m                 �[38;5;124m"�[39m�[38;5;132;01m{}�[39;00m�[38;5;124m failed to start in �[39m�[38;5;132;01m{}�[39;00m�[38;5;124m seconds�[39m�[38;5;124m"�[39m�[38;5;241m.�[39mformat(

E           �[1;32m    295�[0m                     �[38;5;28mtype�[39m(�[38;5;28mself�[39m)�[38;5;241m.�[39m�[38;5;18m__name__�[39m, timeout

E           �[1;32m    296�[0m                 )

E           �[1;32m    297�[0m             )

E           �[1;32m    298�[0m     �[38;5;28;01melse�[39;00m:

E           �[0;32m--> 299�[0m         �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mstart()

E           �[1;32m    300�[0m         �[38;5;28mself�[39m�[38;5;241m.�[39mstatus �[38;5;241m=�[39m Status�[38;5;241m.�[39mrunning

E           �[1;32m    301�[0m �[38;5;28;01mreturn�[39;00m �[38;5;28mself�[39m

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/worker.py:1372�[0m, in �[0;36mstart�[0;34m()�[0m

E           �[1;32m   1370�[0m         �[38;5;28;01mfor�[39;00m exc �[38;5;129;01min�[39;00m plugins_exceptions:

E           �[1;32m   1371�[0m             logger�[38;5;241m.�[39merror(�[38;5;28mrepr�[39m(exc))

E           �[0;32m-> 1372�[0m     �[38;5;28;01mraise�[39;00m plugins_exceptions[�[38;5;241m0�[39m]

E           �[1;32m   1374�[0m �[38;5;28mself�[39m�[38;5;241m.�[39m_pending_plugins �[38;5;241m=�[39m ()

E           �[1;32m   1376�[0m �[38;5;28;01mawait�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39m_register_with_scheduler()

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/worker.py:3248�[0m, in �[0;36mplugin_add�[0;34m()�[0m

E           �[1;32m   3246�[0m �[38;5;28;01mif�[39;00m �[38;5;28mhasattr�[39m(plugin, �[38;5;124m"�[39m�[38;5;124msetup�[39m�[38;5;124m"�[39m):

E           �[1;32m   3247�[0m     �[38;5;28;01mtry�[39;00m:

E           �[0;32m-> 3248�[0m         result �[38;5;241m=�[39m plugin�[38;5;241m.�[39msetup(worker�[38;5;241m=�[39m�[38;5;28mself�[39m)

E           �[1;32m   3249�[0m         �[38;5;28;01mif�[39;00m isawaitable(result):

E           �[1;32m   3250�[0m             result �[38;5;241m=�[39m �[38;5;28;01mawait�[39;00m result

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py:78�[0m, in �[0;36msetup�[0;34m()�[0m

E           �[1;32m     74�[0m     �[38;5;28;01mimport�[39;00m �[38;5;21;01mrmm�[39;00m

E           �[1;32m     76�[0m     pool_allocator �[38;5;241m=�[39m �[38;5;28;01mFalse�[39;00m �[38;5;28;01mif�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39minitial_pool_size �[38;5;129;01mis�[39;00m �[38;5;28;01mNone�[39;00m �[38;5;28;01melse�[39;00m �[38;5;28;01mTrue�[39;00m

E           �[0;32m---> 78�[0m     rmm�[38;5;241m.�[39mreinitialize(

E           �[1;32m     79�[0m         pool_allocator�[38;5;241m=�[39mpool_allocator,

E           �[1;32m     80�[0m         managed_memory�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mmanaged_memory,

E           �[1;32m     81�[0m         initial_pool_size�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39minitial_pool_size,

E           �[1;32m     82�[0m         maximum_pool_size�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mmaximum_pool_size,

E           �[1;32m     83�[0m         logging�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mlogging,

E           �[1;32m     84�[0m         log_file_name�[38;5;241m=�[39mget_rmm_log_file_name(

E           �[1;32m     85�[0m             worker, �[38;5;28mself�[39m�[38;5;241m.�[39mlogging, �[38;5;28mself�[39m�[38;5;241m.�[39mlog_directory

E           �[1;32m     86�[0m         ),

E           �[1;32m     87�[0m     )

E           �[1;32m     88�[0m �[38;5;28;01mif�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mrmm_track_allocations:

E           �[1;32m     89�[0m     �[38;5;28;01mimport�[39;00m �[38;5;21;01mrmm�[39;00m

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/rmm/rmm.py:85�[0m, in �[0;36mreinitialize�[0;34m()�[0m

E           �[1;32m     32�[0m �[38;5;28;01mdef�[39;00m �[38;5;21mreinitialize�[39m(

E           �[1;32m     33�[0m     pool_allocator�[38;5;241m=�[39m�[38;5;28;01mFalse�[39;00m,

E           �[1;32m     34�[0m     managed_memory�[38;5;241m=�[39m�[38;5;28;01mFalse�[39;00m,

E           �[0;32m   (...)�[0m

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

E           �[1;32m     40�[0m ):

E           �[1;32m     41�[0m     �[38;5;124;03m"""�[39;00m

E           �[1;32m     42�[0m �[38;5;124;03m    Finalizes and then initializes RMM using the options passed. Using memory�[39;00m

E           �[1;32m     43�[0m �[38;5;124;03m    from a previous initialization of RMM is undefined behavior and should be�[39;00m

E           �[0;32m   (...)�[0m

E           �[1;32m     83�[0m �[38;5;124;03m    corresponding to each device.�[39;00m

E           �[1;32m     84�[0m �[38;5;124;03m    """�[39;00m

E           �[0;32m---> 85�[0m     rmm�[38;5;241m.�[39mmr�[38;5;241m.�[39m_initialize(

E           �[1;32m     86�[0m         pool_allocator�[38;5;241m=�[39mpool_allocator,

E           �[1;32m     87�[0m         managed_memory�[38;5;241m=�[39mmanaged_memory,

E           �[1;32m     88�[0m         initial_pool_size�[38;5;241m=�[39minitial_pool_size,

E           �[1;32m     89�[0m         maximum_pool_size�[38;5;241m=�[39mmaximum_pool_size,

E           �[1;32m     90�[0m         devices�[38;5;241m=�[39mdevices,

E           �[1;32m     91�[0m         logging�[38;5;241m=�[39mlogging,

E           �[1;32m     92�[0m         log_file_name�[38;5;241m=�[39mlog_file_name,

E           �[1;32m     93�[0m     )

E

E           File �[0;32mmemory_resource.pyx:823�[0m, in �[0;36mrmm._lib.memory_resource._initialize�[0;34m()�[0m

E

E           File �[0;32mmemory_resource.pyx:883�[0m, in �[0;36mrmm._lib.memory_resource._initialize�[0;34m()�[0m

E

E           File �[0;32mmemory_resource.pyx:342�[0m, in �[0;36mrmm._lib.memory_resource.PoolMemoryResource.__cinit__�[0;34m()�[0m

E

E           �[0;31mMemoryError�[0m: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

E           MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded


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

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

2022-12-01 17:41:51,859 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:51,881 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:51,934 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:51,937 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:52,465 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:52,467 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:55,132 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-qtr9p8no', purging

2022-12-01 17:41:55,133 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:55,403 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:55,404 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,272 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-w2d3jw5a', purging

2022-12-01 17:41:58,273 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:58,360 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:58,376 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:58,449 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:58,628 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,629 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,829 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,830 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,906 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,907 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,946 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,947 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:42:01,533 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-z8pyl9_p', purging

2022-12-01 17:42:01,534 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-rd6wfjho', purging

2022-12-01 17:42:01,534 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-ri6ulmo2', purging

2022-12-01 17:42:01,534 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-4sqbbmlr', purging

2022-12-01 17:42:01,535 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:42:01,805 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:42:01,807 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

/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 '


---------- 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                                       356    262    26%

.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                                          195    147    25%

.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                                   122     79    35%

.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    120    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     69    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    285    17%

.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      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22     10    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      4    67%

.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     82    19%

.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    107    24%

.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                                  147     56    62%

.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     38    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181    153    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     47    23%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21     17    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    275    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37     22    41%

.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    491    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     24    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     66    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190    152    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18     13    28%

.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     32    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            15      7    53%

.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                               379    309    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/dataframe_iter.py                         21     17    19%

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

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/utils.py                                  40     15    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   70      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     36    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                             99     75    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     79    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     73    38%

.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    131    25%

.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     18    40%

.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     11    62%

.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     20    43%

.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    144    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 242    159    34%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    303    29%

.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     23    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280    190    32%

.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     49    23%

.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    350    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    268    207    23%

.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      2    85%

.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    100    49%

.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                               772    624    19%

.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     47    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     50    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      5    50%

.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    150    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     36    47%

.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     48    34%

.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                        101     54    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    63     14    78%

.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                       282    212    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         158    111    30%

.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/repr_utils.py                           69     61    12%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     31     9%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    169    19%

.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     27    29%

.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     25    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     96    19%

.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     39    61%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     72    20%

.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      6    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306     26    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     84    56%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       229    113    51%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82     19    77%


TOTAL                                                                                                 13134   8924    32%


========================= 2 failed, 1 passed in 50.94s =========================

/usr/local/lib/python3.8/dist-packages/coverage/inorout.py:519: CoverageWarning: Module merlin was never imported. (module-not-imported)

self.warn(f"Module {pkg} was never imported.", slug="module-not-imported")

/usr/local/lib/python3.8/dist-packages/coverage/control.py:801: CoverageWarning: No data was collected. (no-data-collected)

self._warn("No data was collected.", slug="no-data-collected")

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/jenkins2853163091670224371.sh

@edknv edknv merged commit 5388a1d into NVIDIA-Merlin:main Dec 1, 2022
@edknv edknv deleted the sklearn_to_scikit_learn branch December 1, 2022 18:38
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Reviewers

@oliverholworthy oliverholworthy oliverholworthy approved these changes

Assignees
No one assigned
Labels
chore Infrastructure update ci
Projects
None yet
Milestone
No milestone
Development

Successfully merging this pull request may close these issues.
3 participants
@edknv @nvidia-merlin-bot @oliverholworthy