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Constrain versions of PyTorch and CI artifacts in CI Runs #4690

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Constrain versions of PyTorch and CI artifacts in CI Runs #4690

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2ddb404
set correct pytorch range in ci
alexbarghi-nv Oct 3, 2024
d0d1ea1
Update ci/test_python.sh
jameslamb Oct 3, 2024
922571b
add version constraints in conda installs
jameslamb Oct 3, 2024
8364839
Merge branch 'branch-24.10' of github.com:rapidsai/cugraph into ci-fi…
jameslamb Oct 3, 2024
f267c77
use conda-forge::torch_geometric instead of pyg::pyg
jameslamb Oct 3, 2024
2124570
pin to dgl 2.4 for conda packages, 2.2.1 for wheels
jameslamb Oct 4, 2024
2ad8e87
th23 modifier
jameslamb Oct 4, 2024
f880686
use correct channel for conda builds
jameslamb Oct 4, 2024
317b86b
fix channel, use new location for dgl wheels
jameslamb Oct 4, 2024
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34 changes: 17 additions & 17 deletions ci/build_docs.sh
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Expand Up @@ -6,6 +6,10 @@ set -euo pipefail
rapids-logger "Create test conda environment"
. /opt/conda/etc/profile.d/conda.sh

export RAPIDS_VERSION="$(rapids-version)"
export RAPIDS_VERSION_MAJOR_MINOR="$(rapids-version-major-minor)"
export RAPIDS_VERSION_NUMBER="$RAPIDS_VERSION_MAJOR_MINOR"

rapids-dependency-file-generator \
--output conda \
--file-key docs \
Expand All @@ -22,35 +26,31 @@ PYTHON_CHANNEL=$(rapids-download-conda-from-s3 python)

if [[ "${RAPIDS_CUDA_VERSION}" == "11.8.0" ]]; then
CONDA_CUDA_VERSION="11.8"
DGL_CHANNEL="dglteam/label/cu118"
DGL_CHANNEL="dglteam/label/th23_cu118"
else
CONDA_CUDA_VERSION="12.1"
DGL_CHANNEL="dglteam/label/cu121"
DGL_CHANNEL="dglteam/label/th23_cu121"
fi

rapids-mamba-retry install \
--channel "${CPP_CHANNEL}" \
--channel "${PYTHON_CHANNEL}" \
--channel conda-forge \
--channel pyg \
--channel nvidia \
--channel "${DGL_CHANNEL}" \
libcugraph \
pylibcugraph \
cugraph \
cugraph-pyg \
cugraph-dgl \
cugraph-service-server \
cugraph-service-client \
libcugraph_etl \
pylibcugraphops \
pylibwholegraph \
pytorch \
"libcugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"pylibcugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"cugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"cugraph-pyg=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"cugraph-dgl=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"cugraph-service-server=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"cugraph-service-client=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"libcugraph_etl=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"pylibcugraphops=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"pylibwholegraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
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"pytorch>=2.3,<2.4" \
"cuda-version=${CONDA_CUDA_VERSION}"

export RAPIDS_VERSION="$(rapids-version)"
export RAPIDS_VERSION_MAJOR_MINOR="$(rapids-version-major-minor)"
export RAPIDS_VERSION_NUMBER="$RAPIDS_VERSION_MAJOR_MINOR"
export RAPIDS_DOCS_DIR="$(mktemp -d)"

for PROJECT in libcugraphops libwholegraph; do
Expand Down
3 changes: 1 addition & 2 deletions ci/build_python.sh
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Expand Up @@ -61,7 +61,6 @@ if [[ ${RAPIDS_CUDA_MAJOR} == "11" ]]; then
--no-test \
--channel "${CPP_CHANNEL}" \
--channel "${RAPIDS_CONDA_BLD_OUTPUT_DIR}" \
--channel pyg \
--channel pytorch \
--channel pytorch-nightly \
conda/recipes/cugraph-pyg
Expand All @@ -71,7 +70,7 @@ if [[ ${RAPIDS_CUDA_MAJOR} == "11" ]]; then
--no-test \
--channel "${CPP_CHANNEL}" \
--channel "${RAPIDS_CONDA_BLD_OUTPUT_DIR}" \
--channel dglteam \
--channel dglteam/label/th23_cu118 \
--channel pytorch \
--channel pytorch-nightly \
conda/recipes/cugraph-dgl
Expand Down
6 changes: 5 additions & 1 deletion ci/test_cpp.sh
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Expand Up @@ -8,6 +8,8 @@ cd "$(dirname "$(realpath "${BASH_SOURCE[0]}")")"/../

. /opt/conda/etc/profile.d/conda.sh

RAPIDS_VERSION_MAJOR_MINOR="$(rapids-version-major-minor)"

rapids-logger "Generate C++ testing dependencies"
rapids-dependency-file-generator \
--output conda \
Expand All @@ -30,7 +32,9 @@ rapids-print-env

rapids-mamba-retry install \
--channel "${CPP_CHANNEL}" \
libcugraph libcugraph_etl libcugraph-tests
"libcugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"libcugraph_etl=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"libcugraph-tests=${RAPIDS_VERSION_MAJOR_MINOR}.*"

rapids-logger "Check GPU usage"
nvidia-smi
Expand Down
6 changes: 5 additions & 1 deletion ci/test_notebooks.sh
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Expand Up @@ -5,6 +5,8 @@ set -Eeuo pipefail

. /opt/conda/etc/profile.d/conda.sh

RAPIDS_VERSION_MAJOR_MINOR="$(rapids-version-major-minor)"

rapids-logger "Generate notebook testing dependencies"
rapids-dependency-file-generator \
--output conda \
Expand All @@ -27,7 +29,9 @@ PYTHON_CHANNEL=$(rapids-download-conda-from-s3 python)
rapids-mamba-retry install \
--channel "${CPP_CHANNEL}" \
--channel "${PYTHON_CHANNEL}" \
libcugraph pylibcugraph cugraph
"libcugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"pylibcugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"cugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*"

NBTEST="$(realpath "$(dirname "$0")/utils/nbtest.sh")"
NOTEBOOK_LIST="$(realpath "$(dirname "$0")/notebook_list.py")"
Expand Down
36 changes: 16 additions & 20 deletions ci/test_python.sh
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Expand Up @@ -8,6 +8,8 @@ cd "$(dirname "$(realpath "${BASH_SOURCE[0]}")")"/../

. /opt/conda/etc/profile.d/conda.sh

RAPIDS_VERSION_MAJOR_MINOR="$(rapids-version-major-minor)"

rapids-logger "Generate Python testing dependencies"
rapids-dependency-file-generator \
--output conda \
Expand All @@ -34,12 +36,12 @@ rapids-print-env
rapids-mamba-retry install \
--channel "${CPP_CHANNEL}" \
--channel "${PYTHON_CHANNEL}" \
libcugraph \
pylibcugraph \
cugraph \
nx-cugraph \
cugraph-service-server \
cugraph-service-client
"libcugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"pylibcugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"cugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"nx-cugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"cugraph-service-server=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"cugraph-service-client=${RAPIDS_VERSION_MAJOR_MINOR}.*"

rapids-logger "Check GPU usage"
nvidia-smi
Expand Down Expand Up @@ -153,11 +155,11 @@ if [[ "${RAPIDS_CUDA_VERSION}" == "11.8.0" ]]; then
--channel conda-forge \
--channel dglteam/label/cu118 \
--channel nvidia \
libcugraph \
pylibcugraph \
pylibcugraphops \
cugraph \
cugraph-dgl \
"libcugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"pylibcugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"pylibcugraphops=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"cugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"cugraph-dgl=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
'dgl>=1.1.0.cu*,<=2.0.0.cu*' \
'pytorch>=2.3,<2.4' \
'cuda-version=11.8'
Expand Down Expand Up @@ -208,16 +210,10 @@ if [[ "${RAPIDS_CUDA_VERSION}" == "11.8.0" ]]; then
rapids-mamba-retry install \
--channel "${CPP_CHANNEL}" \
--channel "${PYTHON_CHANNEL}" \
--channel pyg \
"cugraph-pyg" \
"cugraph-pyg=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"pytorch>=2.3,<2.4" \
"ogb"

pip install \
pyg_lib \
torch_scatter \
torch_sparse \
-f ${PYG_URL}

rapids-print-env

rapids-logger "pytest cugraph_pyg (single GPU)"
Expand Down Expand Up @@ -253,7 +249,7 @@ if [[ "${RAPIDS_CUDA_VERSION}" == "11.8.0" ]]; then
--channel "${PYTHON_CHANNEL}" \
--channel conda-forge \
--channel nvidia \
cugraph-equivariant
"cugraph-equivariant=${RAPIDS_VERSION_MAJOR_MINOR}.*"
pip install e3nn==0.5.1

rapids-print-env
Expand Down
2 changes: 1 addition & 1 deletion ci/test_wheel_cugraph-dgl.sh
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Expand Up @@ -34,6 +34,6 @@ DGL_URL="https://data.dgl.ai/wheels/cu${PYTORCH_CUDA_VER}/repo.html"

rapids-logger "Installing PyTorch and DGL"
rapids-retry python -m pip install torch==2.3.0 --index-url ${PYTORCH_URL}
rapids-retry python -m pip install dgl==2.0.0 --find-links ${DGL_URL}
rapids-retry python -m pip install dgl==2.2.1 --find-links ${DGL_URL}

python -m pytest python/cugraph-dgl/tests
3 changes: 1 addition & 2 deletions conda/environments/all_cuda-118_arch-x86_64.yaml
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Expand Up @@ -4,8 +4,7 @@ channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- pyg
- dglteam/label/cu118
- dglteam/label/th23_cu118
- conda-forge
- nvidia
dependencies:
Expand Down
3 changes: 1 addition & 2 deletions conda/environments/all_cuda-125_arch-x86_64.yaml
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Expand Up @@ -4,8 +4,7 @@ channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- pyg
- dglteam/label/cu118
- dglteam/label/th23_cu118
- conda-forge
- nvidia
dependencies:
Expand Down
2 changes: 1 addition & 1 deletion conda/recipes/cugraph-dgl/meta.yaml
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Expand Up @@ -25,7 +25,7 @@ requirements:
- setuptools>=61.0.0
run:
- cugraph ={{ version }}
- dgl >=1.1.0.cu*
- dgl >=2.4.0.th23.cu*
- numba >=0.57
- numpy >=1.23,<3.0a0
- pylibcugraphops ={{ minor_version }}
Expand Down
2 changes: 1 addition & 1 deletion conda/recipes/cugraph-pyg/meta.yaml
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Expand Up @@ -36,7 +36,7 @@ requirements:
- cugraph ={{ version }}
- pylibcugraphops ={{ minor_version }}
- tensordict >=0.1.2
- pyg >=2.5,<2.6
- pytorch_geometric >=2.5,<2.6

tests:
imports:
Expand Down
7 changes: 3 additions & 4 deletions dependencies.yaml
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Expand Up @@ -323,8 +323,7 @@ channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- pyg
- dglteam/label/cu118
- dglteam/label/th23_cu118
- conda-forge
- nvidia
dependencies:
Expand Down Expand Up @@ -700,7 +699,7 @@ dependencies:
- &pytorch_conda pytorch>=2.3,<2.4.0a0
- pytorch-cuda==11.8
- &tensordict tensordict>=0.1.2
- dgl>=1.1.0.cu*
- dgl>=2.4.0.cu*
cugraph_pyg_dev:
common:
- output_types: [conda]
Expand All @@ -709,7 +708,7 @@ dependencies:
- *pytorch_conda
- pytorch-cuda==11.8
- *tensordict
- pyg>=2.5,<2.6
- pytorch_geometric>=2.5,<2.6

depends_on_pytorch:
common:
Expand Down
9 changes: 6 additions & 3 deletions docs/cugraph/source/graph_support/DGL_support.md
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Expand Up @@ -8,9 +8,12 @@

Install and update cugraph-dgl and the required dependencies using the command:

```
conda install mamba -n base -c conda-forge
mamba install cugraph-dgl -c rapidsai-nightly -c rapidsai -c pytorch -c conda-forge -c nvidia -c dglteam
```shell
# CUDA 11
conda install -c rapidsai -c pytorch -c conda-forge -c nvidia -c dglteam/label/th23_cu118 cugraph-dgl

# CUDA 12
conda install -c rapidsai -c pytorch -c conda-forge -c nvidia -c dglteam/label/th23_cu121 cugraph-dgl
```

## Build from Source
Expand Down
9 changes: 6 additions & 3 deletions python/cugraph-dgl/README.md
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Expand Up @@ -8,9 +8,12 @@

Install and update cugraph-dgl and the required dependencies using the command:

```
conda install mamba -n base -c conda-forge
mamba install cugraph-dgl -c rapidsai-nightly -c rapidsai -c pytorch -c conda-forge -c nvidia -c dglteam
```shell
# CUDA 11
conda install -c rapidsai -c pytorch -c conda-forge -c nvidia -c dglteam/label/th23_cu118 cugraph-dgl

# CUDA 12
conda install -c rapidsai -c pytorch -c conda-forge -c nvidia -c dglteam/label/th23_cu121 cugraph-dgl
```

## Build from Source
Expand Down
5 changes: 2 additions & 3 deletions python/cugraph-dgl/conda/cugraph_dgl_dev_cuda-118.yaml
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Expand Up @@ -4,13 +4,12 @@ channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- pyg
- dglteam/label/cu118
- dglteam/label/th23_cu118
- conda-forge
- nvidia
dependencies:
- cugraph==24.10.*,>=0.0.0a0
- dgl>=1.1.0.cu*
- dgl>=2.4.0.cu*
- pandas
- pre-commit
- pylibcugraphops==24.10.*,>=0.0.0a0
Expand Down
5 changes: 2 additions & 3 deletions python/cugraph-pyg/conda/cugraph_pyg_dev_cuda-118.yaml
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Expand Up @@ -4,22 +4,21 @@ channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- pyg
- dglteam/label/cu118
- dglteam/label/th23_cu118
- conda-forge
- nvidia
dependencies:
- cugraph==24.10.*,>=0.0.0a0
- pandas
- pre-commit
- pyg>=2.5,<2.6
- pylibcugraphops==24.10.*,>=0.0.0a0
- pytest
- pytest-benchmark
- pytest-cov
- pytest-xdist
- pytorch-cuda==11.8
- pytorch>=2.3,<2.4.0a0
- pytorch_geometric>=2.5,<2.6
- scipy
- tensordict>=0.1.2
name: cugraph_pyg_dev_cuda-118
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