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use conda-forge::torch_geometric instead of pyg::pyg
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jameslamb committed Oct 3, 2024
1 parent 8364839 commit f267c77
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Showing 9 changed files with 3 additions and 11 deletions.
1 change: 0 additions & 1 deletion ci/build_docs.sh
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Expand Up @@ -36,7 +36,6 @@ rapids-mamba-retry install \
--channel "${CPP_CHANNEL}" \
--channel "${PYTHON_CHANNEL}" \
--channel conda-forge \
--channel pyg \
--channel nvidia \
--channel "${DGL_CHANNEL}" \
"libcugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
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1 change: 0 additions & 1 deletion 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 "${RAPIDS_CONDA_BLD_OUTPUT_DIR}" \
--channel pyg \
--channel pytorch \
--channel pytorch-nightly \
conda/recipes/cugraph-pyg
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1 change: 0 additions & 1 deletion ci/test_python.sh
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Expand Up @@ -210,7 +210,6 @@ if [[ "${RAPIDS_CUDA_VERSION}" == "11.8.0" ]]; then
rapids-mamba-retry install \
--channel "${CPP_CHANNEL}" \
--channel "${PYTHON_CHANNEL}" \
--channel pyg \
"cugraph-pyg=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
"pytorch>=2.3,<2.4" \
"ogb"
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1 change: 0 additions & 1 deletion conda/environments/all_cuda-118_arch-x86_64.yaml
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Expand Up @@ -4,7 +4,6 @@ channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- pyg
- dglteam/label/cu118
- conda-forge
- nvidia
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1 change: 0 additions & 1 deletion conda/environments/all_cuda-125_arch-x86_64.yaml
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Expand Up @@ -4,7 +4,6 @@ channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- pyg
- dglteam/label/cu118
- conda-forge
- nvidia
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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:
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3 changes: 1 addition & 2 deletions dependencies.yaml
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Expand Up @@ -323,7 +323,6 @@ channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- pyg
- dglteam/label/cu118
- conda-forge
- nvidia
Expand Down Expand Up @@ -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:
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1 change: 0 additions & 1 deletion python/cugraph-dgl/conda/cugraph_dgl_dev_cuda-118.yaml
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Expand Up @@ -4,7 +4,6 @@ channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- pyg
- dglteam/label/cu118
- conda-forge
- nvidia
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3 changes: 1 addition & 2 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
- 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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