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skip CUDA 11.4 conda-python-tests jobs (#91)
CUDA 11.4 is only tested in nightly CI (not on PRs) for this project. This project doesn't support CUDA 11.4 (because the versions of PyTorch it is compatible with don't), so #89 turned off most of those CUDA 11.4 test jobs. That worked for wheels, but conda tests need to be turned off as well. ```text tests/data/test_dask_graph_store.py::test_get_edge_index[multi_edge_multi_vertex_graph_1-cudf] - AssertionError: Torch not compiled with CUDA enabled ``` ([build link](https://github.com/rapidsai/cugraph-gnn/actions/runs/12198233986/job/34029537082#step:8:141493)) This skips nightly tests against CUDA 11.4. ## Notes for Reviewers ### How I tested this Triggered a run of the nightly test job from this branch ([by clicking "Run workflow" here](https://github.com/rapidsai/cugraph-gnn/actions/workflows/test.yaml)), using the latest nightly packages: * **use workflow from:** `pull-request/91` * **branch:** `branch-24.12` * **date:** `2024-12-06` * **sha:** `7ec8ace3cf7007dcca796e484f587af77d328e8f` (from https://github.com/rapidsai/cugraph-gnn/commits/branch-24.12/) Build link: https://github.com/rapidsai/cugraph-gnn/actions/runs/12203424243/job/34046336319
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.github/workflows/test.yaml

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@@ -40,6 +40,7 @@ jobs:
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branch: ${{ inputs.branch }}
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date: ${{ inputs.date }}
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sha: ${{ inputs.sha }}
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matrix_filter: map(select((.ARCH == "amd64") and (.CUDA_VER | startswith("11.4") | not)))
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wheel-tests-pylibwholegraph:
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secrets: inherit
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uses: rapidsai/shared-workflows/.github/workflows/[email protected]

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