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repro CUDA 11.4.4 failure in test_gpu_basics #4135

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repro CUDA 11.4.4 failure in test_gpu_basics #4135

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2 changes: 1 addition & 1 deletion .github/actions/build_cmake/action.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -122,7 +122,7 @@ runs:
-DFAISS_OPT_LEVEL=${{ inputs.opt_level }} \
-DFAISS_ENABLE_C_API=ON \
-DPYTHON_EXECUTABLE=$CONDA/bin/python \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_BUILD_TYPE=Debug \
-DBLA_VENDOR=${{ runner.arch == 'X64' && 'Intel10_64_dyn' || '' }} \
-DCMAKE_CUDA_FLAGS=${{ runner.arch == 'X64' && '"-gencode arch=compute_75,code=sm_75"' || '' }} \
.
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22 changes: 17 additions & 5 deletions .github/actions/build_conda/action.yml
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Expand Up @@ -26,20 +26,27 @@ runs:
else
echo "shell=pwsh" >> "$GITHUB_OUTPUT"
fi
echo "${{ runner.arch }}"
- name: Setup miniconda
uses: conda-incubator/setup-miniconda@v3
with:
python-version: '3.11'
miniconda-version: latest
miniforge-version: latest # ensures conda-forge channel is used.
channels: conda-forge
conda-remove-defaults: 'true'
# Set to runner.arch=aarch64 if we're on arm64 because
# there's no miniforge ARM64 package, just aarch64.
# They are the same thing, just named differently.
# However there is an ARM64 for macOS, so exclude that.
architecture: ${{ (runner.arch == 'ARM64' && runner.os != 'macOS') && 'aarch64' || runner.arch }}
- name: Install conda build tools
shell: ${{ steps.choose_shell.outputs.shell }}
run: |
# Ensure starting packages are from conda-forge.
conda list --show-channel-urls
conda install -y -q "conda!=24.11.0"
conda install -y -q "conda-build!=24.11.0"
- name: Fix CI failure
shell: ${{ steps.choose_shell.outputs.shell }}
if: runner.os != 'Windows'
run: conda remove conda-anaconda-telemetry
conda list --show-channel-urls
- name: Enable anaconda uploads
if: inputs.label != ''
shell: ${{ steps.choose_shell.outputs.shell }}
Expand Down Expand Up @@ -94,3 +101,8 @@ runs:
run: |
conda build faiss-gpu-cuvs --variants '{ "cudatoolkit": "${{ inputs.cuda }}" }' \
--user pytorch --label ${{ inputs.label }} -c pytorch -c rapidsai -c rapidsai-nightly -c conda-forge -c nvidia
- name: Check installed packages channel
shell: ${{ steps.choose_shell.outputs.shell }}
run: |
# Shows that all installed packages are from conda-forge.
conda list --show-channel-urls
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