Revert CircleCI config changes. #16
Workflow file for this run
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| # name: gpu-tests | |
| # on: | |
| # pull_request: | |
| # branches: | |
| # - main | |
| # jobs: | |
| # test_with_gpu: | |
| # runs-on: 4-core-ubuntu-gpu-t4 # meta configured gpu runner https://www.internalfb.com/intern/opensource/ci/github-actions/runners/ | |
| # strategy: | |
| # matrix: | |
| # python-version: [3.10.15] | |
| # steps: | |
| # - uses: actions/[email protected] | |
| # - name: Set up Python ${{ matrix.python-version }} | |
| # uses: actions/[email protected] | |
| # with: | |
| # python-version: ${{ matrix.python-version }} | |
| # - uses: actions/[email protected] | |
| # - name: Install suitesparse | |
| # run: | | |
| # sudo apt-get update && sudo apt-get install -y libsuitesparse-dev | |
| # - name: Create Conda env | |
| # run: | | |
| # wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh | |
| # /bin/bash ~/miniconda.sh -b -p ~/conda | |
| # export PATH=~/conda/bin:$PATH | |
| # conda create --name theseus python=${{ matrix.python-version }} | |
| # source activate theseus | |
| # pip install --progress-bar off --upgrade pip | |
| # pip install --progress-bar off --upgrade setuptools | |
| # - name: Install CUDA 11 | |
| # run: | | |
| # # download and install nvidia drivers, cuda, etc | |
| # wget --quiet --no-clobber -P ~/nvidia-downloads https://developer.download.nvidia.com/compute/cuda/11.7.1/local_installers/cuda_11.7.1_515.65.01_linux.run | |
| # time sudo /bin/bash ~/nvidia-downloads/cuda_11.7.1_515.65.01_linux.run --no-drm --silent --driver --toolkit | |
| # sudo ldconfig /usr/local/cuda/lib64 | |
| # echo "Done installing NVIDIA drivers and CUDA libraries." | |
| # nvidia-smi | |
| # - name: Install Torch CUDA 11 | |
| # run: | | |
| # export PATH=~/conda/bin:$PATH | |
| # source activate theseus | |
| # which python && which pip | |
| # pip install --progress-bar off torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu118 | |
| # python -c 'import torch; print("Torch version:", torch.__version__); assert torch.cuda.is_available()' | |
| # - name: Install recent cmake | |
| # run: | | |
| # sudo apt-get update | |
| # sudo apt-get install -y cmake | |
| # - name: Build Baspacho GPU | |
| # run: | | |
| # sudo apt-get install -y libopenblas-pthread-dev | |
| # git clone https://github.com/facebookresearch/baspacho.git | |
| # cd baspacho | |
| # cmake -S . -B build -DCMAKE_BUILD_TYPE=Release -DBLA_STATIC=ON -DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc -DBUILD_SHARED_LIBS=OFF -DBASPACHO_CUDA_ARCHS='detect' -DBASPACHO_BUILD_TESTS=OFF -DBASPACHO_BUILD_EXAMPLES=OFF | |
| # cmake --build build -- -j16 | |
| # - name: Install torchlie and torchkin | |
| # run: | | |
| # export PATH=~/conda/bin:$PATH | |
| # source activate theseus | |
| # cd torchlie | |
| # pip install -e . | |
| # cd ../torchkin | |
| # pip install -e . | |
| # - name: Install theseus | |
| # run: | | |
| # export PATH=~/conda/bin:$PATH | |
| # source activate theseus | |
| # echo $(pwd) | |
| # BASPACHO_ROOT_DIR=./baspacho pip install -e ".[dev]" | |
| # - name: Run Lie groups tests | |
| # run: | | |
| # export PATH=~/conda/bin:$PATH | |
| # source activate theseus | |
| # pytest -s tests/theseus_tests/test_theseus_layer.py | |
| # pytest -s tests/theseus_tests/ -m "cudaext" | |
| # pytest -s tests/theseus_tests/test_pgo_benchmark.py -s |