Closed pzelasko closed 2 years ago
They are two approaches to fix this issue:
(1) Install a CPU version of PyTorch. By default, pip install torch
installs a CUDA version. When we use CMake to find torch
, it requires CUDA support; that's why it throws the above error.
Please see the code in icefall for how to install a CPU version of PyTorch. https://github.com/k2-fsa/icefall/blob/3effcb42253c72c9bcf7f53484ce6c98807555f7/.github/workflows/run-pretrained.yml#L52
You can first uninstall PyTorch in GitHub CI and reinstall it so that you don't need to change setup.py
in lhotse.
That is, put
pip uninstall torch
pip install torch==1.9.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
after https://github.com/lhotse-speech/lhotse/blob/master/.github/workflows/unit_tests.yml#L35
(Note: You can make the version of PyTorch configurable, like what icefall is doing).
(2) This approach is more complicated. You need to install CUDA toolkit in GitHub CI. The good news is that the code already exists in k2.
Please refer to https://github.com/k2-fsa/k2/blob/master/.github/workflows/build.yml#L98 for how to install CUDA toolkit in GitHub CI.
- name: Install CUDA Toolkit ${{ matrix.cuda }}
env:
cuda: ${{ matrix.cuda }}
run: |
source ./scripts/github_actions/install_cuda.sh
echo "CUDA_HOME=${CUDA_HOME}" >> $GITHUB_ENV
echo "${CUDA_HOME}/bin" >> $GITHUB_PATH
echo "LD_LIBRARY_PATH=${CUDA_HOME}/lib:${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}" >> $GITHUB_ENV
shell: bash
I recommend the first approach. It is simpler.
Thanks a lot! I’ll check out the first one.
Closing as it has been fixed.
I'm adding kaldifeat support in Lhotse in this PR: https://github.com/lhotse-speech/lhotse/pull/424
Please see the error log here:
https://github.com/lhotse-speech/lhotse/pull/424/checks?check_run_id=3930520740