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Limit to MAX_JOBS=1 with CUDA 12.2

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Tri Dao 2024-05-26 15:35:21 -07:00
parent ce73503578
commit e2e4333c95
3 changed files with 5 additions and 4 deletions
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3
.github/workflows/publish.yml vendored
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@ -168,7 +168,8 @@ jobs:
export PATH=/usr/local/nvidia/bin:/usr/local/nvidia/lib64:$PATH export PATH=/usr/local/nvidia/bin:/usr/local/nvidia/lib64:$PATH
export LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:$LD_LIBRARY_PATH export LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:$LD_LIBRARY_PATH
# Limit MAX_JOBS otherwise the github runner goes OOM # Limit MAX_JOBS otherwise the github runner goes OOM
MAX_JOBS=2 FLASH_ATTENTION_FORCE_BUILD="TRUE" FLASH_ATTENTION_FORCE_CXX11_ABI=${{ matrix.cxx11_abi}} python setup.py bdist_wheel --dist-dir=dist # CUDA 11.8 can compile with 2 jobs, but CUDA 12.2 goes OOM
MAX_JOBS=$([ "$MATRIX_CUDA_VERSION" == "122" ] && echo 1 || echo 2) FLASH_ATTENTION_FORCE_BUILD="TRUE" FLASH_ATTENTION_FORCE_CXX11_ABI=${{ matrix.cxx11_abi}} python setup.py bdist_wheel --dist-dir=dist
tmpname=cu${MATRIX_CUDA_VERSION}torch${MATRIX_TORCH_VERSION}cxx11abi${{ matrix.cxx11_abi }} tmpname=cu${MATRIX_CUDA_VERSION}torch${MATRIX_TORCH_VERSION}cxx11abi${{ matrix.cxx11_abi }}
wheel_name=$(ls dist/*whl | xargs -n 1 basename | sed "s/-/+$tmpname-/2") wheel_name=$(ls dist/*whl | xargs -n 1 basename | sed "s/-/+$tmpname-/2")
ls dist/*whl |xargs -I {} mv {} dist/${wheel_name} ls dist/*whl |xargs -I {} mv {} dist/${wheel_name}

2
flash_attn/__init__.py
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@ -1,4 +1,4 @@
__version__ = "2.5.9" __version__ = "2.5.9.post1"
from flash_attn.flash_attn_interface import ( from flash_attn.flash_attn_interface import (
flash_attn_func, flash_attn_func,

4
training/Dockerfile
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@ -85,7 +85,7 @@ RUN pip install transformers==4.25.1 datasets==2.8.0 pytorch-lightning==1.8.6 tr
RUN pip install git+https://github.com/mlcommons/logging.git@2.1.0 RUN pip install git+https://github.com/mlcommons/logging.git@2.1.0
# Install FlashAttention # Install FlashAttention
RUN pip install flash-attn==2.5.9 RUN pip install flash-attn==2.5.9.post1
# Install CUDA extensions for fused dense # Install CUDA extensions for fused dense
RUN pip install git+https://github.com/HazyResearch/flash-attention@v2.5.9#subdirectory=csrc/fused_dense_lib RUN pip install git+https://github.com/HazyResearch/flash-attention@v2.5.9.post1#subdirectory=csrc/fused_dense_lib