Drop support for Pytorch 2.0

This commit is contained in:
Tri Dao 2024-11-12 11:58:16 -08:00
parent 88d1657a14
commit 2f6c633179

View File

@ -44,7 +44,7 @@ jobs:
# manylinux docker image, but I haven't figured out how to install CUDA on manylinux.
os: [ubuntu-20.04]
python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
torch-version: ['2.0.1', '2.1.2', '2.2.2', '2.3.1', '2.4.0', '2.5.1']
torch-version: ['2.1.2', '2.2.2', '2.3.1', '2.4.0', '2.5.1']
cuda-version: ['11.8.0', '12.3.2']
# We need separate wheels that either uses C++11 ABI (-D_GLIBCXX_USE_CXX11_ABI) or not.
# Pytorch wheels currently don't use it, but nvcr images have Pytorch compiled with C++11 ABI.
@ -54,13 +54,8 @@ jobs:
exclude:
# see https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-matrix
# Pytorch < 2.2 does not support Python 3.12
- torch-version: '2.0.1'
python-version: '3.12'
- torch-version: '2.1.2'
python-version: '3.12'
# Pytorch <= 2.0 only supports CUDA <= 11.8
- torch-version: '2.0.1'
cuda-version: '12.3.2'
steps:
- name: Checkout
@ -75,6 +70,7 @@ jobs:
run: |
echo "MATRIX_CUDA_VERSION=$(echo ${{ matrix.cuda-version }} | awk -F \. {'print $1 $2'})" >> $GITHUB_ENV
echo "MATRIX_TORCH_VERSION=$(echo ${{ matrix.torch-version }} | awk -F \. {'print $1 "." $2'})" >> $GITHUB_ENV
echo "WHEEL_CUDA_VERSION=$(echo ${{ matrix.cuda-version }} | awk -F \. {'print $1'})" >> $GITHUB_ENV
- name: Free up disk space
if: ${{ runner.os == 'Linux' }}
@ -93,7 +89,7 @@ jobs:
- name: Install CUDA ${{ matrix.cuda-version }}
if: ${{ matrix.cuda-version != 'cpu' }}
uses: Jimver/cuda-toolkit@v0.2.14
uses: Jimver/cuda-toolkit@v0.2.18
id: cuda-toolkit
with:
cuda: ${{ matrix.cuda-version }}
@ -118,8 +114,8 @@ jobs:
# see https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-matrix
# This code is ugly, maybe there's a better way to do this.
export TORCH_CUDA_VERSION=$(python -c "from os import environ as env; \
minv = {'2.0': 117, '2.1': 118, '2.2': 118, '2.3': 118, '2.4': 118, '2.5': 118}[env['MATRIX_TORCH_VERSION']]; \
maxv = {'2.0': 118, '2.1': 121, '2.2': 121, '2.3': 121, '2.4': 124, '2.5': 124}[env['MATRIX_TORCH_VERSION']]; \
minv = {'2.1': 118, '2.2': 118, '2.3': 118, '2.4': 118, '2.5': 118}[env['MATRIX_TORCH_VERSION']]; \
maxv = {'2.1': 121, '2.2': 121, '2.3': 121, '2.4': 124, '2.5': 124}[env['MATRIX_TORCH_VERSION']]; \
print(max(min(int(env['MATRIX_CUDA_VERSION']), maxv), minv))" \
)
if [[ ${{ matrix.torch-version }} == *"dev"* ]]; then
@ -147,7 +143,7 @@ jobs:
# Limit MAX_JOBS otherwise the github runner goes OOM
# CUDA 11.8 can compile with 2 jobs, but CUDA 12.3 goes OOM
MAX_JOBS=$([ "$MATRIX_CUDA_VERSION" == "123" ] && echo 1 || echo 2) FLASH_ATTENTION_FORCE_BUILD="TRUE" FLASH_ATTENTION_FORCE_CXX11_ABI=${{ matrix.cxx11_abi}} python setup.py bdist_wheel --dist-dir=dist
tmpname=cu${MATRIX_CUDA_VERSION}torch${MATRIX_TORCH_VERSION}cxx11abi${{ matrix.cxx11_abi }}
tmpname=cu${WHEEL_CUDA_VERSION}torch${MATRIX_TORCH_VERSION}cxx11abi${{ matrix.cxx11_abi }}
wheel_name=$(ls dist/*whl | xargs -n 1 basename | sed "s/-/+$tmpname-/2")
ls dist/*whl |xargs -I {} mv {} dist/${wheel_name}
echo "wheel_name=${wheel_name}" >> $GITHUB_ENV