From de1e0f919f6eb9e3924f446342d83ced25e95b90 Mon Sep 17 00:00:00 2001 From: Tri Dao Date: Sun, 26 May 2024 12:06:44 -0700 Subject: [PATCH] [CI] Compile for pytorch 2.4.0.dev20240407 (for nvcr 24.05) --- .github/workflows/publish.yaml | 12 ++++-------- 1 file changed, 4 insertions(+), 8 deletions(-) diff --git a/.github/workflows/publish.yaml b/.github/workflows/publish.yaml index 93e4878..fd149de 100644 --- a/.github/workflows/publish.yaml +++ b/.github/workflows/publish.yaml @@ -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: ['3.7', '3.8', '3.9', '3.10', '3.11', '3.12'] - torch-version: ['1.12.1', '1.13.1', '2.0.1', '2.1.2', '2.2.2', '2.3.0'] + torch-version: ['1.12.1', '1.13.1', '2.0.1', '2.1.2', '2.2.2', '2.3.0', '2.4.0.dev20240407'] cuda-version: ['11.8.0', '12.2.2'] # 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. @@ -73,6 +73,8 @@ jobs: python-version: '3.7' - torch-version: '2.3.0' python-version: '3.7' + - torch-version: '2.4.0.dev20240407' + python-version: '3.7' # Pytorch <= 2.0 only supports CUDA <= 11.8 - torch-version: '1.12.1' cuda-version: '12.2.2' @@ -141,13 +143,7 @@ jobs: print(max(min(int(env['MATRIX_CUDA_VERSION']), maxv), minv))" \ ) if [[ ${{ matrix.torch-version }} == *"dev"* ]]; then - if [[ ${MATRIX_TORCH_VERSION} == "2.2" ]]; then - # --no-deps because we can't install old versions of pytorch-triton - pip install typing-extensions jinja2 - pip install --no-cache-dir --no-deps --pre https://download.pytorch.org/whl/nightly/cu${TORCH_CUDA_VERSION}/torch-${{ matrix.torch-version }}%2Bcu${TORCH_CUDA_VERSION}-cp${MATRIX_PYTHON_VERSION}-cp${MATRIX_PYTHON_VERSION}-linux_x86_64.whl - else - pip install --no-cache-dir --pre torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/nightly/cu${TORCH_CUDA_VERSION} - fi + pip install --no-cache-dir --pre torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/nightly/cu${TORCH_CUDA_VERSION} else pip install --no-cache-dir torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/cu${TORCH_CUDA_VERSION} fi