CI: drop Python 3.8, torch 2.0, add python 3.13, torch 2.5 & 2.6dev

Dao-AILab · Dec 6, 2024 · 92c25d3 · 92c25d3
1 parent 21660a3
commit 92c25d3
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Showing 2 changed files with 22 additions and 16 deletions.
diff --git a/.github/workflows/publish.yaml b/.github/workflows/publish.yaml
@@ -43,23 +43,28 @@ jobs:
           # Using ubuntu-20.04 instead of 22.04 for more compatibility (glibc). Ideally we'd use the
           # 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', '2.4.1', '2.5.0.dev20240803']
-          cuda-version: ['11.8.0', '12.2.2', '12.4']
+          python-version: ['3.9', '3.10', '3.11', '3.12', '3.13']
+          torch-version: ['2.1.2', '2.2.2', '2.3.1', '2.4.0', '2.5.1', '2.6.0.dev20241010']
+          cuda-version: ['11.8.0', '12.4.1']
           # 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.
           # Without this we get import error (undefined symbol: _ZN3c105ErrorC2ENS_14SourceLocationESs)
           # when building without C++11 ABI and using it on nvcr images.
           cxx11_abi: ['FALSE', 'TRUE']
           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: '12.2.2'
+            # Pytorch < 2.5 does not support Python 3.13
+            - torch-version: '2.1.2'
+              python-version: '3.13'
+            - torch-version: '2.2.2'
+              python-version: '3.13'
+            - torch-version: '2.3.1'
+              python-version: '3.13'
+            - torch-version: '2.4.0'
+              python-version: '3.13'
 
     steps:
       - name: Checkout
@@ -74,6 +79,7 @@ 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' }}
@@ -92,7 +98,7 @@ jobs:
 
       - name: Install CUDA ${{ matrix.cuda-version }}
         if: ${{ matrix.cuda-version != 'cpu' }}
-        uses: Jimver/cuda-toolkit@v0.2.17
+        uses: Jimver/cuda-toolkit@v0.2.19
         id: cuda-toolkit
         with:
           cuda: ${{ matrix.cuda-version }}
@@ -116,9 +122,9 @@ jobs:
           # e.g. we can have system CUDA version being 11.7 but if torch==1.12 then we need to download the wheel from cu116
           # This code is ugly, maybe there's a better way to do this.
           export TORCH_CUDA_VERSION=$(python -c "from os import environ as env; \
-            minv = {'2.0': 117, '2.1': 118, '2.2': 118, '2.3': 118, '2.4': 118}[env['MATRIX_TORCH_VERSION']]; \
-            maxv = {'2.0': 118, '2.1': 121, '2.2': 121, '2.3': 121, '2.4': 124}[env['MATRIX_TORCH_VERSION']]; \
-            print(max(min(int(env['MATRIX_CUDA_VERSION']), maxv), minv))" \
+            minv = {'2.1': 118, '2.2': 118, '2.3': 118, '2.4': 118, '2.5': 118, '2.6': 118}[env['MATRIX_TORCH_VERSION']]; \
+            maxv = {'2.1': 121, '2.2': 121, '2.3': 121, '2.4': 124, '2.5': 124, '2.6': 124}[env['MATRIX_TORCH_VERSION']]; \
+            print(minv if int(env['MATRIX_CUDA_VERSION']) < 120 else maxv)" \
           )
           if [[ ${{ matrix.torch-version }} == *"dev"* ]]; then
             pip install --no-cache-dir --pre torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/nightly/cu${TORCH_CUDA_VERSION}

diff --git a/setup.py b/setup.py
@@ -267,10 +267,10 @@ def get_wheel_url():
         # We're using the CUDA version used to build torch, not the one currently installed
         # _, cuda_version_raw = get_cuda_bare_metal_version(CUDA_HOME)
         torch_cuda_version = parse(torch.version.cuda)
-        # For CUDA 11, we only compile for CUDA 11.8, and for CUDA 12 we only compile for CUDA 12.2
+        # For CUDA 11, we only compile for CUDA 11.8, and for CUDA 12 we only compile for CUDA 12.4
         # to save CI time. Minor versions should be compatible.
-        torch_cuda_version = parse("11.8") if torch_cuda_version.major == 11 else parse("12.2")
-        cuda_version = f"{torch_cuda_version.major}{torch_cuda_version.minor}"
+        torch_cuda_version = parse("11.8") if torch_cuda_version.major == 11 else parse("12.4")
+        cuda_version = f"{torch_cuda_version.major}"
 
     gpu_compute_version = hip_version if HIP_BUILD else cuda_version
     cuda_or_hip = "hip" if HIP_BUILD else "cu"
@@ -358,7 +358,7 @@ def run(self):
     else {
         "bdist_wheel": CachedWheelsCommand,
     },
-    python_requires=">=3.8",
+    python_requires=">=3.9",
     install_requires=[
         "torch",
         "packaging",