[CI] Compile with torch 2.2.0

.github/workflows/publish.yaml

@@ -44,8 +44,8 @@ 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']
-          torch-version: ['1.12.1', '1.13.1', '2.0.1', '2.1.1', '2.2.0.dev20231106']
-          cuda-version: ['11.8.0', '12.2.0']
+          torch-version: ['1.12.1', '1.13.1', '2.0.1', '2.1.2', '2.2.0']
+          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.
           # Without this we get import error (undefined symbol: _ZN3c105ErrorC2ENS_14SourceLocationESs)
@@ -58,9 +58,9 @@ jobs:
             # Pytorch >= 2.0 only supports Python >= 3.8
             - torch-version: '2.0.1'
               python-version: '3.7'
-            - torch-version: '2.1.1'
+            - torch-version: '2.1.2'
               python-version: '3.7'
-            - torch-version: '2.2.0.dev20231106'
+            - torch-version: '2.2.0'
               python-version: '3.7'
             # Pytorch <= 2.0 only supports CUDA <= 11.8
             - torch-version: '1.12.1'
@@ -101,7 +101,7 @@ jobs:
 
       - name: Install CUDA ${{ matrix.cuda-version }}
         if: ${{ matrix.cuda-version != 'cpu' }}
-        uses: Jimver/cuda-toolkit@v0.2.11
+        uses: Jimver/cuda-toolkit@v0.2.14
         id: cuda-toolkit
         with:
           cuda: ${{ matrix.cuda-version }}

setup.py

@@ -1,4 +1,5 @@
-# Copyright (c) 2023, Tri Dao.
+# Copyright (c) 2024, Tri Dao.
+
 import sys
 import warnings
 import os
@@ -17,12 +18,7 @@
 from wheel.bdist_wheel import bdist_wheel as _bdist_wheel
 
 import torch
-from torch.utils.cpp_extension import (
-    BuildExtension,
-    CppExtension,
-    CUDAExtension,
-    CUDA_HOME,
-)
+from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDAExtension, CUDA_HOME
 
 
 with open("README.md", "r", encoding="utf-8") as fh: