Support PyTorch 2.11

.github/actions/setup/action.yml

@@ -6,7 +6,7 @@ inputs:
     default: '3.10'
   torch-version:
     required: false
-    default: '2.10.0'
+    default: '2.11.0'
   cuda-version:
     required: false
     default: cpu
@@ -40,7 +40,7 @@ runs:
 
     - name: Install PyTorch ${{ inputs.torch-version }}+${{ inputs.cuda-version }}
       run: |
-        if [ ${{ inputs.torch-version }} == '2.11.0' ]; then
+        if [ ${{ inputs.torch-version }} == '2.12.0' ]; then
           uv pip install --pre torch --torch-backend ${{ inputs.cuda-version }}
         else
           uv pip install torch==${{ inputs.torch-version }} --torch-backend ${{ inputs.cuda-version }}
@@ -50,14 +50,6 @@ runs:
         python -c "import torch; print('CXX11 ABI:', torch.compiled_with_cxx11_abi())"
       shell: bash
 
-    - name: Disable CUDNN
-      if: ${{ inputs.cuda-version != 'cpu' && inputs.torch-version == '1.13.0' }}
-      run: |
-        Torch_DIR=`python -c 'import torch;print(torch.utils.cmake_prefix_path)'`
-        sed -i '95,100d' ${Torch_DIR}/Caffe2/Caffe2Config.cmake
-        sed -i 's/;caffe2::cudnn-public//g' ${Torch_DIR}/Caffe2/Caffe2Targets.cmake
-      shell: bash
-
     - name: Downgrade GLIBC
       if: ${{ runner.os == 'Linux' }}
       run: |

.github/workflows/utils/build_linux.sh

@@ -2,8 +2,8 @@
 set -ex
 
 CUDA_VERSION="${1:?Specify cuda version, e.g. cpu, cu130}"
-PYTHON_VERSION="${2:?Specify python version, e.g. 3.13}"
-TORCH_VERSION="${3:?Specify torch version, e.g. 2.10.0}"
+PYTHON_VERSION="${2:?Specify python version, e.g. 3.14}"
+TORCH_VERSION="${3:?Specify torch version, e.g. 2.11.0}"
 echo "CUDA_VERSION: ${CUDA_VERSION}"
 echo "PYTHON_VERSION: ${PYTHON_VERSION//./}"
 echo "TORCH_VERSION: ${TORCH_VERSION}"
@@ -14,7 +14,7 @@ echo "TORCH_CUDA_ARCH_LIST: ${TORCH_CUDA_ARCH_LIST}"
 
 export CIBW_BUILD="cp${PYTHON_VERSION//./}-manylinux_x86_64"
 # pyg-lib doesn't have torch as a dependency, so we need to explicitly install it when running tests.
-if [[ "${TORCH_VERSION}" == "2.11.0" ]]; then
+if [[ "${TORCH_VERSION}" == "2.12.0" ]]; then
   export CIBW_BEFORE_BUILD="pip install ninja wheel setuptools && pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/${CUDA_VERSION}"
   export CIBW_BEFORE_TEST="pip install pytest && pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/${CUDA_VERSION}"
 else

.github/workflows/utils/build_macos.sh

@@ -1,14 +1,14 @@
 #!/bin/bash
 set -ex
 
-PYTHON_VERSION="${1:?Specify python version, e.g. 3.13}"
-TORCH_VERSION="${2:?Specify torch version, e.g. 2.10.0}"
+PYTHON_VERSION="${1:?Specify python version, e.g. 3.14}"
+TORCH_VERSION="${2:?Specify torch version, e.g. 2.11.0}"
 echo "PYTHON_VERSION: ${PYTHON_VERSION//./}"
 echo "TORCH_VERSION: ${TORCH_VERSION}"
 
 export CIBW_BUILD="cp${PYTHON_VERSION//./}-macosx_arm64"
 # pyg-lib doesn't have torch as a dependency, so we need to explicitly install it when running tests.
-if [[ "${TORCH_VERSION}" == "2.11.0" ]]; then
+if [[ "${TORCH_VERSION}" == "2.12.0" ]]; then
   export CIBW_BEFORE_BUILD="pip install ninja wheel setuptools && pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cpu"
   export CIBW_BEFORE_TEST="pip install pytest && pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cpu"
 else

.github/workflows/utils/full_matrix_linux.json

@@ -1,4 +1,9 @@
 [
+  {
+    "torch-version": "2.11.0",
+    "python-version": ["3.10", "3.11", "3.12", "3.13", "3.14"],
+    "cuda-version": ["cpu", "cu126", "cu128", "cu130"]
+  },
   {
     "torch-version": "2.10.0",
     "python-version": ["3.10", "3.11", "3.12", "3.13", "3.14"],

.github/workflows/utils/full_matrix_macos.json

@@ -1,4 +1,9 @@
 [
+  {
+    "torch-version": "2.11.0",
+    "python-version": ["3.10", "3.11", "3.12", "3.13", "3.14"],
+    "cuda-version": ["cpu"]
+  },
   {
     "torch-version": "2.10.0",
     "python-version": ["3.10", "3.11", "3.12", "3.13", "3.14"],

.github/workflows/utils/full_matrix_windows.json

@@ -1,4 +1,9 @@
 [
+  {
+    "torch-version": "2.11.0",
+    "python-version": ["3.10", "3.11", "3.12", "3.13", "3.14"],
+    "cuda-version": ["cpu", "cu126", "cu128", "cu130"]
+  },
   {
     "torch-version": "2.10.0",
     "python-version": ["3.10", "3.11", "3.12", "3.13", "3.14"],

.github/workflows/utils/minimal_matrix_linux.json

@@ -1,6 +1,6 @@
 [
   {
-    "torch-version": "2.10.0",
+    "torch-version": "2.11.0",
     "python-version": ["3.10", "3.14"],
     "cuda-version": ["cpu", "cu130"]
   },

.github/workflows/utils/minimal_matrix_macos.json

@@ -1,6 +1,6 @@
 [
   {
-    "torch-version": "2.10.0",
+    "torch-version": "2.11.0",
     "python-version": ["3.10", "3.14"],
     "cuda-version": ["cpu"]
   },

.github/workflows/utils/minimal_matrix_windows.json

@@ -1,6 +1,6 @@
 [
   {
-    "torch-version": "2.10.0",
+    "torch-version": "2.11.0",
     "python-version": ["3.10", "3.14"],
     "cuda-version": ["cpu", "cu130"]
   },

CHANGELOG.md

@@ -5,6 +5,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ## [Unreleased]
 ### Added
+- Added PyTorch 2.11 support ([#608](https://github.com/pyg-team/pyg-lib/pull/608))
 - Added Python 3.14 support ([#581](https://github.com/pyg-team/pyg-lib/pull/581), [#582](https://github.com/pyg-team/pyg-lib/pull/582), [#583](https://github.com/pyg-team/pyg-lib/pull/583))
 - Migrated `rusty1s/pytorch_spline_conv` to `pyg-lib` ([#566](https://github.com/pyg-team/pyg-lib/pull/566), [#567](https://github.com/pyg-team/pyg-lib/pull/567), [#568](https://github.com/pyg-team/pyg-lib/pull/568), [#569](https://github.com/pyg-team/pyg-lib/pull/569), [#570](https://github.com/pyg-team/pyg-lib/pull/570), [#572](https://github.com/pyg-team/pyg-lib/pull/572))
 - Added CUDA 13.0 support on Windows ([#580](https://github.com/pyg-team/pyg-lib/pull/580))

README.md

@@ -20,7 +20,7 @@
 
 ## Installation
 
-We provide pre-built Python wheels for all major OS/PyTorch/CUDA combinations from Python 3.10 till 3.13, see [here](https://data.pyg.org/whl).
+We provide pre-built Python wheels for all major OS/PyTorch/CUDA combinations from Python 3.10 till 3.14, see [here](https://data.pyg.org/whl).
 
 To install the wheels, simply run
 
@@ -30,11 +30,17 @@ pip install pyg-lib -f https://data.pyg.org/whl/torch-${TORCH}+${CUDA}.html
 
 where
 
-* `${TORCH}` should be replaced by either `2.8.0`, `2.9.0`, or `2.10.0`
+* `${TORCH}` should be replaced by either `2.8.0`, `2.9.0`, `2.10.0`, or `2.11.0`
 * `${CUDA}` should be replaced by either `cpu`, `cu126`, `cu128`, `cu129`, or `cu130`
 
 The following combinations are supported:
 
+| PyTorch 2.11 | `cpu` | `cu126` | `cu128` | `cu129` | `cu130` |
+|--------------|-------|---------|---------|---------|---------|
+| **Linux**    | ✅    | ✅      | ✅      |       | ✅      |
+| **Windows**  | ✅    | ✅      | ✅      |       | ✅      |
+| **macOS**    | ✅    |         |         |        |        |
+
 | PyTorch 2.10 | `cpu` | `cu126` | `cu128` | `cu129` | `cu130` |
 |--------------|-------|---------|---------|---------|---------|
 | **Linux**    | ✅    | ✅      | ✅      |       | ✅      |
@@ -55,7 +61,7 @@ The following combinations are supported:
 
 ### From nightly
 
-Nightly wheels are provided for Linux from Python 3.10 till 3.13:
+Nightly wheels are provided for Linux from Python 3.10 till 3.14:
 
 ```
 pip install pyg-lib -f https://data.pyg.org/whl/nightly/torch-${TORCH}+${CUDA}.html

docs/requirements.txt

@@ -1,2 +1,2 @@
-https://download.pytorch.org/whl/cpu/torch-2.10.0%2Bcpu-cp310-cp310-manylinux_2_28_x86_64.whl
+https://download.pytorch.org/whl/cpu/torch-2.11.0%2Bcpu-cp310-cp310-manylinux_2_28_x86_64.whl
 git+https://github.com/pyg-team/pyg_sphinx_theme.git