update to torch 1.5 [ci-deploy]

Author: rusty1s

.travis.yml

@@ -8,56 +8,50 @@ os:
 env:
   global:
     - CUDA_HOME=/usr/local/cuda
+
   jobs:
-    - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.8 IDX=cpu
-    - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.8 IDX=cu92
-    - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.8 IDX=cu100
-    - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.8 IDX=cu101
-    - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.7 IDX=cpu
-    - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.7 IDX=cu92
-    - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.7 IDX=cu100
-    - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.7 IDX=cu101
-    - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cpu
-    - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu92
-    - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu100
-    - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu101
+    - TORCH_VERSION=1.5.0 PYTHON_VERSION=3.8 IDX=cpu
+    - TORCH_VERSION=1.5.0 PYTHON_VERSION=3.8 IDX=cu92
+    - TORCH_VERSION=1.5.0 PYTHON_VERSION=3.8 IDX=cu101
+    - TORCH_VERSION=1.5.0 PYTHON_VERSION=3.8 IDX=cu102
+    - TORCH_VERSION=1.5.0 PYTHON_VERSION=3.7 IDX=cpu
+    - TORCH_VERSION=1.5.0 PYTHON_VERSION=3.7 IDX=cu92
+    - TORCH_VERSION=1.5.0 PYTHON_VERSION=3.7 IDX=cu101
+    - TORCH_VERSION=1.5.0 PYTHON_VERSION=3.7 IDX=cu102
+    - TORCH_VERSION=1.5.0 PYTHON_VERSION=3.6 IDX=cpu
+    - TORCH_VERSION=1.5.0 PYTHON_VERSION=3.6 IDX=cu92
+    - TORCH_VERSION=1.5.0 PYTHON_VERSION=3.6 IDX=cu101
+    - TORCH_VERSION=1.5.0 PYTHON_VERSION=3.6 IDX=cu102
 
 jobs:
-  exclude:  # Exclude *all* macOS CUDA jobs and Windows CUDA 9.2/10.0 jobs.
+  exclude:  # Exclude *all* macOS CUDA jobs and Windows CUDA 9.2 jobs.
     - os: osx
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.8 IDX=cu92
+      env: TORCH_VERSION=1.5.0 PYTHON_VERSION=3.8 IDX=cu92
     - os: osx
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.8 IDX=cu100
+      env: TORCH_VERSION=1.5.0 PYTHON_VERSION=3.8 IDX=cu101
     - os: osx
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.8 IDX=cu101
+      env: TORCH_VERSION=1.5.0 PYTHON_VERSION=3.8 IDX=cu102
     - os: osx
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.7 IDX=cu92
+      env: TORCH_VERSION=1.5.0 PYTHON_VERSION=3.7 IDX=cu92
     - os: osx
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.7 IDX=cu100
+      env: TORCH_VERSION=1.5.0 PYTHON_VERSION=3.7 IDX=cu101
     - os: osx
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.7 IDX=cu101
+      env: TORCH_VERSION=1.5.0 PYTHON_VERSION=3.7 IDX=cu102
     - os: osx
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu92
+      env: TORCH_VERSION=1.5.0 PYTHON_VERSION=3.6 IDX=cu92
     - os: osx
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu100
+      env: TORCH_VERSION=1.5.0 PYTHON_VERSION=3.6 IDX=cu101
     - os: osx
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu101
-    - os: windows
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.8 IDX=cu92
-    - os: windows
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.8 IDX=cu100
-    - os: windows
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.7 IDX=cu92
-    - os: windows
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.7 IDX=cu100
+      env: TORCH_VERSION=1.5.0 PYTHON_VERSION=3.6 IDX=cu102
     - os: windows
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu92
+      env: TORCH_VERSION=1.5.0 PYTHON_VERSION=3.8 IDX=cu92
     - os: windows
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu100
+      env: TORCH_VERSION=1.5.0 PYTHON_VERSION=3.7 IDX=cu92
     - os: windows
-      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.8 IDX=cu101
+      env: TORCH_VERSION=1.5.0 PYTHON_VERSION=3.6 IDX=cu92
 
 install:
+  - source script/gcc.sh
   - source script/cuda.sh
   - source script/conda.sh
   - conda create --yes -n test python="${PYTHON_VERSION}"

README.md

@@ -30,7 +30,26 @@ All included operations work on varying data types and are implemented both for
 ### Binaries
 
 We provide pip wheels for all major OS/PyTorch/CUDA combinations, see [here](https://s3.eu-central-1.amazonaws.com/pytorch-geometric.com/whl/index.html).
-To install from binaries, simply run
+
+#### PyTorch 1.5.0
+
+To install the binaries for PyTorch 1.5.0, simply run
+
+```
+pip install torch-cluster==latest+${CUDA} -f https://pytorch-geometric.com/whl/torch-1.5.0.html
+```
+
+where `${CUDA}` should be replaced by either `cpu`, `cu92`, `cu101` or `cu102` depending on your PyTorch installation.
+
+|             | `cpu` | `cu92` | `cu101` | `cu102` |
+|-------------|-------|--------|---------|---------|
+| **Linux**   | ✅    | ✅     | ✅      | ✅      |
+| **Windows** | ✅    | ❌     | ✅      | ✅      |
+| **macOS**   | ✅    |        |         |         |
+
+#### PyTorch 1.4.0
+
+To install the binaries for PyTorch 1.4.0, simply run
 
 ```
 pip install torch-cluster==latest+${CUDA} -f https://pytorch-geometric.com/whl/torch-1.4.0.html

script/cuda.sh

@@ -12,14 +12,6 @@ if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "$IDX" = "cu92" ]; then
   export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
 fi
 
-if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "$IDX" = "cu100" ]; then
-  export CUDA_SHORT=10.0
-  export CUDA=10.0.130-1
-  export UBUNTU_VERSION=ubuntu1804
-  export CUBLAS=cuda-cublas-dev-10-0
-  export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
-fi
-
 if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "$IDX" = "cu101" ]; then
   export IDX=cu101
   export CUDA_SHORT=10.1
@@ -29,6 +21,15 @@ if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "$IDX" = "cu101" ]; then
   export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
 fi
 
+
+if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "$IDX" = "cu102" ]; then
+  export CUDA_SHORT=10.2
+  export CUDA=10.2.89-1
+  export UBUNTU_VERSION=ubuntu1804
+  export CUBLAS=libcublas-dev
+  export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
+fi
+
 if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "$IDX" = "cpu" ]; then
   export TOOLKIT=cpuonly
 fi
@@ -40,20 +41,20 @@ if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "$IDX" = "cu92" ]; then
   export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
 fi
 
-if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "$IDX" = "cu100" ]; then
-  export CUDA_SHORT=10.0
-  export CUDA_URL=https://developer.nvidia.com/compute/cuda/${CUDA_SHORT}/Prod/local_installers
-  export CUDA_FILE=cuda_${CUDA_SHORT}.130_411.31_win10
-  export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
-fi
-
 if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "$IDX" = "cu101" ]; then
   export CUDA_SHORT=10.1
   export CUDA_URL=https://developer.nvidia.com/compute/cuda/${CUDA_SHORT}/Prod/local_installers
   export CUDA_FILE=cuda_${CUDA_SHORT}.105_418.96_win10.exe
   export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
 fi
 
+if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "$IDX" = "cu102" ]; then
+  export CUDA_SHORT=10.2
+  export CUDA_URL=https://developer.download.nvidia.com/compute/cuda/${CUDA_SHORT}/Prod/local_installers
+  export CUDA_FILE=cuda_${CUDA_SHORT}.89_441.22_win10.exe
+  export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
+fi
+
 if [ "${TRAVIS_OS_NAME}" = "osx" ] && [ "$IDX" = "cpu" ]; then
   export TOOLKIT=""
 fi
@@ -80,6 +81,12 @@ if [ "${TRAVIS_OS_NAME}" = "linux" ] && [ "${IDX}" != "cpu" ]; then
 fi
 
 if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "${IDX}" != "cpu" ]; then
+  # Install NVIDIA drivers, see:
+  # https://github.com/pytorch/vision/blob/master/packaging/windows/internal/cuda_install.bat#L99-L102
+  curl -k -L "https://drive.google.com/u/0/uc?id=1injUyo3lnarMgWyRcXqKg4UGnN0ysmuq&export=download" --output "/tmp/gpu_driver_dlls.zip"
+  7z x "/tmp/gpu_driver_dlls.zip" -o"/c/Windows/System32"
+
+  # Install CUDA
   wget -nv "${CUDA_URL}/${CUDA_FILE}"
   PowerShell -Command "Start-Process -FilePath \"${CUDA_FILE}\" -ArgumentList \"-s nvcc_${CUDA_SHORT} cublas_dev_${CUDA_SHORT} cusparse_dev_${CUDA_SHORT}\" -Wait -NoNewWindow"
   CUDA_HOME=/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v${CUDA_SHORT}

script/gcc.sh

@@ -0,0 +1,13 @@
+#!/bin/bash
+
+if [ "${TRAVIS_OS_NAME}" = "linux" ]; then
+  sudo add-apt-repository ppa:ubuntu-toolchain-r/test --yes
+  sudo apt update
+  sudo apt install gcc-7 g++-7 --yes
+  sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-7 60 \
+                           --slave /usr/bin/g++ g++ /usr/bin/g++-7
+  sudo update-alternatives --config gcc
+  gcc --version
+  g++ --version
+fi
+

script/rename_wheel.py

@@ -5,7 +5,7 @@
 import shutil
 
 idx = sys.argv[1]
-assert idx in ['cpu', 'cu92', 'cu100', 'cu101']
+assert idx in ['cpu', 'cu92', 'cu101', 'cu102']
 
 dist_dir = osp.join(osp.dirname(osp.abspath(__file__)), '..', 'dist')
 wheels = glob.glob(osp.join('dist', '**', '*.whl'), recursive=True)

script/torch.sh

@@ -2,8 +2,8 @@
 
 # Fix "member may not be initialized" error on Windows: https://github.com/pytorch/pytorch/issues/27958
 if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "${IDX}" != "cpu" ]; then
-  sed -i.bak -e 's/constexpr/const/g' /c/tools/miniconda3/envs/test/lib/site-packages/torch/include/torch/csrc/jit/script/module.h
-  sed -i.bak -e 's/constexpr/const/g' /c/tools/miniconda3/envs/test/lib/site-packages/torch/include/torch/csrc/jit/argument_spec.h
+  sed -i.bak -e 's/constexpr/const/g' /c/tools/miniconda3/envs/test/lib/site-packages/torch/include/torch/csrc/jit/api/module.h
+  sed -i.bak -e 's/constexpr/const/g' /c/tools/miniconda3/envs/test/lib/site-packages/torch/include/torch/csrc/jit/runtime/argument_spec.h
   sed -i.bak -e 's/return \*(this->value)/return \*((type\*)this->value)/g' /c/tools/miniconda3/envs/test/lib/site-packages/torch/include/pybind11/cast.h
 fi