add torch1.10 to CI

Reviewed By: zhanghang1989

Differential Revision: D31853130

fbshipit-source-id: 749767cb24e88018ec3a613295d56f5c9d4b1899

Author: ppwwyyxx

.circleci/config.yml

@@ -10,10 +10,9 @@ cpu: &cpu
 
 gpu: &gpu
   machine:
-    #image: ubuntu-1604-cuda-10.1:201909-23
     # NOTE: use a cuda vesion that's supported by all our pytorch versions
-    image: ubuntu-1604-cuda-10.2:202012-01
-  resource_class: gpu.small
+    image: ubuntu-1604-cuda-11.1:202012-01
+  resource_class: gpu.nvidia.small
 
 windows-cpu: &windows_cpu
   machine:
@@ -226,22 +225,26 @@ workflows:
   regular_test:
     jobs:
       - linux_cpu_tests:
-          name: linux_cpu_tests_pytorch1.9
-          pytorch_version: '1.9.0+cpu'
-          torchvision_version: '0.10.0+cpu'
+          name: linux_cpu_tests_pytorch1.10
+          pytorch_version: '1.10.0+cpu'
+          torchvision_version: '0.11.1+cpu'
       - linux_gpu_tests:
           name: linux_gpu_tests_pytorch1.8
-          pytorch_version: '1.8.1+cu102'
-          torchvision_version: '0.9.1+cu102'
+          pytorch_version: '1.8.1+cu111'
+          torchvision_version: '0.9.1+cu111'
       - linux_gpu_tests:
           name: linux_gpu_tests_pytorch1.9
-          pytorch_version: '1.9+cu102'
-          torchvision_version: '0.10+cu102'
+          pytorch_version: '1.9+cu111'
+          torchvision_version: '0.10+cu111'
       - linux_gpu_tests:
-          name: linux_gpu_tests_pytorch1.9_python39
-          pytorch_version: '1.9+cu102'
-          torchvision_version: '0.10+cu102'
+          name: linux_gpu_tests_pytorch1.10
+          pytorch_version: '1.10+cu111'
+          torchvision_version: '0.11.1+cu111'
+      - linux_gpu_tests:
+          name: linux_gpu_tests_pytorch1.10_python39
+          pytorch_version: '1.10+cu111'
+          torchvision_version: '0.11.1+cu111'
           python_version: '3.9.6'
       - windows_cpu_build:
-          pytorch_version: '1.9+cpu'
-          torchvision_version: '0.10+cpu'
+          pytorch_version: '1.10+cpu'
+          torchvision_version: '0.11.1+cpu'

.github/workflows/workflow.yml

@@ -15,9 +15,10 @@ jobs:
         with:
           python-version: 3.6
       - name: Install dependencies
+        # flake8-bugbear flake8-comprehensions are useful but not available internally
         run: |
           python -m pip install --upgrade pip
-          python -m pip install flake8==3.8.1 flake8-bugbear flake8-comprehensions isort==4.3.21
+          python -m pip install flake8==3.8.1 isort==4.3.21
           python -m pip install black==21.4b2
           flake8 --version
       - name: Lint
@@ -36,12 +37,14 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        torch: [1.8, 1.9]
+        torch: ["1.8", "1.9", "1.10"]
         include:
-          - torch: 1.8
+          - torch: "1.8"
             torchvision: 0.9
-          - torch: 1.9
+          - torch: "1.9"
             torchvision: "0.10"
+          - torch: "1.10"
+            torchvision: "0.11.1"
     steps:
       - name: Checkout
         uses: actions/checkout@v2

docker/Dockerfile

@@ -1,4 +1,5 @@
-FROM nvidia/cuda:11.1.1-cudnn8-devel
+FROM nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04
+# use an older system (18.04) to avoid opencv incompatibility (issue#3524)
 
 ENV DEBIAN_FRONTEND noninteractive
 RUN apt-get update && apt-get install -y \
@@ -20,7 +21,7 @@ RUN wget https://bootstrap.pypa.io/get-pip.py && \
 # install dependencies
 # See https://pytorch.org/ for other options if you use a different version of CUDA
 RUN pip install --user tensorboard cmake   # cmake from apt-get is too old
-RUN pip install --user torch==1.9 torchvision==0.10 -f https://download.pytorch.org/whl/cu111/torch_stable.html
+RUN pip install --user torch==1.10 torchvision==0.11.1 -f https://download.pytorch.org/whl/cu111/torch_stable.html
 
 RUN pip install --user 'git+https://github.com/facebookresearch/fvcore'
 # install detectron2

docker/deploy.Dockerfile

@@ -9,22 +9,23 @@ USER appuser
 ENV HOME=/home/appuser
 WORKDIR $HOME
 
-ENV CMAKE_PREFIX_PATH=$HOME/.local/lib/python3.8/site-packages/torch/
+# Let torchvision find libtorch
+ENV CMAKE_PREFIX_PATH=$HOME/.local/lib/python3.6/site-packages/torch/
 
 RUN sudo apt-get update && sudo apt-get install libgflags-dev libgoogle-glog-dev libopencv-dev --yes
 RUN pip install mkl-include
 
-# Install the correct version of protobuf:
-RUN wget https://github.com/protocolbuffers/protobuf/releases/download/v3.11.4/protobuf-cpp-3.11.4.tar.gz && tar xf protobuf-cpp-3.11.4.tar.gz
+# Install the correct version of protobuf (find it at torch/caffe2/proto/caffe2.pb.h after installing pytorch):
+RUN wget https://github.com/protocolbuffers/protobuf/releases/download/v3.13.0/protobuf-cpp-3.13.0.tar.gz && tar xf protobuf-cpp-3.13.0.tar.gz
 RUN export CXXFLAGS=-D_GLIBCXX_USE_CXX11_ABI=$(python3 -c 'import torch; print(int(torch.compiled_with_cxx11_abi()))'); \
-	cd protobuf-3.11.4 && \
-	./configure --prefix=$HOME/.local && make && make install
+	cd protobuf-3.13.0 && \
+	./configure --prefix=$HOME/.local && make -j && make install
 
 # install libtorchvision
-RUN git clone --branch v0.10.0 https://github.com/pytorch/vision/
+RUN git clone --branch v0.11.1 https://github.com/pytorch/vision/
 RUN mkdir vision/build && cd vision/build && \
 	cmake .. -DCMAKE_INSTALL_PREFIX=$HOME/.local -DCMAKE_BUILD_TYPE=Release -DWITH_CUDA=on -DTORCH_CUDA_ARCH_LIST=$TORCH_CUDA_ARCH_LIST && \
-	make && make install
+	make -j && make install
 
 # make our installation take effect
 ENV CPATH=$HOME/.local/include \