.circleci/.jenkins: Remove 9.2 references in CI (#65024)

janeyx99 · facebook-github-bot · commit 3ceecebed0ce · 2021-09-15T18:06:57.000-07:00
Summary: Removes 9.2 references in CI scripts and configs. Pull Request resolved: #65024 Reviewed By: driazati Differential Revision: D30945948 Pulled By: janeyx99 fbshipit-source-id: 77890a00520c61500a934a90a74e3fcca84c09b5
diff --git a/.circleci/README.md b/.circleci/README.md
@@ -343,7 +343,6 @@ All linux builds occur in docker images. The docker images are
     * Has ALL CUDA versions installed. The script pytorch/builder/conda/switch_cuda_version.sh sets /usr/local/cuda to a symlink to e.g. /usr/local/cuda-10.0 to enable different CUDA builds
     * Also used for cpu builds
 * pytorch/manylinux-cuda90
-* pytorch/manylinux-cuda92
 * pytorch/manylinux-cuda100
     * Also used for cpu builds
 
diff --git a/.circleci/cimodel/data/binary_build_definitions.py b/.circleci/cimodel/data/binary_build_definitions.py
@@ -124,17 +124,17 @@ def gen_upload_job(self, phase, requires_dependency):
         Output looks similar to:
 
       - binary_upload:
-          name: binary_linux_manywheel_3_7m_cu92_devtoolset7_nightly_upload
+          name: binary_linux_manywheel_3_7m_cu113_devtoolset7_nightly_upload
           context: org-member
-          requires: binary_linux_manywheel_3_7m_cu92_devtoolset7_nightly_test
+          requires: binary_linux_manywheel_3_7m_cu113_devtoolset7_nightly_test
           filters:
             branches:
               only:
                 - nightly
             tags:
               only: /v[0-9]+(\\.[0-9]+)*-rc[0-9]+/
           package_type: manywheel
-          upload_subfolder: cu92
+          upload_subfolder: cu113
         """
         return {
             "binary_upload": OrderedDict({
diff --git a/.circleci/scripts/binary_windows_build.sh b/.circleci/scripts/binary_windows_build.sh
@@ -8,12 +8,7 @@ export CUDA_VERSION="${DESIRED_CUDA/cu/}"
 export USE_SCCACHE=1
 export SCCACHE_BUCKET=ossci-compiler-cache-windows
 export NIGHTLIES_PYTORCH_ROOT="$PYTORCH_ROOT"
-
-if [[ "$CUDA_VERSION" == "92" || "$CUDA_VERSION" == "100" ]]; then
-  export VC_YEAR=2017
-else
-  export VC_YEAR=2019
-fi
+export VC_YEAR=2019
 
 if [[ "${DESIRED_CUDA}" == "cu111" || "${DESIRED_CUDA}" == "cu113" ]]; then
     export BUILD_SPLIT_CUDA="ON"
diff --git a/.circleci/scripts/binary_windows_test.sh b/.circleci/scripts/binary_windows_test.sh
@@ -4,13 +4,7 @@ set -eux -o pipefail
 source "/c/w/env"
 
 export CUDA_VERSION="${DESIRED_CUDA/cu/}"
-export VC_YEAR=2017
-
-if [[ "$CUDA_VERSION" == "92" || "$CUDA_VERSION" == "100" ]]; then
-  export VC_YEAR=2017
-else
-  export VC_YEAR=2019
-fi
+export VC_YEAR=2019
 
 pushd "$BUILDER_ROOT"
 
diff --git a/.jenkins/caffe2/build.sh b/.jenkins/caffe2/build.sh
@@ -84,20 +84,6 @@ build_args+=("BUILD_TEST=ON")
 build_args+=("INSTALL_TEST=ON")
 build_args+=("USE_ZSTD=ON")
 
-if [[ $BUILD_ENVIRONMENT == *py2-cuda9.0-cudnn7-ubuntu16.04* ]]; then
-  # removing http:// duplicate in favor of nvidia-ml.list
-  # which is https:// version of the same repo
-  sudo rm -f /etc/apt/sources.list.d/nvidia-machine-learning.list
-  curl --retry 3 -o ./nvinfer-runtime-trt-repo-ubuntu1604-5.0.2-ga-cuda9.0_1-1_amd64.deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/nvinfer-runtime-trt-repo-ubuntu1604-5.0.2-ga-cuda9.0_1-1_amd64.deb
-  sudo dpkg -i ./nvinfer-runtime-trt-repo-ubuntu1604-5.0.2-ga-cuda9.0_1-1_amd64.deb
-  sudo apt-key add /var/nvinfer-runtime-trt-repo-5.0.2-ga-cuda9.0/7fa2af80.pub
-  sudo apt-get -qq update
-  sudo apt-get install -y --no-install-recommends libnvinfer5=5.0.2-1+cuda9.0 libnvinfer-dev=5.0.2-1+cuda9.0
-  rm ./nvinfer-runtime-trt-repo-ubuntu1604-5.0.2-ga-cuda9.0_1-1_amd64.deb
-
-  build_args+=("USE_TENSORRT=ON")
-fi
-
 if [[ $BUILD_ENVIRONMENT == *cuda* ]]; then
   build_args+=("USE_CUDA=ON")
   build_args+=("USE_NNPACK=OFF")
diff --git a/.jenkins/pytorch/common.sh b/.jenkins/pytorch/common.sh
@@ -139,7 +139,6 @@ fi
 # Alternatively we could point cmake to the right place
 # export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"}
 if [[ "$BUILD_ENVIRONMENT" == *xla-linux-bionic* ]] || \
-   [[ "$BUILD_ENVIRONMENT" == *linux-xenial-cuda9-cudnn7-py2* ]] || \
    [[ "$BUILD_ENVIRONMENT" == *centos* ]] || \
    [[ "$BUILD_ENVIRONMENT" == *linux-bionic* ]]; then
   if ! which conda; then
diff --git a/.jenkins/pytorch/macos-test.sh b/.jenkins/pytorch/macos-test.sh
@@ -20,13 +20,7 @@ export CMAKE_PREFIX_PATH=${WORKSPACE_DIR}/miniconda3/
 
 # Test PyTorch
 if [ -z "${IN_CI}" ]; then
-  if [[ "${BUILD_ENVIRONMENT}" == *cuda9.2* ]]; then
-    # Eigen gives "explicit specialization of class must precede its first use" error
-    # when compiling with Xcode 9.1 toolchain, so we have to use Xcode 8.2 toolchain instead.
-    export DEVELOPER_DIR=/Library/Developer/CommandLineTools
-  else
-    export DEVELOPER_DIR=/Applications/Xcode9.app/Contents/Developer
-  fi
+  export DEVELOPER_DIR=/Applications/Xcode9.app/Contents/Developer
 fi
 
 # Download torch binaries in the test jobs
diff --git a/.jenkins/pytorch/win-test-helpers/installation-helpers/install_magma.bat b/.jenkins/pytorch/win-test-helpers/installation-helpers/install_magma.bat
@@ -5,15 +5,15 @@ if not "%USE_CUDA%"=="1" (
 )
 
 if x%CUDA_VERSION:.=%==x%CUDA_VERSION% (
-    echo CUDA version %CUDA_VERSION% format isn't correct, which doesn't contain '.' 
+    echo CUDA version %CUDA_VERSION% format isn't correct, which doesn't contain '.'
     exit /b 1
 )
 
 set VERSION_SUFFIX=%CUDA_VERSION:.=%
 set CUDA_SUFFIX=cuda%VERSION_SUFFIX%
 
 if "%CUDA_SUFFIX%" == "" (
-  echo unknown CUDA version, please set `CUDA_VERSION` higher than 9.2
+  echo unknown CUDA version, please set `CUDA_VERSION` higher than 10.2
   exit /b 1
 )
 
