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

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Summary:
Removes 9.2 references in CI scripts and configs.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/65024

Reviewed By: driazati

Differential Revision: D30945948

Pulled By: janeyx99

fbshipit-source-id: 77890a00520c61500a934a90a74e3fcca84c09b5
This commit is contained in:
Jane Xu
2021-09-15 18:03:19 -07:00
committed by Facebook GitHub Bot
parent d9d8250e3f
commit 3ceecebed0
8 changed files with 8 additions and 41 deletions
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1
.circleci/README.md
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@ -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

6
.circleci/cimodel/data/binary_build_definitions.py
View File

@ -124,9 +124,9 @@ class Conf(object):
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:
@ -134,7 +134,7 @@ class Conf(object):
tags:
only: /v[0-9]+(\\.[0-9]+)*-rc[0-9]+/
package_type: manywheel
upload_subfolder: cu92
upload_subfolder: cu113
"""
return {
"binary_upload": OrderedDict({

7
.circleci/scripts/binary_windows_build.sh
View File

@ -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"

8
.circleci/scripts/binary_windows_test.sh
View File

@ -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"

14
.jenkins/caffe2/build.sh
View File

@ -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")

1
.jenkins/pytorch/common.sh
View File

@ -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

8
.jenkins/pytorch/macos-test.sh
View File

@ -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

4
.jenkins/pytorch/win-test-helpers/installation-helpers/install_magma.bat
View File

@ -5,7 +5,7 @@ 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
)
@ -13,7 +13,7 @@ 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
)