mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 12:54:11 +08:00
Fix more URLs (#153277)
Or ignore them. Found by running the lint_urls.sh script locally with https://github.com/pytorch/pytorch/pull/153246 Pull Request resolved: https://github.com/pytorch/pytorch/pull/153277 Approved by: https://github.com/malfet
This commit is contained in:
Anthony Shoumikhin
committed by
PyTorch MergeBot
PyTorch MergeBot
parent
de92296bbb
commit
7d39e73c57
@ -10,5 +10,3 @@ example: `py2-cuda9.0-cudnn7-ubuntu16.04`. The Docker images that are
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built on Jenkins and are used in triggered builds already have this
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environment variable set in their manifest. Also see
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`./docker/jenkins/*/Dockerfile` and search for `BUILD_ENVIRONMENT`.
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Our Jenkins installation is located at https://ci.pytorch.org/jenkins/.
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@ -17,9 +17,8 @@ RUN bash ./install_base.sh && rm install_base.sh
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# Update CentOS git version
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RUN yum -y remove git
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RUN yum -y remove git-*
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RUN yum -y install https://packages.endpoint.com/rhel/7/os/x86_64/endpoint-repo-1.9-1.x86_64.rpm || \
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(yum -y install https://packages.endpointdev.com/rhel/7/os/x86_64/endpoint-repo-1.9-1.x86_64.rpm && \
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sed -i "s/packages.endpoint/packages.endpointdev/" /etc/yum.repos.d/endpoint.repo)
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RUN yum -y install https://packages.endpointdev.com/rhel/7/os/x86_64/endpoint-repo-1.9-1.x86_64.rpm && \
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sed -i 's/packages.endpoint/packages.endpointdev/' /etc/yum.repos.d/endpoint.repo
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RUN yum install -y git
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# Install devtoolset
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@ -7,7 +7,7 @@ if [ -n "$ANACONDA_PYTHON_VERSION" ]; then
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BASE_URL="https://repo.anaconda.com/miniconda"
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CONDA_FILE="Miniconda3-latest-Linux-x86_64.sh"
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if [[ $(uname -m) == "aarch64" ]] || [[ "$BUILD_ENVIRONMENT" == *xpu* ]]; then
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BASE_URL="https://github.com/conda-forge/miniforge/releases/latest/download"
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BASE_URL="https://github.com/conda-forge/miniforge/releases/latest/download" # @lint-ignore
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CONDA_FILE="Miniforge3-Linux-$(uname -m).sh"
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fi
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@ -3,7 +3,7 @@
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set -uex -o pipefail
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PYTHON_DOWNLOAD_URL=https://www.python.org/ftp/python
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PYTHON_DOWNLOAD_GITHUB_BRANCH=https://github.com/python/cpython/archive/refs/heads
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PYTHON_DOWNLOAD_GITHUB_BRANCH=https://github.com/python/cpython/archive/refs/heads # @lint-ignore
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GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py
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# Python versions to be installed in /opt/$VERSION_NO
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@ -97,7 +97,7 @@ find /opt/_internal -type f -print0 \
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| xargs -0 -n1 strip --strip-unneeded 2>/dev/null || true
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# We do not need the Python test suites, or indeed the precompiled .pyc and
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# .pyo files. Partially cribbed from:
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# https://github.com/docker-library/python/blob/master/3.4/slim/Dockerfile
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# https://github.com/docker-library/python/blob/master/3.4/slim/Dockerfile # @lint-ignore
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find /opt/_internal \
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\( -type d -a -name test -o -name tests \) \
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-o \( -type f -a -name '*.pyc' -o -name '*.pyo' \) \
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@ -2,7 +2,7 @@
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# Helper utilities for build
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# Script used only in CD pipeline
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OPENSSL_DOWNLOAD_URL=https://www.openssl.org/source/old/1.1.1/
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OPENSSL_DOWNLOAD_URL=https://www.openssl.org/source/old/1.1.1/ # @lint-ignore
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CURL_DOWNLOAD_URL=https://curl.se/download
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AUTOCONF_DOWNLOAD_URL=https://ftp.gnu.org/gnu/autoconf
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@ -10,5 +10,3 @@ example: `py2-cuda9.0-cudnn7-ubuntu16.04`. The Docker images that are
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built on Jenkins and are used in triggered builds already have this
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environment variable set in their manifest. Also see
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`./docker/jenkins/*/Dockerfile` and search for `BUILD_ENVIRONMENT`.
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Our Jenkins installation is located at https://ci.pytorch.org/jenkins/.
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@ -24,7 +24,7 @@ if "%CUDA_SUFFIX%" == "" (
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if "%REBUILD%"=="" (
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if "%BUILD_ENVIRONMENT%"=="" (
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curl --retry 3 --retry-all-errors -k https://s3.amazonaws.com/ossci-windows/magma_2.5.4_%CUDA_SUFFIX%_%BUILD_TYPE%.7z --output %TMP_DIR_WIN%\magma_2.5.4_%CUDA_SUFFIX%_%BUILD_TYPE%.7z
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curl --retry 3 --retry-all-errors -k https://s3.amazonaws.com/ossci-windows/magma_2.5.4_%CUDA_SUFFIX%_%BUILD_TYPE%.7z --output %TMP_DIR_WIN%\magma_2.5.4_%CUDA_SUFFIX%_%BUILD_TYPE%.7z & REM @lint-ignore
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) else (
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aws s3 cp s3://ossci-windows/magma_2.5.4_%CUDA_SUFFIX%_%BUILD_TYPE%.7z %TMP_DIR_WIN%\magma_2.5.4_%CUDA_SUFFIX%_%BUILD_TYPE%.7z --quiet
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)
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@ -1,6 +1,6 @@
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@echo off
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curl -k https://www.7-zip.org/a/7z1805-x64.exe -O
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curl -k -L "https://sourceforge.net/projects/sevenzip/files/7-Zip/18.05/7z1805-x64.exe/download" -o 7z1805-x64.exe
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if errorlevel 1 exit /b 1
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start /wait 7z1805-x64.exe /S
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@ -8,7 +8,7 @@ goto submodule
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:clone_pytorch
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git clone https://github.com/%PYTORCH_REPO%/%MODULE_NAME%
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git clone https://github.com/%PYTORCH_REPO%/%MODULE_NAME% & REM @lint-ignore
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cd %MODULE_NAME%
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@ -35,7 +35,7 @@ exit /b 1
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set CUDA_INSTALL_EXE=cuda_11.8.0_522.06_windows.exe
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if not exist "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%" (
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curl -k -L "https://ossci-windows.s3.amazonaws.com/%CUDA_INSTALL_EXE%" --output "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%"
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curl -k -L "https://ossci-windows.s3.amazonaws.com/%CUDA_INSTALL_EXE%" --output "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%" & REM @lint-ignore
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if errorlevel 1 exit /b 1
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set "CUDA_SETUP_FILE=%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%"
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set "ARGS=cuda_profiler_api_11.8 thrust_11.8 nvcc_11.8 cuobjdump_11.8 nvprune_11.8 nvprof_11.8 cupti_11.8 cublas_11.8 cublas_dev_11.8 cudart_11.8 cufft_11.8 cufft_dev_11.8 curand_11.8 curand_dev_11.8 cusolver_11.8 cusolver_dev_11.8 cusparse_11.8 cusparse_dev_11.8 npp_11.8 npp_dev_11.8 nvrtc_11.8 nvrtc_dev_11.8 nvml_dev_11.8 nvtx_11.8"
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@ -45,7 +45,7 @@ set CUDNN_FOLDER=cudnn-windows-x86_64-9.5.0.50_cuda11-archive
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set CUDNN_LIB_FOLDER="lib"
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set "CUDNN_INSTALL_ZIP=%CUDNN_FOLDER%.zip"
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if not exist "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%" (
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curl -k -L "http://s3.amazonaws.com/ossci-windows/%CUDNN_INSTALL_ZIP%" --output "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%"
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curl -k -L "http://s3.amazonaws.com/ossci-windows/%CUDNN_INSTALL_ZIP%" --output "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%" & REM @lint-ignore
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if errorlevel 1 exit /b 1
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set "CUDNN_SETUP_FILE=%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%"
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)
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@ -62,7 +62,7 @@ goto cuda_common
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set CUDA_INSTALL_EXE=cuda_12.4.0_551.61_windows.exe
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if not exist "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%" (
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curl -k -L "https://ossci-windows.s3.amazonaws.com/%CUDA_INSTALL_EXE%" --output "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%"
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curl -k -L "https://ossci-windows.s3.amazonaws.com/%CUDA_INSTALL_EXE%" --output "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%" & REM @lint-ignore
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if errorlevel 1 exit /b 1
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set "CUDA_SETUP_FILE=%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%"
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set "ARGS=cuda_profiler_api_12.4 thrust_12.4 nvcc_12.4 cuobjdump_12.4 nvprune_12.4 nvprof_12.4 cupti_12.4 cublas_12.4 cublas_dev_12.4 cudart_12.4 cufft_12.4 cufft_dev_12.4 curand_12.4 curand_dev_12.4 cusolver_12.4 cusolver_dev_12.4 cusparse_12.4 cusparse_dev_12.4 npp_12.4 npp_dev_12.4 nvrtc_12.4 nvrtc_dev_12.4 nvml_dev_12.4 nvjitlink_12.4 nvtx_12.4"
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@ -72,7 +72,7 @@ set CUDNN_FOLDER=cudnn-windows-x86_64-9.5.0.50_cuda12-archive
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set CUDNN_LIB_FOLDER="lib"
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set "CUDNN_INSTALL_ZIP=%CUDNN_FOLDER%.zip"
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if not exist "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%" (
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curl -k -L "http://s3.amazonaws.com/ossci-windows/%CUDNN_INSTALL_ZIP%" --output "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%"
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curl -k -L "http://s3.amazonaws.com/ossci-windows/%CUDNN_INSTALL_ZIP%" --output "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%" & REM @lint-ignore
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if errorlevel 1 exit /b 1
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set "CUDNN_SETUP_FILE=%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%"
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)
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@ -89,7 +89,7 @@ goto cuda_common
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set CUDA_INSTALL_EXE=cuda_12.6.2_560.94_windows.exe
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if not exist "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%" (
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curl -k -L "https://ossci-windows.s3.amazonaws.com/%CUDA_INSTALL_EXE%" --output "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%"
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curl -k -L "https://ossci-windows.s3.amazonaws.com/%CUDA_INSTALL_EXE%" --output "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%" & REM @lint-ignore
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if errorlevel 1 exit /b 1
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set "CUDA_SETUP_FILE=%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%"
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set "ARGS=cuda_profiler_api_12.6 thrust_12.6 nvcc_12.6 cuobjdump_12.6 nvprune_12.6 nvprof_12.6 cupti_12.6 cublas_12.6 cublas_dev_12.6 cudart_12.6 cufft_12.6 cufft_dev_12.6 curand_12.6 curand_dev_12.6 cusolver_12.6 cusolver_dev_12.6 cusparse_12.6 cusparse_dev_12.6 npp_12.6 npp_dev_12.6 nvrtc_12.6 nvrtc_dev_12.6 nvml_dev_12.6 nvjitlink_12.6 nvtx_12.6"
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@ -99,7 +99,7 @@ set CUDNN_FOLDER=cudnn-windows-x86_64-9.5.0.50_cuda12-archive
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set CUDNN_LIB_FOLDER="lib"
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set "CUDNN_INSTALL_ZIP=%CUDNN_FOLDER%.zip"
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if not exist "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%" (
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curl -k -L "http://s3.amazonaws.com/ossci-windows/%CUDNN_INSTALL_ZIP%" --output "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%"
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curl -k -L "http://s3.amazonaws.com/ossci-windows/%CUDNN_INSTALL_ZIP%" --output "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%" & REM @lint-ignore
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if errorlevel 1 exit /b 1
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set "CUDNN_SETUP_FILE=%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%"
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)
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@ -116,7 +116,7 @@ goto cuda_common
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set CUDA_INSTALL_EXE=cuda_12.8.0_571.96_windows.exe
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if not exist "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%" (
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curl -k -L "https://ossci-windows.s3.amazonaws.com/%CUDA_INSTALL_EXE%" --output "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%"
|
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curl -k -L "https://ossci-windows.s3.amazonaws.com/%CUDA_INSTALL_EXE%" --output "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%" & REM @lint-ignore
|
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if errorlevel 1 exit /b 1
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set "CUDA_SETUP_FILE=%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%"
|
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set "ARGS=cuda_profiler_api_12.8 thrust_12.8 nvcc_12.8 cuobjdump_12.8 nvprune_12.8 nvprof_12.8 cupti_12.8 cublas_12.8 cublas_dev_12.8 cudart_12.8 cufft_12.8 cufft_dev_12.8 curand_12.8 curand_dev_12.8 cusolver_12.8 cusolver_dev_12.8 cusparse_12.8 cusparse_dev_12.8 npp_12.8 npp_dev_12.8 nvrtc_12.8 nvrtc_dev_12.8 nvml_dev_12.8 nvjitlink_12.8 nvtx_12.8"
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@ -126,7 +126,7 @@ set CUDNN_FOLDER=cudnn-windows-x86_64-9.7.0.66_cuda12-archive
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||||
set CUDNN_LIB_FOLDER="lib"
|
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set "CUDNN_INSTALL_ZIP=%CUDNN_FOLDER%.zip"
|
||||
if not exist "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%" (
|
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curl -k -L "http://s3.amazonaws.com/ossci-windows/%CUDNN_INSTALL_ZIP%" --output "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%"
|
||||
curl -k -L "http://s3.amazonaws.com/ossci-windows/%CUDNN_INSTALL_ZIP%" --output "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%" & REM @lint-ignore
|
||||
if errorlevel 1 exit /b 1
|
||||
set "CUDNN_SETUP_FILE=%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%"
|
||||
)
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
set WIN_DRIVER_VN=528.89
|
||||
set "DRIVER_DOWNLOAD_LINK=https://ossci-windows.s3.amazonaws.com/%WIN_DRIVER_VN%-data-center-tesla-desktop-winserver-2016-2019-2022-dch-international.exe"
|
||||
set "DRIVER_DOWNLOAD_LINK=https://ossci-windows.s3.amazonaws.com/%WIN_DRIVER_VN%-data-center-tesla-desktop-winserver-2016-2019-2022-dch-international.exe" & REM @lint-ignore
|
||||
curl --retry 3 -kL %DRIVER_DOWNLOAD_LINK% --output %WIN_DRIVER_VN%-data-center-tesla-desktop-winserver-2016-2019-2022-dch-international.exe
|
||||
if errorlevel 1 exit /b 1
|
||||
|
||||
|
||||
@ -37,7 +37,7 @@ if "%DEBUG%" == "1" (
|
||||
if not "%CUDA_VERSION%" == "cpu" (
|
||||
rmdir /s /q magma_%CUDA_PREFIX%_%BUILD_TYPE%
|
||||
del magma_%CUDA_PREFIX%_%BUILD_TYPE%.7z
|
||||
curl -k https://s3.amazonaws.com/ossci-windows/magma_%MAGMA_VERSION%_%CUDA_PREFIX%_%BUILD_TYPE%.7z -o magma_%CUDA_PREFIX%_%BUILD_TYPE%.7z
|
||||
curl -k https://s3.amazonaws.com/ossci-windows/magma_%MAGMA_VERSION%_%CUDA_PREFIX%_%BUILD_TYPE%.7z -o magma_%CUDA_PREFIX%_%BUILD_TYPE%.7z & REM @lint-ignore
|
||||
7z x -aoa magma_%CUDA_PREFIX%_%BUILD_TYPE%.7z -omagma_%CUDA_PREFIX%_%BUILD_TYPE%
|
||||
set LIB=%CD%\magma_%CUDA_PREFIX%_%BUILD_TYPE%\lib;%LIB%
|
||||
)
|
||||
|
||||
2
.github/scripts/label_utils.py
vendored
2
.github/scripts/label_utils.py
vendored
@ -45,7 +45,7 @@ def get_last_page_num_from_header(header: Any) -> int:
|
||||
# rel="next", <https://api.github.com/repositories/65600975/labels?per_page=100&page=3>; rel="last"
|
||||
link_info = header["link"]
|
||||
# Docs does not specify that it should be present for projects with just few labels
|
||||
# And https://github.com/malfet/deleteme/actions/runs/7334565243/job/19971396887 it's not the case
|
||||
# And https://github.com/malfet/deleteme/actions/runs/7334565243/job/19971396887 it's not the case # @lint-ignore
|
||||
if link_info is None:
|
||||
return 1
|
||||
prefix = "&page="
|
||||
|
||||
2
.github/scripts/test_filter_test_configs.py
vendored
2
.github/scripts/test_filter_test_configs.py
vendored
@ -807,7 +807,7 @@ class TestConfigFilter(TestCase):
|
||||
# test bad things
|
||||
pr_body = (
|
||||
"fixes189 fixeshttps://github.com/pytorch/pytorch/issues/75123 "
|
||||
"closedhttps://githubcom/pytorch/pytorch/issues/75123"
|
||||
"closedhttps://githubcom/pytorch/pytorch/issues/75123" # @lint-ignore
|
||||
"fix 234, fixes # 45, fixing #123, close 234, closes#45, closing #123 resolve 234, "
|
||||
"resolves #45, resolving #123"
|
||||
)
|
||||
|
||||
2
.github/scripts/trymerge.py
vendored
2
.github/scripts/trymerge.py
vendored
@ -2031,7 +2031,7 @@ def check_for_sev(org: str, project: str, skip_mandatory_checks: bool) -> None:
|
||||
response = cast(
|
||||
dict[str, Any],
|
||||
gh_fetch_json_list(
|
||||
"https://api.github.com/search/issues",
|
||||
"https://api.github.com/search/issues", # @lint-ignore
|
||||
# Having two label: queries is an AND operation
|
||||
params={
|
||||
"q": f'repo:{org}/{project} is:open is:issue label:"ci: sev" label:"merge blocking"'
|
||||
|
||||
8
.github/scripts/tryrebase.py
vendored
8
.github/scripts/tryrebase.py
vendored
@ -132,17 +132,17 @@ def rebase_ghstack_onto(
|
||||
# The contents of a successful push result should look like:
|
||||
# Summary of changes (ghstack 0.6.0)
|
||||
|
||||
# - Updated https://github.com/clee2000/random-testing/pull/2
|
||||
# - Updated https://github.com/clee2000/random-testing/pull/1
|
||||
# - Updated https://github.com/clee2000/random-testing-public/pull/2
|
||||
# - Updated https://github.com/clee2000/random-testing-public/pull/1
|
||||
|
||||
# Facebook employees can import your changes by running
|
||||
# (on a Facebook machine):
|
||||
|
||||
# ghimport -s https://github.com/clee2000/random-testing/pull/2
|
||||
# ghimport -s https://github.com/clee2000/random-testing-public/pull/2
|
||||
|
||||
# If you want to work on this diff stack on another machine:
|
||||
|
||||
# ghstack checkout https://github.com/clee2000/random-testing/pull/2
|
||||
# ghstack checkout https://github.com/clee2000/random-testing-public/pull/2
|
||||
org, project = repo.gh_owner_and_name()
|
||||
for line in push_result.splitlines():
|
||||
if "Updated" in line:
|
||||
|
||||
2
.github/workflows/docker-builds.yml
vendored
2
.github/workflows/docker-builds.yml
vendored
@ -128,7 +128,7 @@ jobs:
|
||||
docker-image: ${{ steps.build-docker-image.outputs.docker-image }}
|
||||
|
||||
- uses: nick-fields/retry@7152eba30c6575329ac0576536151aca5a72780e # v3.0.0
|
||||
name: Push to https://https://ghcr.io/
|
||||
name: Push to https://ghcr.io/
|
||||
id: push-to-ghcr-io
|
||||
if: ${{ github.event_name == 'push' }}
|
||||
env:
|
||||
|
||||
@ -113,4 +113,4 @@ preferred-citation:
|
||||
publisher:
|
||||
name: ACM
|
||||
doi: "10.1145/3620665.3640366"
|
||||
url: "https://pytorch.org/assets/pytorch2-2.pdf"
|
||||
url: "https://docs.pytorch.org/assets/pytorch2-2.pdf"
|
||||
|
||||
@ -149,7 +149,7 @@ source venv/bin/activate # or `& .\venv\Scripts\Activate.ps1` on Windows
|
||||
|
||||
- If you encounter an error such as
|
||||
```
|
||||
fatal: unable to access 'https://github.com/pybind11/pybind11.git': could not load PEM client certificate ...
|
||||
fatal: unable to access 'https://github.com/pybind/pybind11.git': could not load PEM client certificate ...
|
||||
```
|
||||
this is likely that you are using HTTP proxying and the certificate expired. To check if the certificate is valid, run
|
||||
`git config --global --list` and search for config like `http.proxysslcert=<cert_file>`. Then check certificate valid date by running
|
||||
@ -434,7 +434,7 @@ PyTorch has two main types of documentation:
|
||||
These are the docs that you see over at [our docs website](https://pytorch.org/docs).
|
||||
- **Developer facing documentation**:
|
||||
Developer facing documentation is spread around our READMEs in our codebase and in
|
||||
the [PyTorch Developer Wiki](https://pytorch.org/wiki).
|
||||
the [PyTorch Developer Wiki](https://github.com/pytorch/pytorch/wiki).
|
||||
If you're interested in adding new developer docs, please read this [page on the wiki](https://github.com/pytorch/pytorch/wiki/Where-or-how-should-I-add-documentation) on our best practices for where to put it.
|
||||
|
||||
The rest of this section is about user-facing documentation.
|
||||
@ -988,7 +988,7 @@ If you are working on the CUDA code, here are some useful CUDA debugging tips:
|
||||
3. CUDA supports a lot of C++11/14 features such as, `std::numeric_limits`, `std::nextafter`,
|
||||
`std::tuple` etc. in device code. Many of such features are possible because of the
|
||||
[--expt-relaxed-constexpr](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#constexpr-functions)
|
||||
nvcc flag. There is a known [issue](https://github.com/ROCm-Developer-Tools/HIP/issues/374)
|
||||
nvcc flag. There is a known [issue](https://github.com/ROCm/hip/issues/374)
|
||||
that ROCm errors out on device code, which uses such stl functions.
|
||||
4. A good performance metric for a CUDA kernel is the
|
||||
[Effective Memory Bandwidth](https://devblogs.nvidia.com/how-implement-performance-metrics-cuda-cc/).
|
||||
@ -1135,7 +1135,7 @@ CUDA, MSVC, and PyTorch versions are interdependent; please install matching ver
|
||||
| 10.2 | Visual Studio 2019 (16.X) (`_MSC_VER` < 1930) | 1.5.0 ~ 1.7.0 |
|
||||
| 11.0 | Visual Studio 2019 (16.X) (`_MSC_VER` < 1930) | 1.7.0 |
|
||||
|
||||
Note: There's a [compilation issue](https://github.com/oneapi-src/oneDNN/issues/812) in several Visual Studio 2019 versions since 16.7.1, so please make sure your Visual Studio 2019 version is not in 16.7.1 ~ 16.7.5
|
||||
Note: There's a [compilation issue](https://github.com/uxlfoundation/oneDNN/issues/812) in several Visual Studio 2019 versions since 16.7.1, so please make sure your Visual Studio 2019 version is not in 16.7.1 ~ 16.7.5
|
||||
|
||||
## Pre-commit tidy/linting hook
|
||||
|
||||
|
||||
@ -502,7 +502,7 @@ To create the PDF:
|
||||
### Previous Versions
|
||||
|
||||
Installation instructions and binaries for previous PyTorch versions may be found
|
||||
on [our website](https://pytorch.org/previous-versions).
|
||||
on [our website](https://pytorch.org/get-started/previous-versions).
|
||||
|
||||
|
||||
## Getting Started
|
||||
|
||||
@ -12,7 +12,7 @@
|
||||
#
|
||||
# The path hints include CUDA_TOOLKIT_ROOT_DIR seeing as some folks
|
||||
# install NCCL in the same location as the CUDA toolkit.
|
||||
# See https://github.com/caffe2/caffe2/issues/1601
|
||||
# See https://github.com/facebookarchive/caffe2/issues/1601
|
||||
|
||||
set(NCCL_INCLUDE_DIR $ENV{NCCL_INCLUDE_DIR} CACHE PATH "Folder contains NVIDIA NCCL headers")
|
||||
set(NCCL_LIB_DIR $ENV{NCCL_LIB_DIR} CACHE PATH "Folder contains NVIDIA NCCL libraries")
|
||||
|
||||
@ -103,7 +103,7 @@ To try and reduce the impact of functions that are non-differentiable, we define
|
||||
#. If the function is not defined (``sqrt(-1)``, ``log(-1)`` or most functions when the input is ``NaN``, for example) then the value used as the gradient is arbitrary (we might also raise an error but that is not guaranteed). Most functions will use ``NaN`` as the gradient, but for performance reasons, some functions will use other values (``log(-1)``, for example).
|
||||
#. If the function is not a deterministic mapping (i.e. it is not a `mathematical function`_), it will be marked as non-differentiable. This will make it error out in the backward if used on tensors that require grad outside of a ``no_grad`` environment.
|
||||
|
||||
.. _mathematical function: https://en.wikipedia.org/wiki/Function_(mathematics)
|
||||
.. _mathematical function: https://en.wikipedia.org/wiki/Function_%28mathematics%29
|
||||
|
||||
.. _locally-disable-grad-doc:
|
||||
|
||||
|
||||
@ -687,7 +687,7 @@ class TestGradTransform(TestCase):
|
||||
expected = (torch.zeros_like(x), torch.ones_like(x))
|
||||
self.assertEqual(result, expected)
|
||||
|
||||
# TODO: https://github.com/zou3519/functorch/issues/12
|
||||
# TODO: https://github.com/pytorch/functorch/issues/12
|
||||
@onlyCPU
|
||||
def test_unrelated_hessian(self, device):
|
||||
N = 5
|
||||
|
||||
@ -43,7 +43,7 @@ Python scripts in this folder are used to generate lite interpreter models for A
|
||||
|
||||
The generated models are located at
|
||||
https://github.com/pytorch/pytorch/tree/master/android/pytorch_android/src/androidTest/assets (Android)
|
||||
https://github.com/pytorch/pytorch/tree/master/ios/TestApp/models/ (iOS)
|
||||
https://github.com/pytorch/pytorch/tree/master/ios/TestApp/models/ (iOS) <!-- @lint-ignore -->
|
||||
|
||||
These test models will be executed in Android and iOS simulator tests. Note that we only check if there's error in model execution, but don't check the correctness of model output.
|
||||
|
||||
|
||||
@ -8,7 +8,7 @@ The objective of this exercise is to use the data sparsifier to prune the embedd
|
||||
3. **Model forward time**: Can we speed up the model forward time by utilizing the sparsity? Specifically, can we introduce torch.sparse interim to reduce number of computations.
|
||||
|
||||
## Scope
|
||||
The [DataNormSparsifier](https://github.com/pytorch/pytorch/blob/master/torch/ao/sparsity/_experimental/data_sparsifier/data_norm_sparsifier.py) is used to sparsify the embeddings of the DLRM model. The model is sparsified for all the combinations of -
|
||||
The [DataNormSparsifier](https://github.com/pytorch/pytorch/blob/main/torch/ao/pruning/_experimental/data_sparsifier/data_norm_sparsifier.py) is used to sparsify the embeddings of the DLRM model. The model is sparsified for all the combinations of -
|
||||
1. Sparsity Levels: [0.0, 0.1, 0.2, ... 0.9, 0.91, 0.92, ... 0.99, 1.0]
|
||||
2. Sparse Block shapes: (1,1) and (1,4)
|
||||
3. Norm: L1 and L2
|
||||
|
||||
@ -530,7 +530,7 @@ RE_EXTERN_SHARED = re.compile(r"extern\s+([\w\(\)]+)?\s*__shared__\s+([\w:<>\s]+
|
||||
|
||||
def replace_extern_shared(input_string):
|
||||
"""Match extern __shared__ type foo[]; syntax and use HIP_DYNAMIC_SHARED() MACRO instead.
|
||||
https://github.com/ROCm-Developer-Tools/HIP/blob/master/docs/markdown/hip_kernel_language.md#__shared__
|
||||
https://github.com/ROCm/hip/blob/master/docs/markdown/hip_kernel_language.md#__shared__
|
||||
Example:
|
||||
"extern __shared__ char smemChar[];" => "HIP_DYNAMIC_SHARED( char, smemChar)"
|
||||
"extern __shared__ unsigned char smem[];" => "HIP_DYNAMIC_SHARED( unsigned char, my_smem)"
|
||||
|
||||
Reference in New Issue
Block a user