Cleanup cuda115 unused code (#2374)

Summary:
Cleanup old version of cuda115 and other legacy versions

Pull Request resolved: https://github.com/pytorch/audio/pull/2374

Reviewed By: nateanl, mthrok

Differential Revision: D36250955

Pulled By: atalman

fbshipit-source-id: 6b7f0e2926eeb688991c939901c980428cf8e7ef

packaging/build_conda.sh

@@ -18,7 +18,7 @@ setup_visual_studio_constraint
 export CUDATOOLKIT_CHANNEL="nvidia"
 # NOTE: This is needed because `cudatoolkit=11.5` has a dependency on conda-forge
 #       See: https://github.com/pytorch/audio/pull/2224#issuecomment-1049185550
-if [[ ${CU_VERSION} = "cu115" || ${CU_VERSION} = "cu116" ]]; then
+if [[ ${CU_VERSION} = "cu116" ]]; then
     CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c conda-forge"
 fi
 # NOTE: There are some dependencies that are not available for macOS on Python 3.10 without conda-forge

packaging/pkg_helpers.bash

@@ -54,14 +54,6 @@ setup_cuda() {
       fi
       export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"
       ;;
-    cu115)
-      if [[ "$OSTYPE" == "msys" ]]; then
-        export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.5"
-      else
-        export CUDA_HOME=/usr/local/cuda-11.5/
-      fi
-      export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"
-      ;;
     cu113)
       if [[ "$OSTYPE" == "msys" ]]; then
         export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.3"
@@ -70,30 +62,6 @@ setup_cuda() {
       fi
       export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"
       ;;
-    cu112)
-      if [[ "$OSTYPE" == "msys" ]]; then
-        export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.2"
-      else
-        export CUDA_HOME=/usr/local/cuda-11.2/
-      fi
-      export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"
-      ;;
-    cu111)
-      if [[ "$OSTYPE" == "msys" ]]; then
-        export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1"
-      else
-        export CUDA_HOME=/usr/local/cuda-11.1/
-      fi
-      export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"
-      ;;
-    cu110)
-      if [[ "$OSTYPE" == "msys" ]]; then
-        export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.0"
-      else
-        export CUDA_HOME=/usr/local/cuda-11.0/
-      fi
-      export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0"
-      ;;
     cu102)
       if [[ "$OSTYPE" == "msys" ]]; then
         export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.2"
@@ -102,22 +70,6 @@ setup_cuda() {
       fi
       export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5"
       ;;
-    cu101)
-      if [[ "$OSTYPE" == "msys" ]]; then
-        export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1"
-      else
-        export CUDA_HOME=/usr/local/cuda-10.1/
-      fi
-      export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5"
-      ;;
-    cu100)
-      export CUDA_HOME=/usr/local/cuda-10.0/
-      export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5"
-      ;;
-    cu92)
-      export CUDA_HOME=/usr/local/cuda-9.2/
-      export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0"
-      ;;
     rocm*)
       export USE_ROCM=1
       ;;
@@ -193,15 +145,6 @@ setup_wheel_python() {
     conda install --quiet -y pkg-config
   else
     case "$PYTHON_VERSION" in
-      2.7)
-        if [[ -n "$UNICODE_ABI" ]]; then
-          python_abi=cp27-cp27mu
-        else
-          python_abi=cp27-cp27m
-        fi
-        ;;
-      3.5) python_abi=cp35-cp35m ;;
-      3.6) python_abi=cp36-cp36m ;;
       3.7) python_abi=cp37-cp37m ;;
       3.8) python_abi=cp38-cp38 ;;
       3.9) python_abi=cp39-cp39 ;;
@@ -272,9 +215,6 @@ setup_conda_cudatoolkit_constraint() {
       cu116)
         export CONDA_CUDATOOLKIT_CONSTRAINT="- cudatoolkit >=11.6,<11.7 # [not osx]"
         ;;
-      cu115)
-        export CONDA_CUDATOOLKIT_CONSTRAINT="- cudatoolkit >=11.5,<11.6 # [not osx]"
-        ;;
       cu113)
         export CONDA_CUDATOOLKIT_CONSTRAINT="- cudatoolkit >=11.3,<11.4 # [not osx]"
         ;;

packaging/windows/internal/cuda_install.bat

@@ -25,7 +25,6 @@ set CUDNN_LIB_FOLDER="lib\x64"
 
 if %CUDA_VER% EQU 102 goto cuda102
 if %CUDA_VER% EQU 113 goto cuda113
-if %CUDA_VER% EQU 115 goto cuda115
 if %CUDA_VER% EQU 116 goto cuda116
 
 echo CUDA %CUDA_VERSION_STR% is not supported
@@ -83,32 +82,6 @@ if not exist "%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%" (
 
 goto cuda_common
 
-:cuda115
-
-set CUDA_INSTALL_EXE=cuda_11.5.0_496.13_win10.exe
-if not exist "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%" (
-    curl -k -L "https://ossci-windows.s3.amazonaws.com/%CUDA_INSTALL_EXE%" --output "%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%"
-    if errorlevel 1 exit /b 1
-    set "CUDA_SETUP_FILE=%SRC_DIR%\temp_build\%CUDA_INSTALL_EXE%"
-    set "ARGS=thrust_11.5 nvcc_11.5 cuobjdump_11.5 nvprune_11.5 nvprof_11.5 cupti_11.5 cublas_11.5 cublas_dev_11.5 cudart_11.5 cufft_11.5 cufft_dev_11.5 curand_11.5 curand_dev_11.5 cusolver_11.5 cusolver_dev_11.5 cusparse_11.5 cusparse_dev_11.5 npp_11.5 npp_dev_11.5 nvrtc_11.5 nvrtc_dev_11.5 nvml_dev_11.5"
-)
-
-set CUDNN_INSTALL_ZIP=cudnn-windows-x86_64-8.3.2.44_cuda11.5-archive.zip
-set CUDNN_FOLDER=cudnn-windows-x86_64-8.3.2.44_cuda11.5-archive
-set CUDNN_LIB_FOLDER="lib"
-if not exist "%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%"
-    if errorlevel 1 exit /b 1
-    set "CUDNN_SETUP_FILE=%SRC_DIR%\temp_build\%CUDNN_INSTALL_ZIP%"
-
-    rem Make sure windows path contains zlib dll
-    curl -k -L "http://s3.amazonaws.com/ossci-windows/zlib123dllx64.zip" --output "%SRC_DIR%\temp_build\zlib123dllx64.zip"
-    7z x "%SRC_DIR%\temp_build\zlib123dllx64.zip" -o"%SRC_DIR%\temp_build\zlib"
-    xcopy /Y "%SRC_DIR%\temp_build\zlib\dll_x64\*.dll" "C:\Windows\System32"
-)
-
-goto cuda_common
-
 :cuda116
 
 set CUDA_INSTALL_EXE=cuda_11.6.0_511.23_windows.exe