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Revert D22072830: [wip] Upgrade msvc to 14.13
Test Plan: revert-hammer Differential Revision: D22072830 Original commit changeset: 6fa03725f3fe fbshipit-source-id: 901de185e607810cb3871c2e4d23816848c97f4b
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@ -120,8 +120,8 @@ def TruePred(_):
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WORKFLOW_DATA = [
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# VS2017 CUDA-10.1
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WindowsJob(None, VcSpec(2017, ["14", "13"]), CudaVersion(10, 1), master_only_pred=FalsePred),
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WindowsJob(1, VcSpec(2017, ["14", "13"]), CudaVersion(10, 1)),
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WindowsJob(None, VcSpec(2017, ["14", "11"]), CudaVersion(10, 1), master_only_pred=FalsePred),
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WindowsJob(1, VcSpec(2017, ["14", "11"]), CudaVersion(10, 1)),
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# VS2017 no-CUDA (builds only)
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WindowsJob(None, VcSpec(2017, ["14", "16"]), CudaVersion(10, 1)),
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WindowsJob(None, VcSpec(2017, ["14", "16"]), None),
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@ -281,7 +281,7 @@ pytorch_windows_params: &pytorch_windows_params
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default: "3.6"
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vc_version:
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type: string
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default: "14.13"
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default: "14.11"
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vc_year:
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type: string
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default: "2017"
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@ -596,7 +596,7 @@ jobs:
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default: "3.6"
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vc_version:
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type: string
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default: "14.13"
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default: "14.11"
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vc_year:
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type: string
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default: "2017"
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@ -667,7 +667,7 @@ jobs:
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default: "3.6"
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vc_version:
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type: string
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default: "14.13"
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default: "14.11"
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vc_year:
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type: string
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default: "2017"
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@ -7776,16 +7776,16 @@ workflows:
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requires:
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- nightly_pytorch_linux_xenial_py3_clang5_android_ndk_r19c_android_gradle_build
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- pytorch_windows_build:
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build_environment: pytorch-win-vs2017-14-13-cuda10-cudnn7-py3
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build_environment: pytorch-win-vs2017-14-11-cuda10-cudnn7-py3
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cuda_version: "10"
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name: pytorch_windows_vs2017_14.13_py36_cuda10.1_build
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name: pytorch_windows_vs2017_14.11_py36_cuda10.1_build
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python_version: "3.6"
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use_cuda: "1"
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vc_product: BuildTools
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vc_version: "14.13"
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vc_version: "14.11"
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vc_year: "2017"
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- pytorch_windows_test:
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build_environment: pytorch-win-vs2017-14-13-cuda10-cudnn7-py3
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build_environment: pytorch-win-vs2017-14-11-cuda10-cudnn7-py3
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cuda_version: "10"
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executor: windows-with-nvidia-gpu
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filters:
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@ -7794,14 +7794,14 @@ workflows:
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- master
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- /ci-all\/.*/
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- /release\/.*/
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name: pytorch_windows_vs2017_14.13_py36_cuda10.1_test1
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name: pytorch_windows_vs2017_14.11_py36_cuda10.1_test1
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python_version: "3.6"
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requires:
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- pytorch_windows_vs2017_14.13_py36_cuda10.1_build
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- pytorch_windows_vs2017_14.11_py36_cuda10.1_build
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test_name: pytorch-windows-test1
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use_cuda: "1"
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vc_product: BuildTools
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vc_version: "14.13"
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vc_version: "14.11"
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vc_year: "2017"
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- pytorch_windows_build:
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build_environment: pytorch-win-vs2017-14-16-cuda10-cudnn7-py3
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@ -1,7 +1,7 @@
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$VS_DOWNLOAD_LINK = "https://aka.ms/vs/15/release/vs_buildtools.exe"
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$COLLECT_DOWNLOAD_LINK = "https://aka.ms/vscollect.exe"
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$VS_INSTALL_ARGS = @("--nocache","--quiet","--wait", "--add Microsoft.VisualStudio.Workload.VCTools",
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"--add Microsoft.VisualStudio.Component.VC.Tools.14.13",
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"--add Microsoft.VisualStudio.Component.VC.Tools.14.11",
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"--add Microsoft.Component.MSBuild",
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"--add Microsoft.VisualStudio.Component.Roslyn.Compiler",
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"--add Microsoft.VisualStudio.Component.TextTemplating",
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@ -61,7 +61,7 @@ pytorch_windows_params: &pytorch_windows_params
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default: "3.6"
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vc_version:
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type: string
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default: "14.13"
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default: "14.11"
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vc_year:
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type: string
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default: "2017"
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@ -181,7 +181,7 @@ jobs:
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default: "3.6"
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vc_version:
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type: string
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default: "14.13"
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default: "14.11"
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vc_year:
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type: string
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default: "2017"
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@ -252,7 +252,7 @@ jobs:
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default: "3.6"
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vc_version:
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type: string
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default: "14.13"
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default: "14.11"
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vc_year:
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type: string
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default: "2017"
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10
README.md
10
README.md
@ -210,12 +210,12 @@ Each CUDA version only supports one particular XCode version. The following comb
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On Windows
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At least Visual Studio 2017 version 15.6 with the toolset 14.13 and [NVTX](https://docs.nvidia.com/gameworks/content/gameworkslibrary/nvtx/nvidia_tools_extension_library_nvtx.htm) are needed.
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At least Visual Studio 2017 Update 3 (version 15.3.3 with the toolset 14.11) and [NVTX](https://docs.nvidia.com/gameworks/content/gameworkslibrary/nvtx/nvidia_tools_extension_library_nvtx.htm) are needed.
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If the version of Visual Studio 2017 is higher than 15.6, installing of "VC++ 2017 version 15.6 v14.13 toolset" is strongly recommended.
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<br/> If the version of Visual Studio 2017 is lesser than 15.6, please update Visual Studio 2017 to the latest version along with installing "VC++ 2017 version 15.6 v14.13 toolset".
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<br/> There is no guarantee of the correct building with VC++ 2017 toolsets, others than version 15.6 v14.13.
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<br/> "VC++ 2017 version 15.6 v14.13 toolset" might be installed onto already installed Visual Studio 2017 by running its installation once again and checking the corresponding checkbox under "Individual components"/"Compilers, build tools, and runtimes".
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If the version of Visual Studio 2017 is higher than 15.4.5, installing of "VC++ 2017 version 15.4 v14.11 toolset" is strongly recommended.
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<br/> If the version of Visual Studio 2017 is lesser than 15.3.3, please update Visual Studio 2017 to the latest version along with installing "VC++ 2017 version 15.4 v14.11 toolset".
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<br/> There is no guarantee of the correct building with VC++ 2017 toolsets, others than version 15.4 v14.11.
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<br/> "VC++ 2017 version 15.4 v14.11 toolset" might be installed onto already installed Visual Studio 2017 by running its installation once again and checking the corresponding checkbox under "Individual components"/"Compilers, build tools, and runtimes".
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NVTX is a part of CUDA distributive, where it is called "Nsight Compute". To install it onto already installed CUDA run CUDA installation once again and check the corresponding checkbox.
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Be sure that CUDA with Nsight Compute is installed after Visual Studio 2017.
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