error when bazel compile torch_tensorrt on win10

[zhanghuqiang]

❓ Question

when command " bazel build //:libtorchtrt --compilation_mode opt", the error comes

ERROR: C:/users/zhang/downloads/tensorrt-main/core/runtime/BUILD:13:11: Compiling core/runtime/TRTEngineProfiler.cpp failed: (Exit 2): cl.exe failed: error executing command (from target //core/runtime:runtime) D:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.28.29333\bin\HostX64\x64\cl.exe /nologo /DCOMPILER_MSVC /DNOMINMAX /D_WIN3 2_WINNT=0x0601 /D_CRT_SECURE_NO_DEPRECATE ... (remaining 48 arguments skipped)

What you have already tried

Environment

Build information about Torch-TensorRT can be found by turning on debug messages

• PyTorch Version (e.g., 1.0):1.13
• CPU Architecture: AMD5600x
• OS (e.g., Linux):win10
• How you installed PyTorch (conda, pip, libtorch, source):
• Build command you used (if compiling from source):
• Are you using local sources or building from archives:
• Python version:
• CUDA version:11.7
• GPU models and configuration:2060
• Any other relevant information: visual studio2019

Additional context

[narendasan]

Is there any more information you could provide, the error does not say much

[zhanghuqiang]

@narendasan here‘s my WORKSPACE

workspace(name = "Torch-TensorRT")

load("@bazel_tools//tools/build_defs/repo:git.bzl", "git_repository")
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")

http_archive(
name = "rules_python",
sha256 = "778197e26c5fbeb07ac2a2c5ae405b30f6cb7ad1f5510ea6fdac03bded96cc6f",
url = "https://github.com/bazelbuild/rules_python/releases/download/0.2.0/rules_python-0.2.0.tar.gz",
)

load("@rules_python//python:pip.bzl", "pip_install")

http_archive(
name = "rules_pkg",
sha256 = "038f1caa773a7e35b3663865ffb003169c6a71dc995e39bf4815792f385d837d",
urls = [
"https://mirror.bazel.build/github.com/bazelbuild/rules_pkg/releases/download/0.4.0/rules_pkg-0.4.0.tar.gz",
"https://github.com/bazelbuild/rules_pkg/releases/download/0.4.0/rules_pkg-0.4.0.tar.gz",
],
)

load("@rules_pkg//:deps.bzl", "rules_pkg_dependencies")

rules_pkg_dependencies()

git_repository(
name = "googletest",
commit = "703bd9caab50b139428cea1aaff9974ebee5742e",
remote = "https://github.com/google/googletest",
shallow_since = "1570114335 -0400",
)

new_local_repository(
name = "cuda",
build_file = "@//third_party/cuda:BUILD",
path = "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.7",
)

new_local_repository(
name = "cublas",
build_file = "@//third_party/cublas:BUILD",
path = "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.7",
)

new_local_repository(
name = "libtorch",
path = "C:/Users/zhang/Downloads/libtorch-win-shared-with-deps-1.13.0+cu117/libtorch",
build_file = "third_party/libtorch/BUILD"
)

new_local_repository(
name = "libtorch_pre_cxx11_abi",
path = "C:/Users/zhang/Downloads/libtorch-win-shared-with-deps-1.13.0+cu117/libtorch",
build_file = "third_party/libtorch/BUILD"
)

new_local_repository(
name = "cudnn",
path = "C:/Users/zhang/Downloads/cudnn-windows-x86_64-8.5.0.96_cuda11-archive/",
build_file = "@//third_party/cudnn/local:BUILD"
)

new_local_repository(
name = "tensorrt",
path = "C:/Users/zhang/Downloads/TensorRT-8.5.1.7.Windows10.x86_64.cuda-11.8.cudnn8.6/TensorRT-8.5.1.7/",
build_file = "@//third_party/tensorrt/local:BUILD"
)

#########################################################################

Development Dependencies (optional - comment out on aarch64)

#########################################################################

pip_install(
name = "devtools_deps",
requirements = "//:requirements-dev.txt",
)

[zhanghuqiang]

@narendasan
TensorRT-8.5.1.7
libtorch-win-shared-with-deps-1.13.0+cu117
CUDAv11.7
cudnn-windows-x86_64-8.5.0.96_cuda11-archive
vs2019

[narendasan]

Hmm, does --sandbox-debug provide more info?

[github-actions]

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