Building project using libtorch results in "Failed to find nvToolsExt" #116242
Labels
module: cuda
Related to torch.cuda, and CUDA support in general
triaged
This issue has been looked at a team member, and triaged and prioritized into an appropriate module
馃悰 Describe the bug
2.1.2+cu121
Environment Variables:
CUDA_PATH = C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1
CudaToolkitDir = C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1
CMakeLists.txt:
Execute commands
Get the output:
Versions
Collecting environment information...
PyTorch version: N/A
Is debug build: N/A
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: N/A
OS: Microsoft Windows 10 Home
GCC version: (GCC) 11.3.0
Clang version: Could not collect
CMake version: version 3.27.0
Libc version: N/A
Python version: 3.12.0 (tags/v3.12.0:0fb18b0, Oct 2 2023, 13:03:39) [MSC v.1935 64 bit (AMD64)] (64-bit runtime)
Python platform: Windows-10-10.0.19045-SP0
Is CUDA available: N/A
CUDA runtime version: 12.1.66
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1080 Ti
Nvidia driver version: 546.12
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: N/A
CPU:
Architecture=9
CurrentClockSpeed=3696
DeviceID=CPU0
Family=198
L2CacheSize=1536
L2CacheSpeed=
Manufacturer=GenuineIntel
MaxClockSpeed=3696
Name=Intel(R) Core(TM) i7-8700K CPU @ 3.70GHz
ProcessorType=3
Revision=
Versions of relevant libraries:
[pip3] numpy==1.26.1
[conda] Could not collect
cc @ptrblck
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