(<1 more arguments>) ROCm Configuration Error: Cannot find rocm library hip_hcc INFO: Repository com_google_protobuf instantiated at: no stack (--record_rule_instantiation_callstack not enabled) Repository rule tf_http_archive defined at: /home/acxz/vcs/git/github/rocm-arch/tensorflow-rocm/...
ROCM used to build PyTorch: N/A OS: Microsoft Windows 10 Pro GCC version: Could not collect Clang version: Could not collect CMake version: version 3.24.1 Libc version: N/A Python version: 3.11.4 | packaged by Anaconda, Inc. | (main, Jul 5 2023, 13:47:18) [MSC v.1916 64 bit...
I got everything in the ROCm-OpenCL-Runtime github repo working up to the make command. It fails about halfway through. First, it was because it couldn't find any OpenCL headers (#include <CL/any-file-name.h wasn't working). I tried to use the latest OpenCL headers referenced in...
[root@grumpy ~/ati/amdgpu-pro-17.50-511655]# ./amdgpu-pro-install --opencl=rocm --headless [amdgpu-pro-local] Name=AMD amdgpu Pro local repository baseurl=file:///var/opt/amdgpu-pro-local enabled=1 gpgcheck=0 Loaded plugins: fastestmirror amdgpu-pro-local | 2.9 kB 00:00:00 [....
USE_ROCM: OFF USE_PAPI: OFF USE_CURAND: OFF TVM_CXX_COMPILER_PATH: /Applications/Xcode_14.2.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/c++ HIDE_PRIVATE_SYMBOLS: ON Any other relevant information: Additional context
On head of main Your current environment 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: Ubuntu 22.04.4 LTS (x86_64) GCC version: (Ubuntu ...
(I also have rocm-opencl-sdk, but it shouldn't be needed in this case) 5.7.1 and 6.0 should both be just fine. I do have them, here's my output of pacman -Qs rocm: local/comgr 5.7.1-1 Compiler support library for ROCm LLVM local/hip-runtime-amd 5.7.1-1 Heterogeneous ...
🐛 Describe the bug I created a modified version of torchvision's pretrained Mask RCNN model to train on my own dataset, and I set the multiple random seeds to be able to compare different runs. However, I recently realized that the resul...
This is the general case for a lot of these installers, they assume you have everything system level done, where it be CUDA, ROCM, etc. I take it they do that otherwise it would throw an error to non-AMD/Nvidia card users. Would require a more work to detect the user’s hardware ...
Sorry if this is hijacking the thread, but I do think my problem is "cannot find gpu devices on bash" how did you upgrade the kernel? i have 4.19.104 and cannot upgrade to latest.. in downlaod section, only get source... do i need to compile?!