Closed FranGamer1892 closed 1 year ago
By the way, I have this problem with torchaudio: ERROR: torchaudio 0.11.0 has requirement torch==1.11.0, but you'll have torch 1.11.0a0+git503a092 which is incompatible.
Maybe it has something to do with it?
I found the following requirements for diff-svc: torch==1.12.1+cu113 torchaudio==0.12.1+cu113 torchvision==0.13.1+cu113 More here... It may be the problem behind this, but maybe there could be a workaround for this? Sorry, I am no expert in this topic. Thank you.
Looks like the app try to load cuda not ROCm. And if torchaudio reports version incompatible, I think you need build torchaudio from sources with gfx803 and gfx803 versioned torch.
I thought torch.cuda.is_available() meant cuda programs could be used, silly me...would that mean that I have to port the program to ROCm? How would I do that? And is there any guide I could follow to build torchaudio with gfx803? Thanks.
If you used ROCm versioned torch, cuda.is_available()
had been ported to ROCm gpu, and dependency library will link to rocXXX library. So seems you used wrong torch or torchaudio.
It is not difficult to build torchaudio
USE_ROCM=1 ROCclr_DIR=/opt/rocm/ python3 setup.py bdist_wheel
, then you got a gfx803 verisioned torchaudio. keep the whl, you can used it next time.And I remembered that I had package a gfx803 versioned torchaudio on ROCm-5.1, maybe you can have a try. https://github.com/xuhuisheng/rocm-gfx803/releases/download/rocm510/torchaudio-0.11.0+820b383-cp38-cp38-linux_x86_64.whl
Hello, test-pytorch-device.py ran fine, but I am getting this error when trying to build torchaudio
CMake Error at cmake/LoadHIP.cmake:138 (find_package): By not providing "Findrocrand.cmake" in CMAKE_MODULE_PATH this project has asked CMake to find a package configuration file provided by "rocrand", but CMake did not find one.
Could not find a package configuration file provided by "rocrand" with any of the following names:
rocrandConfig.cmake
rocrand-config.cmake
Add the installation prefix of "rocrand" to CMAKE_PREFIX_PATH or set "rocrand_DIR" to a directory containing one of the above files. If "rocrand" provides a separate development package or SDK, be sure it has been installed. Call Stack (most recent call first): cmake/LoadHIP.cmake:197 (find_package_and_print_version) CMakeLists.txt:78 (include)
Additionally, I had to run ln -s /opt/rocm/lib/libhsa-runtime64.so.1.7.0 /opt/rocm/lib/libhsa-runtime64.so.1.7.50300
. Thank you.
Hello, later on I found out that error was caused by an outdated LoadHIP.cmake in the torchaudio repo. Instead, I adapted the one from the pytorch repo. Now I can sucessfully build torchaudio and the gfx803 versioned torchaudio on ROCm-5.1 package works as well. Closing this.
Hello, I am trying to run diff-svc on my gfx803 gpu. When I try to run inference, I get
Traceback (most recent call last): File "inference.py", line 8, in <module> from infer import * File "/projects/diff-svc/diff-svc/infer.py", line 10, in <module> from infer_tools import slicer File "/projects/diff-svc/diff-svc/infer_tools/slicer.py", line 5, in <module> import torchaudio File "/usr/local/lib/python3.8/dist-packages/torchaudio/__init__.py", line 1, in <module> from torchaudio import _extension # noqa: F401 File "/usr/local/lib/python3.8/dist-packages/torchaudio/_extension.py", line 67, in <module> _init_extension() File "/usr/local/lib/python3.8/dist-packages/torchaudio/_extension.py", line 61, in _init_extension _load_lib("libtorchaudio") File "/usr/local/lib/python3.8/dist-packages/torchaudio/_extension.py", line 51, in _load_lib torch.ops.load_library(path) File "/usr/local/lib/python3.8/dist-packages/torch/_ops.py", line 220, in load_library ctypes.CDLL(path) File "/usr/lib/python3.8/ctypes/__init__.py", line 373, in __init__ self._handle = _dlopen(self._name, mode) OSError: libc10_cuda.so: cannot open shared object file: No such file or directory
Is it a problem with the current pytorch version? I know it is working because when I runimport torch if torch.cuda.is_available(): device = torch.device("cuda:0") print("Running on the GPU") else: device = torch.device("cpu") print("Running on the CPU")
It prints "Running on the GPU". Thanks!