3

SYSTEM: Ryzen 5800x, rx 6700xt, 32 gigs of RAM, Ubuntu 22.04.1

I'm attempting to install Stable-Diffusion by following https://youtu.be/d_CgaHyA_n4

When attempting to run the SD script, I get the "hipErrorNoBinaryForGpu: Unable to find code object for all current devices!" error.

I believe this is caused by PyTorch not working as expected. When validating Pytorchs' installation with "The Master Test", I get the same error:

"hipErrorNoBinaryForGpu: Unable to find code object for all current devices!"
Aborted (core dumped)

I believe that it is install correctly as using the conda list command tells me that torch 1.12.0a0+git2a932eb and torchvision 0.13.0a0+f5afae5 are installed. Interestingly, when I change the command ever-so-slightly to torch.cuda.is_available, (without the parentheses), I get the following output: <function is_available at 0x7f42278788b0>. Granted, I'm not sure what this is telling me. Following the "Verification" step resulted in the expected array of random numbers. However, failed the GPU driver check.

Thank you in advance.

lead oxide
  • 31
  • 1
  • 2

2 Answers2

14

Try running the following command:

export HSA_OVERRIDE_GFX_VERSION=10.3.0

This made it work on my machine using an RX 6600 XT, with which I got the same error running it, before exporting the variable.

totoroot
  • 151
  • 4
1

I was struggling with ROCm enabled Tensorflow, the tensorflow-rocm, package. Without setting up the environment variable export HSA_OVERRIDE_GFX_VERSION=10.3.0 , tensorflow-rocm crashes.

After setting it up, it works with 6700XT as well (at least it does not crash.) But still having problem with finding libraries.

It seems ROCm has a lot to catch up.

Taylor Shin
  • 39
  • 3