Question 39390 in Ubuntu Question posted in
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Pytorch "hipErrorNoBinaryForGpu: Unable to find code object for all current devices!"

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.

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2

Answers


  1. 0

    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.

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  2. 0

    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.

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