masahi commented on issue #13666:
URL: https://github.com/apache/tvm/issues/13666#issuecomment-1397695640
@mvermeulen Thanks I got it working, but the result is the same as my
non-docker execution: LLVM and rocm results are different.
```
LLVM output
[-0.22859041 -0.25806972 -0.43340546 0.4846975 -0.6018108 0.2269876
0.8546581 -0.9607104 0.527962 -1.1830723 ]
rocm output
[ 0.64347816 -1.4370097 -1.527026 1.1573262 -0.03408854 -1.1726259
0.8344087 -1.231696 0.9886506 -1.0510902 ]
```
Also, running
https://github.com/apache/tvm/blob/main/gallery/how_to/compile_models/from_pytorch.py
inside the container (after changing the target to rocm) I get
```
Relay top-1 id: 277, class name: red fox, Vulpes vulpes
Torch top-1 id: 281, class name: tabby, tabby cat
```
which is an incorrect result (the same as non-docker execution).
It would be interesting if the result depends on the GPU. Mine is RX 6600xt
which is not officially supported.
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