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https://github.com/xuhuisheng/rocm-gfx803


https://github.com/xuhuisheng/rocm-gfx803

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# ROCm with gfx803

This repo upload some archieves for ROCm with gfx803 after ROCm-4.0.

## ROCm-5.4.1

|OS |linux|Python|ROCm |GPU |
|--------------|-----|------|-----|-----|
|Ubuntu-20.04.5|5.15 |3.8.10|5.4.1|RX580|

Install ROCm First

|component |version |size |link|
|------------|----------|-------|----|
|rocblas |2.46.0 |9.8M ||
|pytorch |1.11.0-rc2|145.14M|
|torchvision |0.12.0-rc1|18.47M |
|tensorflow |2.8.0 |300.22M||

1. Install ROCm-5.4.1
3. `sudo dpkg -i rocblas_2.46.0.50401-84.20.04_amd64.deb`
4. `pip3 install torch-1.11.0a0+git503a092-cp38-cp38-linux_x86_64.whl`
5. `pip3 install torchvision-0.12.0a0+2662797-cp38-cp38-linux_x86_64.whl`
6. `pip3 install tensorflow_rocm-2.8.0-cp38-cp38-linux_x86_64.whl`

PS: You may need `export LD_LIBRARY_PATH=/opt/rocm/lib` to resolve cannot find libmiopen.so error.

## ROCm-3.5.1

|OS |linux|Python|ROCm |GPU |
|--------------|-----|------|-----|-----|
|Ubuntu-20.04 |5.4 |3.8.5 |3.5.1|RX580|

Install ROCm-3.5.1 First

|component |version|size|link|
|-----------|-------|----|----|
|pytorch |1.7.0 |173M||
|torchvision|0.8.0 |6.4M||

1. `sudo apt install rocm-dkms rocm-libs`
2. `export LB_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/rocm/hip/lib`
3. `pip3 install torch-1.7.0a0-cp38-cp38-linux_x86_64.whl`
4. `pip3 install torchvision-0.8.0a0+2f40a48-cp38-cp38-linux_x86_64.whl`