Docker about rocm-gfx803 HOT 4 CLOSED

So, you want gfx803 versioned rocblas for ROCm-4.5.2 and ROCm-4.3.1, and tensorflow-2.6.0 for python3.6?
I can go to build rocblas for 4.5.2, but tensorflow caused too much times, Could you try to upgrade your python from 3.6 to 3.8?

UPDATE
I find there is already a rocblas gfx803 version for ROCm-4.3.1, I think you could have a try.
https://github.com/xuhuisheng/rocm-gfx803/blob/master/history.md

UPDATE
Upload rocblas gfx803 version for ROCm-4.5.2. Please have a try.

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It was to comment the error i got and to put which version worked fine, in reality i have to use python 3.7 for now, i tried 3.8 and i remember there was a problem that was not present in 3.7 in the libraries that i was using, i have found the instructions from amd to compile pytorch, but i have not been successful yet, if you documented the compilation process for pytorch and tensorflow i might be able to use that and share the resulting whl, I was successful now with installing your wheels in the docker of rocm 4.5.0, i will share that so people with this card can just run it, if i can do the same with python 3.7 and 3.6 i will share those too

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The build script of pytorch is here https://github.com/xuhuisheng/rocm-build/tree/master/gfx803#workaround-1

If you want to build tensorflow-rocm:

• install ROCm
• install bazel https://github.com/bazelbuild/bazel/releases/download/3.7.2/bazel-3.7.2-installer-linux-x86_64.sh
• clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
• checkout r2.7-rocm-enhanced branch
• python3 build_rocm_python3, In my building server, cost about 3 hours.

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This issue didn't update one years ago.
I will close it, please re-open if needed.

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