Comments (5)
The RX560 is gfx803, too. So the latest version of ROCm - ROCm-5.40, can support your card RX560.
There is just a small bug in rocBLAS, you need do a small patch for rocBLAS and re-compile rocBLAS, then tensorflow won't raise NaN loss error. here is the patch :
rm -rf $ROCM_GIT_DIR/rocBLAS/library/src/blas3/Tensile/Logic/asm_full/r9nano*
But I am afraid even we can run minst on tensorflow/pytorch, There must be some bugs for gfx803, e.g. I try to run diffustion stable on my gfx803 card, and it hanged on 100% with no reason.
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Okay i already installed ROCm 5.40 on Arch with paru, and do you know to to set PATH ROC_ENABLE_PRE_VEGA=1 ?
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@HeartFire01
We just need set ROC_ENABLE_PRE_VEGA=1
as environment variable.
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Sorry, i don't understand how to set ROC_ENABLE_PRE_VEGA=1 as an environment variable in Arch ?
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I am not familiar with arch, but it is a linux operation system, so we can use export ROC_ENABLE_PRE_VEGA=1
to set an environment variable.
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Related Issues (20)
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