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AMD's Machine Intelligence Library

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I'm very confused at the experiments conducted below. This config belong to Resnet50 therefore the workload get tested here is fairly important in its performance signature. Note: To reproduce please...

question
performance
request_for_comments

I encountered bn configs failing on gfx908 while using the develop branch. Here are sample configs that failed (these are not all) ./bin/MIOpenDriver bnormfp16 -n 256 -c 64 -H 112...

bug
request_for_comments
urgency_normal

**./bin/MIOpenDriver conv -n 16 -c 76 -H 9 -W 9 -k 32 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv...

bug
help wanted
value_high
urgency_blocker

`miopenBatchNormalizationForwardInference` function is failing when the nullptr is passed for mean & variance. https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/blob/master/amd_openvx_extensions/amd_nn/src/batch_normalization_layer.cpp#L121 The above function works fine but https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/blob/master/amd_openvx_extensions/amd_nn/src/scale_layer.cpp#L103 this function returns Inf values. They both call the...

urgency_normal
documentation

> > > @atamazov @JehandadKhan @asroy @zjing14 @qianfengz could you take a look at CK related changes? The composable kernel-related changes in this PR might have affected accuracy: > >...

non-miopen-bug
urgency_normal

* This PR finds the performance hipMemcpy, hipMemset and SetTensor The performance results for tensor {4, 4, 1115, 1115} in micro sec were : hipMemcpy = 29717 hipMemset = 1...

enhancement
performance
debugging

**[Keywords]:** test; vega20; batchnorm **URGENCY :HIGH** since it is already in the develop branch **[Env]:** vega20 mainly Sometimes gfx908 **[Description]:** This test fails frequently (and usually pass with rerun): http://micimaster.amd.com/blue/organizations/jenkins/MLLibs%2FMIOpen/detail/cpu_conv_acc_tpye_fix/1/pipeline...

urgency_low
debugging

This is a debugging ticket brought up from @krzysz00 in MLIR team. In using the MIOpenDriver to help MLIR tune different configs, it is common for MIOpen to pick up...

enhancement
tuning
urgency_low
debugging

https://github.com/ROCmSoftwarePlatform/MIOpen/pull/1316#pullrequestreview-869371563 Let's discuss comments there until all those resolved or fixed (we'll need separate PR for the fixes).

quality
urgency_high