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4a27f120ea
* ad gelu and fast_gelu
* added GeLU and fast GeLU
* clean up
* add gemm+fastgelu example
* add gemm+gelu instances
* update profiler
* clean up
* clean up
* adding gemm+bias+activation
* clean
* adding bias
* clean
* adding gemm multiple d
* debugging
* add gemm bias add fastgelu
* rename, clean
* refactoring; add readme
* refactor
* refactor
* refactor
* refactor
* refactor
* refactor
* fix
* fix
* update example
* update example
* rename
* update example
* add ckProfiler
* clean
* clean
* clean
* clean
* add client app example
* update readme
* delete obselete files
* remove old client app
* delete old file
* cleaning
* clean
* remove half
* fix header path
* fix header path
* fix header path
* fix header path
* fix header path
* fix header path for all examples
* fix header path
* fix header path
* fix header path
* fix header path
* fix header path
* fix header path
* fix header path
* fix header path
* fix header path
* revert client app example
* clean build
* fix build
* temporary disable client test on Jenkins
* clean
* clean
* clean
[ROCm/composable_kernel commit: d1db6a0c3e]
Instructions for example_softmax_blockwise
Run example_softmax_blockwise
# -D <xxx> : input 3-d tensor lengths
# -v <x> : verification (0=no, 1=yes)
#arg1: initialization (0=no init, 1=single integer value, 2=scope integer value, 3=decimal value)
#arg2: time kernel (0=no, 1=yes)
example_softmax_blockwise -D 4,128,2048 -v 1 1 1
Result
launch_and_time_kernel: grid_dim {64, 1, 1}, block_dim {256, 1, 1}
Warm up 1 time
Start running 10 times...
Perf: 0.0242877 ms, 259.039 GB/s, DeviceReduceSoftmax<256,M_C8_S1,K_C32_S8,InSrcVectorDim_1_InSrcVectorSize_8_OutDstVectorSize_8>