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Files

Qianfeng 52abc2f371 Use double for all scaling values and float-point constant values at the Device Op API (#557 )

* Use double as alpha/beta values type in reduce device op api

* Use double as alpha/beta values type in softmax device op api

* Use double as alpha/beta values type in multiple-reduce device op api

* Use double as epsilon value type in normalization/elementwise-normalization device op api

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CMakeLists.txt

Standalone softmax kernel (#284 )

2022-06-21 14:59:19 -05:00

README.md

Standalone softmax kernel (#284 )

2022-06-21 14:59:19 -05:00

softmax_blockwise.cpp

Use double for all scaling values and float-point constant values at the Device Op API (#557 )

2023-01-18 12:02:50 -06:00

README.md

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>

README.md

Instructions for example_softmax_blockwise

Run example_softmax_blockwise

Instructions for `example_softmax_blockwise`

Run `example_softmax_blockwise`