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| author | Sang-Hoon Park <sang-hoon.park@arm.com> | 2021-05-12 13:59:10 +0100 |
|---|---|---|
| committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-05-14 04:26:10 +0000 |
| commit | 4f7693d8757cf12c33f049c61c63bc689379ab84 (patch) | |
| tree | f37317dd3ffe7394886b045c92e08e31863e6954 /arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h | |
| parent | 13c497a8a9a4aa9353719afe53ccc7db50da74fe (diff) | |
| download | ComputeLibrary-4f7693d8757cf12c33f049c61c63bc689379ab84.tar.gz | |
Rename NEGEMMAssembly to CpuGemmAssembly
- Dispatch, WrapperKernel has been renamed and moved
- Header files for assembly kernels have been moved
Partially Resolves: COMPMID-4506
Change-Id: I6c2f391bb95ba1ce7ca195d0efa57b9c3225570f
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5637
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h index 77f9093ed4..f9ebf608cb 100644 --- a/arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h +++ b/arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h @@ -47,7 +47,7 @@ class ICPPKernel; * -# @ref NEWinogradLayerTransformWeightsKernel (executed only once in the first call to the run() method ) * -# @ref NEWinogradLayerTransformInputKernel * -# @ref NEWinogradLayerTransformOutputKernel - * -# @ref NEGEMMAssemblyDispatch + * -# @ref cpu::CpuGemmAssemblyDispatch * -# @ref CPPPermute (three times: weights, input and output) * * @note Some Winograd configurations (i.e. F(2x2, 5x5), F(4x4, 5x5)) are supported only with enable_fast_math = true |