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author | Anthony Barbier <anthony.barbier@arm.com> | 2018-07-20 17:49:35 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
commit | eaefd002a5d6509dd5f12e98b538c99b33c2c1ee (patch) | |
tree | 18951e67cf2c0c0b91e88d9174d0c350890456a1 /arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h | |
parent | c8e84b5a3872eda6748d77dbaf8548ad99f4c0cd (diff) | |
download | ComputeLibrary-eaefd002a5d6509dd5f12e98b538c99b33c2c1ee.tar.gz |
COMPMID-1419: Make NEGEMMAssemblyDispatch dynamically typed instead of templated
This makes it easier to integrate in GEMMLowpMatrixMultiplyCore
Change-Id: Ibf80803f016a2e6a24d943ffafb50b48f04ec545
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/140868
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h')
-rw-r--r-- | arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h index 384fbf893b..5da63311e0 100644 --- a/arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h +++ b/arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h @@ -43,7 +43,7 @@ class ITensor; * -# @ref NEWinogradLayerTransformWeightsKernel (executed only once in the first call to the run() method ) * -# @ref NEWinogradLayerTransformInputKernel * -# @ref NEWinogradLayerTransformOutputKernel - * -# @ref NEGEMMAssemblyDispatchF32 + * -# @ref NEGEMMAssemblyDispatch * -# @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 @@ -103,7 +103,7 @@ public: private: MemoryGroup _memory_group; - NEGEMMAssemblyDispatchF32 _asm_glue; + NEGEMMAssemblyDispatch _asm_glue; std::unique_ptr<INEKernel> _transform_input_kernel; std::unique_ptr<INEKernel> _transform_output_kernel; std::unique_ptr<INEKernel> _transform_weights_kernel; |