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author | Giorgio Arena <giorgio.arena@arm.com> | 2018-01-16 15:38:35 +0000 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:43:42 +0000 |
commit | 944d3f79baef6878916c1ec082a71768f0bf3409 (patch) | |
tree | 1dc18a46876aedfbe23ec18f9c43dc28ece97d47 /src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3Kernel.cpp | |
parent | 200b6e38b2f66a87dd0e73b6833554d1cab20b26 (diff) | |
download | ComputeLibrary-944d3f79baef6878916c1ec082a71768f0bf3409.tar.gz |
COMPMID-751 Processing 8 elements makes computation up to 80us faster on MobileNet QASYMM8 dwc layers
Change-Id: I30eaea3f3625086e311ad201ef73a8f06a01e382
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/116521
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3Kernel.cpp')
-rw-r--r-- | src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3Kernel.cpp | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3Kernel.cpp b/src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3Kernel.cpp index f9229ba294..1c0fe9984f 100644 --- a/src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3Kernel.cpp +++ b/src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3Kernel.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -158,9 +158,9 @@ void CLDepthwiseConvolutionLayer3x3Kernel::configure(const ICLTensor *input, con } // Configure kernel window - const unsigned int num_elems_processed_per_iteration = 2; - const unsigned int num_elems_written_per_iteration = 2; - const unsigned int num_elems_read_per_iteration = 3 + _conv_stride_x; + const unsigned int num_elems_processed_per_iteration = 8 / data_size_from_type(input->info()->data_type()); + const unsigned int num_elems_written_per_iteration = num_elems_processed_per_iteration; + const unsigned int num_elems_read_per_iteration = 3 + (num_elems_processed_per_iteration - 1) * _conv_stride_x; const unsigned int num_rows_read_per_iteration = 3; Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration)); |