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| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2017-08-16 18:38:32 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | 1246b63ca04cb067f26ae860688647224d6ba24e (patch) | |
| tree | a805ff1faa1de1b06f3569926ec2f09b63ecdb5f /arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h | |
| parent | f583fb74ecaad9d57672e1422d68566a78bb503e (diff) | |
| download | ComputeLibrary-1246b63ca04cb067f26ae860688647224d6ba24e.tar.gz | |
COMPMID-477 - Optimized Direct Convolution 3x3 and 5x5 (f32) for Bifrost.
Each work-item computes 4x3 output elements in case of 3x3 convolution and 4x2 in case of 5x5 convolution
Change-Id: I6ebbaff8b7e971c1f90d5845c0b58d2a40f39df5
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/84345
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h index e225b64bae..cdde8d4bfd 100644 --- a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h @@ -56,7 +56,7 @@ public: * 5x5 convolution with stride_x = 1/2, stride_y = 1/2 * * @param[in] input The input tensor to convolve. 3 lower dimensions represent a single input [width, height, IFM], - * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: F16/F32. + * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QS16/F16/F32. * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. * The 3rd dimension must be the same as the input's volume 3rd dimension. * Data type supported:Same as @p input. |