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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/runtime/CL/functions/CLDirectConvolutionLayer.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/runtime/CL/functions/CLDirectConvolutionLayer.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h index 1e12ab95c1..4c85277c05 100644 --- a/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h @@ -45,7 +45,7 @@ public: * * @param[in] input Source tensor. 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. + * Data types supported: QS8/QS16/F16/F32. * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input. * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported:Same as @p input. * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. |