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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2017-11-17 10:55:00 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | 540d008180a39a84770e51b4bc891cd2ff85980e (patch) | |
| tree | 500faadfafde7b92bdf7cb46c01501d2db01728f /arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h | |
| parent | 43ce898014faabbe8ab1cdf714b7aad3d3c9b2a9 (diff) | |
| download | ComputeLibrary-540d008180a39a84770e51b4bc891cd2ff85980e.tar.gz | |
COMPMID-556: Fixes bias in CLDirectConvolutionLayer to be int32.
Biases were incorrectly passed as uchar8 in asymmetric quantized
calculations while they should be in int32.
Change-Id: I461f5e4ef6eb44374c1094378a1bfe9ade5e247d
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/96244
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h index 85deeaef37..da786d71df 100644 --- a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h @@ -60,7 +60,8 @@ public: * @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. - * @param[in] biases Biases tensor. Biases are 1D tensor with dimension [OFM]. Data type supported: Same as @p input. + * @param[in] biases Biases tensor. Biases are 1D tensor with dimension [OFM]. + * Data type supported: Should match @p input data type, except for input of QASYMM8 type where biases should be of S32 type * @param[out] output Output tensor. * The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: Same as @p input. * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |