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| author | Manuel Bottini <manuel.bottini@arm.com> | 2019-12-10 15:28:40 +0000 |
|---|---|---|
| committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2020-01-09 11:38:00 +0000 |
| commit | 8481d833783589e70191c6388c93685b4fc4a0b8 (patch) | |
| tree | 98e171bf013ad86bfe021bcc5c5a03e8634094d1 /arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h | |
| parent | a35980546c00ae1647ce033b061530607a5ad1e4 (diff) | |
| download | ComputeLibrary-8481d833783589e70191c6388c93685b4fc4a0b8.tar.gz | |
COMPMID-2753: Add support for QASYMM8_SIGNED in CL kernels/functions
Change-Id: I7ed2d43f33458ba0571323f6fa9dc2e45fcd672a
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2516
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h index ce034cd9ba..4952029c9d 100644 --- a/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2019 ARM Limited. + * Copyright (c) 2017-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -56,7 +56,7 @@ public: /** Set the input and output tensors. * * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. - * Data type supported: QASYMM8/QSYMM8_PER_CHANNEL/F16/F32. + * Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/F16/F32. * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights. * @param[out] output Destination tensor. Data types supported: Same as @p weights. * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout @@ -65,7 +65,7 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref CLConvolutionLayerReshapeWeights * * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. - * Data type supported: QASYMM8/QSYMM8_PER_CHANNEL/F16/F32. + * Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/F16/F32. * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights. * @param[in] output Destination tensor. Data types supported: Same as @p weights. * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout @@ -88,7 +88,7 @@ class CLConvolutionLayerReshapeWeightsTransform : public ITransformWeights public: /** Configures the @ref CLConvolutionLayerReshapeWeights function * - * @param[in] input Input tensor. Data type supported: QASYMM8/F16/F32. + * @param[in] input Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32. * @param[in] biases Biases tensor. Data type supported: Same as @p input. * @param[in] num_groups Number of groups when performing a grouped convolution. */ |