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author | Manuel Bottini <manuel.bottini@arm.com> | 2020-04-08 10:15:51 +0100 |
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committer | Manuel Bottini <manuel.bottini@arm.com> | 2020-04-17 14:10:38 +0000 |
commit | 4c6bd514a8d424a29b776754f1b3426fa3a8c339 (patch) | |
tree | ed20ea238ae069ab138b62ea6879e0c1b955b606 /arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h | |
parent | d2f6d96cdc2ad2169c4abd0a8c4884f61ed6d186 (diff) | |
download | ComputeLibrary-4c6bd514a8d424a29b776754f1b3426fa3a8c339.tar.gz |
COMPMID-3280: Make all ML primitives for CL use the new interface - Part 1
- Only CLKernels have been updated
Change-Id: Ife55b847c2e39e712a186eb6ca452503d5b66937
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3001
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h')
-rw-r--r-- | arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h | 24 |
1 files changed, 23 insertions, 1 deletions
diff --git a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h index c61e78674f..aab244bb90 100644 --- a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h +++ b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -66,6 +66,28 @@ public: * @param[in] act_info (Optional) Activation layer information in case of a fused activation. */ void configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const WinogradInfo &winograd_info, const ActivationLayerInfo &act_info = ActivationLayerInfo()); + /** Set the input and output tensor. + * + * @note Winograd output transform supports the following configurations for NCWH data layout + * F(output tile, kernel size):F(2x2, 3x3), F(2x1, 3x1), F(1x2, 1x3), + * F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), + * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) + * + * @note Winograd output transform supports the following configurations for NHWC data layout + * F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), + * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) + * + * Strides: only unit strides + * + * @param[in] compile_context The compile context to be used. + * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F16/F32. + * @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input + * @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_output_transform_shape. Data types supported: Same as @p input + * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo + * @param[in] act_info (Optional) Activation layer information in case of a fused activation. + */ + void configure(CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const WinogradInfo &winograd_info, + const ActivationLayerInfo &act_info = ActivationLayerInfo()); /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradOutputTransformKernel * |