| /* |
| * Copyright (c) 2018-2019 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #ifndef __ARM_COMPUTE_CLWINOGRADOUTPUTTRANSFORMKERNEL_H__ |
| #define __ARM_COMPUTE_CLWINOGRADOUTPUTTRANSFORMKERNEL_H__ |
| |
| #include "arm_compute/core/CL/ICLKernel.h" |
| |
| namespace arm_compute |
| { |
| class ICLTensor; |
| |
| /** Interface for the Winograd output transform kernel. */ |
| class CLWinogradOutputTransformKernel : public ICLKernel |
| { |
| public: |
| /** Default constructor */ |
| CLWinogradOutputTransformKernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| CLWinogradOutputTransformKernel(const CLWinogradOutputTransformKernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| CLWinogradOutputTransformKernel &operator=(const CLWinogradOutputTransformKernel &) = delete; |
| /** Allow instances of this class to be moved */ |
| CLWinogradOutputTransformKernel(CLWinogradOutputTransformKernel &&) = default; |
| /** Allow instances of this class to be moved */ |
| CLWinogradOutputTransformKernel &operator=(CLWinogradOutputTransformKernel &&) = default; |
| /** Default destructor */ |
| ~CLWinogradOutputTransformKernel() = default; |
| /** 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] 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(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 |
| * |
| * @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] 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 @ref ActivationLayerInfo. Only RELU, BOUNDED_RELU, LU_BOUNDED_RELU, LEAKY_RELU and SOFT_RELU supported. |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const WinogradInfo &winograd_info, const ActivationLayerInfo &act_info = ActivationLayerInfo()); |
| |
| // Inherited methods overridden: |
| void run(const Window &window, cl::CommandQueue &queue) override; |
| |
| private: |
| using WinogradKey = std::pair<std::pair<int, int>, std::pair<int, int>>; |
| |
| const ICLTensor *_input; |
| const ICLTensor *_bias; |
| ICLTensor *_output; |
| bool _is_nhwc; |
| }; |
| } // namespace arm_compute |
| #endif /*__ARM_COMPUTE_CLWINOGRADOUTPUTTRANSFORMKERNEL_H__ */ |