| /* |
| * 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_CLWINOGRADCONVOLUTIONLAYER_H |
| #define ARM_COMPUTE_CLWINOGRADCONVOLUTIONLAYER_H |
| |
| #include "arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h" |
| #include "arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/CL/functions/CLGEMM.h" |
| #include "arm_compute/runtime/CL/functions/CLWinogradInputTransform.h" |
| #include "arm_compute/runtime/IFunction.h" |
| |
| namespace arm_compute |
| { |
| class ICLTensor; |
| |
| /** Basic function to execute Winograd-based convolution on OpenCL. This function calls the following OpenCL functions/kernels: |
| * |
| * -# @ref CLWinogradInputTransform |
| * -# @ref CLWinogradFilterTransformKernel (only once) |
| * -# @ref CLGEMM |
| * -# @ref CLWinogradOutputTransformKernel |
| * |
| */ |
| class CLWinogradConvolutionLayer : public IFunction |
| { |
| public: |
| /** Default constructor */ |
| CLWinogradConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| CLWinogradConvolutionLayer(const CLWinogradConvolutionLayer &) = delete; |
| /** Default move constructor */ |
| CLWinogradConvolutionLayer(CLWinogradConvolutionLayer &&) = default; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| CLWinogradConvolutionLayer &operator=(const CLWinogradConvolutionLayer &) = delete; |
| /** Default move assignment operator */ |
| CLWinogradConvolutionLayer &operator=(CLWinogradConvolutionLayer &&) = default; |
| /** Set the input and output tensors. |
| * |
| * @note: This function only works with 3x3,3x1,1x3,5x5,5x1,1x5,7x1 and 1x7 kernels along with unit strides for both NCHW and NHWC data layout |
| * @note Some Winograd configurations (i.e. F(4x4, 5x5)) are supported only with enable_fast_math = true |
| * |
| * @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. |
| * @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. |
| * Data types supported: Same as @p input. |
| * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
| * @param[in] enable_fast_math (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation |
| * available which may introduce a drop of accuracy as well. Default is false |
| */ |
| void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, |
| const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false); |
| /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradConvolutionLayer |
| * |
| * @note: This function only works with 3x3,3x1,1x3,5x5,5x1 and 1x5 kernels along with unit strides for both NCHW and NHWC data layout |
| * @note Some Winograd configurations (i.e. F(4x4, 5x5)) are supported only with enable_fast_math = true |
| * |
| * @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. |
| * @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. |
| * Data types supported: Same as @p input. |
| * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
| * @param[in] enable_fast_math (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation |
| * available which may introduce a drop of accuracy as well. Default is false |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, |
| const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false); |
| |
| // Inherited methods overridden: |
| void run() override; |
| void prepare() override; |
| |
| private: |
| MemoryGroup _memory_group; |
| CLGEMM _batched_mm; |
| CLWinogradInputTransform _input_transform; |
| CLWinogradFilterTransformKernel _filter_transform; |
| CLWinogradOutputTransformKernel _output_transform; |
| CLTensor _input0; |
| CLTensor _input1; |
| CLTensor _batched_mm_output; |
| const ICLTensor *_original_weights; |
| bool _is_prepared; |
| }; |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_CLWINOGRADCONVOLUTIONLAYER_H */ |