| /* |
| * Copyright (c) 2017-2019 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_NEWINOGRADCONVOLUTIONLAYER_H__ |
| #define __ARM_COMPUTE_NEWINOGRADCONVOLUTIONLAYER_H__ |
| |
| #include "arm_compute/runtime/IFunction.h" |
| |
| #include "arm_compute/core/NEON/INEKernel.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/CPP/functions/CPPPermute.h" |
| #include "arm_compute/runtime/MemoryGroup.h" |
| #include "arm_compute/runtime/NEON/functions/NEActivationLayer.h" |
| #include "arm_compute/runtime/NEON/functions/NEGEMM.h" |
| |
| #include "arm_compute/runtime/Tensor.h" |
| |
| #include <memory> |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| /** Basic function to simulate a convolution layer. This function calls the following NEON kernels: |
| * -# @ref NEWinogradLayerTransformWeightsKernel (executed only once in the first call to the run() method ) |
| * -# @ref NEWinogradLayerTransformInputKernel |
| * -# @ref NEWinogradLayerTransformOutputKernel |
| * -# @ref NEGEMMAssemblyDispatch |
| * -# @ref CPPPermute (three times: weights, input and output) |
| * |
| * @note Some Winograd configurations (i.e. F(2x2, 5x5), F(4x4, 5x5)) are supported only with enable_fast_math = true |
| */ |
| class NEWinogradConvolutionLayer : public IFunction |
| { |
| public: |
| /** Constructor */ |
| NEWinogradConvolutionLayer(const std::shared_ptr<IMemoryManager> &memory_manager = nullptr); |
| |
| /** Set the input and output tensors. |
| * |
| * @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: 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. |
| * Currently only 3x3 and 5x5 kernels are supported. |
| * @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. 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. Currently only unit strides are supported. |
| * @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(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info = ActivationLayerInfo(), |
| bool enable_fast_math = false); |
| |
| // Inherited methods overridden: |
| void run() override; |
| void prepare() override; |
| |
| /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMConvolutionLayer |
| * |
| * @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: 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. |
| * Currently only 3x3 and 5x5 kernels are supported. |
| * @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. 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. Currently only unit strides are supported. |
| * @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); |
| |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEWinogradConvolutionLayer(const NEWinogradConvolutionLayer &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEWinogradConvolutionLayer &operator=(const NEWinogradConvolutionLayer &) = delete; |
| |
| private: |
| MemoryGroup _memory_group; |
| NEGEMM _gemm_function; |
| std::unique_ptr<INEKernel> _transform_input_kernel; |
| std::unique_ptr<INEKernel> _transform_output_kernel; |
| std::unique_ptr<INEKernel> _transform_weights_kernel; |
| NEActivationLayer _activationlayer_function; |
| |
| CPPPermute _permute_input; |
| CPPPermute _permute_weights; |
| CPPPermute _permute_output; |
| Tensor _input_transformed; |
| Tensor _output_transformed; |
| Tensor _input_workspace; |
| Tensor _output_workspace; |
| Tensor _kernel_storage; |
| Tensor _input_nhwc; |
| Tensor _output_nhwc; |
| Tensor _weights_hwio; |
| const ITensor *_input; |
| const ITensor *_weights; |
| ITensor *_output; |
| bool _is_prepared; |
| bool _is_activationlayer_enabled; |
| }; |
| } |
| #endif /* __ARM_COMPUTE_NEWINOGRADCONVOLUTIONLAYER_H__ */ |