1 /* 2 * Copyright (c) 2017-2022 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24 #ifndef ARM_COMPUTE_NEWINOGRADCONVOLUTIONLAYER_H 25 #define ARM_COMPUTE_NEWINOGRADCONVOLUTIONLAYER_H 26 27 #include "arm_compute/runtime/IFunction.h" 28 29 #include "arm_compute/core/Types.h" 30 #include "arm_compute/runtime/Tensor.h" 31 32 #include <memory> 33 34 namespace arm_compute 35 { 36 // Forward declarations 37 class ITensor; 38 39 /** Basic function to simulate a convolution layer. This function calls the following kernels: 40 * 41 * -# @ref cpu::CpuWinogradConv2dTransformInputKernel 42 * -# @ref cpu::CpuWinogradConv2dTransformOutputKernel 43 * -# @ref cpu::CpuGemmAssemblyDispatch 44 * -# @ref CPPPermute (three times: weights, input and output) 45 * 46 * @note Some Winograd configurations (i.e. F(2x2, 5x5), F(4x4, 5x5)) are supported only with enable_fast_math = true 47 */ 48 class NEWinogradConvolutionLayer : public IFunction 49 { 50 public: 51 /** Constructor */ 52 NEWinogradConvolutionLayer(const std::shared_ptr<IMemoryManager> &memory_manager = nullptr); 53 /** Prevent instances of this class from being copied (As this class contains pointers) */ 54 NEWinogradConvolutionLayer(const NEWinogradConvolutionLayer &) = delete; 55 /** Default move constructor */ 56 NEWinogradConvolutionLayer(NEWinogradConvolutionLayer &&) = default; 57 /** Prevent instances of this class from being copied (As this class contains pointers) */ 58 NEWinogradConvolutionLayer &operator=(const NEWinogradConvolutionLayer &) = delete; 59 /** Default move assignment operator */ 60 NEWinogradConvolutionLayer &operator=(NEWinogradConvolutionLayer &&) = default; 61 /** Destructor */ 62 ~NEWinogradConvolutionLayer(); 63 64 /** Set the input and output tensors. 65 * 66 * Valid data layouts: 67 * - NHWC 68 * - NCHW 69 * 70 * Valid data type configurations: 71 * |src0 |src1 |src2 |dst | 72 * |:--------------|:--------------|:------|:--------------| 73 * |F16 |F16 |F16 |F16 | 74 * |F32 |F32 |F32 |F32 | 75 * 76 * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], 77 * while every optional dimension from 4 and above represent a batch of inputs. 78 * Data types supported: F16/F32. 79 * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: Same as @p input. 80 * Currently only 3x3 and 5x5 kernels are supported. 81 * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights. 82 * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. 83 * Data types supported: Same as @p input. 84 * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. Currently only unit strides are supported. 85 * @param[in] act_info (Optional) Activation layer information in case of a fused activation. 86 * @param[in] enable_fast_math (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation 87 * available which may introduce a drop of accuracy as well. Default is false 88 */ 89 void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info = ActivationLayerInfo(), 90 bool enable_fast_math = false); 91 92 // Inherited methods overridden: 93 void run() override; 94 void prepare() override; 95 96 /** Static function to check if given info will lead to a valid configuration of @ref NEWinogradConvolutionLayer 97 * 98 * Similar to @ref NEWinogradConvolutionLayer::configure() 99 * 100 * @return a status 101 */ 102 static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, 103 const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false); 104 105 private: 106 struct Impl; 107 std::unique_ptr<Impl> _impl; 108 }; 109 } // namespace arm_compute 110 #endif /* ARM_COMPUTE_NEWINOGRADCONVOLUTIONLAYER_H */ 111