giuros01 | 154bc1c | 2019-03-26 17:44:40 +0000 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2019 Arm Limited. |
giuros01 | 154bc1c | 2019-03-26 17:44:40 +0000 | [diff] [blame] | 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 | */ |
Michalis Spyrou | f464337 | 2019-11-29 16:17:13 +0000 | [diff] [blame] | 24 | #ifndef ARM_COMPUTE_NEFFTCONVOLUTIONLAYER_H |
| 25 | #define ARM_COMPUTE_NEFFTCONVOLUTIONLAYER_H |
giuros01 | 154bc1c | 2019-03-26 17:44:40 +0000 | [diff] [blame] | 26 | |
| 27 | #include "arm_compute/runtime/IFunction.h" |
| 28 | |
| 29 | #include "arm_compute/core/Types.h" |
| 30 | #include "arm_compute/runtime/NEON/functions/NEActivationLayer.h" |
| 31 | #include "arm_compute/runtime/NEON/functions/NEArithmeticAddition.h" |
| 32 | #include "arm_compute/runtime/NEON/functions/NEFFT2D.h" |
| 33 | #include "arm_compute/runtime/NEON/functions/NEPadLayer.h" |
| 34 | #include "arm_compute/runtime/NEON/functions/NEPermute.h" |
| 35 | #include "arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h" |
| 36 | #include "arm_compute/runtime/NEON/functions/NEReductionOperation.h" |
| 37 | #include "arm_compute/runtime/NEON/functions/NEReshapeLayer.h" |
| 38 | #include "arm_compute/runtime/NEON/functions/NEReverse.h" |
| 39 | #include "arm_compute/runtime/NEON/functions/NESlice.h" |
| 40 | |
| 41 | namespace arm_compute |
| 42 | { |
| 43 | // Forward declarations |
| 44 | class ITensor; |
| 45 | |
| 46 | /** Basic function to execute FFT-based convolution on NEON. This function calls the following NEON functions/kernels: |
| 47 | * |
| 48 | * -# @ref NEPermute Permute input if NHWC(only NCHW is supported). |
| 49 | * -# @ref NEPadLayer Pad input. |
| 50 | * -# @ref NEFFT2D Forward transform to the frequency domain. |
| 51 | * -# @ref NEComplexPixelWiseMultiplication Complex element-wise product of input and the weights. |
| 52 | * -# @ref NEReductionOperation Reduction across channels. |
| 53 | * -# @ref NEFFT2D Inverse transform back to the time domain. |
| 54 | * -# @ref NEStridedSlice Extract valid output. |
| 55 | * -# @ref NEArithmeticAddition Add bias. |
| 56 | * -# @ref NEActivationLayer Perform activation. |
| 57 | * -# @ref NEPermute Permute output if NHWC(only NCHW is supported). |
| 58 | */ |
| 59 | class NEFFTConvolutionLayer : public IFunction |
| 60 | { |
| 61 | public: |
| 62 | /** Default constructor */ |
| 63 | NEFFTConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
| 64 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 65 | NEFFTConvolutionLayer(const NEFFTConvolutionLayer &) = delete; |
| 66 | /** Default move constructor */ |
| 67 | NEFFTConvolutionLayer(NEFFTConvolutionLayer &&) = default; |
| 68 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 69 | NEFFTConvolutionLayer &operator=(const NEFFTConvolutionLayer &) = delete; |
| 70 | /** Default move assignment operator */ |
| 71 | NEFFTConvolutionLayer &operator=(NEFFTConvolutionLayer &&) = default; |
| 72 | /** Set the input and output tensors. |
| 73 | * |
| 74 | * @note: This function only works with any square kernel size and unit strides for both NCHW and NHWC data layout |
| 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: 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 | * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].Data type supported: Same as @p input |
| 81 | * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. |
| 82 | * Data types supported: Same as @p input. |
| 83 | * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| 84 | * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
| 85 | */ |
| 86 | void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, |
| 87 | const ActivationLayerInfo &act_info = ActivationLayerInfo()); |
| 88 | /** Static function to check if given info will lead to a valid configuration of @ref NEFFTConvolutionLayer |
| 89 | * |
| 90 | * @note: This function only works with any square kernel size and unit strides for both NCHW and NHWC data layout |
| 91 | * |
| 92 | * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], |
| 93 | * while every optional dimension from 4 and above represent a batch of inputs. |
| 94 | * Data types supported: F32. |
| 95 | * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input. |
| 96 | * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].Data type supported: Same as @p input |
| 97 | * @param[in] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. |
| 98 | * Data types supported: Same as @p input. |
| 99 | * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| 100 | * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
| 101 | * |
| 102 | * @return a status |
| 103 | */ |
| 104 | static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, |
| 105 | const ActivationLayerInfo &act_info = ActivationLayerInfo()); |
| 106 | |
| 107 | // Inherited methods overridden: |
| 108 | void run() override; |
| 109 | void prepare() override; |
| 110 | |
| 111 | private: |
| 112 | MemoryGroup _memory_group; |
| 113 | NEReverse _flip_weights_func; |
| 114 | NEPermute _permute_input_func; |
| 115 | NEPermute _permute_output_func; |
| 116 | NEPermute _permute_weights_func; |
| 117 | NEPermute _permute_bias_func; |
| 118 | NEPadLayer _pad_input_func; |
| 119 | NEPadLayer _pad_weights_func; |
| 120 | NEFFT2D _transform_input_func; |
| 121 | std::unique_ptr<NEFFT2D> _transform_weights_func; |
| 122 | NEFFT2D _itransform_output_func; |
| 123 | NEComplexPixelWiseMultiplication _prod_func; |
| 124 | NEReductionOperation _reduce_func; |
| 125 | NESlice _extract_output_func; |
| 126 | NEArithmeticAddition _bias_add_func; |
| 127 | NEActivationLayer _activation_layer_func; |
| 128 | |
| 129 | Tensor _permuted_input; |
| 130 | Tensor _permuted_weights; |
| 131 | Tensor _permuted_bias; |
| 132 | Tensor _permuted_output; |
| 133 | Tensor _padded_input; |
| 134 | Tensor _padded_weights; |
| 135 | Tensor _flip_axis; |
| 136 | Tensor _flipped_weights; |
| 137 | Tensor _transformed_input; |
| 138 | Tensor _transformed_weights; |
| 139 | Tensor _input_weights_product; |
| 140 | Tensor _output_product; |
| 141 | Tensor _output_reduced; |
| 142 | Tensor _itransformed_output; |
| 143 | Tensor _reshaped_output; |
| 144 | Tensor _bias_output; |
| 145 | |
| 146 | const ITensor *_original_weights; |
| 147 | const ITensor *_original_bias; |
| 148 | bool _is_activationlayer_enabled; |
| 149 | bool _needs_permute; |
| 150 | bool _has_bias; |
| 151 | bool _is_prepared; |
| 152 | }; |
| 153 | } // namespace arm_compute |
Michalis Spyrou | f464337 | 2019-11-29 16:17:13 +0000 | [diff] [blame] | 154 | #endif /* ARM_COMPUTE_NEFFTCONVOLUTIONLAYER_H */ |