| /* |
| * Copyright (c) 2017-2018 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_GCCONVOLUTIONLAYER_H__ |
| #define __ARM_COMPUTE_GCCONVOLUTIONLAYER_H__ |
| |
| #include "arm_compute/core/GLES_COMPUTE/kernels/GCCol2ImKernel.h" |
| #include "arm_compute/core/GLES_COMPUTE/kernels/GCFillBorderKernel.h" |
| #include "arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h" |
| #include "arm_compute/core/GLES_COMPUTE/kernels/GCWeightsReshapeKernel.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/GLES_COMPUTE/GCMemoryGroup.h" |
| #include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h" |
| #include "arm_compute/runtime/GLES_COMPUTE/functions/GCActivationLayer.h" |
| #include "arm_compute/runtime/GLES_COMPUTE/functions/GCGEMM.h" |
| #include "arm_compute/runtime/IFunction.h" |
| |
| #include <memory> |
| |
| namespace arm_compute |
| { |
| class IGCTensor; |
| |
| /** Function to reshape and transpose the weights. This function calls the following kernels: |
| * -# @ref GCWeightsReshapeKernel |
| */ |
| class GCConvolutionLayerReshapeWeights : public IFunction |
| { |
| public: |
| /** Constructor */ |
| GCConvolutionLayerReshapeWeights(); |
| /** Set the input and output tensors. |
| * |
| * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. |
| * Data type supported: F16/F32. |
| * @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. Data types supported: Same as @p weights. |
| */ |
| void configure(const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output); |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| GCWeightsReshapeKernel _weights_reshape_kernel; |
| GCTensor _weights_reshaped; |
| }; |
| |
| /** Basic function to compute the convolution layer. This function calls the following GLES kernels: |
| * |
| * -# @ref GCWeightsReshapeKernel (executed only once for each configuration) |
| * -# @ref GCGEMMTranspose1xWKernel (executed only once for each configuration) |
| * -# @ref GCIm2ColKernel |
| * -# @ref GCGEMMInterleave4x4Kernel |
| * -# @ref GCCol2ImKernel |
| */ |
| class GCConvolutionLayer : public IFunction |
| { |
| public: |
| /** Default constructor */ |
| GCConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| GCConvolutionLayer(const GCConvolutionLayer &) = delete; |
| /** Default move constructor */ |
| GCConvolutionLayer(GCConvolutionLayer &&) = default; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| GCConvolutionLayer &operator=(const GCConvolutionLayer &) = delete; |
| /** Default move assignment operator */ |
| GCConvolutionLayer &operator=(GCConvolutionLayer &&) = default; |
| /** 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: 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: Should match @p input data type, except for input of QASYMM8 type where biases should be of S32 type. |
| * @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] weights_info Specifies if the weights tensor has been reshaped with GCWeightsReshapeKernel. If this is not part of the fully connected layer the weights |
| * tensor has also been transposed with GCGEMMTranspose1xWKernel. Data type supported: Same as @p input. |
| * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
| * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
| */ |
| void configure(const IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, const PadStrideInfo &conv_info, |
| const WeightsInfo &weights_info = WeightsInfo(), const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo()); |
| /** Static function to check if given info will lead to a valid configuration of @ref GCConvolutionLayer. |
| * |
| * @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: QS8/QASYMM8/QS16/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: Should match @p input data type, except for input of QASYMM8 type where biases should be of S32 type. |
| * @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] weights_info Specifies if the weights tensor has been reshaped with GCWeightsReshapeKernel. If this is not part of the fully connected layer the weights |
| * tensor has also been transposed with GCGEMMTranspose1xWKernel. Data type supported: Same as @p input. |
| * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
| * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, |
| const WeightsInfo &weights_info = WeightsInfo(), const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo()); |
| |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| /** Configures the appropriate matrix multiply routine |
| * |
| * @param input Input tensor. Data types supported: F16/F32. |
| * @param weights Weights tensor. Data type supported: Same as @p input. |
| * @param output Output tensor. Data types supported: Same as @p input, |
| */ |
| void configure_mm(const IGCTensor *input, const IGCTensor *weights, IGCTensor *output); |
| /** Static function to check if given info will lead to a valid configuration of @ref GCGEMMConvolutionLayer matrix multiply routines |
| * |
| * @param[in] input Input tensor. Data types supported: QS8/QASYMM8/QS16/F16/F32. |
| * @param[in] weights Weights tensor. Data type supported: Same as @p input. |
| * @param[in] output Output tensor. Data types supported: Same as @p input, |
| * except for input of QASYMM8 type where output should be of S32 type. |
| * |
| * @return a status |
| */ |
| static Status validate_mm(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *output); |
| |
| private: |
| GCMemoryGroup _memory_group; |
| GCConvolutionLayerReshapeWeights _reshape_weights; |
| GCIm2ColKernel _input_im2col_kernel; |
| GCGEMM _mm_gemm; |
| GCCol2ImKernel _output_col2im_kernel; |
| GCFillBorderKernel _fill_border; |
| GCActivationLayer _activationlayer_function; |
| |
| const IGCTensor *_original_weights; |
| |
| GCTensor _input_im2col_reshaped; |
| GCTensor _input_interleaved_reshaped; |
| GCTensor _weights_reshaped; |
| GCTensor _weights_transposed; |
| GCTensor _gemm_output; |
| GCTensor _tmp_output; |
| |
| bool _is_first_run; |
| bool _is_activationlayer_enabled; |
| }; |
| } |
| |
| #endif /* __ARM_COMPUTE_GCCONVOLUTIONLAYER_H__ */ |