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Diffstat (limited to 'arm_compute/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.h')
| -rw-r--r-- | arm_compute/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.h | 155 |
1 files changed, 0 insertions, 155 deletions
diff --git a/arm_compute/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.h b/arm_compute/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.h deleted file mode 100644 index 311b3e273b..0000000000 --- a/arm_compute/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.h +++ /dev/null @@ -1,155 +0,0 @@ -/* - * 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_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/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 "arm_compute/runtime/MemoryGroup.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; -}; - -/** 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. - * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is not supported - */ - 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(), unsigned int num_groups = 1); - - // Inherited methods overridden: - void run() override; - void prepare() 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: QASYMM8/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: - MemoryGroup _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_activationlayer_enabled; - bool _is_prepared; -}; -} - -#endif /* ARM_COMPUTE_GCCONVOLUTIONLAYER_H */ |