| /* |
| * 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_GCFULLYCONNECTEDLAYER_H__ |
| #define __ARM_COMPUTE_GCFULLYCONNECTEDLAYER_H__ |
| |
| #include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMMatrixAccumulateBiasesKernel.h" |
| #include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.h" |
| #include "arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h" |
| #include "arm_compute/core/GLES_COMPUTE/kernels/GCTransposeKernel.h" |
| #include "arm_compute/runtime/GLES_COMPUTE/GCMemoryGroup.h" |
| #include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h" |
| #include "arm_compute/runtime/GLES_COMPUTE/IGCSimpleFunction.h" |
| |
| namespace arm_compute |
| { |
| /** Basic function to reshape the weights of Fully Connected layer with OpenGL ES. This function calls the following kernels: |
| * |
| * -# @ref GCTransposeKernel |
| * |
| * @note The fully connected layer accepts "weights" tensors only with 2 dimensions. |
| */ |
| class GCFullyConnectedLayerReshapeWeights : public IGCSimpleFunction |
| { |
| public: |
| /** Set the input and output tensors. |
| * |
| * @param[in] input Weights tensor. The weights must be 2 dimensional. Data types supported: F16/F32. |
| * @param[out] output Destination tensor which stores the transposed input tensor. Data type supported: Same as @p input. |
| */ |
| void configure(const IGCTensor *input, IGCTensor *output); |
| }; |
| |
| /** Basic function to compute a Fully Connected layer on OpenGL ES. This function calls the following OpenGL ES kernels: |
| * |
| * -# @ref GCIm2ColKernel (called when the input comes from a convolutional layer) |
| * -# @ref GCFullyConnectedLayerReshapeWeights (if @p are_weights_reshaped is set to false and transpose_weights is set to true ) (called once) |
| * -# @ref GCGEMMMatrixMultiplyKernel |
| * -# @ref GCGEMMMatrixAccumulateBiasesKernel (if @p biases is not equal to nullptr) |
| * |
| * @note The fully connected layer accepts "weights" tensors only with 2 dimensions. |
| */ |
| class GCFullyConnectedLayer : public IFunction |
| { |
| public: |
| /** Constructor */ |
| GCFullyConnectedLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
| /** Set the input and output tensors. |
| * |
| * @param[in] input Source tensor. Data type supported: F16/F32. |
| * @param[in] weights Weights tensor. The weights must be 2 dimensional. Data type supported: Same as @p input |
| * @param[in] biases Bias tensor. It can be nullptr. Data type supported:Same as @p input. |
| * @param[out] output Destination tensor. Data type supported: Same as @p input. |
| * @param[in] transpose_weights (Optional) Transpose weights if true. Defaults to true. |
| * @param[in] are_weights_reshaped (Optional) Reshape the weights tensor if false. Defaults to false. |
| * @param[in] retain_internal_weights (Optional) Retain internal reshaped weights. Defaults to false. |
| * Used for reconfiguration purposes. |
| */ |
| void configure(const IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, |
| bool transpose_weights = true, bool are_weights_reshaped = false, bool retain_internal_weights = false); |
| |
| //Inherited methods override |
| void run() override; |
| |
| private: |
| void configure_fc_fc(const IGCTensor *input, const IGCTensor *weights, IGCTensor *output); |
| void configure_conv_fc(const IGCTensor *input, const IGCTensor *weights, IGCTensor *output); |
| |
| GCMemoryGroup _memory_group; |
| GCIm2ColKernel _im2col_kernel; |
| GCFullyConnectedLayerReshapeWeights _reshape_weights_kernel; |
| GCGEMMMatrixMultiplyKernel _mm_kernel; |
| GCGEMMMatrixAccumulateBiasesKernel _accumulate_biases_kernel; |
| GCTensor _im2col_output; |
| GCTensor _reshape_weights_output; |
| bool _are_weights_reshaped; |
| bool _is_fc_after_conv; |
| bool _accumulate_biases; |
| }; |
| } |
| #endif /* __ARM_COMPUTE_GCFULLYCONNECTEDLAYER_H__ */ |