| /* |
| * Copyright (c) 2017-2021 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_NEFULLYCONNECTEDLAYER_H |
| #define ARM_COMPUTE_NEFULLYCONNECTEDLAYER_H |
| |
| #include "arm_compute/runtime/IFunction.h" |
| #include "arm_compute/runtime/IMemoryManager.h" |
| #include "arm_compute/runtime/IWeightsManager.h" |
| |
| #include "arm_compute/runtime/NEON/functions/NETranspose.h" |
| #include "arm_compute/runtime/Tensor.h" |
| |
| #include <memory> |
| |
| namespace arm_compute |
| { |
| namespace weights_transformations |
| { |
| /** Basic function to manage the reshape weights generated from @ref NETranspose */ |
| class NEFullyConnectedLayerReshapeWeightsManaged : public ITransformWeights |
| { |
| public: |
| void run() override |
| { |
| _output.allocator()->allocate(); |
| _func.run(); |
| _reshape_run = true; |
| } |
| |
| void release() override |
| { |
| _output.allocator()->free(); |
| } |
| |
| ITensor *get_weights() override |
| { |
| return &_output; |
| } |
| |
| uint32_t uid() override |
| { |
| return _uid; |
| } |
| |
| void configure(const ITensor *input) |
| { |
| _func.configure(input, &_output); |
| } |
| |
| private: |
| static constexpr uint32_t _uid = 0x0; |
| Tensor _output{}; |
| NETranspose _func{}; |
| }; |
| } // namespace weights_transformations |
| |
| /** Basic function to compute a Fully Connected layer. This function calls the following kernels: |
| * -# @ref cpu::kernels::CpuIm2ColKernel (called when the input comes from a convolutional layer) |
| * -# @ref NETranspose (if @p are_weights_reshaped is set to false and transpose_weights is set to true ) (called once) |
| * -# @ref NEGEMM or @ref NEGEMMLowpMatrixMultiplyCore (if quantized asymmetric) |
| * -# @ref cpu::kernels::CpuGemmMatrixAdditionKernel or @ref NEGEMMLowpOutputStage (if quantized asymmetric) (if @p biases is not equal to nullptr) |
| * |
| * @note The fully connected layer accepts "weights" tensors only with 2 dimensions. |
| */ |
| class NEFullyConnectedLayer : public IFunction |
| { |
| public: |
| /** Constructor */ |
| NEFullyConnectedLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr, IWeightsManager *weights_manager = nullptr); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEFullyConnectedLayer(const NEFullyConnectedLayer &) = delete; |
| /** Prevent instances of this class from being moved (As this class contains pointers) */ |
| NEFullyConnectedLayer(NEFullyConnectedLayer &&) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEFullyConnectedLayer &operator=(const NEFullyConnectedLayer &) = delete; |
| /** Prevent instances of this class from being moved (As this class contains pointers) */ |
| NEFullyConnectedLayer &operator=(NEFullyConnectedLayer &&) = delete; |
| /** Default destructor */ |
| ~NEFullyConnectedLayer(); |
| /** Set the input and output tensors. |
| * |
| * Valid data layouts: |
| * - NHWC |
| * - NCHW |
| * |
| * Valid data type configurations: |
| * |src0 |src1 |src2 |dst | |
| * |:--------------|:------------------|:------|:--------------| |
| * |F16 |F16 |F16 |F16 | |
| * |F32 |F32 |F32 |F32 | |
| * |QASYMM8 |QASYMM8 |S32 |QASYMM8 | |
| * |QASYMM8_SIGNED |QASYMM8_SIGNED |S32 |QASYMM8_SIGNED | |
| * |
| * @param[in] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32. |
| * @param[in] weights Weights tensor. The weights must be 2 dimensional. |
| * If this function is called after a Convolution Layer, the (transposed) weights will have as many rows as the product of the first 3 input's dimensions. |
| * If it is called after another FullyConnected Layer, the (transposed) weights will have as many rows as the input's first dimension. |
| * Data type supported: Same as @p input. |
| * @param[in] biases Bias tensor. Can be nullptr. Data type supported: Same as @p weights, S32 if @p weights is QASYMM8/QASYMM8_SIGNED. |
| * @param[out] output Destination tensor. Its shape should be equal to the output of a matrix multiplication between: |
| * - The output of im2col on the input and the (transposed) 2D weights, if the function is called after a Convolution Layer |
| * - The input tensor and the (transposed) 2D weights, if the function is called after another FullyConnected Layer. |
| * Data type supported: Same as @p input. |
| * @param[in] fc_info (Optional) Fully connected layer additional info |
| */ |
| void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, |
| FullyConnectedLayerInfo fc_info = FullyConnectedLayerInfo()); |
| /** Static function to check if given info will lead to a valid configuration of @ref NEFullyConnectedLayer |
| * |
| * Similar to @ref NEFullyConnectedLayer |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, |
| FullyConnectedLayerInfo fc_info = FullyConnectedLayerInfo()); |
| |
| //Inherited methods override |
| void run() override; |
| void prepare() override; |
| |
| private: |
| struct Impl; |
| std::unique_ptr<Impl> _impl; |
| }; |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_NEFULLYCONNECTEDLAYER_H */ |