| /* |
| * 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_NEWEIGHTSRESHAPEKERNEL_H__ |
| #define __ARM_COMPUTE_NEWEIGHTSRESHAPEKERNEL_H__ |
| |
| #include "arm_compute/core/NEON/INEKernel.h" |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| |
| /** NEON kernel to perform reshaping on the weights used by convolution and locally connected layer |
| * |
| * Rearranges each 3-dimensional kernel to a single row leading to a matrix with linearized kernels. |
| * In combination with the @ref NEIm2ColKernel can transform a convolution to a matrix multiplication. |
| * |
| * For example assuming a 3D weight kernel of 3x3 dimensions and depth of 2 we have: |
| * @f[ |
| * \left( \begin{array}{ccc} |
| * a000 & a001 & a002 \\ |
| * a010 & a011 & a012 \\ |
| * a020 & a021 & a022 \\ |
| * \end{array} \right) |
| * \left( \begin{array}{ccc} |
| * a100 & a101 & a102 \\ |
| * a110 & a111 & a112 \\ |
| * a120 & a121 & a122 \\ |
| * \end{array} \right) |
| * \rightarrow |
| * \left( \begin{array}{ccccccccc} |
| * a000 & a001 & a002 & a010 & a011 & a012 & a020 & a021 & a022 & a100 & a101 & a102 & a110 & a111 & a112 & a120 & a121 & a122 \\ |
| * \end{array} \right) |
| * @f] |
| */ |
| class NEWeightsReshapeKernel : public INEKernel |
| { |
| public: |
| const char *name() const override |
| { |
| return "NEWeightsReshapeKernel"; |
| } |
| /** Constructor.*/ |
| NEWeightsReshapeKernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEWeightsReshapeKernel(const NEWeightsReshapeKernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEWeightsReshapeKernel &operator=(const NEWeightsReshapeKernel &) = delete; |
| /** Allow instances of this class to be moved */ |
| NEWeightsReshapeKernel(NEWeightsReshapeKernel &&) = default; |
| /** Allow instances of this class to be moved */ |
| NEWeightsReshapeKernel &operator=(NEWeightsReshapeKernel &&) = default; |
| /** Default destructor */ |
| ~NEWeightsReshapeKernel() = default; |
| /** Set the input and output of the kernel. |
| * |
| * @param[in] input The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared, |
| * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. Data types supported: QS8/QASYMM8/QS16/F32 |
| * @param[in] bias The shared biases tensor to append. Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with |
| * dimensions [OFM, num_patches] if unshared. Data types supported: Same as @p input |
| * @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types. |
| * @param[out] output The output tensor. Data types supported: Same as @p input |
| */ |
| void configure(const ITensor *input, const ITensor *bias, ITensor *output); |
| /** Static function to check if given info will lead to a valid configuration of @ref NEWeightsReshapeKernel |
| * |
| * @param[in] input The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared, |
| * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. Data types supported: QS8/QASYMM8/QS16/F16/F32 |
| * @param[in] biases The shared biases tensor to append. Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with |
| * dimensions [OFM, num_patches] if unshared. Data types supported: Same as @p input |
| * @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types. |
| * @param[in] output The output tensor. Should be a 2D Tensor. Data types supported: Same as @p input |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *biases, const ITensorInfo *output); |
| |
| // Inherited methods overridden: |
| void run(const Window &window, const ThreadInfo &info) override; |
| |
| private: |
| using WeightsReshapeKernel = void(const ITensor *input, const ITensor *bias, ITensor *output, const Window &window); |
| |
| WeightsReshapeKernel *_func; |
| const ITensor *_input; |
| const ITensor *_bias; |
| ITensor *_output; |
| }; |
| } // namespace arm_compute |
| #endif /*__ARM_COMPUTE_NEWEIGHTSRESHAPEKERNEL_H__ */ |