| /* |
| * Copyright (c) 2017-2022 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_CPU_WEIGHTSRESHAPE_KERNEL_H |
| #define ARM_COMPUTE_CPU_WEIGHTSRESHAPE_KERNEL_H |
| |
| #include "src/core/common/Macros.h" |
| #include "src/cpu/ICpuKernel.h" |
| |
| namespace arm_compute |
| { |
| namespace cpu |
| { |
| namespace kernels |
| { |
| /** 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 cpu::kernels::CpuIm2ColKernel 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 CpuWeightsReshapeKernel : public ICpuKernel<CpuWeightsReshapeKernel> |
| { |
| public: |
| /** Default constructor */ |
| CpuWeightsReshapeKernel() = default; |
| ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuWeightsReshapeKernel); |
| /** Set the input and output of the kernel. |
| * |
| * @param[in] src The input tensor info 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: All |
| * @param[in] biases The shared biases tensor info 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] dst The output tensor info. Data types supported: Same as @p src |
| */ |
| void configure(const ITensorInfo *src, const ITensorInfo *biases, ITensorInfo *dst); |
| /** Static function to check if given info will lead to a valid configuration |
| * |
| * Similar to CpuWeightsReshapeKernel::configure() |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *src, const ITensorInfo *biases, const ITensorInfo *dst); |
| |
| // Inherited methods overridden: |
| void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; |
| const char *name() const override; |
| }; |
| } // namespace kernels |
| } // namespace cpu |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_CPU_WEIGHTSRESHAPE_KERNEL_H */ |