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-/*
- * Copyright (c) 2018-2021 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_CPU_CONVERTFULLYCONNECTEDWEIGHTS_KERNEL_H
-#define ARM_COMPUTE_CPU_CONVERTFULLYCONNECTEDWEIGHTS_KERNEL_H
-
-#include "src/core/common/Macros.h"
-#include "src/core/cpu/ICpuKernel.h"
-
-namespace arm_compute
-{
-namespace cpu
-{
-namespace kernels
-{
-/** Interface to convert the 2D Fully Connected weights from NCHW to NHWC or vice versa.
- *
- * @note This function can be applied to the 2D weights used by a Fully Connected layer if:
- * - It follows a Convolution layer
- * - The data layout used by the network does not match the one the model has been trained in.
- *
- * @note This function assumes the weights are already reshaped (transposed)
- */
-class CpuConvertFullyConnectedWeightsKernel : public ICpuKernel
-{
-public:
- /** Default constructor */
- CpuConvertFullyConnectedWeightsKernel();
- ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuConvertFullyConnectedWeightsKernel);
- /** Set the src and dst tensor.
- *
- * @param[in] src Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All.
- * @param[in] dst The converted weights tensor info. Shape and Data Type: Same as @p src.
- * @param[in] original_input_shape Shape of the original src tensor (the one entering fully connected layer).
- * @param[in] data_layout The data layout the weights have been trained in.
- */
- void configure(const ITensorInfo *src, ITensorInfo *dst, const TensorShape &original_input_shape, DataLayout data_layout);
- /** Static function to check if given info will lead to a valid configuration of @ref CpuConvertFullyConnectedWeightsKernel
- *
- * @param[in] src Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All.
- * @param[in] dst The converted weights tensor info. Shape and Data Type: Same as @p src.
- * @param[in] original_input_shape Shape of the original src tensor (the one entering fully connected layer).
- * @param[in] data_layout The data layout the weights have been trained in.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const TensorShape &original_input_shape, DataLayout data_layout);
-
- // Inherited methods overridden:
- void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
- const char *name() const override;
-
-private:
- unsigned int _factor1; /* equals to the number of elements per original src plane if @p data_layout == NCHW; its number of channels otherwise */
- unsigned int _factor2; /* equals to the number of elements per original src plane if @p data_layout == NHWC; its number of channels otherwise */
-
- /** Template function to run the permute
- *
- * @param[in] in Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All.
- * @param[in] out The converted weights tensor info. Shape and Data Type: Same as @p in.
- * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()).
- */
- template <typename T>
- void run_convert_fc_weights(const ITensor *in, ITensor *out, const Window &window);
-};
-} // namespace kernels
-} // namespace cpu
-} // namespace arm_compute
-#endif /*ARM_COMPUTE_CPU_CONVERTFULLYCONNECTEDWEIGHTS_KERNEL_H */ \ No newline at end of file