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/*
* Copyright (c) 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_NECONVERTFULLYCONNECTEDWEIGHTS_H__
#define __ARM_COMPUTE_NECONVERTFULLYCONNECTEDWEIGHTS_H__
#include "arm_compute/core/NEON/kernels/NEConvertFullyConnectedWeightsKernel.h"
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
namespace arm_compute
{
class ITensor;
/** Basic function to run @ref NEConvertFullyConnectedWeightsKernel. */
class NEConvertFullyConnectedWeights : public IFunction
{
public:
/** Default constructor */
NEConvertFullyConnectedWeights();
/** Initialize the function.
*
* @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/QS32/F16/F32.
* @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input.
* @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). Must be in NCHW format.
* @param[in] data_layout The data layout the weights have been trained in.
*/
void configure(const ITensor *input, ITensor *output, const TensorShape &original_input_shape, DataLayout data_layout);
/** Static function to check if given info will lead to a valid configuration of @ref NEConvertFullyConnectedWeights
*
* @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/QS32/F16/F32.
* @param[in] output The converted weights tensor info. Shape and Data Type: Same as @p input.
* @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). Must be in NCHW format.
* @param[in] data_layout The data layout the weights have been trained in.
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout);
// Inherited methods overriden:
void run() override;
private:
NEConvertFullyConnectedWeightsKernel _kernel;
};
}
#endif /* __ARM_COMPUTE_NECONVERTFULLYCONNECTEDWEIGHTS_H__ */
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