122 lines
5.0 KiB
C++
122 lines
5.0 KiB
C++
/*
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* Copyright (c) 2018-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_NECONVERTFULLYCONNECTEDWEIGHTS_H
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#define ARM_COMPUTE_NECONVERTFULLYCONNECTEDWEIGHTS_H
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#include "arm_compute/runtime/IFunction.h"
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#include "arm_compute/runtime/ITransformWeights.h"
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#include "arm_compute/runtime/NEON/NEScheduler.h"
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#include "arm_compute/runtime/Tensor.h"
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#include <memory>
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namespace arm_compute
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{
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// Forward declarations
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class ITensor;
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class NEConvertFullyConnectedWeightsKernel;
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/** Basic function to run @ref NEConvertFullyConnectedWeightsKernel. */
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class NEConvertFullyConnectedWeights : public IFunction
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{
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public:
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/** Default constructor */
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NEConvertFullyConnectedWeights();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEConvertFullyConnectedWeights(const NEConvertFullyConnectedWeights &) = delete;
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEConvertFullyConnectedWeights &operator=(const NEConvertFullyConnectedWeights &) = delete;
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/** Prevent instances of this class from being moved (As this class contains non movable objects) */
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NEConvertFullyConnectedWeights(NEConvertFullyConnectedWeights &&) = delete;
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/** Prevent instances of this class from being moved (As this class contains non movable objects) */
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NEConvertFullyConnectedWeights &operator=(NEConvertFullyConnectedWeights &&) = delete;
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/** Default destructor */
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~NEConvertFullyConnectedWeights();
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/** Initialize the function.
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*
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* @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: All.
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* @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input.
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* @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer).
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* @param[in] data_layout The data layout the weights have been trained in.
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*/
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void configure(const ITensor *input, ITensor *output, const TensorShape &original_input_shape, DataLayout data_layout);
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/** Static function to check if given info will lead to a valid configuration of @ref NEConvertFullyConnectedWeights
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*
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* @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All.
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* @param[in] output The converted weights tensor info. Shape and Data Type: Same as @p input.
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* @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer).
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* @param[in] data_layout The data layout the weights have been trained in.
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*
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* @return A Status
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout);
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// Inherited methods overriden:
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void run() override;
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private:
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std::unique_ptr<NEConvertFullyConnectedWeightsKernel> _kernel;
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};
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namespace weights_transformations
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{
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/** Basic function to run @ref NEConvertFullyConnectedWeightsKernel. */
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class NEConvertFullyConnectedWeightsManaged : public ITransformWeights
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{
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public:
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void run() override
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{
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_output.allocator()->allocate();
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_func.run();
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_reshape_run = true;
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}
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void release() override
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{
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_output.allocator()->free();
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}
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ITensor *get_weights() override
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{
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return &_output;
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}
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uint32_t uid() override
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{
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return _uid;
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}
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void configure(const ITensor *input, const TensorShape &original_input_shape, DataLayout data_layout)
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{
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_func.configure(input, &_output, original_input_shape, data_layout);
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}
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private:
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static constexpr uint32_t _uid = 0x4;
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Tensor _output{};
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NEConvertFullyConnectedWeights _func{};
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};
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} // namespace weights_transformations
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_NECONVERTFULLYCONNECTEDWEIGHTS_H */
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