135 lines
6.0 KiB
C++
135 lines
6.0 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_CLCONVERTFULLYCONNECTEDWEIGHTS_H
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#define ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTS_H
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#include "arm_compute/core/CL/CLKernelLibrary.h"
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#include "arm_compute/runtime/CL/CLTensor.h"
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#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
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#include "arm_compute/runtime/ITransformWeights.h"
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namespace arm_compute
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{
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class CLCompileContext;
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class CLConvertFullyConnectedWeightsKernel;
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class ICLTensor;
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class ITensorInfo;
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/** Basic function to run @ref CLConvertFullyConnectedWeightsKernel. */
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class CLConvertFullyConnectedWeights : public ICLSimpleFunction
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{
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public:
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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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* @return A status
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*/
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void configure(const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout);
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/** Initialize the function.
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*
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* @param[in] compile_context The compile context to be used.
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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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* @return A status
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*/
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void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *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 CLConvertFullyConnectedWeights
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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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static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout);
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};
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namespace weights_transformations
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{
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/** Basic function to run @ref CLConvertFullyConnectedWeightsKernel. */
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class CLConvertFullyConnectedWeightsManaged : public ITransformWeights
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{
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public:
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//Inherited method override
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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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//Inherited method override
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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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//Inherited method override
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ICLTensor *get_weights() override
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{
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return &_output;
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}
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//Inherited method override
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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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/** Configures the @ref CLConvertFullyConnectedWeights function
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*
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* @param[in] input Source weights tensor info to convert. Data type supported: All.
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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 ICLTensor *input, const TensorShape &original_input_shape, DataLayout data_layout)
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{
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configure(CLKernelLibrary::get().get_compile_context(), input, original_input_shape, data_layout);
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}
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/** Configures the @ref CLConvertFullyConnectedWeights function
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in] input Source weights tensor info to convert. Data type supported: All.
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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 CLCompileContext &compile_context, const ICLTensor *input, const TensorShape &original_input_shape, DataLayout data_layout)
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{
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_func.configure(compile_context, 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 = 0x5;
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CLTensor _output{};
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CLConvertFullyConnectedWeights _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_CLCONVERTFULLYCONNECTEDWEIGHTS_H */
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