97 lines
6.0 KiB
C++
97 lines
6.0 KiB
C++
/*
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* Copyright (c) 2017-2020 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_CLDECONVOLUTIONLAYER_H
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#define ARM_COMPUTE_CLDECONVOLUTIONLAYER_H
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#include "arm_compute/runtime/CL/functions/CLDirectDeconvolutionLayer.h"
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#include "arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h"
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#include "arm_compute/runtime/IFunction.h"
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#include "arm_compute/runtime/IMemoryManager.h"
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#include <memory>
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namespace arm_compute
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{
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/** Basic function to compute the deconvolution layer. This function calls the following OpenCL kernels/functions:
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*
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* -# @ref CLGEMMDeconvolutionLayer
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* -# @ref CLDirectDeconvolutionLayer
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*/
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class CLDeconvolutionLayer : public IFunction
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{
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public:
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/** Default constructor */
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CLDeconvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
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/** Set the input, weights, biases and output tensors.
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*
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* @param[in,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: QASYMM8_SIGNED/QASYMM8/F16/F32.
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* @param[in] weights The 4d weights with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input.
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* @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input.
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* @param[out] output Output tensor. The output has the same number of dimensions as the @p input.
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* @param[in] deconv_info Contains padding and policies to be used in the deconvolution, this is described in @ref PadStrideInfo.
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* @param[in] weights_info (Optional) Weights information needed for @ref CLConvolutionLayer, specifies if the weights tensor has been reshaped with @ref CLWeightsReshapeKernel.
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*
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*/
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void configure(ICLTensor *input, ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &deconv_info, const WeightsInfo &weights_info = WeightsInfo());
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/** Set the input, weights, biases and output tensors.
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: QASYMM8_SIGNED/QASYMM8/F16/F32.
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* @param[in] weights The 4d weights with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input.
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* @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input.
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* @param[out] output Output tensor. The output has the same number of dimensions as the @p input.
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* @param[in] deconv_info Contains padding and policies to be used in the deconvolution, this is described in @ref PadStrideInfo.
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* @param[in] weights_info (Optional) Weights information needed for @ref CLConvolutionLayer, specifies if the weights tensor has been reshaped with @ref CLWeightsReshapeKernel.
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*
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*/
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void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &deconv_info,
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const WeightsInfo &weights_info = WeightsInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref CLDeconvolutionLayer
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*
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* @param[in] input Input tensor info. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: QASYMM8_SIGNED/QASYMM8/F16/F32.
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* @param[in] weights The 4d weights info with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input.
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* @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input.
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* @param[in] output Output tensor info. The output has the same number of dimensions as the @p input.
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* @param[in] deconv_info Contains padding and policies to be used in the deconvolution, this is described in @ref PadStrideInfo.
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* @param[in] weights_info (Optional) Weights information needed for @ref CLConvolutionLayer, specifies if the weights tensor has been reshaped with @ref CLWeightsReshapeKernel.
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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 *weights, const ITensorInfo *bias, ITensorInfo *output, const PadStrideInfo &deconv_info,
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const WeightsInfo &weights_info = WeightsInfo());
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static DeconvolutionMethod get_deconvolution_method(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, ITensorInfo *output, const PadStrideInfo &deconv_info,
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const WeightsInfo &weights_info);
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// Inherited methods overridden:
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void run() override;
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void prepare() override;
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private:
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std::shared_ptr<IMemoryManager> _memory_manager;
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std::unique_ptr<IFunction> _function;
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};
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_CLDECONVOLUTIONLAYER_H */
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