1 /* 2 * Copyright (c) 2017-2020 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24 #ifndef ARM_COMPUTE_CLDECONVOLUTIONLAYER_H 25 #define ARM_COMPUTE_CLDECONVOLUTIONLAYER_H 26 27 #include "arm_compute/runtime/CL/functions/CLDirectDeconvolutionLayer.h" 28 #include "arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h" 29 #include "arm_compute/runtime/IFunction.h" 30 #include "arm_compute/runtime/IMemoryManager.h" 31 32 #include <memory> 33 34 namespace arm_compute 35 { 36 /** Basic function to compute the deconvolution layer. This function calls the following OpenCL kernels/functions: 37 * 38 * -# @ref CLGEMMDeconvolutionLayer 39 * -# @ref CLDirectDeconvolutionLayer 40 */ 41 class CLDeconvolutionLayer : public IFunction 42 { 43 public: 44 /** Default constructor */ 45 CLDeconvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); 46 47 /** Set the input, weights, biases and output tensors. 48 * 49 * @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. 50 * @param[in] weights The 4d weights with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input. 51 * @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input. 52 * @param[out] output Output tensor. The output has the same number of dimensions as the @p input. 53 * @param[in] deconv_info Contains padding and policies to be used in the deconvolution, this is described in @ref PadStrideInfo. 54 * @param[in] weights_info (Optional) Weights information needed for @ref CLConvolutionLayer, specifies if the weights tensor has been reshaped with @ref CLWeightsReshapeKernel. 55 * 56 */ 57 void configure(ICLTensor *input, ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &deconv_info, const WeightsInfo &weights_info = WeightsInfo()); 58 /** Set the input, weights, biases and output tensors. 59 * 60 * @param[in] compile_context The compile context to be used. 61 * @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. 62 * @param[in] weights The 4d weights with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input. 63 * @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input. 64 * @param[out] output Output tensor. The output has the same number of dimensions as the @p input. 65 * @param[in] deconv_info Contains padding and policies to be used in the deconvolution, this is described in @ref PadStrideInfo. 66 * @param[in] weights_info (Optional) Weights information needed for @ref CLConvolutionLayer, specifies if the weights tensor has been reshaped with @ref CLWeightsReshapeKernel. 67 * 68 */ 69 void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &deconv_info, 70 const WeightsInfo &weights_info = WeightsInfo()); 71 /** Static function to check if given info will lead to a valid configuration of @ref CLDeconvolutionLayer 72 * 73 * @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. 74 * @param[in] weights The 4d weights info with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input. 75 * @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input. 76 * @param[in] output Output tensor info. The output has the same number of dimensions as the @p input. 77 * @param[in] deconv_info Contains padding and policies to be used in the deconvolution, this is described in @ref PadStrideInfo. 78 * @param[in] weights_info (Optional) Weights information needed for @ref CLConvolutionLayer, specifies if the weights tensor has been reshaped with @ref CLWeightsReshapeKernel. 79 * 80 * @return a status 81 */ 82 static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, ITensorInfo *output, const PadStrideInfo &deconv_info, 83 const WeightsInfo &weights_info = WeightsInfo()); 84 85 static DeconvolutionMethod get_deconvolution_method(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, ITensorInfo *output, const PadStrideInfo &deconv_info, 86 const WeightsInfo &weights_info); 87 // Inherited methods overridden: 88 void run() override; 89 void prepare() override; 90 91 private: 92 std::shared_ptr<IMemoryManager> _memory_manager; 93 std::unique_ptr<IFunction> _function; 94 }; 95 } // namespace arm_compute 96 #endif /* ARM_COMPUTE_CLDECONVOLUTIONLAYER_H */ 97