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Diffstat (limited to 'compute/ARMComputeEx/arm_compute/runtime/CL/functions/CLTransposeConvLayer.h')
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diff --git a/compute/ARMComputeEx/arm_compute/runtime/CL/functions/CLTransposeConvLayer.h b/compute/ARMComputeEx/arm_compute/runtime/CL/functions/CLTransposeConvLayer.h new file mode 100644 index 000000000..5fb102e47 --- /dev/null +++ b/compute/ARMComputeEx/arm_compute/runtime/CL/functions/CLTransposeConvLayer.h @@ -0,0 +1,150 @@ +/* + * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/* + * Copyright (c) 2017-2020 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_CLTRANSPOSECONVLAYER_H__ +#define __ARM_COMPUTE_CLTRANSPOSECONVLAYER_H__ + +#include "arm_compute/runtime/CL/functions/CLDirectTransposeConvLayer.h" +#include "arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h" +#include "arm_compute/runtime/IFunction.h" +#include "arm_compute/runtime/IMemoryManager.h" + +#include <memory> + +namespace arm_compute +{ +/** Basic function to compute the deconvolution layer. This function calls the following OpenCL + * kernels/functions: + * + * -# @ref CLGEMMDeconvolutionLayer + * -# @ref CLDirectTransposeConvLayer + */ +class CLTransposeConvLayer : public IFunction +{ +public: + /** Default constructor */ + CLTransposeConvLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); + + /** Set the input, weights, biases and output tensors. + * + * @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. + * @param[in] weights The 4d weights with dimensions [width, height, IFM, OFM]. Data type + * supported: Same as @p input. + * @param[in] bias (Optional) The biases have one dimension. Data type supported: Same + * as @p input. + * @param[out] output Output tensor. The output has the same number of dimensions as the + * @p input. + * @param[in] deconv_info Contains padding and policies to be used in the deconvolution, this + * is described in @ref PadStrideInfo. + * @param[in] invalid_right The number of zeros added to right edge of the output. + * @param[in] invalid_bottom The number of zeros added to bottom edge of the output. + * @param[in] weights_info (Optional) Weights information needed for @ref CLConvolutionLayer, + * specifies if the weights tensor has been reshaped with @ref CLWeightsReshapeKernel. + * + */ + void configure(ICLTensor *input, ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, + const PadStrideInfo &deconv_info, unsigned int invalid_right, + unsigned int invalid_bottom, const WeightsInfo &weights_info = WeightsInfo()); + /** Set the input, weights, biases and output tensors. + * + * @param[in] compile_context The compile context to be used. + * @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. + * @param[in] weights The 4d weights with dimensions [width, height, IFM, OFM]. Data + * type supported: Same as @p input. + * @param[in] bias (Optional) The biases have one dimension. Data type supported: + * Same as @p input. + * @param[out] output Output tensor. The output has the same number of dimensions as + * the @p input. + * @param[in] deconv_info Contains padding and policies to be used in the deconvolution, + * this is described in @ref PadStrideInfo. + * @param[in] invalid_right The number of zeros added to right edge of the output. + * @param[in] invalid_bottom The number of zeros added to bottom edge of the output. + * @param[in] weights_info (Optional) Weights information needed for @ref + * CLConvolutionLayer, specifies if the weights tensor has been reshaped with @ref + * CLWeightsReshapeKernel. + * + */ + void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *weights, + const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &deconv_info, + unsigned int invalid_right, unsigned int invalid_bottom, + const WeightsInfo &weights_info = WeightsInfo()); + /** Static function to check if given info will lead to a valid configuration of @ref + * CLTransposeConvLayer + * + * @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. + * @param[in] weights The 4d weights info with dimensions [width, height, IFM, OFM]. Data + * type supported: Same as @p input. + * @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as + * @p input. + * @param[in] output Output tensor info. The output has the same number of dimensions as the + * @p input. + * @param[in] deconv_info Contains padding and policies to be used in the deconvolution, this is + * described in @ref PadStrideInfo. + * @param[in] invalid_right The number of zeros added to right edge of the output. + * @param[in] invalid_bottom The number of zeros added to bottom edge of the output. + * @param[in] weights_info (Optional) Weights information needed for @ref CLConvolutionLayer, + * specifies if the weights tensor has been reshaped with @ref CLWeightsReshapeKernel. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, + const ITensorInfo *bias, ITensorInfo *output, + const PadStrideInfo &deconv_info, unsigned int invalid_right, + unsigned int invalid_bottom, + const WeightsInfo &weights_info = WeightsInfo()); + + static DeconvolutionMethod + get_deconvolution_method(const ITensorInfo *input, const ITensorInfo *weights, + const ITensorInfo *bias, ITensorInfo *output, + const PadStrideInfo &deconv_info, unsigned int invalid_right, + unsigned int invalid_bottom, const WeightsInfo &weights_info); + // Inherited methods overridden: + void run() override; + void prepare() override; + +private: + std::shared_ptr<IMemoryManager> _memory_manager; + std::unique_ptr<IFunction> _function; +}; +} // namespace arm_compute +#endif /* __ARM_COMPUTE_CLTRANSPOSECONVLAYER_H__ */ |