/* * Copyright (c) 2017-2018 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_CL_DEPTHWISE_SEPARABLE_CONVOLUTION_H__ #define __ARM_COMPUTE_CL_DEPTHWISE_SEPARABLE_CONVOLUTION_H__ #include "arm_compute/core/Types.h" #include "arm_compute/runtime/CL/CLTensor.h" #include "arm_compute/runtime/CL/ICLSimpleFunction.h" #include "arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h" #include "arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h" #include "arm_compute/runtime/IFunction.h" #include namespace arm_compute { class ICLTensor; /** Basic function to execute depthwise convolution. This function calls the following OpenCL kernels and function: * * -# @ref CLDepthwiseConvolutionLayer * -# @ref CLDirectConvolutionLayer * */ class CLDepthwiseSeparableConvolutionLayer : public IFunction { public: /** Default constructor */ CLDepthwiseSeparableConvolutionLayer(); /** Set the input and output tensors. * * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: F32. * @param[in] depthwise_weights Depthwise convolution weights tensor. These are 3D tensors with dimensions [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. * @param[in] depthwise_biases (Optional) Biases tensor.Biases are 1D tensor with dimensions [IFM]. Must be nullptr if not needed. * Data type supported: Same as @p weights. * @param[out] depthwise_out Depthwise destination tensor. * @param[in] pointwise_weights Pointwise convolution weights tensor. These are 4D tensors with dimensions [1, 1, IFM, OFM]. Data type supported: Same as @p input. * @param[in] pointwise_biases (Optional) Biases tensor. Biases are 1D tensor with dimensions [OFM]. Must be nullptr if not needed. * Data type supported: Same as @p weights. * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. * Data types supported: Same as @p input. * @param[in] depthwise_conv_info Contains padding and stride information described in @ref PadStrideInfo for depthwise convolution. * @param[in] pointwise_conv_info Contains padding and stride information described in @ref PadStrideInfo for pointwise convolution. */ void configure(ICLTensor *input, const ICLTensor *depthwise_weights, const ICLTensor *depthwise_biases, ICLTensor *depthwise_out, const ICLTensor *pointwise_weights, const ICLTensor *pointwise_biases, ICLTensor *output, const PadStrideInfo &depthwise_conv_info, const PadStrideInfo &pointwise_conv_info); // Inherited methods overriden: void run() override; void prepare() override; private: CLDepthwiseConvolutionLayer _depthwise_conv; CLDirectConvolutionLayer _pointwise_conv; }; } #endif /*__ARM_COMPUTE_CL_DEPTHWISE_SEPARABLE_CONVOLUTION_H__ */