| /* |
| * Copyright (c) 2017-2019 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_CLDIRECTCONVOLUTIONLAYER_H |
| #define ARM_COMPUTE_CLDIRECTCONVOLUTIONLAYER_H |
| |
| #include "arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h" |
| #include "arm_compute/core/CL/kernels/CLFillBorderKernel.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/CL/functions/CLActivationLayer.h" |
| #include "arm_compute/runtime/IFunction.h" |
| |
| #include <memory> |
| |
| namespace arm_compute |
| { |
| class ICLTensor; |
| |
| /** Basic function to execute direct convolution function: |
| */ |
| class CLDirectConvolutionLayer : public IFunction |
| { |
| public: |
| /** Default constructor */ |
| CLDirectConvolutionLayer(); |
| /** 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: QASYMM8/F16/F32. |
| * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input. |
| * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. |
| * Data type supported: Should match @p input data type, except for input of QASYMM8 type where biases should be of S32 type. |
| * @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] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
| */ |
| void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info = ActivationLayerInfo()); |
| /** Static function to check if given info will lead to a valid configuration of @ref CLDirectConvolutionLayer |
| * |
| * @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: QASYMM8/F16/F32. |
| * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input. |
| * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported:Same as @p input. |
| * @param[in] 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] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, |
| const ActivationLayerInfo &act_info = ActivationLayerInfo()); |
| |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| CLDirectConvolutionLayerKernel _direct_conv_kernel; |
| CLFillBorderKernel _input_border_handler; |
| CLActivationLayer _activationlayer_function; |
| |
| bool _is_activationlayer_enabled; |
| }; |
| } |
| #endif /* ARM_COMPUTE_CLDIRECTCONVOLUTIONLAYER_H */ |