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-/*
- * 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_GCDIRECTCONVOLUTIONLAYER_H
-#define ARM_COMPUTE_GCDIRECTCONVOLUTIONLAYER_H
-
-#include "arm_compute/core/GLES_COMPUTE/IGCKernel.h"
-#include "arm_compute/core/GLES_COMPUTE/kernels/GCDirectConvolutionLayerKernel.h"
-#include "arm_compute/core/GLES_COMPUTE/kernels/GCFillBorderKernel.h"
-#include "arm_compute/core/GLES_COMPUTE/kernels/GCTensorShiftKernel.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/GLES_COMPUTE/functions/GCActivationLayer.h"
-#include "arm_compute/runtime/IFunction.h"
-
-#include <memory>
-
-namespace arm_compute
-{
-class IGCTensor;
-
-/** Basic function to execute direct convolution function. This function calls the following kernels:
- *
- * -# @ref GCDirectConvolutionLayerKernel
- * -# @ref GCFillBorderKernel
- * -# @ref GCTensorShiftKernel
- *
- * @note Supported kernel size: 1x1, 3x3, and 5x5
- * @note This OpenGL ES implementation works with stride_x = 1 and 2
- */
-class GCDirectConvolutionLayer : public IFunction
-{
-public:
- /** Default constructor */
- GCDirectConvolutionLayer();
- /** Set the input and output tensors.
- *
- * @param[in,out] 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: F16/F32.
- * input will be written to only if it is currently left aligned.
- * @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[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(IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, const PadStrideInfo &conv_info,
- const ActivationLayerInfo &act_info = ActivationLayerInfo());
-
- // Inherited methods overridden:
- void run() override final;
-
-private:
- std::unique_ptr<IGCKernel> _kernel;
- GCFillBorderKernel _border_handler;
- GCTensorShiftKernel _shift_handler;
-};
-}
-#endif /* ARM_COMPUTE_GCDIRECTCONVOLUTIONLAYER_H */