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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_NEON_DEPTHWISE_SEPARABLE_CONVOLUTION_H__
#define __ARM_COMPUTE_NEON_DEPTHWISE_SEPARABLE_CONVOLUTION_H__
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h"
#include "arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h"
#include "arm_compute/runtime/Tensor.h"
#include <cstdint>
namespace arm_compute
{
class ITensor;
/** Basic function to execute depthwise convolution. This function calls the following NEON kernels and function:
*
* -# @ref NEDepthwiseConvolutionLayer
* -# @ref NEDirectConvolutionLayer
*
* @deprecated This function is deprecated and will be removed in release 19.11
*
*/
class NEDepthwiseSeparableConvolutionLayer : public IFunction
{
public:
/** Default constructor */
NEDepthwiseSeparableConvolutionLayer();
/** 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(ITensor *input, const ITensor *depthwise_weights, const ITensor *depthwise_biases, ITensor *depthwise_out,
const ITensor *pointwise_weights, const ITensor *pointwise_biases, ITensor *output,
const PadStrideInfo &depthwise_conv_info, const PadStrideInfo &pointwise_conv_info);
// Inherited methods overriden:
void run() override;
void prepare() override;
private:
NEDepthwiseConvolutionLayer _depthwise_conv;
NEDirectConvolutionLayer _pointwise_conv;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_NEON_DEPTHWISE_SEPARABLE_CONVOLUTION_H__ */