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/*
* Copyright (c) 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_CLDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H__
#define __ARM_COMPUTE_CLDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H__
#include "arm_compute/core/CL/ICLKernel.h"
#include "arm_compute/core/KernelDescriptors.h"
namespace arm_compute
{
class ICLTensor;
/** Interface for the kernel to run a MxN depthwise convolution. M and N are respectively the rows and columns of the filter
This kernel assumes that tensor for the weights is NOT reshaped (Native version) */
class CLDepthwiseConvolutionLayerNativeKernel : public ICLKernel
{
public:
/** Default Constructor */
CLDepthwiseConvolutionLayerNativeKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLDepthwiseConvolutionLayerNativeKernel(const CLDepthwiseConvolutionLayerNativeKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLDepthwiseConvolutionLayerNativeKernel &operator=(const CLDepthwiseConvolutionLayerNativeKernel &) = delete;
/** Allow instances of this class to be moved */
CLDepthwiseConvolutionLayerNativeKernel(CLDepthwiseConvolutionLayerNativeKernel &&) = default;
/** Allow instances of this class to be moved */
CLDepthwiseConvolutionLayerNativeKernel &operator=(CLDepthwiseConvolutionLayerNativeKernel &&) = default;
/** Initialize the function's source, destination and parameters
*
* @param[in] input Source tensor. Data type supported: FP32/FP16. Data layout supported: NHWC
* @param[in] weights Weights tensor. A 3D tensor with dimensions [IFM, N, M]. Data type supported: Same as @p input.
* @param[in] biases Biases tensor. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed.
* Data type supported: Same as @p input.
* @param[out] output Destination tensor. Data type supported: Same as @p input.
* @param[in] dwc_weights_info Depthwise convolution layer weights info to retrieve the number of output elements processed by each thread
* @param[in] dwc_info Depthwise convolution layer info
* @param[in] conv_info Padding and stride information to use for the convolution.
* @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1.
* @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
*/
void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const DWCWeightsKernelInfo &dwc_weights_info, const DWCKernelInfo &dwc_info,
const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1, const Size2D &dilation = Size2D(1U, 1U));
/** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseConvolutionLayerNativeKernel
*
* @param[in] input Source tensor info. Data type supported: FP32/FP16. Data layout supported: NHWC
* @param[in] weights Weights tensor info. A 3D tensor with dimensions [IFM, N, M]. Data type supported: Same as @p input.
* @param[in] biases Biases tensor info. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed.
* Data type supported: Same as @p input.
* @param[in] output Destination tensor info. Data type supported: Same as @p input.
* @param[in] dwc_weights_info Depthwise convolution layer weights info to retrieve the number of output elements processed by each thread
* @param[in] dwc_info Depthwise convolution layer info
* @param[in] conv_info Padding and stride information to use for the convolution.
* @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1.
* @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const DWCWeightsKernelInfo &dwc_weights_info,
const DWCKernelInfo &dwc_info, const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1, const Size2D &dilation = Size2D(1U, 1U));
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
private:
const ICLTensor *_input;
const ICLTensor *_weights;
const ICLTensor *_biases;
ICLTensor *_output;
unsigned int _depth_multiplier;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_CLDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H__ */
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