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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_NEDEPTHWISECONVOLUTIONASSEMBLYDISPATCH_H
#define ARM_COMPUTE_NEDEPTHWISECONVOLUTIONASSEMBLYDISPATCH_H
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/IMemoryManager.h"
#include "arm_compute/runtime/MemoryGroup.h"
#include "arm_compute/runtime/Tensor.h"
namespace arm_compute
{
/** Depthwise convolution assembly kernel glue */
class NEDepthwiseConvolutionAssemblyDispatch : public IFunction
{
public:
/** Default constructor
*
* @param[in,out] memory_manager Memory manager to use
*/
NEDepthwiseConvolutionAssemblyDispatch(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEDepthwiseConvolutionAssemblyDispatch(const NEDepthwiseConvolutionAssemblyDispatch &) = delete;
/** Default move constructor */
NEDepthwiseConvolutionAssemblyDispatch(NEDepthwiseConvolutionAssemblyDispatch &&) = default;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEDepthwiseConvolutionAssemblyDispatch &operator=(const NEDepthwiseConvolutionAssemblyDispatch &) = delete;
/** Default move assignment operator */
NEDepthwiseConvolutionAssemblyDispatch &operator=(NEDepthwiseConvolutionAssemblyDispatch &&) = default;
/** Default destructor */
~NEDepthwiseConvolutionAssemblyDispatch();
/** Initialize the function's source, destination, kernels and border_size.
*
* @note Supports only NHWC format
*
* @param[in] input Source tensor. Data type supported: QASYMM8/F16/F32. (Written to only for border filling).
* @param[in] weights Weights tensor. These are 3D tensors with shape [W, H, IFM]. Data type supported: Same as @p input.
* @param[in] bias (Optional) Biases tensor. A 1D tensor with shape [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] 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] act_info (Optional) Activation layer information in case of a fused activation.
* @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
*/
void configure(const ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output,
const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1, const ActivationLayerInfo &act_info = ActivationLayerInfo(),
const Size2D &dilation = Size2D(1, 1));
/** Static function to check if given info will lead to a valid configuration of @ref NEDepthwiseConvolutionAssemblyDispatch
*
* @note Supports only NHWC format
*
* @param[in] input Source tensor. Data type supported: QASYMM8/F16/F32. (Written to only for border filling).
* @param[in] weights Weights tensor. These are 3D tensors with shape [W, H, IFM]. Data type supported: Same as @p input.
* @param[in] bias (Optional) Biases tensor. A 1D tensor with shape [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] 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] act_info (Optional) Activation layer information in case of a fused activation.
* @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
*
* @return An error status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, const ITensorInfo *output,
const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1, const ActivationLayerInfo &act_info = ActivationLayerInfo(),
const Size2D &dilation = Size2D(1, 1));
/** Check if the optimized kernel can be used for the given kernel sizes and strides
*
* @warning Even if this return true the inputs and outputs might need to get permuted as the only layout supported is NHWC
*
* @param[in] input Input tensor info.
* @param[in] weights Weights tensor info.
* @param[in] conv_info Convolution layer metadata.
* @param[in] depth_multiplier (Optional) Depth multiplier to be used.
* @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
*
* @return True if the assembly kernel could be used else false. Note that transformations of input/output could be needed.
*/
static bool is_optimized_supported(const ITensorInfo *input, const ITensorInfo *weights, PadStrideInfo conv_info, unsigned int depth_multiplier = 1, const Size2D &dilation = Size2D(1, 1));
// Inherited methods overridden:
void run() override;
void prepare() override;
private:
struct LocalImpl;
private:
MemoryGroup _memory_group;
const ITensor *_input;
const ITensor *_weights;
const ITensor *_bias;
ITensor *_output;
Tensor _packed_weights;
Tensor _workspace;
bool _is_prepared;
std::unique_ptr<LocalImpl> _pImpl;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_NEDEPTHWISECONVOLUTIONASSEMBLYDISPATCH_H */
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