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/*
* Copyright (c) 2020-2021 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_NEGEMMCONV2D_H
#define ARM_COMPUTE_NEGEMMCONV2D_H
#include "arm_compute/runtime/FunctionDescriptors.h"
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/IMemoryManager.h"
#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h"
#include "arm_compute/runtime/NEON/functions/NEPermute.h"
#include "arm_compute/runtime/Tensor.h"
#include <memory>
namespace arm_compute
{
// Forward declarations
class ITensor;
class NEGEMMAssemblyDispatch;
/** Basic function to compute the convolution layer. This function calls the following Neon kernels/functions:
*
* Supports only NHWC data layout
*
* -# @ref NEGEMMAssemblyDispatch
* -# @ref NEActivationLayer, in case activation cannot be fused in the assembly dispatch
*
* Weights are transformed from OHWI to HWIO format using the following kernels:
* -# @ref NEPermute
*/
class NEGEMMConv2d : public IFunction
{
public:
/** Constructor */
NEGEMMConv2d(const std::shared_ptr<IMemoryManager> &memory_manager = nullptr);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEGEMMConv2d(const NEGEMMConv2d &) = delete;
/** Default move constructor */
NEGEMMConv2d(NEGEMMConv2d &&) = default;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEGEMMConv2d &operator=(const NEGEMMConv2d &) = delete;
/** Default move assignment operator */
NEGEMMConv2d &operator=(NEGEMMConv2d &&) = default;
/** Destructor */
~NEGEMMConv2d();
/** 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/QASYMM8_SIGNED/BFLOAT16/F16/F32.
* @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
* Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/BFLOAT16/F16/F32.
* @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/QASYMM8_SIGNED 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] info Convolution layer descriptor
*/
void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const Conv2dInfo &info);
/** Static function to check if given info will lead to a valid configuration of @ref NEGEMMConv2d
*
* @param[in] input Source tensor info. 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/QASYMM8_SIGNED/BFLOAT16/F16/F32.
* @param[in] weights Weights tensor info. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
* Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/BFLOAT16/F16/F32.
* @param[in] biases Biases tensor info. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
* Data type supported: Should match @p input data type, except for input of QASYMM8/QASYMM8_SIGNED type where biases should be of S32 type.
* @param[in] output Destination tensor info. 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] info Contains padding and stride information described in @ref PadStrideInfo.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const Conv2dInfo &info);
// Inherited methods overridden:
void run() override;
void prepare() override;
private:
std::unique_ptr<NEGEMMAssemblyDispatch> _gemm_asm_func;
NEActivationLayer _activation_func;
NEPermute _weights_permute_func;
const ITensor *_original_weights;
Tensor _permuted_weights;
bool _is_prepared;
bool _run_activation;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_NEGEMMCONV2D_H */
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