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/*
* Copyright (c) 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_CPU_GEMM_DIRECT_CONV_2D_H
#define ARM_COMPUTE_CPU_GEMM_DIRECT_CONV_2D_H
#include "arm_compute/core/ITensorInfo.h"
#include "arm_compute/core/experimental/Types.h"
#include "arm_compute/runtime/Tensor.h"
#include "src/core/common/Macros.h"
#include "src/core/cpu/ICpuKernel.h"
#include "src/runtime/cpu/ICpuOperator.h"
#include <memory>
namespace arm_compute
{
// Forward declarations
class ITensor;
struct Conv2dInfo;
namespace cpu
{
class CpuGemmAssemblyDispatch;
class CpuActivation;
class CpuPermute;
class CpuGemmDirectConv2d : public ICpuOperator
{
public:
/** Constructor */
CpuGemmDirectConv2d(const std::shared_ptr<IMemoryManager> &memory_manager = nullptr);
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmDirectConv2d);
/** Destructor */
~CpuGemmDirectConv2d();
/** Set the input and output tensors.
*
* Valid data layouts:
* - All
*
* Valid data type configurations:
* |src0 |src1 |src2 |dst |
* |:--------------|:--------------|:--------------|:--------------|
* |QASYMM8 |QASYMM8 |S32 |QASYMM8 |
* |QASYMM8_SIGNED |QASYMM8_SIGNED |S32 |QASYMM8_SIGNED |
* |F16 |F16 |F16 |F16 |
* |F32 |F32 |F32 |F32 |
* |BFLOAT16 |BFLOAT16 |BFLOAT16 |BFLOAT16 |
*
* @param[in] src 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] dst 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.
*/
void configure(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *dst, const Conv2dInfo &info);
/** Static function to check if given info will lead to a valid configuration of @ref CpuGemmDirectConv2d
*
* Similar to CpuGemmDirectConv2d::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst, const Conv2dInfo &info);
// Inherited methods overridden:
void run(ITensorPack &tensors) override;
void prepare(ITensorPack &constants) override;
private:
std::unique_ptr<CpuGemmAssemblyDispatch> _gemm_asm_func;
std::unique_ptr<CpuActivation> _activation_func;
std::unique_ptr<CpuPermute> _weights_permute_func;
const ITensorInfo *_original_weights_info{};
TensorInfo _permuted_weights_info;
std::unique_ptr<Tensor> _permuted_weights{ nullptr };
bool _is_prepared{ false };
bool _run_activation{ false };
/** Function to allocated a tensor for permuted weights
*
* @note This function will be removed when memory injection is properly implemented.
*/
void allocate_permuted_weights();
};
} // namespace cpu
} // namespace arm_compute
#endif /* ARM_COMPUTE_CPU_GEMM_DIRECT_CONV_2D_H */
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