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/*
* Copyright (c) 2018-2021 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 SRC_NEGEMMASSEMBLYDISPATCH_H
#define SRC_NEGEMMASSEMBLYDISPATCH_H
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/IMemoryManager.h"
#include "arm_compute/runtime/IWeightsManager.h"
#include "arm_compute/runtime/MemoryGroup.h"
#include "arm_compute/runtime/Tensor.h"
namespace arm_compute
{
namespace cpu
{
/* Convolution method supported by the assembly gemm interface */
enum class AsmConvMethod
{
Im2Col,
Indirect,
Conv
};
struct AsmGemmInfo
{
AsmConvMethod method{ AsmConvMethod::Im2Col };
PadStrideInfo ps_info{};
ActivationLayerInfo activation_info{};
GEMMLowpOutputStageInfo output_stage{};
bool negated_offsets{ true };
bool reinterpret_input_as_3d{ false };
bool depth_output_gemm3d{ false };
int64_t padding_top{ 0 };
int64_t padding_left{ 0 };
float padding_value{ 0.f };
};
/** Assembly kernel glue */
class CpuGemmAssemblyDispatch : public IFunction
{
public:
/** Constructor */
CpuGemmAssemblyDispatch(std::shared_ptr<IMemoryManager> memory_manager = nullptr, IWeightsManager *weights_manager = nullptr);
/** Prevent instances of this class from being copy constructed */
CpuGemmAssemblyDispatch(const CpuGemmAssemblyDispatch &) = delete;
/** Prevent instances of this class from being copied */
CpuGemmAssemblyDispatch &operator=(const CpuGemmAssemblyDispatch &) = delete;
/** Default move constructor */
CpuGemmAssemblyDispatch(CpuGemmAssemblyDispatch &&) = default;
/** Default move assignment operator */
CpuGemmAssemblyDispatch &operator=(CpuGemmAssemblyDispatch &&) = default;
/** Defautl destructor */
~CpuGemmAssemblyDispatch() = default;
class IFallback
{
public:
virtual void run() = 0;
virtual void prepare() = 0;
virtual bool is_configured() const = 0;
virtual ~IFallback() = default;
};
public:
/** If supported create a Compute Library function else fallback to the arm_gemm function.
*
* @param[in] a Input tensor (Matrix A)
* @param[in] b Input tensor (Matrix B)
* @param[in] c Input tensor (Matrix C) used to pass the bias for quantized calculations
* @param[out] d Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0.
* @param[in] info GEMM meta-data
*/
void configure(const ITensor *a, const ITensor *b, const ITensor *c, ITensor *d, const AsmGemmInfo &info);
/** Indicates whether or not this function can be used to process the given parameters.
*
* @param[in] a Input tensor info (Matrix A)
* @param[in] b Input tensor info (Matrix B)
* @param[in] c Input tensor info (Matrix C) used to pass the bias for quantized calculations
* @param[in] d Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0.
* @param[in] info GEMM meta-data
*
* @return a status.
*/
static Status validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *c, const ITensorInfo *d, const AsmGemmInfo &info);
/** Checks if activation is supported by the gemm assembly dispatcher
*
* @param[in] activation Activation to check
*
* @return True if activation is supported else false
*/
static bool is_activation_supported(const ActivationLayerInfo &activation);
/** Was the function successfully configured ?
*
* @return True if the function is configured and ready to run
*/
bool is_configured() const;
// Inherited methods overridden:
void prepare() override;
void run() override;
private:
std::unique_ptr<IFallback> _arm_gemm; /**< Interface for the arm_gemm fallback */
MemoryGroup _memory_group; /**< Function memory group */
IWeightsManager *_weights_manager; /**< Pointer to the weights manager */
};
} // namespace cpu
} // namespace arm_compute
#endif /* SRC_NEGEMMASSEMBLYDISPATCH_H */
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