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/*
* Copyright (c) 2023-2024 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 ACL_ARM_COMPUTE_RUNTIME_NEON_FUNCTIONS_NEMATMUL_H
#define ACL_ARM_COMPUTE_RUNTIME_NEON_FUNCTIONS_NEMATMUL_H
#include "arm_compute/core/Types.h"
#include "arm_compute/function_info/ActivationLayerInfo.h"
#include "arm_compute/runtime/IFunction.h"
#include <memory>
namespace arm_compute
{
/** Settings for MatMul Cpu implementation*/
class CpuMatMulSettings
{
public:
// get fast math flag
bool fast_math() const
{
return _fast_math;
}
// get fixed format flag
bool fixed_format() const
{
return _fixed_format;
}
// Set fast math flag
CpuMatMulSettings &fast_math(bool fmath)
{
_fast_math = fmath;
return *this;
}
// Set fixed format flag
CpuMatMulSettings &fixed_format(bool fixed_format)
{
_fixed_format = fixed_format;
return *this;
}
private:
bool _fast_math{false};
bool _fixed_format{false};
};
// Forward declarations
class ITensor;
class ITensorInfo;
class MatMulInfo;
class Status;
/** Basic function to run the following operators:
*
* -# @ref cpu::CpuMatMul
*/
class NEMatMul : public IFunction
{
public:
/** Constructor */
NEMatMul();
/** Destructor */
~NEMatMul();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEMatMul(const NEMatMul &) = delete;
/** Default move constructor */
NEMatMul(NEMatMul &&) = default;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEMatMul &operator=(const NEMatMul &) = delete;
/** Default move assignment operator */
NEMatMul &operator=(NEMatMul &&) = default;
/** Initialize
*
* Valid data layouts:
* - Any
*
* Valid data type configurations:
* |lhs |rhs |dst |
* |:--------------|:------------------|:--------------|
* |F32 |F32 |F32 |
* |F16 |F16 |F16 |
* |BFLOAT16 |BFLOAT16 |BFLOAT16 |
* |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED |
* |QASYMM8 |QASYMM8 |QASYMM8 |
*
* @param[in] lhs Left-hand side tensor info. Data types supported: F16/F32/QASYMM8_SIGNED/QASYMM8.
* @param[in] rhs Right-hand side tensor info. Data types supported: same as @p lhs.
* @param[out] dst Output tensor to store the result of the batched matrix multiplication. Data types supported: same as @p lhs / @p rhs.
* @param[in] info Contains MatMul operation information described in @ref MatMulInfo.
* @param[in] settings Contains flags for function level settings i.e fast math
* @param[in] act_info (Optional) Contains activation function and lower and upper bound values for bounded activation functions.
*/
void configure(ITensor *lhs,
ITensor *rhs,
ITensor *dst,
const MatMulInfo &info,
const CpuMatMulSettings &settings,
const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref NEMatMul
*
* @param[in] lhs Left-hand side tensor info. Data types supported: F16/F32/QASYMM8_SIGNED/QASYMM8.
* @param[in] rhs Right-hand side tensor info. Data types supported: same as @p lhs.
* @param[out] dst Output tensor info to store the result of the batched matrix multiplication. Data types supported: same as @p lhs / @p rhs.
* @param[in] info Contains MatMul operation information described in @ref MatMulInfo.
* @param[in] settings Contains flags for function level settings i.e fast math
* @param[in] act_info (Optional) Contains activation function and lower and upper bound values for bounded activation functions.
*
* @return Status
*/
static Status validate(const ITensorInfo *lhs,
const ITensorInfo *rhs,
const ITensorInfo *dst,
const MatMulInfo &info,
const CpuMatMulSettings &settings,
const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden
void run() override;
private:
struct Impl;
std::unique_ptr<Impl> _impl;
};
} // namespace arm_compute
#endif // ACL_ARM_COMPUTE_RUNTIME_NEON_FUNCTIONS_NEMATMUL_H