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/*
* Copyright (c) 2023 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_SRC_RUNTIME_HEURISTICS_MATMUL_NATIVE_CLMATMULNATIVEHELPERS_H
#define ACL_SRC_RUNTIME_HEURISTICS_MATMUL_NATIVE_CLMATMULNATIVEHELPERS_H
#include "arm_compute/core/Types.h"
namespace arm_compute
{
// Forward declaration
struct MatMulKernelInfo;
namespace cl_matmul
{
using MatMulNativeConfigsMatrix = std::vector<std::vector<int32_t>>;
/** This function accepts two MatMulKernelInfo objects where only the first can be with cl_image2d support enabled.
* The aim of this function is to check whether the first MatMulKernelInfo object is valid. If not, the function will
* return the second MatMulKernelInfo object. Otherwise, the first one.
*
* @param[in] info0 MatMulKernelInfo with cl_image2d support
* @param[in] info1 MatMulKernelInfo to fall-back if cl_image2d cannot be used
* @param[in] m Number of rows (M) of the LHS matrix
* @param[in] n Number of columns (N) in the RHS matrix not reshaped
* @param[in] k Number of rows (K) in the RHS matrix not reshaped
* @param[in] b Batch size
* @param[in] data_type Data type
* @param[in] rhs_lock_padding Flag used to know whether the RHS paddings are locked
*
* @return @ref MatMulKernelInfo
*/
MatMulKernelInfo select_info(const MatMulKernelInfo &info0,
const MatMulKernelInfo &info1,
unsigned int m,
unsigned int n,
unsigned int k,
unsigned int b,
DataType data_type,
bool rhs_lock_padding);
/** Find the preferred configurations for the MatMul Native kernel using the MatMulNativeConfigsMatrix provided by the user
*
* @param[in] configs List of best configurations for a limited number of MatMul shapes
* @param[in] adj_lhs Adjoint LHS flag value
* @param[in] adj_rhs Adjoint RHS flag value
* @param[in] m Number of rows (M) of the LHS matrix
* @param[in] n Number of columns (N) in the RHS matrix not reshaped
* @param[in] k Number of rows (K) in the RHS matrix not reshaped
* @param[in] b Batch size
*
* @return @ref MatMulKernelInfo
*/
MatMulKernelInfo find_info(const MatMulNativeConfigsMatrix &configs,
bool adj_lhs,
bool adj_rhs,
unsigned int m,
unsigned int n,
unsigned int k,
unsigned int b);
} // namespace cl_matmul
} // namespace arm_compute
#endif // ACL_SRC_RUNTIME_HEURISTICS_MATMUL_NATIVE_CLMATMULNATIVEHELPERS_H
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