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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_GPU_CL_OPERATORS_CLMATMUL_H
#define ACL_SRC_GPU_CL_OPERATORS_CLMATMUL_H
#include "arm_compute/function_info/ActivationLayerInfo.h"
#include "arm_compute/function_info/MatMulInfo.h"
#include "src/gpu/cl/IClKernel.h"
#include "src/gpu/cl/IClOperator.h"
#include <memory>
namespace arm_compute
{
namespace opencl
{
/** Basic operator to execute BatchMatMul on OpenCL. This operator calls the following OpenCL kernels:
*
* -# @ref kernels::ClMatMulNativeKernel
*/
class ClMatMul : public IClOperator
{
public:
/** Constructor */
ClMatMul();
/** Default destructor */
~ClMatMul() = default;
/** Initialise the kernel's inputs and output
*
* Valid data layouts:
* - All
*
* Valid data type configurations:
* |lhs |rhs |dst |
* |:--------------|:--------------|:--------------|
* |F32 |F32 |F32 |
* |F16 |F16 |F16 |
* |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED |
* |QASYMM8 |QASYMM8 |QASYMM8 |
*
* @note BatchMatMul: Batched Matrix Multiply - [A * B], Multiplies all slices (slice is an element of a batch) of Tensors A and B
* and stores the result in the dst tensor of the same batch size.
* Batch here is number of slices from A and B multiplied at a time, do not confuse with the batch dimension 'N' of NHWC/NCHW
* For NHWC for example: the batch is the higher dimensions H * N, and in general it is H * all higher dimensions.
* @note All tensors must have the same data type.
*
* @param[in] compile_context The compile context to be used.
* @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.
* @param[in] matmul_info Contains MatMul operation information described in @ref MatMulInfo.
* @param[in] act_info Class containing information about fused activation function.
*/
void configure(const CLCompileContext &compile_context,
ITensorInfo *lhs,
ITensorInfo *rhs,
ITensorInfo *dst,
const MatMulInfo &matmul_info,
const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration
*
* Similar to @ref ClMatMul::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *lhs,
const ITensorInfo *rhs,
const ITensorInfo *dst,
const MatMulInfo &matmul_info,
const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
void run(ITensorPack &tensors) override;
private:
std::unique_ptr<opencl::IClKernel> _matmul_kernel{nullptr};
};
} // namespace opencl
} // namespace arm_compute
#endif // ACL_SRC_GPU_CL_OPERATORS_CLMATMUL_H