blob: 4528b25245703f84eef5d11597af273368c722c0 [file] [log] [blame]
/*
* 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.
*/
#if defined(__aarch64__)
#ifndef ACL_SRC_CORE_NEON_KERNELS_NEREORDERKERNEL
#define ACL_SRC_CORE_NEON_KERNELS_NEREORDERKERNEL
#include "arm_compute/core/Types.h"
#include "src/core/NEON/INEKernel.h"
namespace arm_compute
{
/** Interface kernel to reorder tensor into blocked format. */
class NEReorderKernel : public INEKernel
{
public:
const char *name() const override
{
return "NEReorderKernel";
}
/** Default constructor */
NEReorderKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEReorderKernel(const NEReorderKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEReorderKernel &operator=(const NEReorderKernel &) = delete;
/** Allow instances of this class to be moved */
NEReorderKernel(NEReorderKernel &&) = default;
/** Allow instances of this class to be moved */
NEReorderKernel &operator=(NEReorderKernel &&) = default;
/** Default destructor */
~NEReorderKernel() = default;
/** Initialise the kernel's input and outputs.
*
* @param[in] input Source tensor with 2 or 4 dimensions. Data types supported: F32.
* @param[out] output Destination tensor. Data type supported: same as @p input. Shape same as @p input expect last dimension which needs to be multiple of blocking parameter _ksize.
* @param[in] input_wf WeightFormat of input.
* @param[in] output_wf WeightFormat of output.
*/
void configure(const ITensor *input,
ITensor *output,
arm_compute::WeightFormat input_wf,
arm_compute::WeightFormat output_wf);
/** Static function to check if given info will lead to a valid configuration of @ref NEReorderKernel
*
* @param[in] input Source tensor with 2 or 4 dimensions. Data types supported: F32.
* @param[in] output Destination tensor. Data type supported: same as @p input. Shape same as @p input expect last dimension which needs to be multiple of blocking parameter _ksize.
* @param[in] input_wf WeightFormat of input.
* @param[in] output_wf WeightFormat of output.
*
* @return a status
*/
static Status validate(const ITensorInfo *input,
const ITensorInfo *output,
arm_compute::WeightFormat input_wf,
arm_compute::WeightFormat output_wf);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
/*****************************************************************************/
private:
const ITensor *_input{nullptr}; // Input tensor
ITensor *_output{nullptr}; // Output tensor
int32_t _ksize{0}; // Blocking parameter, how many rows kernel reorders on each call
int32_t _kmax{0}; // Rows in input tensor
int32_t _xmax{0}; // Columns in input tensor
WeightFormat _input_wf{WeightFormat::UNSPECIFIED}; // WeightFormat of input tensor
WeightFormat _output_wf{WeightFormat::UNSPECIFIED}; // WeightFormat of output tensor
};
} // namespace arm_compute
#endif /* ACL_SRC_CORE_NEON_KERNELS_NEREORDERKERNEL */
#endif // defined(__aarch64__)