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/*
* Copyright (c) 2018 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 __ARM_COMPUTE_NEGEMMINTERLEAVEDPREPAREBWRAPPERKERNEL_H__
#define __ARM_COMPUTE_NEGEMMINTERLEAVEDPREPAREBWRAPPERKERNEL_H__
#include "arm_compute/core/NEON/INEKernel.h"
#include "arm_compute/core/NEON/kernels/assembly/Helpers.h"
#include "arm_compute/core/NEON/kernels/assembly/INEGEMMWrapperKernel.h"
namespace arm_compute
{
class ITensor;
/** Unit of work for @ref NEGEMMInterleavedPrepareBWrapperKernel to process */
struct PrepareBWorkload
{
/** Constructor
*
* @param[in] offset_b Offset from the start of b's allocation
* @param[in] offset_transformed_b Offset from the start of transformed_b's allocation.
* @param[in] x0 First value to process along the X dimension (N).
* @param[in] xmax Last value to process along the X dimension (N).
* @param[in] k0 First value to process along the K dimension.
* @param[in] kmax Last value to process along the K dimension.
*/
PrepareBWorkload(unsigned int offset_b, unsigned int offset_transformed_b, unsigned int x0, unsigned int xmax, unsigned int k0, unsigned int kmax)
: _offset_b(offset_b), _offset_transformed_b(offset_transformed_b), _x0(x0), _xmax(xmax), _k0(k0), _kmax(kmax)
{
}
unsigned int _offset_b; /**< Offset from the start of b's allocation.*/
unsigned int _offset_transformed_b; /**< Offset from the start of transformed_b's allocation.*/
unsigned int _x0; /**< First value to process along the X dimension (N). */
unsigned int _xmax; /**< Last value to process along the X dimension (N). */
unsigned int _k0; /**< First value to process along the K dimension. */
unsigned int _kmax; /**< Last value to process along the K dimension. */
};
/** Common interface for the templated wrappers around the B reshape NEON assembly implementations */
class NEGEMMInterleavedPrepareBWrapperKernel : public INEKernel
{
public:
/** Transform the block at the given coordinates
*
* @param[in] wl Workload to process.
* @param[in] info Information about the current thread.
*/
virtual void transform(const PrepareBWorkload &wl, const ThreadInfo &info) = 0;
/** Generate an array of workloads
*
* @param[out] workloads Container to store the generated workloads.
*/
virtual void create_workloads(std::vector<PrepareBWorkload> &workloads) = 0;
/** Return the block_sizes used to resape B
*
* The same block sizes must be used to reshape A and for the matrix multiplication
*
* @return The block sizes used to reshape B.
*/
virtual BlockSizes block_sizes() const = 0;
// Inherited methods overridden:
const char *name() const override
{
return "NEGEMMInterleavedPrepareBWrapperKernel";
}
bool is_parallelisable() const override
{
return false; // Can't run on arbitrary windows but can be parallelised using an array of workloads
}
};
/** Equivalent to arm_gemm::GemmInterleaved's strategy::transforms::PrepareB() but using Compute Library types.
*/
template <typename To, bool use_dot = false>
class NEGEMMInterleavedPrepareBWrapperKernelTemplate : public NEGEMMInterleavedPrepareBWrapperKernel
{
public:
/** Configure the reshape B routine.
*
* @param[in] b Input matrix B.
* @param[out] transformed_b Reshaped matrix B.
* @param[in] transpose_b Also transpose B ?
* @param[in] ci CPU information
* @param[in] params M, N, K sizes.
*/
void configure(const ITensor *b, ITensor *transformed_b, bool transpose_b, const CPUInfo &ci, const INEGEMMWrapperKernel::Params ¶ms);
// Inherited methods overridden:
void transform(const PrepareBWorkload &wl, const ThreadInfo &info) override;
void create_workloads(std::vector<PrepareBWorkload> &workloads) override;
void run(const Window &window, const ThreadInfo &info) override;
BlockSizes block_sizes() const override;
private:
const ITensor *_b
{
nullptr
};
ITensor *_transformed_b{ nullptr };
unsigned int _Nsize{ 0 };
unsigned int _Ksize{ 0 };
bool _transpose_b{ false };
BlockSizes _block_sizes{};
};
} // namespace arm_compute
#endif /* __ARM_COMPUTE_NEGEMMINTERLEAVEDPREPAREBWRAPPERKERNEL_H__ */
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