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/*
* Copyright (c) 2017-2019 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.
*/
#pragma once
#include "arm_gemm.hpp"
namespace arm_gemm {
/* "Batched GEMV" (where M=1 and nbatches>1) can be executed much more
* efficiently as a GEMM (with M'=nbatches and nbatches'=1). This wrapper
* implements this. */
template<typename To, typename Tr>
class GemvBatched : public GemmCommon<To, Tr> {
private:
UniqueGemmCommon<To, Tr> _subgemm = nullptr;
public:
GemvBatched(const GemmArgs<Tr> &args) {
/* Just create a subgemm with batches->M */
GemmArgs<Tr> newargs = args;
newargs._Msize = args._nbatches;
newargs._nbatches = 1;
newargs._cfg = nullptr;
_subgemm = gemm<To,Tr>(newargs);
}
void set_arrays(const To *A, const int lda, const int A_batch_stride, const int A_multi_stride,
const To *B, const int ldb, const int B_multi_stride,
Tr *C, const int ldc, const int C_batch_stride, const int C_multi_stride) override {
/* A and C's batch stride becomes their new row stride. New batch stride is 0 as nbatches for subgemm is always 1. */
_subgemm->set_arrays(A, A_batch_stride, 0, A_multi_stride,
B, ldb, B_multi_stride,
C, C_batch_stride, 0, C_multi_stride);
}
unsigned int get_window_size() const override {
return _subgemm->get_window_size();
}
void set_nthreads(int nthreads) override {
_subgemm->set_nthreads(nthreads);
}
void execute(unsigned int start, unsigned int end, int threadid) override {
_subgemm->execute(start, end, threadid);
}
size_t get_working_size() const override {
return _subgemm->get_working_size();
}
void set_working_space(void *space) override {
_subgemm->set_working_space(space);
}
bool B_is_pretransposed() const override {
return _subgemm->B_is_pretransposed();
}
bool B_pretranspose_required() const override {
return _subgemm->B_pretranspose_required();
}
size_t get_B_pretransposed_array_size() const override {
return _subgemm->get_B_pretransposed_array_size();
}
void pretranspose_B_array(void *buffer, const To *B, const int ldb, const int B_multi_stride) override {
_subgemm->pretranspose_B_array(buffer, B, ldb, B_multi_stride);
}
void set_pretransposed_B_data(void *buffer) override {
_subgemm->set_pretransposed_B_data(buffer);
}
};
} // namespace arm_gemm
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