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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
#ifdef __aarch64__
namespace arm_gemm {
// Actual kernel implementations
void a64_sgemv_pretransposed(const float *, int, const float *, float *, float, int, int);
// Pretransposed SGEMV strategy class.
class sgemv_pretransposed {
public:
typedef float operand_type;
typedef float result_type;
typedef void (*kern_type)(const float *, int, const float *, float *, float, int, int);
/* Describes the data layout for matrix (A) input */
/* Note that often GEMV is expressed as a GEMM with M=1, i.e. A is the
* (row) vector and B is the matrix, but the standard GEMV arrangement
* is matrix A times (column) vector X. "A_transpose" is expressed in
* terms of this standard arrangement, so if the A matrix is in fact the
* B matrix from a GEMM call, the sense of the transpose needs to be
* reversed. */
static constexpr unsigned int A_interleave() {
return 32;
}
static constexpr unsigned int A_block() {
return 1;
}
static constexpr bool A_transpose() {
return false;
}
/* Kernel blocking parameters */
static constexpr unsigned int out_width() {
return 32;
}
static constexpr unsigned int k_unroll() {
return 1;
}
kern_type kernel = a64_sgemv_pretransposed;
sgemv_pretransposed(const CPUInfo *ci) { }
};
} // namespace arm_gemm
#endif // __aarch64__