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/*
* Copyright (c) 2017 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.
*/
#include "GEMM.h"
#include "tests/validation_new/FixedPoint.h"
#include "tests/validation_new/half.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type>
SimpleTensor<T> gemm(const SimpleTensor<T> &a, const SimpleTensor<T> &b, const SimpleTensor<T> &c, float alpha, float beta)
{
// Create reference
SimpleTensor<T> dst{ c.shape(), c.data_type(), 1, c.fixed_point_position() };
// Compute reference
const int M = dst.shape().y();
const int N = dst.shape().x();
const int K = a.shape().x();
for(int row = 0; row < M; ++row)
{
for(int col = 0; col < N; ++col)
{
T acc(0);
for(int k = 0; k < K; ++k)
{
acc += a[row * K + k] * b[k * N + col];
}
// Finalize the result: alpha * A * B + beta * C
dst[col + row * N] = alpha * acc + beta * c[col + row * N];
}
}
return dst;
}
template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type>
SimpleTensor<T> gemm(const SimpleTensor<T> &a, const SimpleTensor<T> &b, const SimpleTensor<T> &c, float alpha, float beta)
{
using namespace fixed_point_arithmetic;
// Create reference
SimpleTensor<T> dst{ c.shape(), c.data_type(), 1, c.fixed_point_position() };
// Compute reference
using promoted_type = fixed_point_arithmetic::traits::promote_t<T>;
const int M = dst.shape().y();
const int N = dst.shape().x();
const int K = a.shape().x();
const int fixed_point_position = a.fixed_point_position();
const fixed_point<T> alpha_q(alpha, fixed_point_position);
const fixed_point<T> beta_q(beta, fixed_point_position);
for(int row = 0; row < M; ++row)
{
for(int col = 0; col < N; ++col)
{
fixed_point<promoted_type> acc_q(0, fixed_point_position);
for(int k = 0; k < K; ++k)
{
const fixed_point<promoted_type> a0_q(a[row * K + k], fixed_point_position, true);
const fixed_point<promoted_type> b0_q(b[k * N + col], fixed_point_position, true);
acc_q = acc_q + (a0_q * b0_q);
}
// Finalize the result: alpha * A * B + beta * C
const fixed_point<T> c0_q(c[col + row * N], fixed_point_position, true);
fixed_point<T> res_q(acc_q);
res_q = alpha_q * res_q;
res_q = res_q + (beta_q * c0_q);
// Store the result
dst[col + row * N] = res_q.raw();
}
}
return dst;
}
template SimpleTensor<float> gemm(const SimpleTensor<float> &a, const SimpleTensor<float> &b, const SimpleTensor<float> &c, float alpha, float beta);
template SimpleTensor<half_float::half> gemm(const SimpleTensor<half_float::half> &a, const SimpleTensor<half_float::half> &b, const SimpleTensor<half_float::half> &c, float alpha, float beta);
template SimpleTensor<qint8_t> gemm(const SimpleTensor<qint8_t> &a, const SimpleTensor<qint8_t> &b, const SimpleTensor<qint8_t> &c, float alpha, float beta);
template SimpleTensor<qint16_t> gemm(const SimpleTensor<qint16_t> &a, const SimpleTensor<qint16_t> &b, const SimpleTensor<qint16_t> &c, float alpha, float beta);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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