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/*
* Copyright (c) 2019-2020 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
namespace arm_gemm
{
// Fallback routine to add bias to a block
template<typename T>
inline void bias_adder(T *out, unsigned int stride, const T *bias, unsigned int rows, unsigned int cols) {
for (unsigned int row=0; row<rows; row++) {
for (unsigned int col=0; col<cols; col++) {
out[row * stride + col] += bias[col];
}
}
}
template<bool DoBias, typename T>
inline void activator(T *out, unsigned int stride, const T *bias, Activation act, unsigned int rows, unsigned int cols) {
if (act.type == Activation::Type::None) {
if (DoBias) {
bias_adder(out, stride, bias, rows, cols);
}
return;
}
if (act.type == Activation::Type::ReLU) {
for (unsigned int row=0; row<rows; row++) {
for (unsigned int col=0; col<cols; col++) {
T &v = out[row * stride + col];
if (DoBias) {
v += bias[col];
}
v = std::max(static_cast<T>(0), v);
}
}
}
if (act.type == Activation::Type::BoundedReLU) {
const T max = static_cast<T>(act.param1);
for (unsigned int row=0; row<rows; row++) {
for (unsigned int col=0; col<cols; col++) {
T &v = out[row * stride + col];
if (DoBias) {
v += bias[col];
}
v = std::max(static_cast<T>(0), std::min(v, max));
}
}
}
}
} // namespace arm_gemm
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