116 lines
5.3 KiB
C++
116 lines
5.3 KiB
C++
/*
|
|
* 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.
|
|
*/
|
|
#include "FuseBatchNormalization.h"
|
|
#include "tests/validation/Helpers.h"
|
|
|
|
namespace arm_compute
|
|
{
|
|
namespace test
|
|
{
|
|
namespace validation
|
|
{
|
|
namespace reference
|
|
{
|
|
template <typename T>
|
|
void fuse_batch_normalization_dwc_layer(const SimpleTensor<T> &w, const SimpleTensor<T> &mean, const SimpleTensor<T> &var, SimpleTensor<T> &w_fused, SimpleTensor<T> &b_fused, const SimpleTensor<T> &b,
|
|
const SimpleTensor<T> &beta, const SimpleTensor<T> &gamma, float epsilon)
|
|
{
|
|
const auto *w_data = w.data();
|
|
const auto *b_data = b.data();
|
|
|
|
auto *w_fused_data = w_fused.data();
|
|
auto *b_fused_data = b_fused.data();
|
|
|
|
const unsigned int width = w.shape()[0];
|
|
const unsigned int height = w.shape()[1];
|
|
const unsigned int dim2 = w.shape()[2];
|
|
|
|
#if defined(_OPENMP)
|
|
#pragma omp parallel for
|
|
#endif /* _OPENMP */
|
|
for(unsigned int b = 0; b < dim2; ++b)
|
|
{
|
|
const auto mean_val = mean.data()[b];
|
|
const auto var_val = var.data()[b];
|
|
const auto beta_val = beta.data()[b];
|
|
const auto gamma_val = gamma.data()[b];
|
|
|
|
for(unsigned int i = 0; i < width * height; ++i)
|
|
{
|
|
unsigned int index = i + b * width * height;
|
|
|
|
w_fused_data[index] = (gamma_val * (w_data[index])) / sqrt(var_val + epsilon);
|
|
}
|
|
|
|
b_fused_data[b] = (b_data[b] - mean_val) / sqrt(var_val + epsilon) * gamma_val + beta_val;
|
|
}
|
|
}
|
|
|
|
template <typename T>
|
|
void fuse_batch_normalization_conv_layer(const SimpleTensor<T> &w, const SimpleTensor<T> &mean, const SimpleTensor<T> &var, SimpleTensor<T> &w_fused, SimpleTensor<T> &b_fused,
|
|
const SimpleTensor<T> &b,
|
|
const SimpleTensor<T> &beta, const SimpleTensor<T> &gamma, float epsilon)
|
|
{
|
|
const auto *w_data = w.data();
|
|
const auto *b_data = b.data();
|
|
|
|
auto *w_fused_data = w_fused.data();
|
|
auto *b_fused_data = b_fused.data();
|
|
|
|
const unsigned int width = w.shape()[0];
|
|
const unsigned int height = w.shape()[1];
|
|
const unsigned int dim2 = w.shape()[2];
|
|
const unsigned int dim3 = w.shape()[3];
|
|
|
|
for(unsigned int b = 0; b < dim3; ++b)
|
|
{
|
|
const auto mean_val = mean.data()[b];
|
|
const auto var_val = var.data()[b];
|
|
const auto beta_val = beta.data()[b];
|
|
const auto gamma_val = gamma.data()[b];
|
|
|
|
for(unsigned int i = 0; i < width * height * dim2; ++i)
|
|
{
|
|
unsigned int index = i + b * width * height * dim2;
|
|
|
|
w_fused_data[index] = (gamma_val * (w_data[index])) / sqrt(var_val + epsilon);
|
|
}
|
|
|
|
b_fused_data[b] = (b_data[b] - mean_val) / sqrt(var_val + epsilon) * gamma_val + beta_val;
|
|
}
|
|
}
|
|
|
|
template void fuse_batch_normalization_dwc_layer(const SimpleTensor<float> &w, const SimpleTensor<float> &mean, const SimpleTensor<float> &var, SimpleTensor<float> &w_fused,
|
|
SimpleTensor<float> &b_fused, const SimpleTensor<float> &b, const SimpleTensor<float> &beta, const SimpleTensor<float> &gamma, float epsilon);
|
|
template void fuse_batch_normalization_dwc_layer(const SimpleTensor<half> &w, const SimpleTensor<half> &mean, const SimpleTensor<half> &var, SimpleTensor<half> &w_fused, SimpleTensor<half> &b_fused,
|
|
const SimpleTensor<half> &b, const SimpleTensor<half> &beta, const SimpleTensor<half> &gamma, float epsilon);
|
|
template void fuse_batch_normalization_conv_layer(const SimpleTensor<float> &w, const SimpleTensor<float> &mean, const SimpleTensor<float> &var, SimpleTensor<float> &w_fused,
|
|
SimpleTensor<float> &b_fused, const SimpleTensor<float> &b, const SimpleTensor<float> &beta, const SimpleTensor<float> &gamma, float epsilon);
|
|
template void fuse_batch_normalization_conv_layer(const SimpleTensor<half> &w, const SimpleTensor<half> &mean, const SimpleTensor<half> &var, SimpleTensor<half> &w_fused, SimpleTensor<half> &b_fused,
|
|
const SimpleTensor<half> &b, const SimpleTensor<half> &beta, const SimpleTensor<half> &gamma, float epsilon);
|
|
} // namespace reference
|
|
} // namespace validation
|
|
} // namespace test
|
|
} // namespace arm_compute
|