wehub-resource-sync
51 lines
1.5 KiB
C++
51 lines
1.5 KiB
C++
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License. */
|
|
|
|
#include "paddle/phi/kernels/funcs/sequence_scale.h"
|
|
#include "paddle/phi/backends/cpu/cpu_context.h"
|
|
|
|
namespace phi {
|
|
class DenseTensor;
|
|
} // namespace phi
|
|
|
|
namespace phi::funcs {
|
|
|
|
template <typename T>
|
|
class ScaleDenseTensorFunctor<CPUContext, T> {
|
|
public:
|
|
void operator()(const CPUContext& dev_ctx,
|
|
const T* scales,
|
|
DenseTensor* seq) {
|
|
const size_t level = 0;
|
|
auto lod = seq->lod();
|
|
const size_t num_seq = lod[level].size() - 1;
|
|
size_t seq_width = seq->dims()[1];
|
|
LegacyLoD abs_offset_lod = ToAbsOffset(lod);
|
|
|
|
T* seq_data = dev_ctx.template Alloc<T>(seq);
|
|
for (size_t i = 0; i < num_seq; ++i) {
|
|
for (size_t j = lod[level][i] * seq_width;
|
|
j < lod[level][i + 1] * seq_width;
|
|
++j) {
|
|
seq_data[j] *= scales[i];
|
|
}
|
|
}
|
|
}
|
|
};
|
|
|
|
template class ScaleDenseTensorFunctor<CPUContext, float>;
|
|
template class ScaleDenseTensorFunctor<CPUContext, double>;
|
|
|
|
} // namespace phi::funcs
|