mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 12:21:27 +01:00
b5db6ac9f1
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/14835 Codemod generated with clangr shard mode, 25 files per diff, motivation: https://github.com/pytorch/pytorch/pull/12407 Reviewed By: bddppq Differential Revision: D13335184 fbshipit-source-id: 26d8247e16b30bdff045530034af9b72c76d066f
111 lines
2.8 KiB
C++
111 lines
2.8 KiB
C++
/**
|
|
* Copyright (c) 2016-present, Facebook, Inc.
|
|
*
|
|
* 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.
|
|
*/
|
|
|
|
#ifndef UPSAMPLE_NEAREST_OP_H_
|
|
#define UPSAMPLE_NEAREST_OP_H_
|
|
|
|
#include "caffe2/core/context.h"
|
|
#include "caffe2/core/logging.h"
|
|
#include "caffe2/core/operator.h"
|
|
#include "caffe2/utils/math.h"
|
|
|
|
namespace caffe2 {
|
|
|
|
template <typename T, class Context>
|
|
class UpsampleNearestOp final : public Operator<Context> {
|
|
public:
|
|
UpsampleNearestOp(const OperatorDef& operator_def, Workspace* ws)
|
|
: Operator<Context>(operator_def, ws),
|
|
scale_(this->template GetSingleArgument<int>("scale", 2)) {
|
|
DCHECK_GE(scale_, 1);
|
|
}
|
|
USE_OPERATOR_CONTEXT_FUNCTIONS;
|
|
|
|
bool RunOnDevice() override {
|
|
auto& X = Input(0);
|
|
|
|
auto out_shape = X.sizes().vec();
|
|
out_shape[X.dim() - 1] *= scale_;
|
|
out_shape[X.dim() - 2] *= scale_;
|
|
auto* Y = Output(0, out_shape, at::dtype<T>());
|
|
|
|
int d1;
|
|
int d2;
|
|
int d3;
|
|
if (X.dim() == 3) {
|
|
d1 = Y->dim32(0);
|
|
d2 = Y->dim32(1);
|
|
d3 = Y->dim32(2);
|
|
} else {
|
|
d1 = Y->dim32(0) * Y->dim32(1);
|
|
d2 = Y->dim32(2);
|
|
d3 = Y->dim32(3);
|
|
}
|
|
|
|
const T *input_data = X.template data<T>();
|
|
T *output_data = Y->template mutable_data<T>();
|
|
int scaled_d2 = d2 / scale_;
|
|
int scaled_d3 = d3 / scale_;
|
|
|
|
#ifdef _OPENMP
|
|
#if (_OPENMP >= 201307)
|
|
#pragma omp parallel for simd
|
|
#else
|
|
#pragma omp parallel for
|
|
#endif
|
|
#endif
|
|
for (int i = 0; i < d1; ++i) {
|
|
for (int j = 0; j < d2; ++j) {
|
|
for (int u = 0; u < d3; ++u) {
|
|
int ii = (i * d2 + j) * d3 + u;
|
|
int scaled_u = u / scale_;
|
|
int scaled_j = j / scale_;
|
|
int ipidx = ((i * scaled_d2) + scaled_j) * scaled_d3 + scaled_u;
|
|
output_data[ii] = input_data[ipidx];
|
|
}
|
|
}
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
protected:
|
|
int scale_;
|
|
};
|
|
|
|
template <typename T, class Context>
|
|
class UpsampleNearestGradientOp final : public Operator<Context> {
|
|
public:
|
|
UpsampleNearestGradientOp(const OperatorDef& def, Workspace* ws)
|
|
: Operator<Context>(def, ws),
|
|
scale_(this->template GetSingleArgument<int>("scale", 2)) {
|
|
DCHECK_GE(scale_, 1);
|
|
}
|
|
USE_OPERATOR_CONTEXT_FUNCTIONS;
|
|
|
|
bool RunOnDevice() override {
|
|
// No CPU implementation for now
|
|
CAFFE_NOT_IMPLEMENTED;
|
|
}
|
|
|
|
protected:
|
|
int scale_;
|
|
};
|
|
|
|
} // namespace caffe2
|
|
|
|
#endif // UPSAMPLE_NEAREST_OP_H_
|