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/**
* 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)) {
TORCH_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
#pragma omp parallel for
#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)) {
TORCH_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_
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