mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
96 lines
2.7 KiB
C++
96 lines
2.7 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 CAFFE2_OPERATORS_TT_PAD_OP_H_
|
|
#define CAFFE2_OPERATORS_TT_PAD_OP_H_
|
|
|
|
#include "caffe2/core/context.h"
|
|
#include "caffe2/core/operator.h"
|
|
#include "caffe2/utils/math.h"
|
|
|
|
namespace caffe2 {
|
|
|
|
template <typename T, class Context, class Engine = DefaultEngine>
|
|
class TTPadOp final : public Operator<Context> {
|
|
public:
|
|
USE_OPERATOR_CONTEXT_FUNCTIONS;
|
|
TTPadOp(const OperatorDef& operator_def, Workspace* ws)
|
|
: Operator<Context>(operator_def, ws),
|
|
scale_(OperatorBase::GetSingleArgument<TIndex>("scale", 0)) {
|
|
CAFFE_ENFORCE(
|
|
OperatorBase::HasArgument("scale"), "Argument `scale` is missing.");
|
|
}
|
|
|
|
bool RunOnDevice() override {
|
|
const auto& X = Input(0);
|
|
auto* X_pad = Output(0);
|
|
CAFFE_ENFORCE(&X == X_pad);
|
|
|
|
CAFFE_ENFORCE(X.ndim() == 2, X.ndim());
|
|
|
|
auto X_dim0 = X.dim(0);
|
|
auto X_dim1 = X.dim(1);
|
|
|
|
auto* X_orig_dim0 = Output(1);
|
|
X_orig_dim0->Resize(1);
|
|
*X_orig_dim0->template mutable_data<TIndex>() = X_dim0;
|
|
|
|
if (X_dim0 % scale_ != 0) {
|
|
TIndex padded_dim0 = (X_dim0 / scale_ + 1) * scale_;
|
|
auto dim0_diff = padded_dim0 - X_dim0;
|
|
// set growthPct to the upper bound percentage: (100 * scale_ / X_dim0)
|
|
X_pad->template Extend(dim0_diff, 100 * scale_ / X_dim0, &context_);
|
|
|
|
auto* X_pad_data = X_pad->template mutable_data<T>();
|
|
TIndex X_size = X_dim0 * X_dim1;
|
|
memset(X_pad_data + X_size, 0, dim0_diff * X_dim1 * sizeof(T));
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
protected:
|
|
TIndex scale_;
|
|
};
|
|
|
|
template <typename T, class Context, class Engine = DefaultEngine>
|
|
class TTPadGradientOp final : public Operator<Context> {
|
|
public:
|
|
USE_OPERATOR_CONTEXT_FUNCTIONS;
|
|
TTPadGradientOp(const OperatorDef& operator_def, Workspace* ws)
|
|
: Operator<Context>(operator_def, ws) {}
|
|
|
|
bool RunOnDevice() override {
|
|
const auto& G = Input(0);
|
|
auto* output = Output(0);
|
|
CAFFE_ENFORCE(&G == output);
|
|
|
|
auto old_dim0 = *Input(1).template data<TIndex>();
|
|
auto new_dim0 = G.dim(0);
|
|
auto dim1 = G.dim(1);
|
|
|
|
if (old_dim0 < new_dim0) {
|
|
output->Shrink(old_dim0);
|
|
}
|
|
|
|
return true;
|
|
}
|
|
};
|
|
|
|
} // namespace caffe2
|
|
|
|
#endif // CAFFE2_OPERATORS_TT_PAD_OP_H_
|