blob: ef38fc00d446ea8efe53d790edbbc38e669d9dfa [file] [log] [blame]
/**
* 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_SEQUENCE_OPS_H_
#define CAFFE2_OPERATORS_SEQUENCE_OPS_H_
#include "caffe2/core/operator.h"
#include "caffe2/core/tensor.h"
namespace caffe2 {
template <class Context>
class GatherPaddingOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
GatherPaddingOp(const OperatorDef& operator_def, Workspace* ws)
: Operator<Context>(operator_def, ws),
startPaddingWidth_(
OperatorBase::GetSingleArgument<int>("padding_width", 1)),
endPaddingWidth_(
OperatorBase::GetSingleArgument<int>("end_padding_width", -1)) {
CAFFE_ENFORCE_GE(startPaddingWidth_, 0);
if (endPaddingWidth_ < 0) {
endPaddingWidth_ = startPaddingWidth_;
}
}
bool RunOnDevice() override {
if (startPaddingWidth_ == 0 && endPaddingWidth_ == 0) {
Output(0)->Resize(std::vector<TIndex>(0));
if (OutputSize() == 2) {
Output(1)->Resize(std::vector<TIndex>(0));
}
return true;
}
return DispatchHelper<TensorTypes<float, double, int, int64_t, bool>>::call(
this, Input(0));
}
template <typename T>
bool DoRunWithType();
private:
int startPaddingWidth_;
int endPaddingWidth_;
};
template <class Context>
class RemovePaddingOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
RemovePaddingOp(const OperatorDef& operator_def, Workspace* ws)
: Operator<Context>(operator_def, ws),
startPaddingWidth_(
OperatorBase::GetSingleArgument<int>("padding_width", 1)),
endPaddingWidth_(
OperatorBase::GetSingleArgument<int>("end_padding_width", -1)) {
CAFFE_ENFORCE_GE(startPaddingWidth_, 0);
if (endPaddingWidth_ < 0) {
endPaddingWidth_ = startPaddingWidth_;
}
}
bool RunOnDevice() override {
if (startPaddingWidth_ == 0 && endPaddingWidth_ == 0) {
Output(0)->CopyFrom(Input(0), &context_);
if (OutputSize() == 2) {
Output(1)->CopyFrom(Input(1), &context_);
}
return true;
}
return DispatchHelper<TensorTypes<float, double, int, int64_t, bool>>::call(
this, Input(0));
}
template <typename T>
bool DoRunWithType();
private:
int startPaddingWidth_;
int endPaddingWidth_;
};
template <class Context>
class AddPaddingOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
AddPaddingOp(const OperatorDef& operator_def, Workspace* ws)
: Operator<Context>(operator_def, ws),
startPaddingWidth_(
OperatorBase::GetSingleArgument<int>("padding_width", 1)),
endPaddingWidth_(
OperatorBase::GetSingleArgument<int>("end_padding_width", -1)) {
CAFFE_ENFORCE_GE(startPaddingWidth_, 0);
if (endPaddingWidth_ < 0) {
endPaddingWidth_ = startPaddingWidth_;
}
}
bool RunOnDevice() override {
if (startPaddingWidth_ == 0 && endPaddingWidth_ == 0) {
Output(0)->CopyFrom(Input(0), &context_);
if (OutputSize() == 2) {
Output(1)->CopyFrom(Input(1), &context_);
}
return true;
}
return DispatchHelper<TensorTypes<float, double, int, int64_t, bool>>::call(
this, Input(0));
}
template <typename T>
bool DoRunWithType();
private:
int startPaddingWidth_;
int endPaddingWidth_;
};
template <class Context>
class PadEmptySamplesOp : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
PadEmptySamplesOp(const OperatorDef& operator_def, Workspace* ws)
: Operator<Context>(operator_def, ws) {}
bool RunOnDevice() override;
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_SEQUENCE_OPS_H_