caffe2/operators/boolean_mask_ops.h

/**
 * 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 BOOLEAN_MASK_OPS_H
#define BOOLEAN_MASK_OPS_H

#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/tensor.h"
#include "caffe2/utils/conversions.h"

namespace caffe2 {

template <class Context>
class BooleanMaskOp final : public Operator<Context> {
 public:
  USE_OPERATOR_CONTEXT_FUNCTIONS;
  BooleanMaskOp(const OperatorDef& operator_def, Workspace* ws)
      : Operator<Context>(operator_def, ws) {}

  bool RunOnDevice() override;
};

template <class Context>
class SequenceMaskOp final : public Operator<Context> {
 public:
  USE_OPERATOR_CONTEXT_FUNCTIONS;
  explicit SequenceMaskOp(const OperatorDef& operator_def, Workspace* ws)
      : Operator<Context>(operator_def, ws),
        axis_(OperatorBase::GetSingleArgument<int>("axis", 1)),
        radius_(OperatorBase::GetSingleArgument<int>("radius", 10)),
        grad_(OperatorBase::GetSingleArgument<bool>("grad", false)),
        fill_val_(OperatorBase::GetSingleArgument<float>(
            "fill_val",
            -1.0f * std::numeric_limits<float>::infinity())) {
    // Mode argument is required
    mode_ = GetArgument(operator_def, "mode").s();
    // batch argument is optional, but if not given, we don't want a default val
    if (HasArgument("batch")) {
      batch_ = GetArgument(operator_def, "batch").i();
    }
  }

  bool RunOnDevice() override;

  template <typename T>
  bool DoRunWithType();

 private:
  int axis_;
  int radius_;
  std::string mode_;
  bool grad_;
  float fill_val_;
  int batch_;
};

} // caffe2

#endif