File: weighted_multi_sampling_op.h

package info (click to toggle)
pytorch 1.7.1-7
  • links: PTS, VCS
  • area: main
  • in suites: bullseye
  • size: 80,340 kB
  • sloc: cpp: 670,830; python: 343,991; ansic: 67,845; asm: 5,503; sh: 2,924; java: 2,888; xml: 266; makefile: 244; ruby: 148; yacc: 144; objc: 51; lex: 44
file content (26 lines) | stat: -rw-r--r-- 602 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
#pragma once
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"

namespace caffe2 {

template <class Context>
class WeightedMultiSamplingOp : public Operator<Context> {
 public:
  USE_OPERATOR_CONTEXT_FUNCTIONS;

  template <class... Args>
  explicit WeightedMultiSamplingOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...),
        num_samples_(
            this->template GetSingleArgument<int64_t>("num_samples", 0)) {
    CAFFE_ENFORCE_GE(num_samples_, 0);
  }

  bool RunOnDevice() override;

 private:
  const int64_t num_samples_;
};

} // namespace caffe2