File: sparse_normalize_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 (33 lines) | stat: -rw-r--r-- 835 bytes parent folder | download
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
27
28
29
30
31
32
33
#pragma once

#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"

namespace caffe2 {

template <typename T, class Context>
class CAFFE2_API SparseNormalizeOp final : public Operator<Context> {
 public:
  USE_OPERATOR_CONTEXT_FUNCTIONS;
  template <class... Args>
  explicit SparseNormalizeOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...),
        use_max_norm_(
            this->template GetSingleArgument<bool>("use_max_norm", true)),
        norm_(this->template GetSingleArgument<float>("norm", 1.0)) {
    CAFFE_ENFORCE_GE(norm_, 0, "norm should be bigger than 0");
  }

  bool RunOnDevice() override;

  template <typename SIndex>
  bool DoRunWithType();

 protected:
  bool use_max_norm_;
  float norm_;
  INPUT_TAGS(PARAM, INDICES);
  OUTPUT_TAGS(OUTPUT_PARAM);
};

} // namespace caffe2