File: percentile_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 (38 lines) | stat: -rw-r--r-- 1,009 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
27
28
29
30
31
32
33
34
35
36
37
38
// Operator to calculate percentile values for an input tensor of data,
// given samples of data from the same distribution, labeled with their
// percentile values.

#ifndef CAFFE2_OPERATORS_PERCENTILE_OP_H_
#define CAFFE2_OPERATORS_PERCENTILE_OP_H_

#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/tensor.h"
#include "caffe2/utils/math.h"

C10_DECLARE_EXPORT_CAFFE2_OP_TO_C10(Percentile);

namespace caffe2 {

template <class Context>
class PercentileOp final : public Operator<Context> {
 public:
  USE_OPERATOR_CONTEXT_FUNCTIONS;
  template <class... Args>
  explicit PercentileOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...) {}

  bool RunOnDevice() override;

 protected:
  INPUT_TAGS(X, VAL_PCT_PAIRS, LENS);
  OUTPUT_TAGS(PCT);
  Tensor values_tensor;
  Tensor percentiles_tensor;
};

} // namespace caffe2

#endif // CAFFE2_OPERATORS_PERCENTILE_OP_H_