File: compute_loss.py

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 (35 lines) | stat: -rw-r--r-- 965 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





import caffe2.contrib.playground.meter as Meter
from caffe2.python import workspace


class ComputeLoss(Meter.Meter):
    def __init__(self, opts=None, blob_name=''):
        self.blob_name = blob_name
        self.opts = opts
        self.iter = 0
        self.value = 0

    def Reset(self):
        self.iter = 0
        self.value = 0

    def Add(self):
        """Average values of a blob on each gpu"""
        value = 0
        for idx in range(self.opts['distributed']['first_xpu_id'],
                         self.opts['distributed']['first_xpu_id'] +
                         self.opts['distributed']['num_xpus']):
            value += workspace.FetchBlob('{}_{}/{}'.
                format(self.opts['distributed']['device'], idx, self.blob_name))
        self.value += value
        self.iter += 1

    def Compute(self):
        result = self.opts['distributed']['num_shards'] * self.value / self.iter
        self.Reset()
        return result