| 25 | |
| 26 | |
| 27 | class TrainingStats(object): |
| 28 | def __init__(self, window_size, stats_keys): |
| 29 | self.window_size = window_size |
| 30 | self.smoothed_losses_and_metrics = { |
| 31 | key: SmoothedValue(window_size) |
| 32 | for key in stats_keys |
| 33 | } |
| 34 | |
| 35 | def update(self, stats): |
| 36 | for k, v in stats.items(): |
| 37 | if k not in self.smoothed_losses_and_metrics: |
| 38 | self.smoothed_losses_and_metrics[k] = SmoothedValue( |
| 39 | self.window_size) |
| 40 | self.smoothed_losses_and_metrics[k].add_value(v) |
| 41 | |
| 42 | def get(self, extras=None): |
| 43 | stats = collections.OrderedDict() |
| 44 | if extras: |
| 45 | for k, v in extras.items(): |
| 46 | stats[k] = v |
| 47 | for k, v in self.smoothed_losses_and_metrics.items(): |
| 48 | stats[k] = round(v.get_median_value(), 6) |
| 49 | |
| 50 | return stats |
| 51 | |
| 52 | def log(self, extras=None): |
| 53 | d = self.get(extras) |
| 54 | strs = [] |
| 55 | for k, v in d.items(): |
| 56 | strs.append("{}: {:x<6f}".format(k, v)) |
| 57 | strs = ", ".join(strs) |
| 58 | return strs |