| 39 | |
| 40 | |
| 41 | class TrainingStats(object): |
| 42 | def __init__(self, window_size, stats_keys): |
| 43 | self.window_size = window_size |
| 44 | self.smoothed_losses_and_metrics = { |
| 45 | key: SmoothedValue(window_size) for key in stats_keys |
| 46 | } |
| 47 | |
| 48 | def update(self, stats): |
| 49 | for k, v in stats.items(): |
| 50 | if k not in self.smoothed_losses_and_metrics: |
| 51 | self.smoothed_losses_and_metrics[k] = SmoothedValue(self.window_size) |
| 52 | self.smoothed_losses_and_metrics[k].add_value(v) |
| 53 | |
| 54 | def get(self, extras=None): |
| 55 | stats = collections.OrderedDict() |
| 56 | if extras: |
| 57 | for k, v in extras.items(): |
| 58 | stats[k] = v |
| 59 | for k, v in self.smoothed_losses_and_metrics.items(): |
| 60 | stats[k] = round(v.get_median_value(), 6) |
| 61 | |
| 62 | return stats |
| 63 | |
| 64 | def log(self, extras=None): |
| 65 | d = self.get(extras) |
| 66 | strs = [] |
| 67 | for k, v in d.items(): |
| 68 | strs.append("{}: {:x<6f}".format(k, v)) |
| 69 | strs = ", ".join(strs) |
| 70 | return strs |
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