mirror of
https://github.com/jantic/DeOldify.git
synced 2026-11-02 12:51:33 +08:00
Gareth Davidson
dff82b6d2e
All the files marked as executable were bugging me, so I ran this: find . -executable -type f -print0 | xargs -0 grep -L '#!' | xargs chmod -x
44 lines
2.0 KiB
Python
44 lines
2.0 KiB
Python
"A `Callback` that saves tracked metrics into a persistent file."
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#Contribution from devforfu: https://nbviewer.jupyter.org/gist/devforfu/ea0b3fcfe194dad323c3762492b05cae
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from ..torch_core import *
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from ..basic_data import DataBunch
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from ..callback import *
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from ..basic_train import Learner, LearnerCallback
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from time import time
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from fastprogress.fastprogress import format_time
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__all__ = ['CSVLogger']
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class CSVLogger(LearnerCallback):
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"A `LearnerCallback` that saves history of metrics while training `learn` into CSV `filename`."
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def __init__(self, learn:Learner, filename: str = 'history', append: bool = False):
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super().__init__(learn)
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self.filename,self.path,self.append = filename,self.learn.path/f'{filename}.csv',append
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self.add_time = True
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def read_logged_file(self):
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"Read the content of saved file"
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return pd.read_csv(self.path)
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def on_train_begin(self, **kwargs: Any) -> None:
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"Prepare file with metric names."
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self.path.parent.mkdir(parents=True, exist_ok=True)
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self.file = self.path.open('a') if self.append else self.path.open('w')
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self.file.write(','.join(self.learn.recorder.names[:(None if self.add_time else -1)]) + '\n')
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def on_epoch_begin(self, **kwargs:Any)->None:
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if self.add_time: self.start_epoch = time()
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def on_epoch_end(self, epoch: int, smooth_loss: Tensor, last_metrics: MetricsList, **kwargs: Any) -> bool:
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"Add a line with `epoch` number, `smooth_loss` and `last_metrics`."
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last_metrics = ifnone(last_metrics, [])
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stats = [str(stat) if isinstance(stat, int) else '#na#' if stat is None else f'{stat:.6f}'
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for name, stat in zip(self.learn.recorder.names, [epoch, smooth_loss] + last_metrics)]
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if self.add_time: stats.append(format_time(time() - self.start_epoch))
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str_stats = ','.join(stats)
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self.file.write(str_stats + '\n')
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def on_train_end(self, **kwargs: Any) -> None:
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"Close the file."
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self.file.close()
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