35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
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"""Define Logger class for logging information to stdout and disk."""
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import json
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import os
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from os.path import join
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from pytorch_lightning.loggers.test_tube import TestTubeLogger
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from pytorch_lightning.callbacks import ModelCheckpoint, EarlyStopping
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def get_ckpt_dir(save_path, exp_name):
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return os.path.join(save_path, exp_name, "ckpts")
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def get_ckpt_callback(save_path, exp_name, monitor="val_loss", mode="min"):
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ckpt_dir = os.path.join(save_path, exp_name, "ckpts")
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return ModelCheckpoint(filepath=ckpt_dir,
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save_top_k=1,
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verbose=True,
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monitor=monitor,
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mode=mode,
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prefix='')
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def get_early_stop_callback(patience=10):
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return EarlyStopping(monitor='val_loss',
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patience=patience,
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verbose=True,
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mode='min')
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def get_logger(save_path, exp_name):
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exp_dir = os.path.join(save_path, exp_name)
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return TestTubeLogger(save_dir=exp_dir,
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name='lightning_logs',
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version="0")
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