mirror of
https://github.com/wassname/pytorch-lightning.git
synced 2026-08-27 12:20:51 +08:00
Jirka Borovec
5dd2afeab1
* abs import * rename test model * update trainer * revert test_step check * move tags * fix test_step * clean tests * fix template * update dataset path * fix parent order
68 lines
1.6 KiB
Python
68 lines
1.6 KiB
Python
import os
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import csv
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import logging as log
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from argparse import Namespace
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class ModelIO(object):
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def on_load_checkpoint(self, checkpoint):
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"""
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Do something with the checkpoint
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Gives model a chance to load something before state_dict is restored
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:param checkpoint:
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:return:
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"""
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def on_save_checkpoint(self, checkpoint):
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"""
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Give the model a chance to add something to the checkpoint.
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state_dict is already there
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"""
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# -------------------------
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# OPTIONAL HOOKS
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# -------------------------
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def on_hpc_save(self, checkpoint):
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"""
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Hook to do whatever you need right before Slurm manager saves the model
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:return:
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"""
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def on_hpc_load(self, checkpoint):
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"""
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Hook to do whatever you need right before Slurm manager loads the model
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:return:
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"""
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def load_hparams_from_tags_csv(tags_csv):
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if not os.path.isfile(tags_csv):
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log.warning(f'Missing Tags: {tags_csv}.')
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return Namespace()
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tags = {}
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with open(tags_csv) as f:
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csv_reader = csv.reader(f, delimiter=',')
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for row in list(csv_reader)[1:]:
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tags[row[0]] = convert(row[1])
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ns = Namespace(**tags)
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return ns
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def convert(val):
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constructors = [int, float, str]
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if isinstance(val, str):
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if val.lower() == 'true':
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return True
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if val.lower() == 'false':
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return False
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for c in constructors:
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try:
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return c(val)
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except ValueError:
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pass
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return val
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