wassname/pytorch-lightning
1
0
Fork 0
mirror of https://github.com/wassname/pytorch-lightning.git synced 2026-09-09 11:32:07 +08:00
Code Issues Packages Projects Releases Wiki Activity

Fix ModelCheckpoint not being fixable.

Browse Source
This commit is contained in:
Wojciech Jabłoński
2020-04-27 11:02:33 +02:00
committed by GitHub
parent acfb054103
commit 735520b03e
1 changed files with 11 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files
pytorch_lightning/callbacks/model_checkpoint.py
+11 -6
View File
@@ -116,10 +116,10 @@ class ModelCheckpoint(Callback):
torch_inf = torch.tensor(np.Inf)
mode_dict = {
'min': (torch.lt, torch_inf, 'min'),
'max': (torch.gt, -torch_inf, 'max'),
'auto': (torch.gt, -torch_inf, 'max') if 'acc' in self.monitor or self.monitor.startswith('fmeasure')
else (torch.lt, torch_inf, 'min'),
'min': (torch_inf, 'min'),
'max': (-torch_inf, 'max'),
'auto': (-torch_inf, 'max') if 'acc' in self.monitor or self.monitor.startswith('fmeasure')
else (torch_inf, 'min'),
}
if mode not in mode_dict:
@@ -127,7 +127,7 @@ class ModelCheckpoint(Callback):
f'fallback to auto mode.', RuntimeWarning)
mode = 'auto'
self.monitor_op, self.kth_value, self.mode = mode_dict[mode]
self.kth_value, self.mode = mode_dict[mode]
def _del_model(self, filepath):
if os.path.isfile(filepath):
@@ -151,7 +151,12 @@ class ModelCheckpoint(Callback):
if not isinstance(current, torch.Tensor):
current = torch.tensor(current)
return self.monitor_op(current, self.best_k_models[self.kth_best_model])
monitor_op = {
"min": torch.lt,
"max": torch.gt,
}[self.mode]
return monitor_op(current, self.best_k_models[self.kth_best_model])
def format_checkpoint_name(self, epoch, metrics, ver=None):
"""Generate a filename according to the defined template.