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Add resuming from specific checkpoint #516

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merged 7 commits into from
Nov 30, 2019
Merged

Add resuming from specific checkpoint #516

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d0a3e25
Add resume_from_checkpoint
dreamgonfly Nov 15, 2019
915b5c5
Fix variable name
dreamgonfly Nov 15, 2019
0db8785
#515 Remove did_restore
dreamgonfly Nov 18, 2019
bcebf60
#515 Simplify code
dreamgonfly Nov 18, 2019
70cbd8c
#515 Update doc for resume_from_checkpoint
dreamgonfly Nov 18, 2019
3477108
#515 Add on_gpu
dreamgonfly Nov 18, 2019
1d3dbf6
Merge branch 'master' into resume
williamFalcon Nov 30, 2019
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4 changes: 3 additions & 1 deletion pytorch_lightning/trainer/trainer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -83,7 +83,8 @@ def __init__(self,
weights_save_path=None,
amp_level='O1',
nb_sanity_val_steps=5,
truncated_bptt_steps=None):
truncated_bptt_steps=None,
resume_from_checkpoint=None):
"""

:param logger: Logger for experiment tracking
Expand Down Expand Up @@ -140,6 +141,7 @@ def __init__(self,
self.nb_sanity_val_steps = nb_sanity_val_steps
self.print_nan_grads = print_nan_grads
self.truncated_bptt_steps = truncated_bptt_steps
self.resume_from_checkpoint = resume_from_checkpoint
self.shown_warnings = set()

self.fast_dev_run = fast_dev_run
Expand Down
7 changes: 5 additions & 2 deletions pytorch_lightning/trainer/trainer_io.py
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Expand Up @@ -138,8 +138,11 @@ def restore_weights(self, model):
torch.cuda.empty_cache()

if not did_restore_hpc_weights:
# restore weights if same exp version
self.restore_state_if_checkpoint_exists(model)
if self.resume_from_checkpoint is not None:
self.restore(self.resume_from_checkpoint, on_gpu=self.on_gpu)
else:
# restore weights if same exp version
self.restore_state_if_checkpoint_exists(model)

# wait for all models to restore weights
if self.use_ddp or self.use_ddp2:
Expand Down