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Need the ability to resume training from a saved checkpoint #61

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Need the ability to resume training from a saved checkpoint #61

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2f4bc7c
enable resume training from checkpoint
pulinagrawal Jun 28, 2022
85cd5fd
enable backward compatibility
pulinagrawal Jun 28, 2022
8540327
example config setup for resume training
pulinagrawal Jun 28, 2022
070c274
fix quotes in yaml
pulinagrawal Jun 28, 2022
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3 changes: 3 additions & 0 deletions configs/vae.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -27,3 +27,6 @@ logging_params:
save_dir: "logs/"
name: "VanillaVAE"

custom_params:
resume_training: false
resume_chkpt_path: ""
10 changes: 10 additions & 0 deletions run.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@
import argparse
import numpy as np
from pathlib import Path
from collections import OrderedDict
from models import *
from experiment import VAEXperiment
import torch.backends.cudnn as cudnn
Expand Down Expand Up @@ -36,6 +37,15 @@
seed_everything(config['exp_params']['manual_seed'], True)

model = vae_models[config['model_params']['name']](**config['model_params'])
if 'custom_params' in config:
if config['custom_params']['resume_training']:
checkpoint = torch.load(config['custom_params']['resume_chkpt_path'])
state_dict = checkpoint['state_dict']
new_state_dict = OrderedDict()
for k, v in state_dict.items():
new_state_dict[k.replace("model.", "")] = v
model.load_state_dict(new_state_dict)

experiment = VAEXperiment(model,
config['exp_params'])

Expand Down