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Method _load_optimizer_state

guided_diffusion/train_util.py:141–151  ·  view source on GitHub ↗
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139 return ema_params
140
141 def _load_optimizer_state(self):
142 main_checkpoint = find_resume_checkpoint() or self.resume_checkpoint
143 opt_checkpoint = bf.join(
144 bf.dirname(main_checkpoint), f"opt{self.resume_step:06}.pt"
145 )
146 if bf.exists(opt_checkpoint):
147 logger.log(f"loading optimizer state from checkpoint: {opt_checkpoint}")
148 state_dict = dist_util.load_state_dict(
149 opt_checkpoint, map_location=dist_util.dev()
150 )
151 self.opt.load_state_dict(state_dict)
152
153 def run_loop(self):
154 while (

Callers 1

__init__Method · 0.95

Calls 2

find_resume_checkpointFunction · 0.85
logMethod · 0.80

Tested by

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