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Method _load_optimizer_state

improved_diffusion/train_util.py:145–155  ·  view source on GitHub ↗
(self)

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143 return ema_params
144
145 def _load_optimizer_state(self):
146 main_checkpoint = find_resume_checkpoint() or self.resume_checkpoint
147 opt_checkpoint = bf.join(
148 bf.dirname(main_checkpoint), f"opt{self.resume_step:06}.pt"
149 )
150 if bf.exists(opt_checkpoint):
151 logger.log(f"loading optimizer state from checkpoint: {opt_checkpoint}")
152 state_dict = dist_util.load_state_dict(
153 opt_checkpoint, map_location=dist_util.dev()
154 )
155 self.opt.load_state_dict(state_dict)
156
157 def _setup_fp16(self):
158 self.master_params = make_master_params(self.model_params)

Callers 1

__init__Method · 0.95

Calls 2

find_resume_checkpointFunction · 0.85
logMethod · 0.80

Tested by

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