Save & load amp state
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@ -4,6 +4,7 @@ import torch
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import torch.nn as nn
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from torch.nn.parallel import DistributedDataParallel
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import utils.util
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from apex import amp
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class BaseModel():
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@ -109,6 +110,7 @@ class BaseModel():
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state['schedulers'].append(s.state_dict())
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for o in self.optimizers:
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state['optimizers'].append(o.state_dict())
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state['amp'] = amp.state_dict()
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save_filename = '{}.state'.format(iter_step)
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save_path = os.path.join(self.opt['path']['training_state'], save_filename)
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torch.save(state, save_path)
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@ -129,3 +131,4 @@ class BaseModel():
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self.optimizers[i].load_state_dict(o)
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for i, s in enumerate(resume_schedulers):
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self.schedulers[i].load_state_dict(s)
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amp.load_state_dict(resume_state['amp'])
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