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oops

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mrq 2023-02-18 03:27:04 +00:00
parent 8db762fa17
commit 6c284ef8ec
1 changed files with 3 additions and 2 deletions
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codes/train.py
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@ -112,8 +112,9 @@ class Trainer:
self.dataset_debugger.load_state(opt_get(resume_state, ['dataset_debugger_state'], {})) self.dataset_debugger.load_state(opt_get(resume_state, ['dataset_debugger_state'], {}))
# it will indefinitely try to train if your batch size is larger than your dataset # it will indefinitely try to train if your batch size is larger than your dataset
# could just whine when generating the YAML rather than assert here # could just whine when generating the YAML rather than assert here
if len(self.train_set) <= dataset_opt['batch_size']: if len(self.train_set) < dataset_opt['batch_size']:
raise Exception("dataset size is less than batch size, consider reducing your batch size, or increasing your dataset.") dataset_opt['batch_size'] = len(self.train_set)
print("dataset size is less than batch size, consider reducing your batch size, or increasing your dataset.")
train_size = int(math.ceil(len(self.train_set) / dataset_opt['batch_size'])) train_size = int(math.ceil(len(self.train_set) / dataset_opt['batch_size']))
total_iters = int(opt['train']['niter']) total_iters = int(opt['train']['niter'])
self.total_epochs = int(math.ceil(total_iters / train_size)) self.total_epochs = int(math.ceil(total_iters / train_size))