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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
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class LearnSchedule:
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def __init__(self, learn_rate, max_steps, cur_step=0):
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pairs = learn_rate.split(',')
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self.rates = []
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self.it = 0
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self.maxit = 0
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for i, pair in enumerate(pairs):
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tmp = pair.split(':')
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if len(tmp) == 2:
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step = int(tmp[1])
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if step > cur_step:
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self.rates.append((float(tmp[0]), min(step, max_steps)))
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self.maxit += 1
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if step > max_steps:
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return
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elif step == -1:
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self.rates.append((float(tmp[0]), max_steps))
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self.maxit += 1
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return
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else:
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self.rates.append((float(tmp[0]), max_steps))
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self.maxit += 1
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return
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def __iter__(self):
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return self
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def __next__(self):
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if self.it < self.maxit:
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self.it += 1
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return self.rates[self.it - 1]
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else:
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raise StopIteration
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