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Merge pull request #3898 from R-N/lr-comma

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Allow trailing comma in learning rate
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AUTOMATIC1111 2022-10-30 09:29:29 +03:00 committed by GitHub
commit 3dc9a43f7e
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1 changed files with 21 additions and 14 deletions
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35
modules/textual_inversion/learn_schedule.py
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@ -4,30 +4,37 @@ import tqdm
class LearnScheduleIterator: class LearnScheduleIterator:
def __init__(self, learn_rate, max_steps, cur_step=0): def __init__(self, learn_rate, max_steps, cur_step=0):
""" """
specify learn_rate as "0.001:100, 0.00001:1000, 1e-5:10000" to have lr of 0.001 until step 100, 0.00001 until 1000, 1e-5:10000 until 10000 specify learn_rate as "0.001:100, 0.00001:1000, 1e-5:10000" to have lr of 0.001 until step 100, 0.00001 until 1000, and 1e-5 until 10000
""" """
pairs = learn_rate.split(',') pairs = learn_rate.split(',')
self.rates = [] self.rates = []
self.it = 0 self.it = 0
self.maxit = 0 self.maxit = 0
for i, pair in enumerate(pairs): try:
tmp = pair.split(':') for i, pair in enumerate(pairs):
if len(tmp) == 2: if not pair.strip():
step = int(tmp[1]) continue
if step > cur_step: tmp = pair.split(':')
self.rates.append((float(tmp[0]), min(step, max_steps))) if len(tmp) == 2:
self.maxit += 1 step = int(tmp[1])
if step > max_steps: if step > cur_step:
self.rates.append((float(tmp[0]), min(step, max_steps)))
self.maxit += 1
if step > max_steps:
return
elif step == -1:
self.rates.append((float(tmp[0]), max_steps))
self.maxit += 1
return return
elif step == -1: else:
self.rates.append((float(tmp[0]), max_steps)) self.rates.append((float(tmp[0]), max_steps))
self.maxit += 1 self.maxit += 1
return return
else: assert self.rates
self.rates.append((float(tmp[0]), max_steps)) except (ValueError, AssertionError):
self.maxit += 1 raise Exception('Invalid learning rate schedule. It should be a number or, for example, like "0.001:100, 0.00001:1000, 1e-5:10000" to have lr of 0.001 until step 100, 0.00001 until 1000, and 1e-5 until 10000.')
return
def __iter__(self): def __iter__(self):
return self return self