dianskip/ai-voice-cloning
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forgot to clean up debug prints

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mrq 2023-03-13 00:44:37 +00:00
parent 239c984850
commit 7c9c0dc584
1 changed files with 1 additions and 5 deletions
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6
src/utils.py
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@ -819,8 +819,6 @@ class TrainingState():
continue continue
self.parse_metrics(data) self.parse_metrics(data)
print(self.get_status())
# print(f"Iterations Left: {self.its - self.it} | Elapsed Time: {self.it_rates} | Time Remaining: {self.eta} | Message: {self.get_status()}")
self.last_info_check_at = highest_step self.last_info_check_at = highest_step
@ -964,8 +962,6 @@ def update_training_dataplot(config_path=None):
training_state = TrainingState(config_path=config_path, start=False) training_state = TrainingState(config_path=config_path, start=False)
training_state.load_statistics() training_state.load_statistics()
message = training_state.get_status() message = training_state.get_status()
print(message)
if len(training_state.statistics['loss']) > 0: if len(training_state.statistics['loss']) > 0:
losses = gr.LinePlot.update(value=pd.DataFrame(training_state.statistics['loss']), x_lim=[0,training_state.epochs], x="epoch", y="value", title="Loss Metrics", color="type", tooltip=['epoch', 'it', 'value', 'type'], width=500, height=350,) losses = gr.LinePlot.update(value=pd.DataFrame(training_state.statistics['loss']), x_lim=[0,training_state.epochs], x="epoch", y="value", title="Loss Metrics", color="type", tooltip=['epoch', 'it', 'value', 'type'], width=500, height=350,)
if len(training_state.statistics['lr']) > 0: if len(training_state.statistics['lr']) > 0:
@ -973,7 +969,7 @@ def update_training_dataplot(config_path=None):
del training_state del training_state
training_state = None training_state = None
else: else:
training_state.load_statistics() # training_state.load_statistics()
if len(training_state.statistics['loss']) > 0: if len(training_state.statistics['loss']) > 0:
losses = gr.LinePlot.update(value=pd.DataFrame(training_state.statistics['loss']), x_lim=[0,training_state.epochs], x="epoch", y="value", title="Loss Metrics", color="type", tooltip=['epoch', 'it', 'value', 'type'], width=500, height=350,) losses = gr.LinePlot.update(value=pd.DataFrame(training_state.statistics['loss']), x_lim=[0,training_state.epochs], x="epoch", y="value", title="Loss Metrics", color="type", tooltip=['epoch', 'it', 'value', 'type'], width=500, height=350,)
if len(training_state.statistics['lr']) > 0: if len(training_state.statistics['lr']) > 0: