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added override for large training plots

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mrq 2023-03-07 19:29:09 +00:00
parent 3718e9d0fb
commit 6d7e143f53
1 changed files with 8 additions and 1 deletions
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9
src/utils.py
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@ -991,6 +991,13 @@ def run_training(config_path, verbose=False, gpus=1, keep_x_past_datasets=0, pro
if training_state and training_state.process: if training_state and training_state.process:
return "Training already in progress" return "Training already in progress"
try:
import altair as alt
alt.data_transformers.enable('default', max_rows=None)
except Exception as e:
print(e)
pass
# ensure we have the dvae.pth # ensure we have the dvae.pth
get_model_path('dvae.pth') get_model_path('dvae.pth')
@ -1043,7 +1050,7 @@ def reconnect_training(verbose=False, progress=gr.Progress(track_tqdm=True)):
return "Training not in progress" return "Training not in progress"
for line in iter(training_state.process.stdout.readline, ""): for line in iter(training_state.process.stdout.readline, ""):
result, percent, message = training_state.parse( line=line, verbose=verbose, keep_x_past_datasets=keep_x_past_datasets, progress=progress ) result, percent, message = training_state.parse( line=line, verbose=verbose, progress=progress )
print(f"[Training] [{datetime.now().isoformat()}] {line[:-1]}") print(f"[Training] [{datetime.now().isoformat()}] {line[:-1]}")
if result: if result:
yield result yield result