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Update app.py
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app.py
CHANGED
@@ -99,7 +99,7 @@ with gr.Blocks(title="RVC UI") as app:
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with gr.Row():
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with gr.Column():
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save_epoch10 = gr.Slider(minimum=1,maximum=50,step=1,label="Save frequency (save_every_epoch)",value=5,interactive=True)
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total_epoch11 = gr.Slider(minimum=2,maximum=1000,step=1,label=
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batch_size12 = gr.Slider(minimum=1,maximum=40,step=1,label="Batch size per GPU",value=default_batch_size,interactive=True)
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if_save_latest13 = gr.Radio(label="Save only the latest '.ckpt' file to save disk space",choices=["Yes", "No"],value="No",interactive=True)
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if_cache_gpu17 = gr.Radio(label="Cache all training sets to GPU memory. Caching small datasets (less than 10 minutes) can speed up training, but caching large datasets will consume a lot of GPU memory and may not provide much speed improvement",choices=["Yes", "No"],value="No",interactive=True)
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with gr.Row():
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with gr.Column():
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save_epoch10 = gr.Slider(minimum=1,maximum=50,step=1,label="Save frequency (save_every_epoch)",value=5,interactive=True)
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+
total_epoch11 = gr.Slider(minimum=2,maximum=1000,step=1,label="Total training epochs (total_epoch)",value=20,interactive=True)
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batch_size12 = gr.Slider(minimum=1,maximum=40,step=1,label="Batch size per GPU",value=default_batch_size,interactive=True)
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if_save_latest13 = gr.Radio(label="Save only the latest '.ckpt' file to save disk space",choices=["Yes", "No"],value="No",interactive=True)
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if_cache_gpu17 = gr.Radio(label="Cache all training sets to GPU memory. Caching small datasets (less than 10 minutes) can speed up training, but caching large datasets will consume a lot of GPU memory and may not provide much speed improvement",choices=["Yes", "No"],value="No",interactive=True)
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