mrfakename commited on
Commit
d4d700b
1 Parent(s): 08f37e8

peek -> peak

Browse files
Files changed (1) hide show
  1. src/app.py +4 -4
src/app.py CHANGED
@@ -17,13 +17,13 @@ def get_results(model_name: str, library: str, options: list, access_token: str)
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  stages = {"model": [], "gradients": [], "optimizer": [], "step": []}
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  for i, option in enumerate(data):
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  for stage in stages:
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- stages[stage].append(option["Training using Adam (Peek vRAM)"][stage])
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- value = max(data[i]["Training using Adam (Peek vRAM)"].values())
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  if value == -1:
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  value = "N/A"
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  else:
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  value = convert_bytes(value)
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- data[i]["Training using Adam (Peek vRAM)"] = value
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  if any(value != -1 for value in stages["model"]):
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  out_explain = "## Training using Adam explained:\n"
@@ -73,7 +73,7 @@ with gr.Blocks() as demo:
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  )
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  out_text = gr.Markdown()
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  out = gr.DataFrame(
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- headers=["dtype", "Largest Layer", "Total Size", "Training using Adam (Peek vRAM)"],
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  interactive=False,
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  visible=False,
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  )
 
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  stages = {"model": [], "gradients": [], "optimizer": [], "step": []}
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  for i, option in enumerate(data):
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  for stage in stages:
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+ stages[stage].append(option["Training using Adam (Peak vRAM)"][stage])
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+ value = max(data[i]["Training using Adam (Peak vRAM)"].values())
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  if value == -1:
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  value = "N/A"
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  else:
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  value = convert_bytes(value)
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+ data[i]["Training using Adam (Peak vRAM)"] = value
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  if any(value != -1 for value in stages["model"]):
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  out_explain = "## Training using Adam explained:\n"
 
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  )
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  out_text = gr.Markdown()
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  out = gr.DataFrame(
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+ headers=["dtype", "Largest Layer", "Total Size", "Training using Adam (Peak vRAM)"],
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  interactive=False,
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  visible=False,
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  )