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Upload 6 files
Browse files- README.md +5 -5
- app.py +76 -0
- gpus.csv +45 -0
- history.pkl.gz +3 -0
- requirements.txt +1 -0
README.md
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---
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title: PLUS Lab GPUs
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sdk: gradio
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sdk_version: 5.
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: PLUS Lab GPUs
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emoji: ➕
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 5.13.1
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import gradio as gr
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import pandas as pd
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import plotly.express as px
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def split_multi_users(dfs):
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df = dfs.copy()
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df["usernames"] = df["username"].apply(lambda x: x.split(", "))
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df["count"] = 1
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new_df = []
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for row in df.to_dict(orient="records"):
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gpu_users_num = len(row["usernames"])
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for username in row["usernames"]:
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new_row = row.copy()
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new_row["count"] = 1 / gpu_users_num
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new_row["username"] = username
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new_df.append(new_row)
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df = pd.DataFrame(new_df)
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return df
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def plot_now():
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dfs = pd.read_csv("hf://spaces/mohsenfayyaz/PLUS_Lab_GPUs/gpus.csv")
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dfs = dfs.drop(columns=["Unnamed: 0"])
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dfs = dfs.fillna("FREE")
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dfs_plot = split_multi_users(dfs)
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fig = px.bar(
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dfs_plot, x="count", y="server", color="username",
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title=f"Last Updated {min(dfs['timestamp'])}",
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color_discrete_map={
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"FREE": "black",
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},
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text=dfs_plot['username'].astype(str) + "<br>" + dfs_plot['device'].astype(str),
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)
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fig.update_layout(
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yaxis={'categoryorder': 'array', 'categoryarray': dfs_plot["server"].unique()[::-1]},
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barcornerradius=50,
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)
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fig.update_traces(textposition='inside', insidetextanchor='middle')
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return fig, dfs
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def plot_history():
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dfh = pd.read_pickle("hf://spaces/mohsenfayyaz/PLUS_Lab_GPUs/history.pkl.gz", )
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dfh = dfh.fillna("FREE")
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dfh = split_multi_users(dfh)
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dfh = dfh[["polling_timestamp", "username", "count"]]
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dfh = dfh.groupby(["polling_timestamp", "username"]).sum()
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dfh = dfh.reset_index()
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dfh = dfh.sort_values(by=["polling_timestamp", "count"], ascending=False)
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fig = px.area(dfh, x="polling_timestamp", y="count", color='username', color_discrete_map={"FREE": "black",}, markers=True)
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return fig, dfh
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def plot_figs():
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fig_now, dfn = plot_now()
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try:
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fig_history, dfh = plot_history()
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except Exception as e:
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print(e)
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fig_history = None
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dfh = None
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return fig_now, dfn, fig_history
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demo = gr.Interface(
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fn=plot_figs,
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inputs = [],
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outputs = [
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gr.Plot(label="GPU Status", elem_classes="plotcss"),
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gr.Dataframe(label="GPU Status Details"),
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gr.Plot(label="History", elem_classes="plotcss"),
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],
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live=True,
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flagging_options=[],
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css=".plotcss {max-width: 820px !important;}"
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)
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if __name__ == "__main__":
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demo.launch(debug=True)
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gpus.csv
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,timestamp,server,name,device,utilization.gpu [%],utilization.memory [%],username
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0,2025/01/30 15:52:03.165,pluslab-a100.cs.ucla.edu,NVIDIA A100-SXM4-40GB,0,100 %,8 %,fabricehc
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1,2025/01/30 15:52:03.189,pluslab-a100.cs.ucla.edu,NVIDIA A100-SXM4-40GB,1,0 %,0 %,fabricehc
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2,2025/01/30 15:52:03.210,pluslab-a100.cs.ucla.edu,NVIDIA A100-SXM4-40GB,2,0 %,0 %,fabricehc
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3,2025/01/30 15:52:03.226,pluslab-a100.cs.ucla.edu,NVIDIA A100-SXM4-40GB,3,0 %,0 %,fabricehc
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0,2025/01/30 15:52:04.328,pluslab01-a100.cs.ucla.edu,NVIDIA A100 80GB PCIe,0,100 %,32 %,lucasbandarkar
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1,2025/01/30 15:52:04.343,pluslab01-a100.cs.ucla.edu,NVIDIA A100 80GB PCIe,1,1 %,0 %,lucasbandarkar
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2,2025/01/30 15:52:04.355,pluslab01-a100.cs.ucla.edu,NVIDIA A100 80GB PCIe,2,92 %,30 %,tparekh
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3,2025/01/30 15:52:04.363,pluslab01-a100.cs.ucla.edu,NVIDIA A100 80GB PCIe,3,100 %,42 %,lucasbandarkar
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4,2025/01/30 15:52:04.372,pluslab01-a100.cs.ucla.edu,NVIDIA A100 80GB PCIe,4,99 %,44 %,hzhang19
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5,2025/01/30 15:52:04.382,pluslab01-a100.cs.ucla.edu,NVIDIA A100 80GB PCIe,5,99 %,46 %,hzhang19
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6,2025/01/30 15:52:04.390,pluslab01-a100.cs.ucla.edu,NVIDIA A100 80GB PCIe,6,99 %,37 %,hzhang19
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7,2025/01/30 15:52:04.397,pluslab01-a100.cs.ucla.edu,NVIDIA A100 80GB PCIe,7,99 %,34 %,hzhang19
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0,2025/01/30 15:52:05.536,pluslab01-h100.cs.ucla.edu,NVIDIA H100 80GB HBM3,0,89 %,39 %,sidilu
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1,2025/01/30 15:52:05.558,pluslab01-h100.cs.ucla.edu,NVIDIA H100 80GB HBM3,1,97 %,42 %,sidilu
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2,2025/01/30 15:52:05.574,pluslab01-h100.cs.ucla.edu,NVIDIA H100 80GB HBM3,2,98 %,39 %,sidilu
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3,2025/01/30 15:52:05.589,pluslab01-h100.cs.ucla.edu,NVIDIA H100 80GB HBM3,3,100 %,44 %,sidilu
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4,2025/01/30 15:52:05.605,pluslab01-h100.cs.ucla.edu,NVIDIA H100 80GB HBM3,4,100 %,44 %,sidilu
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5,2025/01/30 15:52:05.623,pluslab01-h100.cs.ucla.edu,NVIDIA H100 80GB HBM3,5,98 %,39 %,sidilu
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6,2025/01/30 15:52:05.639,pluslab01-h100.cs.ucla.edu,NVIDIA H100 80GB HBM3,6,98 %,38 %,sidilu
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7,2025/01/30 15:52:05.655,pluslab01-h100.cs.ucla.edu,NVIDIA H100 80GB HBM3,7,100 %,43 %,sidilu
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0,2025/01/30 15:52:07.066,pluslab-a6000.cs.ucla.edu,NVIDIA RTX A6000,0,12 %,3 %,fabricehc
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1,2025/01/30 15:52:07.072,pluslab-a6000.cs.ucla.edu,NVIDIA RTX A6000,1,0 %,0 %,
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2,2025/01/30 15:52:07.077,pluslab-a6000.cs.ucla.edu,NVIDIA RTX A6000,2,0 %,0 %,tparekh
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3,2025/01/30 15:52:07.082,pluslab-a6000.cs.ucla.edu,NVIDIA RTX A6000,3,87 %,40 %,tparekh
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4,2025/01/30 15:52:07.086,pluslab-a6000.cs.ucla.edu,NVIDIA RTX A6000,4,97 %,97 %,meithnav
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5,2025/01/30 15:52:07.092,pluslab-a6000.cs.ucla.edu,NVIDIA RTX A6000,5,70 %,38 %,"tparekh, meithnav"
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6,2025/01/30 15:52:07.096,pluslab-a6000.cs.ucla.edu,NVIDIA RTX A6000,6,100 %,86 %,"tparekh, meithnav"
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7,2025/01/30 15:52:07.101,pluslab-a6000.cs.ucla.edu,NVIDIA RTX A6000,7,96 %,96 %,"tparekh, meithnav"
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0,2025/01/30 15:52:08.238,pluslab01-a6000.cs.ucla.edu,NVIDIA RTX A6000,0,95 %,86 %,yunzhi
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1,2025/01/30 15:52:08.244,pluslab01-a6000.cs.ucla.edu,NVIDIA RTX A6000,1,83 %,43 %,tparekh
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2,2025/01/30 15:52:08.247,pluslab01-a6000.cs.ucla.edu,NVIDIA RTX A6000,2,80 %,46 %,tparekh
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3,2025/01/30 15:52:08.249,pluslab01-a6000.cs.ucla.edu,NVIDIA RTX A6000,3,0 %,0 %,tparekh
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4,2025/01/30 15:52:08.253,pluslab01-a6000.cs.ucla.edu,NVIDIA RTX A6000,4,0 %,0 %,
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5,2025/01/30 15:52:08.257,pluslab01-a6000.cs.ucla.edu,NVIDIA RTX A6000,5,94 %,96 %,yunzhi
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6,2025/01/30 15:52:08.261,pluslab01-a6000.cs.ucla.edu,NVIDIA RTX A6000,6,0 %,0 %,
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7,2025/01/30 15:52:08.265,pluslab01-a6000.cs.ucla.edu,NVIDIA RTX A6000,7,0 %,0 %,lucasbandarkar
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0,2025/01/30 15:52:09.990,pluslab02-a6000.cs.ucla.edu,NVIDIA RTX A6000,0,95 %,95 %,meithnav
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1,2025/01/30 15:52:10.013,pluslab02-a6000.cs.ucla.edu,NVIDIA RTX A6000,1,97 %,100 %,meithnav
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2,2025/01/30 15:52:10.030,pluslab02-a6000.cs.ucla.edu,NVIDIA RTX A6000,2,97 %,100 %,meithnav
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3,2025/01/30 15:52:10.048,pluslab02-a6000.cs.ucla.edu,NVIDIA RTX A6000,3,98 %,100 %,meithnav
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4,2025/01/30 15:52:10.070,pluslab02-a6000.cs.ucla.edu,NVIDIA RTX A6000,4,99 %,100 %,hzhang19
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5,2025/01/30 15:52:10.089,pluslab02-a6000.cs.ucla.edu,NVIDIA RTX A6000,5,99 %,71 %,"tparekh, hzhang19"
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6,2025/01/30 15:52:10.117,pluslab02-a6000.cs.ucla.edu,NVIDIA RTX A6000,6,25 %,9 %,"tparekh, hzhang19"
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7,2025/01/30 15:52:10.133,pluslab02-a6000.cs.ucla.edu,NVIDIA RTX A6000,7,71 %,39 %,tparekh
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history.pkl.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:51419de7243376d764d9934d8f886c6fa6cd0f240e32f5b7626da757a1da0b45
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size 213660
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requirements.txt
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plotly
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