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- add script to convert resnet best results to latex table - formatting to make ruff happy (cherry picked from commit f69f725)
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"""Simple script to make a latex table from resnet results""" | ||
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import pandas as pd | ||
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df = pd.read_csv("results/resnet101_only/best_results-conv-cpu-usage_stats.csv") | ||
df = df.set_index("model") | ||
df = df.drop(columns=["Scaled M", "Scaled T"]) | ||
df = df.drop("memsave_resnet101_conv+relu+bn") | ||
df = df[df["case"] != "SurgicalLast"] | ||
df = df[df["case"] != "Conv"] | ||
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mem_div = df[df["case"] == "All"].loc["resnet101", "Memory Usage (GB)"] | ||
time_div = df[df["case"] == "All"].loc["resnet101", "Time Taken (s)"] | ||
df["Scaled M"] = df["Memory Usage (GB)"] / mem_div | ||
df["Scaled T"] = df["Time Taken (s)"] / time_div | ||
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df["Memory [GiB]"] = df.apply( | ||
lambda x: f"{x['Memory Usage (GB)']:.2f} ({x['Scaled M']:.2f})", axis=1 | ||
) | ||
df["Time [s]"] = df.apply( | ||
lambda x: f"{x['Time Taken (s)']:.2f} ({x['Scaled T']:.2f})", axis=1 | ||
) | ||
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df = df.drop(columns=["Scaled M", "Scaled T", "Memory Usage (GB)", "Time Taken (s)"]) | ||
df_p = df.pivot_table( | ||
index="model", columns="case", values=df.columns[1:], aggfunc=lambda x: x | ||
) | ||
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labels = { | ||
"resnet101": "Default ResNet-101", | ||
"memsave_resnet101_conv": "+ swap Convolution", | ||
"memsave_resnet101_conv_full": "+ swap BatchNorm, ReLU", | ||
} | ||
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df_p = df_p.rename(index=labels) | ||
df_p = df_p.sort_index(ascending=False) | ||
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print(df_p["Memory [GiB]"].to_latex()) | ||
print(df_p["Time [s]"].to_latex()) |