File: process_scorecard.py

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pytorch 1.13.1%2Bdfsg-4
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import pandas
import matplotlib.pyplot as plt

df = pandas.read_csv("perf.csv")

ops = pandas.unique(df["operator"])
nops = len(ops)
pivot_op_shape = df.pivot_table(values="time", index=["operator", "shape"], columns=["fuser"])
pivot_speedups = (pivot_op_shape.T / pivot_op_shape["eager"]).T

plt.rcParams["figure.figsize"] = (20, 100)
fig, axs = plt.subplots(nops)
plt.subplots_adjust(hspace=0.5)
for idx, op in enumerate(ops):
    op_speedups = pivot_speedups.T[op].T
    op_speedups.plot(ax=axs[idx], kind="bar", ylim=(0, 5), rot=45)
    axs[idx].set_title(op)
    axs[idx].set_xlabel("")
plt.savefig("scorecard.svg")