1import pandas 2 3 4df = pandas.read_csv("perf.csv") 5 6ops = pandas.unique(df["operator"]) 7nops = len(ops) 8pivot_op_shape = df.pivot_table( 9 values="time", index=["operator", "shape"], columns=["fuser"] 10) 11pivot_speedups = (pivot_op_shape.T / pivot_op_shape["eager"]).T 12 13import matplotlib.pyplot as plt 14 15 16plt.rcParams["figure.figsize"] = (20, 100) 17fig, axs = plt.subplots(nops) 18plt.subplots_adjust(hspace=0.5) 19for idx, op in enumerate(ops): 20 op_speedups = pivot_speedups.T[op].T 21 op_speedups.plot(ax=axs[idx], kind="bar", ylim=(0, 2), rot=45) 22 axs[idx].set_title(op) 23 axs[idx].set_xlabel("") 24plt.savefig("perf.png") 25