| import pandas |
| |
| 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 |
| |
| import matplotlib.pyplot as plt |
| |
| 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, 2), rot=45) |
| axs[idx].set_title(op) |
| axs[idx].set_xlabel("") |
| plt.savefig("perf.png") |
