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Plot comparison of optim_tiled_decode vs optim_tiled_decode_cached_stats.
Usage:
python eval_code/plot_tiled_decode_results.py \
--csv eval_code/tiled_decode_results/results.csv \
--output eval_code/tiled_decode_results/comparison_plot.png
"""
import argparse
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import numpy as np
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--csv", type=str, default="eval_code/tiled_decode_results/results.csv")
parser.add_argument("--output", type=str, default="eval_code/tiled_decode_results/comparison_plot.png")
args = parser.parse_args()
df = pd.read_csv(args.csv)
ovf = df["overlap_factor"].values
x = np.arange(len(ovf))
x_labels = [str(v) for v in ovf]
color_std = "#4C72B0"
color_cs = "#DD8452"
fig, ax = plt.subplots(figsize=(5, 4))
ax.plot(ovf, df["std_overlap_mse"], "o-", color=color_std, linewidth=2,
markersize=7, label="Standard VAE Decode")
ax.plot(ovf, df["cs_overlap_mse"], "s-", color=color_cs, linewidth=2,
markersize=7, label="Sprase VAE Decode (ours)")
ax.set_xlabel("Overlap Factor", fontsize=12)
ax.set_ylabel("MSE (log scale)", fontsize=12)
ax.set_yscale("log")
ax.set_yticks([5e-4, 1e-3, 8e-3])
ax.yaxis.set_major_formatter(ticker.FuncFormatter(lambda v, _: f"{v:.0e}"))
ax.yaxis.set_minor_locator(ticker.NullLocator())
ax.legend(fontsize=10)
ax.grid(True, alpha=0.3)
ax.tick_params(labelsize=10)
fig.tight_layout()
fig.savefig(args.output, dpi=300, bbox_inches="tight")
print(f"Plot saved to {args.output}")
# ── Print reduction ratio ─────────────────────────────────────────────
print("\nOverlap MSE reduction (cached_stats vs standard):")
for _, row in df.iterrows():
ratio = row["cs_overlap_mse"] / row["std_overlap_mse"]
reduction = (1 - ratio) * 100
print(f" overlap_factor={row['overlap_factor']:.5f} "
f"std={row['std_overlap_mse']:.6f} "
f"cs={row['cs_overlap_mse']:.6f} "
f"reduction={reduction:.1f}%")
if __name__ == "__main__":
main()
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