File size: 2,651 Bytes
0f00646 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 | #!/usr/bin/env python3
import argparse
import json
from pathlib import Path
from typing import List
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import numpy as np
def load_mean_change_rates(json_path: Path) -> List[float]:
with json_path.open("r") as f:
payload = json.load(f)
if isinstance(payload, dict) and isinstance(payload.get("mean_change_rates"), list):
rates = payload["mean_change_rates"]
elif isinstance(payload, dict) and isinstance(payload.get("tokens"), list):
rates = [float(item["mean_change_rate"]) for item in payload["tokens"]]
else:
raise ValueError(f"Cannot find per-token mean change rates in {json_path}")
rates = [float(value) for value in rates if np.isfinite(value)]
if not rates:
raise ValueError(f"No valid mean change rates found in {json_path}")
return rates
def plot_density(
rates: List[float],
output_path: Path,
bins: int,
chunk_idx: int,
) -> None:
fig, ax = plt.subplots(figsize=(8, 5))
ax.hist(rates, bins=bins, density=True, color="#4C78A8", alpha=0.85, edgecolor="white", linewidth=0.5)
ax.set_xlabel("Mean L2 norm change rate")
ax.set_ylabel("Density")
ax.set_title(f"Chunk {chunk_idx} token heterogeneity (n={len(rates)} tokens)")
ax.grid(True, alpha=0.25, linestyle="--", linewidth=0.5)
fig.tight_layout()
output_path.parent.mkdir(parents=True, exist_ok=True)
fig.savefig(output_path, dpi=160)
plt.close(fig)
def main() -> None:
parser = argparse.ArgumentParser(
description="Plot per-token mean L2 norm change-rate density for one chunk."
)
parser.add_argument(
"json_path",
type=Path,
help="Path to token L2 change-rate stats JSON saved by --token_l2_change_rate_stats_path.",
)
parser.add_argument("-o", "--output", type=Path, required=True, help="Output image path.")
parser.add_argument("--bins", type=int, default=50, help="Number of histogram bins.")
parser.add_argument(
"--chunk-idx",
type=int,
default=None,
help="Chunk index for plot title. Defaults to target_generated_chunk_idx in JSON.",
)
args = parser.parse_args()
with args.json_path.open("r") as f:
payload = json.load(f)
chunk_idx = args.chunk_idx
if chunk_idx is None:
chunk_idx = int(payload.get("target_generated_chunk_idx", 0))
rates = load_mean_change_rates(args.json_path)
plot_density(rates, args.output, bins=args.bins, chunk_idx=chunk_idx)
print(f"Saved density plot to {args.output}")
if __name__ == "__main__":
main()
|