| |
| import argparse |
| from pathlib import Path |
|
|
| import matplotlib |
|
|
| matplotlib.use("Agg") |
| import matplotlib.pyplot as plt |
| import torch |
|
|
|
|
| def main(): |
| parser = argparse.ArgumentParser(description="Visualize matched token change-rate curves.") |
| parser.add_argument("input", help="Path to token_dynamics_*.pt artifact.") |
| parser.add_argument("--output-dir", default=None) |
| parser.add_argument("--stride", type=int, default=16, help="Plot every N-th noise token.") |
| parser.add_argument("--max-pairs", type=int, default=32, help="Maximum number of pair plots.") |
| args = parser.parse_args() |
|
|
| artifact = torch.load(args.input, map_location="cpu") |
| output_dir = Path(args.output_dir or Path(args.input).parent) |
| output_dir.mkdir(parents=True, exist_ok=True) |
| stem = Path(args.input).stem |
|
|
| match_indices = artifact["match_indices"].long() |
| history_rates = artifact["history_change_rates"].float() |
| noise_rates = artifact["noise_change_rates"].float() |
| grid_h, grid_w = artifact["grid"] |
| step_indices = artifact.get("step_indices", list(range(history_rates.shape[0]))) |
| timesteps = artifact.get("timesteps", step_indices) |
|
|
| if history_rates.numel() == 0 or noise_rates.numel() == 0: |
| raise RuntimeError("Artifact has no change-rate records.") |
|
|
| x = list(timesteps) |
| plotted = 0 |
| for noise_idx in range(match_indices.numel()): |
| if noise_idx % args.stride != 0: |
| continue |
| if plotted >= args.max_pairs: |
| break |
|
|
| hist_idx = int(match_indices[noise_idx].item()) |
| noise_y = noise_idx // grid_w |
| noise_x = noise_idx % grid_w |
| hist_y = hist_idx // grid_w |
| hist_x = hist_idx % grid_w |
|
|
| fig, ax = plt.subplots(figsize=(8, 4.5), dpi=160) |
| ax.plot(x, history_rates[:, hist_idx].numpy(), label=f"history ({hist_y},{hist_x})", linewidth=2) |
| ax.plot(x, noise_rates[:, noise_idx].numpy(), label=f"noise ({noise_y},{noise_x})", linewidth=2) |
| ax.set_xlabel("denoise step / timestep") |
| ax.set_ylabel("token change rate") |
| hist_src = artifact.get("history_source_chunk") |
| hist_src_frame = artifact.get("history_source_frame") |
| src_note = "" |
| if hist_src is not None and hist_src_frame is not None: |
| src_note = f"\nhistory rates: chunk {hist_src} frame {hist_src_frame}" |
| ax.set_title( |
| f"matched pair: noise ({noise_y},{noise_x}) -> history ({hist_y},{hist_x}){src_note}" |
| ) |
| ax.grid(True, alpha=0.3) |
| ax.legend() |
| fig.tight_layout() |
| out = output_dir / f"{stem}_pair_noise{noise_y}_{noise_x}_hist{hist_y}_{hist_x}.png" |
| fig.savefig(out) |
| plt.close(fig) |
| plotted += 1 |
|
|
| summary_fig, ax = plt.subplots(figsize=(9, 5), dpi=160) |
| mean_history = history_rates.mean(dim=1).numpy() |
| mean_noise = noise_rates.mean(dim=1).numpy() |
| ax.plot(x, mean_history, label="history mean", linewidth=2) |
| ax.plot(x, mean_noise, label="noise mean", linewidth=2) |
| ax.set_xlabel("denoise step / timestep") |
| ax.set_ylabel("mean token change rate") |
| ax.set_title("mean change rate over all tokens") |
| ax.grid(True, alpha=0.3) |
| ax.legend() |
| summary_fig.tight_layout() |
| summary_path = output_dir / f"{stem}_mean_summary.png" |
| summary_fig.savefig(summary_path) |
| plt.close(summary_fig) |
|
|
| print(f"Saved {plotted} pair plots to {output_dir}") |
| print(f"Saved summary: {summary_path}") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
