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-rw-r--r--experiments/mirror_causal_capture_screen.py54
1 files changed, 54 insertions, 0 deletions
diff --git a/experiments/mirror_causal_capture_screen.py b/experiments/mirror_causal_capture_screen.py
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+++ b/experiments/mirror_causal_capture_screen.py
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+#!/usr/bin/env python3
+"""Run a shard of the frozen normalized response-mirror capture screen."""
+import argparse
+import os
+import subprocess
+import sys
+
+
+def main():
+ parser = argparse.ArgumentParser()
+ parser.add_argument("--device", default="cuda")
+ parser.add_argument("--shard_index", type=int, default=0)
+ parser.add_argument("--num_shards", type=int, default=1)
+ parser.add_argument("--dry_run", action="store_true")
+ args = parser.parse_args()
+ if not 0 <= args.shard_index < args.num_shards:
+ raise ValueError("invalid shard index")
+ common = [
+ sys.executable, "experiments/conv_run.py", "--device", args.device,
+ "--depth", "20", "--width", "16", "--seed", "0",
+ "--loader_seed", "0", "--batch_size", "128", "--epochs", "0",
+ "--train_limit", "10000", "--val_examples", "5000",
+ "--split_seed", "2027", "--eval_split", "validation",
+ "--eval_every", "0", "--augment_train", "1", "--lr", "0.1",
+ "--output_lr", "0.1", "--lr_schedule", "constant",
+ "--warmup_epochs", "0", "--momentum", "0.9",
+ "--weight_decay", "1e-4", "--normalization", "batchnorm",
+ "--a_scale", "1", "--alignment_probe", "64",
+ "--mirror_batch_size", "1", "--mirror_noise_std", "1",
+ "--mirror_seed", "3000",
+ ]
+ jobs = [("fixed_hfa", common + [
+ "--mode", "hfa", "--out",
+ "results/mirror_causal_capture/fixed_hfa.json",
+ ])]
+ for rate in (0.03, 0.1, 0.3):
+ tag = f"wm_etaM{rate}"
+ jobs.append((tag, common + [
+ "--mode", "wm", "--mirror_eta", str(rate),
+ "--mirror_warmup_steps", "20", "--out",
+ f"results/mirror_causal_capture/{tag}.json",
+ ]))
+ os.makedirs("results/mirror_causal_capture", exist_ok=True)
+ for index, (tag, command) in enumerate(jobs):
+ if index % args.num_shards != args.shard_index:
+ continue
+ print(tag, " ".join(command), flush=True)
+ if not args.dry_run:
+ subprocess.run(command, check=True)
+
+
+if __name__ == "__main__":
+ main()
+