From 66e0d8b9fd4d0f7a2231d689c055e26fdf1cf04a Mon Sep 17 00:00:00 2001
From: YurenHao0426 <blackhao0426@gmail.com>
Date: Sat, 13 Jun 2026 12:35:36 -0500
Subject: rrm workspace: TRM/HRM/SRM code, Maze dataset, dynamical-analysis
 pipeline

Curated export for clone-and-run Maze training (2x A6000) + diagnostics.
trm/hrm pretrain.py carry trajectory-augmentation code (backward-compatible).
Heavy artifacts (checkpoints/wandb/npz) gitignored; see PROVENANCE.md.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
---
 research/flossing/engelken_python/gpu_smoke.json | 71 ++++++++++++++++++++++++
 1 file changed, 71 insertions(+)
 create mode 100644 research/flossing/engelken_python/gpu_smoke.json

(limited to 'research/flossing/engelken_python/gpu_smoke.json')

diff --git a/research/flossing/engelken_python/gpu_smoke.json b/research/flossing/engelken_python/gpu_smoke.json
new file mode 100644
index 0000000..2b4b298
--- /dev/null
+++ b/research/flossing/engelken_python/gpu_smoke.json
@@ -0,0 +1,71 @@
+{
+  "config": {
+    "hidden_size": 16,
+    "train_epochs": 2,
+    "inter_period": 100,
+    "inter_epochs": 0,
+    "pre_epochs": 1,
+    "max_inter_episodes": 0,
+    "batch_size": 4,
+    "input_dim": 1,
+    "train_steps": 40,
+    "lyap_steps": 24,
+    "floss_input_steps": 40,
+    "seed_ic": 1,
+    "seed_input": 1,
+    "seed_net": 1,
+    "seed_ons": 1,
+    "lr": 0.001,
+    "beta1": 0.9,
+    "beta2": 0.999,
+    "init_type": 1,
+    "recurrent_gain": 1.0,
+    "recurrent_mean_gain": 0.0,
+    "input_scale": 1.0,
+    "delay": 4,
+    "ws_std": 1.0,
+    "ws_mean": 0.0,
+    "wr_std": 1.0,
+    "wr_mean": 0.0,
+    "b_std": 0.1,
+    "b_mean": 0.0,
+    "n_lyap": 4,
+    "task": -1,
+    "lyap_target": 0.0,
+    "eval_every": 1,
+    "eval_batches": 1,
+    "log_every_floss": 1,
+    "device": "cuda",
+    "out": "research/flossing/engelken_python/gpu_smoke.json"
+  },
+  "evals": [
+    {
+      "epoch": 1,
+      "train_loss": 0.936610221862793,
+      "train_accuracy": 0.5378787878787878,
+      "eval_loss": 0.8679313659667969,
+      "eval_accuracy": 0.5151515151515151,
+      "elapsed": 1.3251755237579346
+    },
+    {
+      "epoch": 2,
+      "train_loss": 1.0361249446868896,
+      "train_accuracy": 0.4318181818181818,
+      "eval_loss": 0.9058582782745361,
+      "eval_accuracy": 0.49242424242424243,
+      "elapsed": 1.3534562587738037
+    }
+  ],
+  "floss": [
+    {
+      "epoch": 1,
+      "kind": "pre",
+      "floss_step": 1,
+      "loss": 0.12374763190746307,
+      "lambda_mean": -0.31238266825675964,
+      "lambda_1": -0.08050862699747086,
+      "elapsed": 1.2431800365447998
+    }
+  ],
+  "task": []
+}
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