rrm workspace: TRM/HRM/SRM code, Maze dataset, dynamical-analysis pipelineHEADmain

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>

1 files changed, 74 insertions, 0 deletions

diff --git a/research/flossing/launch_engelken_python_official_queue.sh b/research/flossing/launch_engelken_python_official_queue.sh
new file mode 100755
index 0000000..d1b3faf
--- /dev/null
+++ b/research/flossing/launch_engelken_python_official_queue.sh
@@ -0,0 +1,74 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+cd /home/yurenh2/rrm
+
+PY="/home/yurenh2/miniconda3/envs/rrm/bin/python"
+SCRIPT="research/flossing/engelken_python_flossing.py"
+OUT_DIR="research/flossing/engelken_python"
+mkdir -p "${OUT_DIR}"
+
+common=(
+  --hidden-size 80
+  --n-lyap 40
+  --train-epochs 1000
+  --inter-period 100
+  --inter-epochs 100
+  --batch-size 16
+  --input-dim 1
+  --train-steps 300
+  --lyap-steps 55
+  --floss-input-steps 300
+  --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 10
+  --ws-std 1.0
+  --ws-mean 0.0
+  --wr-std 1.0
+  --wr-mean 0.0
+  --b-std 0.1
+  --b-mean 0.0
+  --task -1
+  --lyap-target 0.0
+  --eval-every 100
+  --eval-batches 4
+  --log-every-floss 25
+  --device cuda
+)
+
+run_case() {
+  local gpu="$1"
+  local name="$2"
+  shift 2
+  CUDA_VISIBLE_DEVICES="${gpu}" PYTHONUNBUFFERED=1 "${PY}" "${SCRIPT}" \
+    "${common[@]}" "$@" \
+    --out "${OUT_DIR}/${name}.json" \
+    > "${OUT_DIR}/${name}.log" 2>&1
+}
+
+(
+  run_case 2 "official_py_baseline_no_floss_N80_k40_E1000" \
+    --pre-epochs 0 --max-inter-episodes 0
+  run_case 2 "official_py_pre_inter_N80_k40_E1000" \
+    --pre-epochs 100 --max-inter-episodes 2
+) &
+echo $! > "${OUT_DIR}/gpu2_python_queue.pid"
+
+(
+  run_case 3 "official_py_prefloss_N80_k40_E1000" \
+    --pre-epochs 100 --max-inter-episodes 0
+) &
+echo $! > "${OUT_DIR}/gpu3_python_queue.pid"
+
+echo "queued Engelken Python official-analogue runs"
+echo "gpu2 queue pid: $(cat "${OUT_DIR}/gpu2_python_queue.pid")"
+echo "gpu3 queue pid: $(cat "${OUT_DIR}/gpu3_python_queue.pid")"