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, 92 insertions, 0 deletions

diff --git a/research/flossing/launch_trajectory_perturb_queue.sh b/research/flossing/launch_trajectory_perturb_queue.sh
new file mode 100755
index 0000000..ba681ed
--- /dev/null
+++ b/research/flossing/launch_trajectory_perturb_queue.sh
@@ -0,0 +1,92 @@
+#!/usr/bin/env bash
+set -eo pipefail
+
+MODEL="${1:-hrm}"
+GPU="${2:-0}"
+
+source /home/yurenh2/miniconda3/etc/profile.d/conda.sh
+conda activate rrm
+cd /home/yurenh2/rrm/research/flossing
+
+HRM_ROOT="/home/yurenh2/rrm/hrm/checkpoints/Sudoku-extreme-1k-aug-1000 ACT-torch/HierarchicalReasoningModel_ACTV1 righteous-python"
+TRM_ROOT="/home/yurenh2/rrm/trm/checkpoints/Sudoku-extreme-1k-aug-1000-ACT-torch/pretrain_mlp_t_sudoku_singleGPU"
+
+run_one() {
+  local tag="$1"
+  shift
+  echo "[$(date -Is)] START ${tag}"
+  CUDA_VISIBLE_DEVICES="${GPU}" python step9_trajectory_perturb_train.py "$@" \
+    > "${tag}.log" 2>&1
+  echo "[$(date -Is)] DONE ${tag}"
+}
+
+if [[ "${MODEL}" == "hrm" ]]; then
+  run_one step9_A_hrm_single_perturb_sigma1e-3_26040_10k \
+    --model hrm \
+    --ckpt-root "${HRM_ROOT}" \
+    --ckpt-name step_26040 \
+    --mode single_perturbed_ce \
+    --train-steps 10000 \
+    --batch-size 8 \
+    --lr 1e-5 \
+    --noise-std 0.001 \
+    --perturb both \
+    --seed 42 \
+    --eval-every 1000 \
+    --eval-n 512 \
+    --eval-batch-size 32 \
+    --out step9_A_hrm_single_perturb_sigma1e-3_26040_10k.json
+
+  run_one step9_B_hrm_multi4_perturb_sigma1e-3_26040_10k \
+    --model hrm \
+    --ckpt-root "${HRM_ROOT}" \
+    --ckpt-name step_26040 \
+    --mode multi_perturbed_ce \
+    --n-trajectories 4 \
+    --train-steps 10000 \
+    --batch-size 8 \
+    --lr 1e-5 \
+    --noise-std 0.001 \
+    --perturb both \
+    --seed 42 \
+    --eval-every 1000 \
+    --eval-n 512 \
+    --eval-batch-size 32 \
+    --out step9_B_hrm_multi4_perturb_sigma1e-3_26040_10k.json
+elif [[ "${MODEL}" == "trm" ]]; then
+  run_one step9_C_trm_single_perturb_sigma1e-3_26041_batch4_10k \
+    --model trm \
+    --ckpt-root "${TRM_ROOT}" \
+    --ckpt-name step_26041 \
+    --mode single_perturbed_ce \
+    --train-steps 10000 \
+    --batch-size 4 \
+    --lr 1e-5 \
+    --noise-std 0.001 \
+    --perturb both \
+    --seed 42 \
+    --eval-every 1000 \
+    --eval-n 512 \
+    --eval-batch-size 32 \
+    --out step9_C_trm_single_perturb_sigma1e-3_26041_batch4_10k.json
+
+  run_one step9_D_trm_multi4_perturb_sigma1e-3_26041_batch4_10k \
+    --model trm \
+    --ckpt-root "${TRM_ROOT}" \
+    --ckpt-name step_26041 \
+    --mode multi_perturbed_ce \
+    --n-trajectories 4 \
+    --train-steps 10000 \
+    --batch-size 4 \
+    --lr 1e-5 \
+    --noise-std 0.001 \
+    --perturb both \
+    --seed 42 \
+    --eval-every 1000 \
+    --eval-n 512 \
+    --eval-batch-size 32 \
+    --out step9_D_trm_multi4_perturb_sigma1e-3_26041_batch4_10k.json
+else
+  echo "unknown model: ${MODEL}" >&2
+  exit 2
+fi