netlist_to_layout_v1: publish routerfix reduced-battery artifacts

netlist_to_layout_v1/README.md

@@ -36,10 +36,15 @@ PYTHONPATH=. torchrun --standalone --nproc_per_node=4 train.py --run-name v1-ful
 Detached training:
 
 ```bash
-bash scripts/launch_train_detached.sh v1-full
+MAX_STEPS=16000 bash scripts/launch_train_detached.sh v1-full
 bash scripts/monitor_training.sh v1-full
 ```
 
+`scripts/launch_train_detached.sh` now defaults to the repaired overlay at
+`derived/cgdsl/20260307-081439-fix-open-netlistify-ams-overlay` and the exact cache at
+`netlist_to_layout_v1/cache_overlay_20260307_exact`, matching the async launcher and handoff script.
+Pass `MAX_STEPS` explicitly for resumes instead of relying on launcher or config defaults.
+
 Async 3-train / 1-eval launch from an existing checkpoint:
 
 ```bash
@@ -70,3 +75,29 @@ The restart-oriented reproduction snapshot for the repaired-overlay rerun is pub
 - `repro_snapshots/netlist_to_layout_v1_overlay_exact_3train1eval_914val_8000steps_fullmachine_posteval_2026-03-08`
 
 Use that directory when you want the exact code snapshot, exact restart cache, exact repaired-overlay source-root hashes, and the run recipe needed to reproduce or resume the cleaned 8k rerun on another machine.
+
+## 2026-03-10 routerfix reduced battery
+
+The reduced 384-sample routerfix A/B on the stage-B step-8000 checkpoint is published under:
+
+- `netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3`
+- `netlist_to_layout_v1/runs/routerfix-baseline-oracle-layout384-rbm0e2t3`
+- `netlist_to_layout_v1/runs/routerfix-patched-oracle-layout384-rbm0e2t3`
+- `netlist_to_layout_v1/runs/routerfix-20260310-summary`
+
+Authoritative reduced-battery results:
+
+- Clean `normal384`: `39 / 384` accepted, `250` `router_fail`, `95` `cp_sat_fail`
+- Clean `oracle_layout384`: `30 / 384` accepted, `354` `router_fail`
+- Patched `oracle_layout384`: `24 / 384` accepted, `359` `router_fail`, `1` `verify_fail`
+
+This failed the promotion gate. The router patch regressed oracle-layout, so the `914` sweep was not run and no further training should be launched from this pass.
+
+The next work item is representational, not more router heuristics: explicit non-connecting crossovers / bridge semantics or another routing layer.
+
+Two exploratory patched reduced runs were started and then stopped after the negative oracle-layout result:
+
+- `netlist_to_layout_v1/runs/routerfix-patched-normal384-rbm0e2t3`
+- `netlist_to_layout_v1/runs/routerfix-patched-oracle-candidate384-rbm0e2t3`
+
+Their logs and partial state files are kept for completeness, but they are not authoritative for promotion decisions.

netlist_to_layout_v1/full_machine_eval.py

@@ -123,6 +123,7 @@ def merge_aggregate_metrics(items: list[dict[str, Any]]) -> dict[str, Any]:
     overlap_count = sum(int(item.get("overlap_count", 0)) for item in items)
     overlap_pairs_total = sum(int(item.get("overlap_pairs_total", 0)) for item in items)
     crossings_total = sum(float(item.get("crossings_total", 0.0)) for item in items)
+    crossings_metric_values = {str(item["crossings_metric"]) for item in items if item.get("crossings_metric")}
     bends_total = sum(float(item.get("bends_total", 0.0)) for item in items)
     wire_length_total = sum(float(item.get("wire_length_total", 0.0)) for item in items)
     canvas_area_total = sum(float(item.get("canvas_area_total", 0.0)) for item in items)
@@ -154,6 +155,7 @@ def merge_aggregate_metrics(items: list[dict[str, Any]]) -> dict[str, Any]:
         "micro_topology_exact_match_rate": accepted / max(1, total),
         "topology_exact_match_rate": accepted / max(1, total),
         "placement_overlap_rate": placement_overlap_rate,
+        "crossings_metric": crossings_metric_values.pop() if len(crossings_metric_values) == 1 else None,
         "mean_crossings": mean_crossings,
         "mean_bends": mean_bends,
         "mean_manhattan_wire_length": mean_wire_length,

netlist_to_layout_v1/layout_v1/eval.py

@@ -538,6 +538,7 @@ def predict_sample(
             if metrics:
                 attempt_debug["route_metrics"] = {
                     "overlap_pairs": metrics.get("overlap_pairs"),
+                    "crossings": metrics.get("crossings"),
                     "bends": metrics.get("bends"),
                     "wire_length": metrics.get("wire_length"),
                     "canvas_area_used": metrics.get("canvas_area_used"),
@@ -588,6 +589,7 @@ def _aggregate_predictions(
     total = len(normalized_predictions)
     accepted_predictions = [prediction for prediction in normalized_predictions if prediction.get("status") == "accepted" and prediction.get("metrics") is not None]
     metrics = [prediction["metrics"] for prediction in accepted_predictions]
+    crossings_metric_values = {str(item["crossings_metric"]) for item in metrics if item.get("crossings_metric")}
     status_counts = Counter(str(prediction.get("status", "missing_result")) for prediction in normalized_predictions)
     failure_reason_counts = {status: count for status, count in status_counts.items() if status != "accepted"}
     diagnostic_counts = Counter()
@@ -641,6 +643,7 @@ def _aggregate_predictions(
         "micro_topology_exact_match_rate": len(accepted_predictions) / max(1, total),
         "topology_exact_match_rate": len(accepted_predictions) / max(1, total),
         "placement_overlap_rate": placement_overlap_rate,
+        "crossings_metric": crossings_metric_values.pop() if len(crossings_metric_values) == 1 else None,
         "mean_crossings": mean_crossings,
         "mean_bends": mean_bends,
         "mean_manhattan_wire_length": mean_wire_length,

netlist_to_layout_v1/layout_v1/router.py

@@ -80,6 +80,42 @@ def _astar(
     return None
 
 
+def _clear_straight_line(
+    blocked_cells: set[tuple[int, int]],
+    start: tuple[int, int],
+    end: tuple[int, int],
+) -> None:
+    if start[0] == end[0]:
+        step = 1 if end[1] >= start[1] else -1
+        for y in range(start[1], end[1] + step, step):
+            blocked_cells.discard((start[0], y))
+        return
+    if start[1] == end[1]:
+        step = 1 if end[0] >= start[0] else -1
+        for x in range(start[0], end[0] + step, step):
+            blocked_cells.discard((x, start[1]))
+        return
+    raise ValueError(f"Expected orthogonal segment, got {start} -> {end}")
+
+
+def _carve_exit_tee(
+    *,
+    blocked_cells: set[tuple[int, int]],
+    exit_cell: tuple[int, int],
+    vertical: bool,
+) -> None:
+    if vertical:
+        for delta in (-1, 0, 1):
+            y = exit_cell[1] + delta
+            if 0 <= y < GRID_SIZE:
+                blocked_cells.discard((exit_cell[0], y))
+        return
+    for delta in (-1, 0, 1):
+        x = exit_cell[0] + delta
+        if 0 <= x < GRID_SIZE:
+            blocked_cells.discard((x, exit_cell[1]))
+
+
 def _extend_pin_escape_corridor(
     *,
     blocked_cells: set[tuple[int, int]],
@@ -90,26 +126,51 @@ def _extend_pin_escape_corridor(
     pin_escape_cells: int,
 ) -> None:
     left, top, right, bottom = reserve_box
-    dx = pin[0] - placement_x
-    dy = pin[1] - placement_y
-    if abs(dx) >= abs(dy):
-        if dx <= 0:
-            start_x = max(0, left - max(0, pin_escape_cells))
-            for x in range(start_x, pin[0] + 1):
-                blocked_cells.discard((x, pin[1]))
-        else:
-            stop_x = min(GRID_SIZE - 1, right + max(0, pin_escape_cells))
-            for x in range(pin[0], stop_x + 1):
-                blocked_cells.discard((x, pin[1]))
-        return
-    if dy <= 0:
-        start_y = max(0, top - max(0, pin_escape_cells))
-        for y in range(start_y, pin[1] + 1):
-            blocked_cells.discard((pin[0], y))
-    else:
-        stop_y = min(GRID_SIZE - 1, bottom + max(0, pin_escape_cells))
-        for y in range(pin[1], stop_y + 1):
-            blocked_cells.discard((pin[0], y))
+    escape = max(0, pin_escape_cells)
+    side_specs = {
+        "left": {
+            "distance": abs(pin[0] - left),
+            "endpoint": (max(0, left - escape), pin[1]),
+            "exit_cell": (max(0, left - 1), pin[1]),
+            "tee_vertical": True,
+            "axis": "horizontal",
+        },
+        "right": {
+            "distance": abs(right - pin[0]),
+            "endpoint": (min(GRID_SIZE - 1, right + escape), pin[1]),
+            "exit_cell": (min(GRID_SIZE - 1, right + 1), pin[1]),
+            "tee_vertical": True,
+            "axis": "horizontal",
+        },
+        "top": {
+            "distance": abs(pin[1] - top),
+            "endpoint": (pin[0], max(0, top - escape)),
+            "exit_cell": (pin[0], max(0, top - 1)),
+            "tee_vertical": False,
+            "axis": "vertical",
+        },
+        "bottom": {
+            "distance": abs(bottom - pin[1]),
+            "endpoint": (pin[0], min(GRID_SIZE - 1, bottom + escape)),
+            "exit_cell": (pin[0], min(GRID_SIZE - 1, bottom + 1)),
+            "tee_vertical": False,
+            "axis": "vertical",
+        },
+    }
+    nearest_distance = min(int(spec["distance"]) for spec in side_specs.values())
+    nearest_sides = [name for name, spec in side_specs.items() if int(spec["distance"]) == nearest_distance]
+    has_corner_tie = any(side_specs[name]["axis"] == "horizontal" for name in nearest_sides) and any(
+        side_specs[name]["axis"] == "vertical" for name in nearest_sides
+    )
+    for side in nearest_sides:
+        spec = side_specs[side]
+        _clear_straight_line(blocked_cells, pin, spec["endpoint"])
+        if has_corner_tie:
+            _carve_exit_tee(
+                blocked_cells=blocked_cells,
+                exit_cell=spec["exit_cell"],
+                vertical=bool(spec["tee_vertical"]),
+            )
 
 
 def _net_sort_key(net: dict[str, Any]) -> tuple[int, int, str]:
@@ -174,6 +235,84 @@ def _route_initial_trunk(
     return tree_cells, remaining, [{"nid": net["nid"], "polyline": polyline}]
 
 
+def _tree_manhattan_distance(pin: tuple[int, int], tree_cells: set[tuple[int, int]]) -> int:
+    return min(abs(pin[0] - cell[0]) + abs(pin[1] - cell[1]) for cell in tree_cells)
+
+
+def _select_attach_candidate(
+    *,
+    remaining: set[tuple[int, int]],
+    tree_cells: set[tuple[int, int]],
+    blocked: set[tuple[int, int]],
+    allowed: set[tuple[int, int]],
+) -> tuple[tuple[int, int] | None, list[tuple[int, int]] | None, dict[str, Any]]:
+    ordered_candidates = sorted(
+        ((_tree_manhattan_distance(pin, tree_cells), pin) for pin in remaining),
+        key=lambda item: (item[0], item[1][0], item[1][1]),
+    )
+    attempted_attach_pins: list[list[int]] = []
+    successful_attach_candidates: list[dict[str, Any]] = []
+    best_pin: tuple[int, int] | None = None
+    best_path: list[tuple[int, int]] | None = None
+    best_path_length: int | None = None
+    best_manhattan_distance = ordered_candidates[0][0] if ordered_candidates else None
+
+    for manhattan_distance, pin in ordered_candidates:
+        if best_path_length is not None and manhattan_distance > best_path_length:
+            break
+        attempted_attach_pins.append([pin[0], pin[1]])
+        path = _astar(pin, tree_cells, blocked=blocked, allowed=allowed)
+        if path is None:
+            continue
+        path_length = max(0, len(path) - 1)
+        successful_attach_candidates.append(
+            {
+                "pin": [pin[0], pin[1]],
+                "manhattan_distance": manhattan_distance,
+                "path_length": path_length,
+            }
+        )
+        if (
+            best_path is None
+            or path_length < best_path_length
+            or (path_length == best_path_length and manhattan_distance < best_manhattan_distance)
+            or (
+                path_length == best_path_length
+                and manhattan_distance == best_manhattan_distance
+                and pin < best_pin
+            )
+        ):
+            best_pin = pin
+            best_path = path
+            best_path_length = path_length
+            best_manhattan_distance = manhattan_distance
+
+    return best_pin, best_path, {
+        "attempted_attach_pins": attempted_attach_pins,
+        "successful_attach_candidates": successful_attach_candidates,
+        "best_attach_manhattan_distance": best_manhattan_distance,
+        "best_attach_path_length": best_path_length,
+        "remaining_pin_count": len(remaining),
+    }
+
+
+def _count_cross_net_cell_overlaps(routed_wires: list[dict[str, Any]]) -> int:
+    occupancy: dict[tuple[int, int], set[str]] = defaultdict(set)
+    for wire in routed_wires:
+        nid = str(wire["nid"])
+        polyline = [tuple(point) for point in wire["polyline"]]
+        for start, end in zip(polyline[:-1], polyline[1:]):
+            if start[0] == end[0]:
+                step = 1 if end[1] >= start[1] else -1
+                for y in range(start[1], end[1] + step, step):
+                    occupancy[(start[0], y)].add(nid)
+            elif start[1] == end[1]:
+                step = 1 if end[0] >= start[0] else -1
+                for x in range(start[0], end[0] + step, step):
+                    occupancy[(x, start[1])].add(nid)
+    return sum(1 for nets in occupancy.values() if len(nets) > 1)
+
+
 def route_layout(
     sample: dict[str, Any],
     placements: list[dict[str, Any]],
@@ -250,16 +389,13 @@ def route_layout(
             tree_cells, remaining, trunk_segments = trunk
             net_segments.extend(trunk_segments)
         while remaining:
-            best_pin = None
-            best_distance = None
-            for pin in remaining:
-                distance = min(abs(pin[0] - cell[0]) + abs(pin[1] - cell[1]) for cell in tree_cells)
-                if best_distance is None or distance < best_distance:
-                    best_distance = distance
-                    best_pin = pin
-            assert best_pin is not None
             blocked = _blocked_for_net(occupancy=occupancy, blocked_cells=blocked_cells, current_nid=net["nid"], pins=pins)
-            path = _astar(best_pin, tree_cells, blocked=blocked, allowed=tree_cells)
+            best_pin, path, attach_debug = _select_attach_candidate(
+                remaining=remaining,
+                tree_cells=tree_cells,
+                blocked=blocked,
+                allowed=tree_cells,
+            )
             if path is None:
                 return (
                     "router_fail",
@@ -276,8 +412,10 @@ def route_layout(
                         "pin_escape_cells": int(pin_escape_cells),
                         "trunk_first_used": trunk_first_used,
                         "trunk_first_min_degree": int(trunk_first_min_degree),
+                        **attach_debug,
                     },
                 )
+            assert best_pin is not None
             polyline = _compress_polyline(path)
             net_segments.append({"nid": net["nid"], "polyline": polyline})
             for cell in path:
@@ -429,7 +567,8 @@ def evaluate_routed_layout(
     return {
         "overlap_pairs": overlap_pairs,
         "has_overlap": overlap_pairs > 0,
-        "crossings": 0,
+        "crossings": _count_cross_net_cell_overlaps(routed_wires),
+        "crossings_metric": "cross_net_cell_overlaps",
         "bends": bends,
         "wire_length": wire_length,
         "canvas_area_used": canvas_area_used,

netlist_to_layout_v1/runs/routerfix-20260310-summary/README.md

@@ -0,0 +1,45 @@
+# Routerfix Reduced Battery Summary
+
+Date: `2026-03-10`
+
+Checkpoint:
+
+- `experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt`
+
+Manifest:
+
+- `netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json`
+
+Routing profile:
+
+- `--stage-spec 4,4,2,16,10,32`
+- `--routing-block-margin 0`
+- `--pin-escape-cells 2`
+- `--trunk-first-min-degree 3`
+
+Authoritative completed runs:
+
+- `netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3`
+- `netlist_to_layout_v1/runs/routerfix-baseline-oracle-layout384-rbm0e2t3`
+- `netlist_to_layout_v1/runs/routerfix-patched-oracle-layout384-rbm0e2t3`
+
+Results:
+
+- Clean `normal384`: `39 / 384` accepted, `250` `router_fail`, `95` `cp_sat_fail`
+- Clean `oracle_layout384`: `30 / 384` accepted, `354` `router_fail`
+- Patched `oracle_layout384`: `24 / 384` accepted, `359` `router_fail`, `1` `verify_fail`
+
+Interpretation:
+
+- The patched router regressed reduced `oracle_layout384` by `6` accepted samples and increased router failures by `5`.
+- This failed the promotion gate, so the `914` battery was not run.
+- No further training should be launched from this routerfix pass.
+- The next likely bottleneck is representational: explicit non-connecting crossovers / bridge semantics or another routing layer.
+
+Additional artifacts:
+
+- `router_regression_checks.txt`: deterministic regression-script output
+- `netlist_to_layout_v1/runs/routerfix-patched-normal384-rbm0e2t3`
+- `netlist_to_layout_v1/runs/routerfix-patched-oracle-candidate384-rbm0e2t3`
+
+The two patched reduced runs above were intentionally stopped after the negative `oracle_layout384` result and are non-authoritative.

netlist_to_layout_v1/runs/routerfix-20260310-summary/router_regression_checks.txt

@@ -0,0 +1,3 @@
+PASS blocked_nearest_routable_second
+PASS compact_corner_pin_escape
+PASS simple_two_pin_route

netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/best_full_eval.json

@@ -0,0 +1,828 @@
+{
+  "micro_topology_exact_match_rate": 0.1015625,
+  "topology_exact_match_rate": 0.1015625,
+  "placement_overlap_rate": 0.0,
+  "mean_crossings": 0.0,
+  "mean_bends": 19.358974358974358,
+  "mean_manhattan_wire_length": 694.5897435897435,
+  "mean_canvas_area_used": 48592.4358974359,
+  "accepted": 39,
+  "total": 384,
+  "overlap_count": 0,
+  "overlap_pairs_total": 0,
+  "crossings_total": 0.0,
+  "bends_total": 755.0,
+  "wire_length_total": 27089.0,
+  "canvas_area_total": 1895105.0,
+  "topology_failures": 345,
+  "status_counts": {
+    "router_fail": 250,
+    "accepted": 39,
+    "cp_sat_fail": 95
+  },
+  "failure_reason_counts": {
+    "router_fail": 250,
+    "cp_sat_fail": 95
+  },
+  "score_tuple": [
+    345,
+    0,
+    755.0,
+    27089.0,
+    1895105.0
+  ],
+  "diagnostic_counts": {
+    "gold_samples": 384,
+    "gold_components": 12971,
+    "x_top4_hits": 2059,
+    "x_top8_hits": 2389,
+    "y_top4_hits": 2163,
+    "y_top8_hits": 2544,
+    "rot_top2_hits": 11264,
+    "rot_top4_hits": 12971,
+    "gold_component_in_cartesian_hits": 1451,
+    "gold_component_in_solver_hits": 1451,
+    "gold_full_sample_in_cartesian_hits": 67,
+    "gold_full_sample_in_solver_hits": 67,
+    "gold_selected_any_attempt_hits": 35
+  },
+  "diagnostics": {
+    "gold_samples": 384,
+    "gold_components": 12971,
+    "gold_x_top4_recall": 0.15873872484773727,
+    "gold_x_top8_recall": 0.18418009405597102,
+    "gold_y_top4_recall": 0.16675661090124122,
+    "gold_y_top8_recall": 0.1961298280780202,
+    "gold_rot_top2_recall": 0.8683987356410454,
+    "gold_rot_top4_recall": 1.0,
+    "gold_component_in_cartesian_shortlist_rate": 0.11186492945802175,
+    "gold_component_in_solver_candidates_rate": 0.11186492945802175,
+    "gold_full_sample_in_cartesian_shortlist_rate": 0.17447916666666666,
+    "gold_full_sample_in_solver_candidates_rate": 0.17447916666666666,
+    "gold_selected_any_attempt_rate": 0.09114583333333333
+  },
+  "router_fail_net_class_counts": {
+    "ground": 97,
+    "other": 104,
+    "VDD": 44,
+    "VIN": 1,
+    "VSS": 1,
+    "VOUT": 1,
+    "VCC": 1,
+    "power": 1
+  },
+  "cp_sat_terminal_status_counts": {
+    "infeasible": 78,
+    "unknown": 17
+  },
+  "step": 8000,
+  "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt",
+  "evaluated_at": "2026-03-10T17:27:44Z",
+  "split": "val",
+  "subset_size": 384,
+  "subset_manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json",
+  "mode": "full_machine_sharded_eval",
+  "shard_count": 4,
+  "sample_workers_per_gpu": 8,
+  "solver_workers_per_sample": 6,
+  "eval_mode": "normal",
+  "force_dataset_root": null,
+  "solve_stages": [
+    {
+      "top_x": 4,
+      "top_y": 4,
+      "top_rot": 2,
+      "max_solver_candidates": 16,
+      "cp_sat_timeout_seconds": 10.0,
+      "component_candidate_cap": 32
+    }
+  ],
+  "routing_options": {
+    "placement_margin": 2,
+    "routing_block_margin": 0,
+    "pin_escape_cells": 2,
+    "trunk_first_min_degree": 3,
+    "trunk_first_priority_only": false
+  },
+  "per_root": {
+    "ams-net.github.io": {
+      "micro_topology_exact_match_rate": 0.47368421052631576,
+      "topology_exact_match_rate": 0.47368421052631576,
+      "placement_overlap_rate": 0.0,
+      "mean_crossings": 0.0,
+      "mean_bends": 20.444444444444443,
+      "mean_manhattan_wire_length": 721.4444444444445,
+      "mean_canvas_area_used": 20599.555555555555,
+      "accepted": 9,
+      "total": 19,
+      "overlap_count": 0,
+      "overlap_pairs_total": 0,
+      "crossings_total": 0.0,
+      "bends_total": 184.0,
+      "wire_length_total": 6493.0,
+      "canvas_area_total": 185396.0,
+      "topology_failures": 10,
+      "status_counts": {
+        "accepted": 9,
+        "router_fail": 9,
+        "cp_sat_fail": 1
+      },
+      "failure_reason_counts": {
+        "router_fail": 9,
+        "cp_sat_fail": 1
+      },
+      "score_tuple": [
+        10,
+        0,
+        184.0,
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+}

netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/full_eval_metrics.jsonl

@@ -0,0 +1 @@
+{"micro_topology_exact_match_rate": 0.1015625, "topology_exact_match_rate": 0.1015625, "placement_overlap_rate": 0.0, "mean_crossings": 0.0, "mean_bends": 19.358974358974358, "mean_manhattan_wire_length": 694.5897435897435, "mean_canvas_area_used": 48592.4358974359, "accepted": 39, "total": 384, "overlap_count": 0, "overlap_pairs_total": 0, "crossings_total": 0.0, "bends_total": 755.0, "wire_length_total": 27089.0, "canvas_area_total": 1895105.0, "topology_failures": 345, "status_counts": {"router_fail": 250, "accepted": 39, "cp_sat_fail": 95}, "failure_reason_counts": {"router_fail": 250, "cp_sat_fail": 95}, "score_tuple": [345, 0, 755.0, 27089.0, 1895105.0], "diagnostic_counts": {"gold_samples": 384, "gold_components": 12971, "x_top4_hits": 2059, "x_top8_hits": 2389, "y_top4_hits": 2163, "y_top8_hits": 2544, "rot_top2_hits": 11264, "rot_top4_hits": 12971, "gold_component_in_cartesian_hits": 1451, "gold_component_in_solver_hits": 1451, "gold_full_sample_in_cartesian_hits": 67, 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netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/full_machine_eval_state.json

@@ -0,0 +1,846 @@
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+}

netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/launcher.log

@@ -0,0 +1,166 @@
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netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_00.json

@@ -0,0 +1,1147 @@
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+      "mean_crossings": 0.0,
+      "mean_bends": 19.5,
+      "mean_manhattan_wire_length": 545.5,
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+      "canvas_area_total": 127296.0,
+      "topology_failures": 31,
+      "status_counts": {
+        "router_fail": 22,
+        "cp_sat_fail": 9,
+        "accepted": 2
+      },
+      "failure_reason_counts": {
+        "router_fail": 22,
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+      },
+      "score_tuple": [
+        31,
+        0,
+        39.0,
+        1091.0,
+        127296.0
+      ],
+      "diagnostic_counts": {
+        "gold_samples": 33,
+        "gold_components": 1271,
+        "x_top4_hits": 231,
+        "x_top8_hits": 255,
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+        "y_top8_hits": 272,
+        "rot_top2_hits": 1119,
+        "rot_top4_hits": 1271,
+        "gold_component_in_cartesian_hits": 173,
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+        "gold_full_sample_in_cartesian_hits": 4,
+        "gold_full_sample_in_solver_hits": 4
+      },
+      "diagnostics": {
+        "gold_samples": 33,
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+        "gold_x_top4_recall": 0.18174665617623917,
+        "gold_x_top8_recall": 0.2006294256490952,
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+        "gold_y_top8_recall": 0.21400472069236823,
+        "gold_rot_top2_recall": 0.8804091266719118,
+        "gold_rot_top4_recall": 1.0,
+        "gold_component_in_cartesian_shortlist_rate": 0.13611329661683713,
+        "gold_component_in_solver_candidates_rate": 0.13611329661683713,
+        "gold_full_sample_in_cartesian_shortlist_rate": 0.12121212121212122,
+        "gold_full_sample_in_solver_candidates_rate": 0.12121212121212122,
+        "gold_selected_any_attempt_rate": 0.0
+      },
+      "router_fail_net_class_counts": {
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+        "other": 9,
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+      "cp_sat_terminal_status_counts": {
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+      "macro_topology_exact_match_rate": null
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+      "topology_failures": 20,
+      "status_counts": {
+        "router_fail": 11,
+        "cp_sat_fail": 9
+      },
+      "failure_reason_counts": {
+        "router_fail": 11,
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+        0,
+        0,
+        0
+      ],
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+        "gold_component_in_cartesian_hits": 46,
+        "gold_component_in_solver_hits": 46
+      },
+      "diagnostics": {
+        "gold_samples": 20,
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+        "gold_y_top8_recall": 0.12314410480349346,
+        "gold_rot_top2_recall": 0.868122270742358,
+        "gold_rot_top4_recall": 1.0,
+        "gold_component_in_cartesian_shortlist_rate": 0.04017467248908297,
+        "gold_component_in_solver_candidates_rate": 0.04017467248908297,
+        "gold_full_sample_in_cartesian_shortlist_rate": 0.0,
+        "gold_full_sample_in_solver_candidates_rate": 0.0,
+        "gold_selected_any_attempt_rate": 0.0
+      },
+      "router_fail_net_class_counts": {
+        "ground": 6,
+        "other": 2,
+        "VDD": 3
+      },
+      "cp_sat_terminal_status_counts": {
+        "infeasible": 7,
+        "unknown": 2
+      },
+      "macro_topology_exact_match_rate": null
+    }
+  },
+  "evaluated_at": "2026-03-10T17:20:06Z",
+  "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt",
+  "split": "val",
+  "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json",
+  "manifest_size": 384,
+  "shard_index": 0,
+  "shard_count": 4,
+  "shard_sample_count": 96,
+  "sample_workers": 8,
+  "solver_workers_per_sample": 6,
+  "eval_mode": "normal",
+  "force_dataset_root": null,
+  "solve_stages": [
+    {
+      "top_x": 4,
+      "top_y": 4,
+      "top_rot": 2,
+      "max_solver_candidates": 16,
+      "cp_sat_timeout_seconds": 10.0,
+      "component_candidate_cap": 32
+    }
+  ],
+  "routing_options": {
+    "placement_margin": 2,
+    "routing_block_margin": 0,
+    "pin_escape_cells": 2,
+    "trunk_first_min_degree": 3,
+    "trunk_first_priority_only": false
+  }
+}

netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_00.log

@@ -0,0 +1,20 @@
+/tmp/routerfix_handoff_prepatch_20260310T165418Z/netlist_to_layout_v1/eval_shard_worker.py:43: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  samples = torch.load(split_path)
+{"eval_shard_progress": {"status": "starting", "updated_at": "2026-03-10T17:00:18Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 4, "shard_sample_count": 96, "processed": 0, "total": 96, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 2.384185791015625e-06, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+/tmp/routerfix_handoff_prepatch_20260310T165418Z/netlist_to_layout_v1/eval_shard_worker.py:172: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  payload = torch.load(args.checkpoint, map_location="cpu")
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:00:21Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 4, "shard_sample_count": 96, "processed": 0, "total": 96, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 2.964360237121582, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:00:35Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 4, "shard_sample_count": 96, "processed": 8, "total": 96, "accepted": 4, "progress_fraction": 0.08333333333333333, "samples_per_min": 28.452643502085206, "eta_min": 3.0928584893544517, "elapsed_sec": 16.870137214660645, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00026-of-00078.parquet:0:156", "last_graph_hash": "d4de35f4fc0da6b6d45b4e54a160a1d6c544fedc", "last_status": "cp_sat_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 4, "cp_sat_fail": 4}, "failure_reason_counts": {"cp_sat_fail": 4}, "processed_by_root": {"ltspice-spice-circuits_hf": 1, "open-schematics_hf": 6, "ams-net.github.io": 1}, "accepted_by_root": {"ltspice-spice-circuits_hf": 1, "open-schematics_hf": 2, "ams-net.github.io": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:03:20Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 4, "shard_sample_count": 96, "processed": 16, "total": 96, "accepted": 4, "progress_fraction": 0.16666666666666666, "samples_per_min": 5.26022684458419, "eta_min": 15.20846958955129, "elapsed_sec": 182.50163507461548, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00026-of-00078.parquet:0:266", "last_graph_hash": "fb470590485ac74a44933938a3c96f426196105f", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 4, "cp_sat_fail": 4, "router_fail": 8}, "failure_reason_counts": {"cp_sat_fail": 4, "router_fail": 8}, "processed_by_root": {"ltspice-spice-circuits_hf": 4, "open-schematics_hf": 11, "ams-net.github.io": 1}, "accepted_by_root": {"ltspice-spice-circuits_hf": 1, "open-schematics_hf": 2, "ams-net.github.io": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:06:06Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 4, "shard_sample_count": 96, "processed": 24, "total": 96, "accepted": 4, "progress_fraction": 0.25, "samples_per_min": 4.132976506652311, "eta_min": 17.420858764648436, "elapsed_sec": 348.41717529296875, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00018-of-00078.parquet:0:277", "last_graph_hash": "b4e0db57528e4b7a64489ec7ddee6faad57fe294", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 4, "cp_sat_fail": 6, "router_fail": 14}, "failure_reason_counts": {"cp_sat_fail": 6, "router_fail": 14}, "processed_by_root": {"ltspice-spice-circuits_hf": 6, "open-schematics_hf": 17, "ams-net.github.io": 1}, "accepted_by_root": {"ltspice-spice-circuits_hf": 1, "open-schematics_hf": 2, "ams-net.github.io": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:07:28Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 4, "shard_sample_count": 96, "processed": 32, "total": 96, "accepted": 4, "progress_fraction": 0.3333333333333333, "samples_per_min": 4.463581199277053, "eta_min": 14.338262740770976, "elapsed_sec": 430.1478822231293, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00003-of-00078.parquet:1:182", "last_graph_hash": "93bac511cc665691dd2e47f49022dae3ebd00fa4", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 4, "cp_sat_fail": 6, "router_fail": 22}, "failure_reason_counts": {"cp_sat_fail": 6, "router_fail": 22}, "processed_by_root": {"ltspice-spice-circuits_hf": 7, "open-schematics_hf": 23, "ams-net.github.io": 2}, "accepted_by_root": {"ltspice-spice-circuits_hf": 1, "open-schematics_hf": 2, "ams-net.github.io": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:07:44Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 4, "shard_sample_count": 96, "processed": 40, "total": 96, "accepted": 6, "progress_fraction": 0.4166666666666667, "samples_per_min": 5.373800034602701, "eta_min": 10.420931117534638, "elapsed_sec": 446.6113336086273, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "ltspice-spice-circuits_hf:train-00000-of-00001.parquet:0:22148", "last_graph_hash": "c662445cac66fb3bf7a58dc7a3073ea9c595fa20", "last_status": "router_fail", "last_dataset_root": "ltspice-spice-circuits_hf", "status_counts": {"accepted": 6, "cp_sat_fail": 7, "router_fail": 27}, "failure_reason_counts": {"cp_sat_fail": 7, "router_fail": 27}, "processed_by_root": {"ltspice-spice-circuits_hf": 11, "open-schematics_hf": 25, "ams-net.github.io": 4}, "accepted_by_root": {"ltspice-spice-circuits_hf": 1, "open-schematics_hf": 2, "ams-net.github.io": 3}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:10:30Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 4, "shard_sample_count": 96, "processed": 48, "total": 96, "accepted": 6, "progress_fraction": 0.5, "samples_per_min": 4.708087220161354, "eta_min": 10.19522318840027, "elapsed_sec": 611.7133913040161, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00006-of-00078.parquet:1:287", "last_graph_hash": "fef3e40f0db3a9c81b8e087cacb360de219b5725", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 6, "cp_sat_fail": 8, "router_fail": 34}, "failure_reason_counts": {"cp_sat_fail": 8, "router_fail": 34}, "processed_by_root": {"ltspice-spice-circuits_hf": 13, "open-schematics_hf": 31, "ams-net.github.io": 4}, "accepted_by_root": {"ltspice-spice-circuits_hf": 1, "open-schematics_hf": 2, "ams-net.github.io": 3}}}
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netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_00.progress.json

@@ -0,0 +1,36 @@
+{
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+}

netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_01.json

@@ -0,0 +1,1160 @@
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netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_01.log

@@ -0,0 +1,20 @@
+/tmp/routerfix_handoff_prepatch_20260310T165418Z/netlist_to_layout_v1/eval_shard_worker.py:43: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  samples = torch.load(split_path)
+{"eval_shard_progress": {"status": "starting", "updated_at": "2026-03-10T17:00:18Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 4, "shard_sample_count": 96, "processed": 0, "total": 96, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 3.337860107421875e-06, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+/tmp/routerfix_handoff_prepatch_20260310T165418Z/netlist_to_layout_v1/eval_shard_worker.py:172: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  payload = torch.load(args.checkpoint, map_location="cpu")
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:00:21Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 4, "shard_sample_count": 96, "processed": 0, "total": 96, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 3.1855452060699463, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:00:33Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 4, "shard_sample_count": 96, "processed": 8, "total": 96, "accepted": 2, "progress_fraction": 0.08333333333333333, "samples_per_min": 31.46616624201028, "eta_min": 2.7966546456019086, "elapsed_sec": 15.254479885101318, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00005-of-00078.parquet:0:452", "last_graph_hash": "34cb963864d9019e8b9b90089828f2d68448c5c0", "last_status": "cp_sat_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"cp_sat_fail": 6, "accepted": 2}, "failure_reason_counts": {"cp_sat_fail": 6}, "processed_by_root": {"open-schematics_hf": 7, "ltspice-spice-circuits_hf": 1}, "accepted_by_root": {"open-schematics_hf": 2}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:03:17Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 4, "shard_sample_count": 96, "processed": 16, "total": 96, "accepted": 2, "progress_fraction": 0.16666666666666666, "samples_per_min": 5.349445971900431, "eta_min": 14.95481969912847, "elapsed_sec": 179.45783638954163, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00001-of-00078.parquet:0:66", "last_graph_hash": "cc2686a06efcb12c07cb1cb73fe843ed9876a757", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"cp_sat_fail": 7, "accepted": 2, "router_fail": 7}, "failure_reason_counts": {"cp_sat_fail": 7, "router_fail": 7}, "processed_by_root": {"open-schematics_hf": 13, "ltspice-spice-circuits_hf": 3}, "accepted_by_root": {"open-schematics_hf": 2}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:04:01Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 4, "shard_sample_count": 96, "processed": 24, "total": 96, "accepted": 3, "progress_fraction": 0.25, "samples_per_min": 6.452567061833289, "eta_min": 11.15834974050522, "elapsed_sec": 223.16699481010437, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "ltspice-spice-circuits_hf:test-00000-of-00001.parquet:0:818", "last_graph_hash": "16d52505bb3587f41421f3711d57051e8c2f6d92", "last_status": "router_fail", "last_dataset_root": "ltspice-spice-circuits_hf", "status_counts": {"cp_sat_fail": 9, "accepted": 3, "router_fail": 12}, "failure_reason_counts": {"cp_sat_fail": 9, "router_fail": 12}, "processed_by_root": {"open-schematics_hf": 16, "ltspice-spice-circuits_hf": 7, "ams-net.github.io": 1}, "accepted_by_root": {"open-schematics_hf": 3}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:06:42Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 4, "shard_sample_count": 96, "processed": 32, "total": 96, "accepted": 3, "progress_fraction": 0.3333333333333333, "samples_per_min": 5.002401932156473, "eta_min": 12.793854006131491, "elapsed_sec": 383.8156201839447, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "ltspice-spice-circuits_hf:train-00000-of-00001.parquet:1:18794", "last_graph_hash": "00d9f1bb3642568ef6db901023b83d2433640376", "last_status": "router_fail", "last_dataset_root": "ltspice-spice-circuits_hf", "status_counts": {"cp_sat_fail": 10, "accepted": 3, "router_fail": 19}, "failure_reason_counts": {"cp_sat_fail": 10, "router_fail": 19}, "processed_by_root": {"open-schematics_hf": 22, "ltspice-spice-circuits_hf": 9, "ams-net.github.io": 1}, "accepted_by_root": {"open-schematics_hf": 3}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:06:58Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 4, "shard_sample_count": 96, "processed": 40, "total": 96, "accepted": 4, "progress_fraction": 0.4166666666666667, "samples_per_min": 5.999170146339606, "eta_min": 9.334624395370485, "elapsed_sec": 400.0553312301636, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00008-of-00078.parquet:0:222", "last_graph_hash": "4ee03a88d4a4cb7a710f8278acfbe29728c9d9a2", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"cp_sat_fail": 15, "accepted": 4, "router_fail": 21}, "failure_reason_counts": {"cp_sat_fail": 15, "router_fail": 21}, "processed_by_root": {"open-schematics_hf": 29, "ltspice-spice-circuits_hf": 9, "ams-net.github.io": 2}, "accepted_by_root": {"open-schematics_hf": 3, "ams-net.github.io": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:09:36Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 4, "shard_sample_count": 96, "processed": 48, "total": 96, "accepted": 6, "progress_fraction": 0.5, "samples_per_min": 5.157271696123463, "eta_min": 9.30724670489629, "elapsed_sec": 558.4348022937775, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00021-of-00078.parquet:0:543", "last_graph_hash": "0c7db419251b58f5f2cae275fa6e103677180b98", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"cp_sat_fail": 15, "accepted": 6, "router_fail": 27}, "failure_reason_counts": {"cp_sat_fail": 15, "router_fail": 27}, "processed_by_root": {"open-schematics_hf": 35, "ltspice-spice-circuits_hf": 10, "ams-net.github.io": 3}, "accepted_by_root": {"open-schematics_hf": 4, "ams-net.github.io": 2}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:10:15Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 4, "shard_sample_count": 96, "processed": 56, "total": 96, "accepted": 7, "progress_fraction": 0.5833333333333334, "samples_per_min": 5.631772671341387, "eta_min": 7.102559413228716, "elapsed_sec": 596.6149907112122, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00020-of-00078.parquet:0:129", "last_graph_hash": "ff202cc98a63c2c9eef77ed3c3502095d483c51e", "last_status": "cp_sat_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"cp_sat_fail": 20, "accepted": 7, "router_fail": 29}, "failure_reason_counts": {"cp_sat_fail": 20, "router_fail": 29}, "processed_by_root": {"open-schematics_hf": 41, "ltspice-spice-circuits_hf": 11, "ams-net.github.io": 4}, "accepted_by_root": {"open-schematics_hf": 5, "ams-net.github.io": 2}}}
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netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_01.progress.json

@@ -0,0 +1,36 @@
+{
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+  "accepted_by_root": {}
+}

netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_02.json

@@ -0,0 +1,1147 @@
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+  "evaluated_at": "2026-03-10T17:19:15Z",
+  "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt",
+  "split": "val",
+  "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json",
+  "manifest_size": 384,
+  "shard_index": 2,
+  "shard_count": 4,
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+  "sample_workers": 8,
+  "solver_workers_per_sample": 6,
+  "eval_mode": "normal",
+  "force_dataset_root": null,
+  "solve_stages": [
+    {
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+      "top_y": 4,
+      "top_rot": 2,
+      "max_solver_candidates": 16,
+      "cp_sat_timeout_seconds": 10.0,
+      "component_candidate_cap": 32
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+  ],
+  "routing_options": {
+    "placement_margin": 2,
+    "routing_block_margin": 0,
+    "pin_escape_cells": 2,
+    "trunk_first_min_degree": 3,
+    "trunk_first_priority_only": false
+  }
+}

netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_02.log

@@ -0,0 +1,20 @@
+/tmp/routerfix_handoff_prepatch_20260310T165418Z/netlist_to_layout_v1/eval_shard_worker.py:43: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  samples = torch.load(split_path)
+{"eval_shard_progress": {"status": "starting", "updated_at": "2026-03-10T17:00:18Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 2, "shard_count": 4, "shard_sample_count": 96, "processed": 0, "total": 96, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 3.5762786865234375e-06, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+/tmp/routerfix_handoff_prepatch_20260310T165418Z/netlist_to_layout_v1/eval_shard_worker.py:172: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  payload = torch.load(args.checkpoint, map_location="cpu")
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:00:21Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 2, "shard_count": 4, "shard_sample_count": 96, "processed": 0, "total": 96, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 2.997126340866089, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:01:15Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 2, "shard_count": 4, "shard_sample_count": 96, "processed": 8, "total": 96, "accepted": 1, "progress_fraction": 0.08333333333333333, "samples_per_min": 8.427882705965715, "eta_min": 10.441531173388164, "elapsed_sec": 56.95380640029907, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00004-of-00078.parquet:1:454", "last_graph_hash": "e0cfefb09238176cf4cb45f526dc8dbfbeb63251", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 1, "cp_sat_fail": 4, "router_fail": 3}, "failure_reason_counts": {"cp_sat_fail": 4, "router_fail": 3}, "processed_by_root": {"ams-net.github.io": 1, "open-schematics_hf": 4, "ltspice-spice-circuits_hf": 3}, "accepted_by_root": {"ams-net.github.io": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:03:39Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 2, "shard_count": 4, "shard_sample_count": 96, "processed": 16, "total": 96, "accepted": 1, "progress_fraction": 0.16666666666666666, "samples_per_min": 4.781961125453899, "eta_min": 16.729537924130756, "elapsed_sec": 200.7544550895691, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00000-of-00078.parquet:0:227", "last_graph_hash": "2cbde02cd1a51a30973fa1ce7bd377656ca8be81", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 1, "cp_sat_fail": 5, "router_fail": 10}, "failure_reason_counts": {"cp_sat_fail": 5, "router_fail": 10}, "processed_by_root": {"ams-net.github.io": 1, "open-schematics_hf": 12, "ltspice-spice-circuits_hf": 3}, "accepted_by_root": {"ams-net.github.io": 1}}}
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netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_02.progress.json

@@ -0,0 +1,36 @@
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+}

netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_03.json

@@ -0,0 +1,1145 @@
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+      "mean_bends": 46.666666666666664,
+      "mean_manhattan_wire_length": 1157.6666666666667,
+      "mean_canvas_area_used": 62714.0,
+      "accepted": 3,
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+      "overlap_count": 0,
+      "overlap_pairs_total": 0,
+      "crossings_total": 0.0,
+      "bends_total": 140.0,
+      "wire_length_total": 3473.0,
+      "canvas_area_total": 188142.0,
+      "topology_failures": 33,
+      "status_counts": {
+        "router_fail": 26,
+        "cp_sat_fail": 7,
+        "accepted": 3
+      },
+      "failure_reason_counts": {
+        "router_fail": 26,
+        "cp_sat_fail": 7
+      },
+      "score_tuple": [
+        33,
+        0,
+        140.0,
+        3473.0,
+        188142.0
+      ],
+      "diagnostic_counts": {
+        "gold_samples": 36,
+        "gold_components": 1448,
+        "x_top4_hits": 121,
+        "x_top8_hits": 165,
+        "y_top4_hits": 105,
+        "y_top8_hits": 148,
+        "rot_top2_hits": 1197,
+        "rot_top4_hits": 1448,
+        "gold_component_in_cartesian_hits": 33,
+        "gold_component_in_solver_hits": 33
+      },
+      "diagnostics": {
+        "gold_samples": 36,
+        "gold_components": 1448,
+        "gold_x_top4_recall": 0.0835635359116022,
+        "gold_x_top8_recall": 0.11395027624309392,
+        "gold_y_top4_recall": 0.07251381215469613,
+        "gold_y_top8_recall": 0.10220994475138122,
+        "gold_rot_top2_recall": 0.8266574585635359,
+        "gold_rot_top4_recall": 1.0,
+        "gold_component_in_cartesian_shortlist_rate": 0.022790055248618785,
+        "gold_component_in_solver_candidates_rate": 0.022790055248618785,
+        "gold_full_sample_in_cartesian_shortlist_rate": 0.0,
+        "gold_full_sample_in_solver_candidates_rate": 0.0,
+        "gold_selected_any_attempt_rate": 0.0
+      },
+      "router_fail_net_class_counts": {
+        "ground": 17,
+        "VDD": 3,
+        "other": 6
+      },
+      "cp_sat_terminal_status_counts": {
+        "infeasible": 4,
+        "unknown": 3
+      },
+      "macro_topology_exact_match_rate": null
+    },
+    "49-64": {
+      "micro_topology_exact_match_rate": 0.0,
+      "topology_exact_match_rate": 0.0,
+      "placement_overlap_rate": 1.0,
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+      "mean_bends": 0.0,
+      "mean_manhattan_wire_length": 0.0,
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+      "overlap_count": 0,
+      "overlap_pairs_total": 0,
+      "crossings_total": 0,
+      "bends_total": 0,
+      "wire_length_total": 0,
+      "canvas_area_total": 0,
+      "topology_failures": 29,
+      "status_counts": {
+        "router_fail": 18,
+        "cp_sat_fail": 11
+      },
+      "failure_reason_counts": {
+        "router_fail": 18,
+        "cp_sat_fail": 11
+      },
+      "score_tuple": [
+        29,
+        0,
+        0,
+        0,
+        0
+      ],
+      "diagnostic_counts": {
+        "gold_samples": 29,
+        "gold_components": 1584,
+        "x_top4_hits": 55,
+        "x_top8_hits": 89,
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+        "y_top8_hits": 166,
+        "rot_top2_hits": 1329,
+        "rot_top4_hits": 1584,
+        "gold_component_in_cartesian_hits": 3,
+        "gold_component_in_solver_hits": 3
+      },
+      "diagnostics": {
+        "gold_samples": 29,
+        "gold_components": 1584,
+        "gold_x_top4_recall": 0.034722222222222224,
+        "gold_x_top8_recall": 0.05618686868686869,
+        "gold_y_top4_recall": 0.06376262626262626,
+        "gold_y_top8_recall": 0.10479797979797979,
+        "gold_rot_top2_recall": 0.8390151515151515,
+        "gold_rot_top4_recall": 1.0,
+        "gold_component_in_cartesian_shortlist_rate": 0.001893939393939394,
+        "gold_component_in_solver_candidates_rate": 0.001893939393939394,
+        "gold_full_sample_in_cartesian_shortlist_rate": 0.0,
+        "gold_full_sample_in_solver_candidates_rate": 0.0,
+        "gold_selected_any_attempt_rate": 0.0
+      },
+      "router_fail_net_class_counts": {
+        "ground": 11,
+        "VDD": 7
+      },
+      "cp_sat_terminal_status_counts": {
+        "infeasible": 9,
+        "unknown": 2
+      },
+      "macro_topology_exact_match_rate": null
+    }
+  },
+  "evaluated_at": "2026-03-10T17:27:35Z",
+  "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt",
+  "split": "val",
+  "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json",
+  "manifest_size": 384,
+  "shard_index": 3,
+  "shard_count": 4,
+  "shard_sample_count": 96,
+  "sample_workers": 8,
+  "solver_workers_per_sample": 6,
+  "eval_mode": "normal",
+  "force_dataset_root": null,
+  "solve_stages": [
+    {
+      "top_x": 4,
+      "top_y": 4,
+      "top_rot": 2,
+      "max_solver_candidates": 16,
+      "cp_sat_timeout_seconds": 10.0,
+      "component_candidate_cap": 32
+    }
+  ],
+  "routing_options": {
+    "placement_margin": 2,
+    "routing_block_margin": 0,
+    "pin_escape_cells": 2,
+    "trunk_first_min_degree": 3,
+    "trunk_first_priority_only": false
+  }
+}

netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_03.log

@@ -0,0 +1,20 @@
+/tmp/routerfix_handoff_prepatch_20260310T165418Z/netlist_to_layout_v1/eval_shard_worker.py:43: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  samples = torch.load(split_path)
+{"eval_shard_progress": {"status": "starting", "updated_at": "2026-03-10T17:00:18Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 3, "shard_count": 4, "shard_sample_count": 96, "processed": 0, "total": 96, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 3.0994415283203125e-06, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+/tmp/routerfix_handoff_prepatch_20260310T165418Z/netlist_to_layout_v1/eval_shard_worker.py:172: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  payload = torch.load(args.checkpoint, map_location="cpu")
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:00:21Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 3, "shard_count": 4, "shard_sample_count": 96, "processed": 0, "total": 96, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 3.0996673107147217, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:03:08Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 3, "shard_count": 4, "shard_sample_count": 96, "processed": 8, "total": 96, "accepted": 0, "progress_fraction": 0.08333333333333333, "samples_per_min": 2.8291854799572524, "eta_min": 31.104358700911202, "elapsed_sec": 169.66013836860657, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00028-of-00078.parquet:0:162", "last_graph_hash": "63ea9d61161b02328b1918c90b4120badea3b410", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"router_fail": 7, "cp_sat_fail": 1}, "failure_reason_counts": {"router_fail": 7, "cp_sat_fail": 1}, "processed_by_root": {"open-schematics_hf": 6, "ltspice-spice-circuits_hf": 2}, "accepted_by_root": {}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:05:50Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 3, "shard_count": 4, "shard_sample_count": 96, "processed": 16, "total": 96, "accepted": 0, "progress_fraction": 0.16666666666666666, "samples_per_min": 2.888973941567116, "eta_min": 27.69149241844813, "elapsed_sec": 332.29790902137756, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00026-of-00078.parquet:0:149", "last_graph_hash": "5a7212f32fbb4d6e8f367030bebb1ac25e640919", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"router_fail": 14, "cp_sat_fail": 2}, "failure_reason_counts": {"router_fail": 14, "cp_sat_fail": 2}, "processed_by_root": {"open-schematics_hf": 13, "ltspice-spice-circuits_hf": 3}, "accepted_by_root": {}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:08:35Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 3, "shard_count": 4, "shard_sample_count": 96, "processed": 24, "total": 96, "accepted": 2, "progress_fraction": 0.25, "samples_per_min": 2.8951319275697833, "eta_min": 24.869333004951475, "elapsed_sec": 497.38666009902954, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00007-of-00078.parquet:1:109", "last_graph_hash": "50cd6cbcea197f676e84a3eade44fcf129800c6a", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"router_fail": 20, "cp_sat_fail": 2, "accepted": 2}, "failure_reason_counts": {"router_fail": 20, "cp_sat_fail": 2}, "processed_by_root": {"open-schematics_hf": 19, "ltspice-spice-circuits_hf": 5}, "accepted_by_root": {"ltspice-spice-circuits_hf": 1, "open-schematics_hf": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:11:20Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 3, "shard_count": 4, "shard_sample_count": 96, "processed": 32, "total": 96, "accepted": 3, "progress_fraction": 0.3333333333333333, "samples_per_min": 2.901009081786221, "eta_min": 22.061289087931314, "elapsed_sec": 661.8386726379395, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00026-of-00078.parquet:1:159", "last_graph_hash": "428119c4154c8ec8ff1d7ab96a4383f30ebadb9a", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"router_fail": 26, "cp_sat_fail": 3, "accepted": 3}, "failure_reason_counts": {"router_fail": 26, "cp_sat_fail": 3}, "processed_by_root": {"open-schematics_hf": 27, "ltspice-spice-circuits_hf": 5}, "accepted_by_root": {"ltspice-spice-circuits_hf": 1, "open-schematics_hf": 2}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:14:10Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 3, "shard_count": 4, "shard_sample_count": 96, "processed": 40, "total": 96, "accepted": 3, "progress_fraction": 0.4166666666666667, "samples_per_min": 2.883037664512733, "eta_min": 19.423957130114236, "elapsed_sec": 832.4553055763245, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00027-of-00078.parquet:0:265", "last_graph_hash": "df03a86fce7abdfc5f811117dfc89b2e503c633b", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"router_fail": 32, "cp_sat_fail": 5, "accepted": 3}, "failure_reason_counts": {"router_fail": 32, "cp_sat_fail": 5}, "processed_by_root": {"open-schematics_hf": 32, "ltspice-spice-circuits_hf": 6, "ams-net.github.io": 2}, "accepted_by_root": {"ltspice-spice-circuits_hf": 1, "open-schematics_hf": 2}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:15:35Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 3, "shard_count": 4, "shard_sample_count": 96, "processed": 48, "total": 96, "accepted": 3, "progress_fraction": 0.5, "samples_per_min": 3.139401337805037, "eta_min": 15.289539257685343, "elapsed_sec": 917.3723554611206, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00033-of-00078.parquet:1:456", "last_graph_hash": "9a526fa30596f15243c0c39565e54b3823a9157c", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"router_fail": 38, "cp_sat_fail": 7, "accepted": 3}, "failure_reason_counts": {"router_fail": 38, "cp_sat_fail": 7}, "processed_by_root": {"open-schematics_hf": 40, "ltspice-spice-circuits_hf": 6, "ams-net.github.io": 2}, "accepted_by_root": {"ltspice-spice-circuits_hf": 1, "open-schematics_hf": 2}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:18:23Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 3, "shard_count": 4, "shard_sample_count": 96, "processed": 56, "total": 96, "accepted": 6, "progress_fraction": 0.5833333333333334, "samples_per_min": 3.0977950959661666, "eta_min": 12.912409878912428, "elapsed_sec": 1084.6424298286438, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00033-of-00078.parquet:0:322", "last_graph_hash": "641940d5dd60b29ca5a1876f47f8f20d6e50f1e7", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"router_fail": 40, "cp_sat_fail": 10, "accepted": 6}, "failure_reason_counts": {"router_fail": 40, "cp_sat_fail": 10}, "processed_by_root": {"open-schematics_hf": 47, "ltspice-spice-circuits_hf": 7, "ams-net.github.io": 2}, "accepted_by_root": {"ltspice-spice-circuits_hf": 1, "open-schematics_hf": 5}}}
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netlist_to_layout_v1/runs/routerfix-baseline-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_03.progress.json

@@ -0,0 +1,36 @@
+{
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+  "checkpoint_step": 8000,
+  "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt",
+  "split": "val",
+  "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json",
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+  },
+  "processed_by_root": {},
+  "accepted_by_root": {}
+}

netlist_to_layout_v1/runs/routerfix-baseline-oracle-layout384-rbm0e2t3/best_full_eval.json

@@ -0,0 +1,756 @@
+{
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+}

netlist_to_layout_v1/runs/routerfix-baseline-oracle-layout384-rbm0e2t3/full_eval_metrics.jsonl

@@ -0,0 +1 @@
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netlist_to_layout_v1/runs/routerfix-baseline-oracle-layout384-rbm0e2t3/full_machine_eval_state.json

@@ -0,0 +1,768 @@
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+}

netlist_to_layout_v1/runs/routerfix-baseline-oracle-layout384-rbm0e2t3/launcher.log

@@ -0,0 +1,6 @@
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netlist_to_layout_v1/runs/routerfix-baseline-oracle-layout384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_00.json

@@ -0,0 +1,842 @@
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+  "split": "val",
+  "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json",
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+    "placement_margin": 2,
+    "routing_block_margin": 0,
+    "pin_escape_cells": 2,
+    "trunk_first_min_degree": 3,
+    "trunk_first_priority_only": false
+  }
+}

netlist_to_layout_v1/runs/routerfix-baseline-oracle-layout384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_00.log

@@ -0,0 +1,54 @@
+/tmp/routerfix_handoff_prepatch_20260310T165418Z/netlist_to_layout_v1/eval_shard_worker.py:43: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  samples = torch.load(split_path)
+{"eval_shard_progress": {"status": "starting", "updated_at": "2026-03-10T17:13:49Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 1, "shard_sample_count": 384, "processed": 0, "total": 384, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 6.9141387939453125e-06, "sample_workers": 16, "solver_workers_per_sample": 0, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:13:49Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 1, "shard_sample_count": 384, "processed": 0, "total": 384, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 0.06340646743774414, "sample_workers": 16, "solver_workers_per_sample": 0, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:13:54Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 1, "shard_sample_count": 384, "processed": 8, "total": 384, "accepted": 1, "progress_fraction": 0.020833333333333332, "samples_per_min": 95.69547135012184, "eta_min": 3.9291305502255756, "elapsed_sec": 5.015911340713501, "sample_workers": 16, "solver_workers_per_sample": 0, "last_sample_id": "open-schematics_hf:train-00019-of-00078.parquet:0:293", "last_graph_hash": "bcb6dc737c55e68429503adbe521178b3936fd82", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"router_fail": 7, "accepted": 1}, "failure_reason_counts": {"router_fail": 7}, "processed_by_root": {"open-schematics_hf": 7, "ltspice-spice-circuits_hf": 1}, "accepted_by_root": {"open-schematics_hf": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:13:54Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 1, "shard_sample_count": 384, "processed": 16, "total": 384, "accepted": 1, "progress_fraction": 0.041666666666666664, "samples_per_min": 180.46415920053374, "eta_min": 2.039186072349548, "elapsed_sec": 5.319615840911865, "sample_workers": 16, "solver_workers_per_sample": 0, "last_sample_id": "open-schematics_hf:train-00026-of-00078.parquet:1:442", "last_graph_hash": "51be080c5e519b75ca6ae9159a014d46ba3bbd19", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"router_fail": 15, "accepted": 1}, "failure_reason_counts": {"router_fail": 15}, "processed_by_root": {"open-schematics_hf": 13, "ltspice-spice-circuits_hf": 2, "ams-net.github.io": 1}, "accepted_by_root": {"open-schematics_hf": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:13:54Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 1, "shard_sample_count": 384, "processed": 24, "total": 384, "accepted": 1, "progress_fraction": 0.0625, "samples_per_min": 264.9494513037748, "eta_min": 1.3587497472763062, "elapsed_sec": 5.434998989105225, "sample_workers": 16, "solver_workers_per_sample": 0, "last_sample_id": "open-schematics_hf:train-00017-of-00078.parquet:0:266", "last_graph_hash": "8aad25bd30fe819f7b5f04131abd1802c15b0178", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"router_fail": 23, "accepted": 1}, "failure_reason_counts": {"router_fail": 23}, "processed_by_root": {"open-schematics_hf": 20, "ltspice-spice-circuits_hf": 3, "ams-net.github.io": 1}, "accepted_by_root": {"open-schematics_hf": 1}}}
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+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:13:55Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 1, "shard_sample_count": 384, "processed": 48, "total": 384, "accepted": 4, "progress_fraction": 0.125, "samples_per_min": 471.8240712234472, "eta_min": 0.7121298392613729, "elapsed_sec": 6.103970050811768, "sample_workers": 16, "solver_workers_per_sample": 0, "last_sample_id": "open-schematics_hf:train-00018-of-00078.parquet:1:133", "last_graph_hash": "3d9d7127bffe4b930ac7b51a9727eb02a4f736e2", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"router_fail": 44, "accepted": 4}, "failure_reason_counts": {"router_fail": 44}, "processed_by_root": {"open-schematics_hf": 41, "ltspice-spice-circuits_hf": 5, "ams-net.github.io": 2}, "accepted_by_root": {"open-schematics_hf": 3, "ams-net.github.io": 1}}}
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netlist_to_layout_v1/runs/routerfix-baseline-oracle-layout384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_00.progress.json

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+{
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netlist_to_layout_v1/runs/routerfix-patched-normal384-rbm0e2t3/full_machine_eval_state.json

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netlist_to_layout_v1/runs/routerfix-patched-normal384-rbm0e2t3/launcher.log

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+{"full_machine_eval": {"status": "progress", "step": 8000, "processed": 96, "total": 384, "accepted": 10, "progress_fraction": 0.25, "samples_per_min": 7.604437784233563, "eta_min": 37.87262229919433, "completed_shards": 0, "updated_at": "2026-03-10T17:24:59Z"}}
+{"full_machine_eval": {"status": "progress", "step": 8000, "processed": 104, "total": 384, "accepted": 10, "progress_fraction": 0.2708333333333333, "samples_per_min": 8.129893600989906, "eta_min": 34.44079513733204, "completed_shards": 0, "updated_at": "2026-03-10T17:25:09Z"}}
+{"full_machine_eval": {"status": "progress", "step": 8000, "processed": 112, "total": 384, "accepted": 10, "progress_fraction": 0.2916666666666667, "samples_per_min": 8.641926396498798, "eta_min": 31.474463854517257, "completed_shards": 0, "updated_at": "2026-03-10T17:25:19Z"}}
+{"full_machine_eval": {"status": "progress", "step": 8000, "processed": 112, "total": 384, "accepted": 10, "progress_fraction": 0.2916666666666667, "samples_per_min": 8.531560171353576, "eta_min": 31.88162475994655, "completed_shards": 0, "updated_at": "2026-03-10T17:25:29Z"}}
+{"full_machine_eval": {"status": "progress", "step": 8000, "processed": 112, "total": 384, "accepted": 10, "progress_fraction": 0.2916666666666667, "samples_per_min": 8.42317772162189, "eta_min": 32.291851007938384, "completed_shards": 0, "updated_at": "2026-03-10T17:25:40Z"}}
+{"full_machine_eval": {"status": "progress", "step": 8000, "processed": 112, "total": 384, "accepted": 10, "progress_fraction": 0.2916666666666667, "samples_per_min": 8.318365164671661, "eta_min": 32.69873281774067, "completed_shards": 0, "updated_at": "2026-03-10T17:25:50Z"}}
+{"full_machine_eval": {"status": "progress", "step": 8000, "processed": 112, "total": 384, "accepted": 10, "progress_fraction": 0.2916666666666667, "samples_per_min": 8.216330579795528, "eta_min": 33.10480236382711, "completed_shards": 0, "updated_at": "2026-03-10T17:26:00Z"}}

netlist_to_layout_v1/runs/routerfix-patched-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_00.log

@@ -0,0 +1,13 @@
+/workspace/circuitgen-datasets-private/netlist_to_layout_v1/eval_shard_worker.py:43: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  samples = torch.load(split_path)
+{"eval_shard_progress": {"status": "starting", "updated_at": "2026-03-10T17:12:25Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 2, "shard_sample_count": 192, "processed": 0, "total": 192, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 4.291534423828125e-06, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+/workspace/circuitgen-datasets-private/netlist_to_layout_v1/eval_shard_worker.py:172: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  payload = torch.load(args.checkpoint, map_location="cpu")
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:12:27Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 2, "shard_sample_count": 192, "processed": 0, "total": 192, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 2.630455732345581, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:12:52Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 2, "shard_sample_count": 192, "processed": 8, "total": 192, "accepted": 3, "progress_fraction": 0.041666666666666664, "samples_per_min": 17.512700837427115, "eta_min": 10.506660377979278, "elapsed_sec": 27.408679246902466, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00014-of-00078.parquet:0:9", "last_graph_hash": "dd889dad399607fda4b73de19c4e223a73a54e42", "last_status": "cp_sat_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 3, "router_fail": 2, "cp_sat_fail": 3}, "failure_reason_counts": {"router_fail": 2, "cp_sat_fail": 3}, "processed_by_root": {"open-schematics_hf": 4, "ltspice-spice-circuits_hf": 3, "ams-net.github.io": 1}, "accepted_by_root": {"open-schematics_hf": 1, "ams-net.github.io": 1, "ltspice-spice-circuits_hf": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:15:46Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 2, "shard_sample_count": 192, "processed": 16, "total": 192, "accepted": 3, "progress_fraction": 0.08333333333333333, "samples_per_min": 4.775377693127315, "eta_min": 36.85572352806727, "elapsed_sec": 201.0312192440033, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00027-of-00078.parquet:0:24", "last_graph_hash": "bb872ea73b3fdf8e88261ee8a00e1b4596866fe1", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 3, "router_fail": 9, "cp_sat_fail": 4}, "failure_reason_counts": {"router_fail": 9, "cp_sat_fail": 4}, "processed_by_root": {"open-schematics_hf": 10, "ltspice-spice-circuits_hf": 5, "ams-net.github.io": 1}, "accepted_by_root": {"open-schematics_hf": 1, "ams-net.github.io": 1, "ltspice-spice-circuits_hf": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:18:32Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 2, "shard_sample_count": 192, "processed": 24, "total": 192, "accepted": 4, "progress_fraction": 0.125, "samples_per_min": 3.9228930106254096, "eta_min": 42.82553705771764, "elapsed_sec": 367.07603192329407, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00017-of-00078.parquet:0:266", "last_graph_hash": "8aad25bd30fe819f7b5f04131abd1802c15b0178", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 4, "router_fail": 12, "cp_sat_fail": 8}, "failure_reason_counts": {"router_fail": 12, "cp_sat_fail": 8}, "processed_by_root": {"open-schematics_hf": 16, "ltspice-spice-circuits_hf": 6, "ams-net.github.io": 2}, "accepted_by_root": {"open-schematics_hf": 1, "ams-net.github.io": 2, "ltspice-spice-circuits_hf": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:21:13Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 2, "shard_sample_count": 192, "processed": 32, "total": 192, "accepted": 4, "progress_fraction": 0.16666666666666666, "samples_per_min": 3.6341235426319183, "eta_min": 44.0271218419075, "elapsed_sec": 528.32546210289, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00026-of-00078.parquet:0:266", "last_graph_hash": "fb470590485ac74a44933938a3c96f426196105f", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 4, "router_fail": 19, "cp_sat_fail": 9}, "failure_reason_counts": {"router_fail": 19, "cp_sat_fail": 9}, "processed_by_root": {"open-schematics_hf": 23, "ltspice-spice-circuits_hf": 7, "ams-net.github.io": 2}, "accepted_by_root": {"open-schematics_hf": 1, "ams-net.github.io": 2, "ltspice-spice-circuits_hf": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:22:21Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 2, "shard_sample_count": 192, "processed": 40, "total": 192, "accepted": 5, "progress_fraction": 0.20833333333333334, "samples_per_min": 4.0285553011452375, "eta_min": 37.73064749956131, "elapsed_sec": 595.747065782547, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "ltspice-spice-circuits_hf:train-00000-of-00001.parquet:0:12555", "last_graph_hash": "3b05c45f94ab4d56897b1e5b517433c43b608186", "last_status": "router_fail", "last_dataset_root": "ltspice-spice-circuits_hf", "status_counts": {"accepted": 5, "router_fail": 24, "cp_sat_fail": 11}, "failure_reason_counts": {"router_fail": 24, "cp_sat_fail": 11}, "processed_by_root": {"open-schematics_hf": 28, "ltspice-spice-circuits_hf": 10, "ams-net.github.io": 2}, "accepted_by_root": {"open-schematics_hf": 2, "ams-net.github.io": 2, "ltspice-spice-circuits_hf": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:24:24Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 2, "shard_sample_count": 192, "processed": 48, "total": 192, "accepted": 5, "progress_fraction": 0.25, "samples_per_min": 4.0047532894452536, "eta_min": 35.957271170616146, "elapsed_sec": 719.145423412323, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00004-of-00078.parquet:0:97", "last_graph_hash": "be5074b3e07b7a861b31a023b267d775b488d236", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 5, "router_fail": 31, "cp_sat_fail": 12}, "failure_reason_counts": {"router_fail": 31, "cp_sat_fail": 12}, "processed_by_root": {"open-schematics_hf": 35, "ltspice-spice-circuits_hf": 11, "ams-net.github.io": 2}, "accepted_by_root": {"open-schematics_hf": 2, "ams-net.github.io": 2, "ltspice-spice-circuits_hf": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:25:12Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 2, "shard_sample_count": 192, "processed": 56, "total": 192, "accepted": 5, "progress_fraction": 0.2916666666666667, "samples_per_min": 4.378574432363562, "eta_min": 31.060337582656317, "elapsed_sec": 767.3730461597443, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "ltspice-spice-circuits_hf:train-00000-of-00001.parquet:0:22492", "last_graph_hash": "82265c60544a1bb2d610b6520c73316807ea031c", "last_status": "router_fail", "last_dataset_root": "ltspice-spice-circuits_hf", "status_counts": {"accepted": 5, "router_fail": 35, "cp_sat_fail": 16}, "failure_reason_counts": {"router_fail": 35, "cp_sat_fail": 16}, "processed_by_root": {"open-schematics_hf": 40, "ltspice-spice-circuits_hf": 13, "ams-net.github.io": 3}, "accepted_by_root": {"open-schematics_hf": 2, "ams-net.github.io": 2, "ltspice-spice-circuits_hf": 1}}}

netlist_to_layout_v1/runs/routerfix-patched-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_00.progress.json

@@ -0,0 +1,44 @@
+{
+  "status": "evaluating",
+  "updated_at": "2026-03-10T17:25:12Z",
+  "checkpoint_step": 8000,
+  "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt",
+  "split": "val",
+  "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json",
+  "manifest_size": 384,
+  "shard_index": 0,
+  "shard_count": 2,
+  "shard_sample_count": 192,
+  "processed": 56,
+  "total": 192,
+  "accepted": 5,
+  "progress_fraction": 0.2916666666666667,
+  "samples_per_min": 4.378574432363562,
+  "eta_min": 31.060337582656317,
+  "elapsed_sec": 767.3730461597443,
+  "sample_workers": 8,
+  "solver_workers_per_sample": 6,
+  "last_sample_id": "ltspice-spice-circuits_hf:train-00000-of-00001.parquet:0:22492",
+  "last_graph_hash": "82265c60544a1bb2d610b6520c73316807ea031c",
+  "last_status": "router_fail",
+  "last_dataset_root": "ltspice-spice-circuits_hf",
+  "status_counts": {
+    "accepted": 5,
+    "router_fail": 35,
+    "cp_sat_fail": 16
+  },
+  "failure_reason_counts": {
+    "router_fail": 35,
+    "cp_sat_fail": 16
+  },
+  "processed_by_root": {
+    "open-schematics_hf": 40,
+    "ltspice-spice-circuits_hf": 13,
+    "ams-net.github.io": 3
+  },
+  "accepted_by_root": {
+    "open-schematics_hf": 2,
+    "ams-net.github.io": 2,
+    "ltspice-spice-circuits_hf": 1
+  }
+}

netlist_to_layout_v1/runs/routerfix-patched-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_01.log

@@ -0,0 +1,13 @@
+/workspace/circuitgen-datasets-private/netlist_to_layout_v1/eval_shard_worker.py:43: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  samples = torch.load(split_path)
+{"eval_shard_progress": {"status": "starting", "updated_at": "2026-03-10T17:12:25Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 2, "shard_sample_count": 192, "processed": 0, "total": 192, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 5.4836273193359375e-06, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+/workspace/circuitgen-datasets-private/netlist_to_layout_v1/eval_shard_worker.py:172: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  payload = torch.load(args.checkpoint, map_location="cpu")
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:12:28Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 2, "shard_sample_count": 192, "processed": 0, "total": 192, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 3.2915406227111816, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:12:54Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 2, "shard_sample_count": 192, "processed": 8, "total": 192, "accepted": 2, "progress_fraction": 0.041666666666666664, "samples_per_min": 16.295378760208337, "eta_min": 11.291544842720032, "elapsed_sec": 29.456203937530518, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00028-of-00078.parquet:1:103", "last_graph_hash": "9548b9a1981049796ac3dfb7f83d2cbdb24ccfb3", "last_status": "cp_sat_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"cp_sat_fail": 5, "accepted": 2, "router_fail": 1}, "failure_reason_counts": {"cp_sat_fail": 5, "router_fail": 1}, "processed_by_root": {"open-schematics_hf": 7, "ltspice-spice-circuits_hf": 1}, "accepted_by_root": {"open-schematics_hf": 2}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:15:40Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 2, "shard_sample_count": 192, "processed": 16, "total": 192, "accepted": 2, "progress_fraction": 0.08333333333333333, "samples_per_min": 4.9049745471109825, "eta_min": 35.8819395105044, "elapsed_sec": 195.71967005729675, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00016-of-00078.parquet:0:292", "last_graph_hash": "de8b2ea46733a71e066e15e866b22a945188bd1f", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"cp_sat_fail": 5, "accepted": 2, "router_fail": 9}, "failure_reason_counts": {"cp_sat_fail": 5, "router_fail": 9}, "processed_by_root": {"open-schematics_hf": 13, "ltspice-spice-circuits_hf": 3}, "accepted_by_root": {"open-schematics_hf": 2}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:16:17Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 2, "shard_sample_count": 192, "processed": 24, "total": 192, "accepted": 2, "progress_fraction": 0.125, "samples_per_min": 6.190179365243535, "eta_min": 27.13976285457611, "elapsed_sec": 232.62653875350952, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00021-of-00078.parquet:1:245", "last_graph_hash": "de456951191d12ecf60fb1828de17acd361fe118", "last_status": "cp_sat_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"cp_sat_fail": 9, "accepted": 2, "router_fail": 13}, "failure_reason_counts": {"cp_sat_fail": 9, "router_fail": 13}, "processed_by_root": {"open-schematics_hf": 19, "ltspice-spice-circuits_hf": 5}, "accepted_by_root": {"open-schematics_hf": 2}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:18:58Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 2, "shard_sample_count": 192, "processed": 32, "total": 192, "accepted": 2, "progress_fraction": 0.16666666666666666, "samples_per_min": 4.87974604191828, "eta_min": 32.78859158356985, "elapsed_sec": 393.46309900283813, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00001-of-00078.parquet:0:66", "last_graph_hash": "cc2686a06efcb12c07cb1cb73fe843ed9876a757", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"cp_sat_fail": 9, "accepted": 2, "router_fail": 21}, "failure_reason_counts": {"cp_sat_fail": 9, "router_fail": 21}, "processed_by_root": {"open-schematics_hf": 26, "ltspice-spice-circuits_hf": 6}, "accepted_by_root": {"open-schematics_hf": 2}}}
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+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:22:39Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 2, "shard_sample_count": 192, "processed": 48, "total": 192, "accepted": 5, "progress_fraction": 0.25, "samples_per_min": 4.684639084578648, "eta_min": 30.73876074552536, "elapsed_sec": 614.7752149105072, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00001-of-00078.parquet:1:510", "last_graph_hash": "81512b6b397906a251c47d42f94b5202e572a696", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"cp_sat_fail": 10, "accepted": 5, "router_fail": 33}, "failure_reason_counts": {"cp_sat_fail": 10, "router_fail": 33}, "processed_by_root": {"open-schematics_hf": 37, "ltspice-spice-circuits_hf": 11}, "accepted_by_root": {"open-schematics_hf": 4, "ltspice-spice-circuits_hf": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:25:07Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 1, "shard_count": 2, "shard_sample_count": 192, "processed": 56, "total": 192, "accepted": 5, "progress_fraction": 0.2916666666666667, "samples_per_min": 4.405604109194527, "eta_min": 30.869773277214595, "elapsed_sec": 762.6649868488312, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00012-of-00078.parquet:0:209", "last_graph_hash": "09ca45105d7ba99bcf212bda14d43b574de574e9", "last_status": "cp_sat_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"cp_sat_fail": 13, "accepted": 5, "router_fail": 38}, "failure_reason_counts": {"cp_sat_fail": 13, "router_fail": 38}, "processed_by_root": {"open-schematics_hf": 42, "ltspice-spice-circuits_hf": 13, "ams-net.github.io": 1}, "accepted_by_root": {"open-schematics_hf": 4, "ltspice-spice-circuits_hf": 1}}}

netlist_to_layout_v1/runs/routerfix-patched-normal384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_01.progress.json

@@ -0,0 +1,43 @@
+{
+  "status": "evaluating",
+  "updated_at": "2026-03-10T17:25:07Z",
+  "checkpoint_step": 8000,
+  "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt",
+  "split": "val",
+  "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json",
+  "manifest_size": 384,
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+  "last_graph_hash": "09ca45105d7ba99bcf212bda14d43b574de574e9",
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+  "last_dataset_root": "open-schematics_hf",
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+    "ltspice-spice-circuits_hf": 1
+  }
+}

netlist_to_layout_v1/runs/routerfix-patched-oracle-candidate384-rbm0e2t3/full_machine_eval_state.json

@@ -0,0 +1,91 @@
+{
+  "status": "stopped_after_negative_oracle_layout_gate",
+  "updated_at": "2026-03-10T17:36:13Z",
+  "stop_reason": "Stopped after routerfix-patched-oracle-layout384-rbm0e2t3 regressed versus the clean oracle-layout reduced baseline.",
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+      "split": "val",
+      "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json",
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+  }
+}

netlist_to_layout_v1/runs/routerfix-patched-oracle-candidate384-rbm0e2t3/launcher.log

@@ -0,0 +1,56 @@
+{"full_machine_eval": {"status": "launching_shards", "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "gpus": ["2"], "cpusets": ["104-155"], "updated_at": "2026-03-10T17:17:24Z"}}
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+{"full_machine_eval": {"status": "progress", "step": 8000, "processed": 32, "total": 384, "accepted": 6, "progress_fraction": 0.08333333333333333, "samples_per_min": 3.5318899946197937, "eta_min": 99.66335320075353, "completed_shards": 0, "updated_at": "2026-03-10T17:26:27Z"}}

netlist_to_layout_v1/runs/routerfix-patched-oracle-candidate384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_00.log

@@ -0,0 +1,10 @@
+/workspace/circuitgen-datasets-private/netlist_to_layout_v1/eval_shard_worker.py:43: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  samples = torch.load(split_path)
+{"eval_shard_progress": {"status": "starting", "updated_at": "2026-03-10T17:17:29Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 1, "shard_sample_count": 384, "processed": 0, "total": 384, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 5.0067901611328125e-06, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+/workspace/circuitgen-datasets-private/netlist_to_layout_v1/eval_shard_worker.py:172: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  payload = torch.load(args.checkpoint, map_location="cpu")
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:17:34Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 1, "shard_sample_count": 384, "processed": 0, "total": 384, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 4.130876064300537, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:19:04Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 1, "shard_sample_count": 384, "processed": 8, "total": 384, "accepted": 3, "progress_fraction": 0.020833333333333332, "samples_per_min": 5.09977381272961, "eta_min": 73.728760099411, "elapsed_sec": 94.12182140350342, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00008-of-00078.parquet:1:243", "last_graph_hash": "b18454d0f68b852b42ee9043f208a43fc12f9456", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 3, "cp_sat_fail": 2, "router_fail": 3}, "failure_reason_counts": {"cp_sat_fail": 2, "router_fail": 3}, "processed_by_root": {"open-schematics_hf": 5, "ltspice-spice-circuits_hf": 3}, "accepted_by_root": {"open-schematics_hf": 3}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:21:45Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 1, "shard_sample_count": 384, "processed": 16, "total": 384, "accepted": 3, "progress_fraction": 0.041666666666666664, "samples_per_min": 3.7596095160470484, "eta_min": 97.88250573078791, "elapsed_sec": 255.34566712379456, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00028-of-00078.parquet:0:193", "last_graph_hash": "8d2423b96fc0597259d2cb4decdf9bc778b640db", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 3, "cp_sat_fail": 2, "router_fail": 11}, "failure_reason_counts": {"cp_sat_fail": 2, "router_fail": 11}, "processed_by_root": {"open-schematics_hf": 12, "ltspice-spice-circuits_hf": 4}, "accepted_by_root": {"open-schematics_hf": 3}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:22:53Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 1, "shard_sample_count": 384, "processed": 24, "total": 384, "accepted": 6, "progress_fraction": 0.0625, "samples_per_min": 4.456593982273775, "eta_min": 80.77917832136154, "elapsed_sec": 323.11671328544617, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00003-of-00078.parquet:0:394", "last_graph_hash": "73c92aa7d89a509eedef7d451ee0a90341060cc8", "last_status": "cp_sat_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 6, "cp_sat_fail": 4, "router_fail": 14}, "failure_reason_counts": {"cp_sat_fail": 4, "router_fail": 14}, "processed_by_root": {"open-schematics_hf": 15, "ltspice-spice-circuits_hf": 8, "ams-net.github.io": 1}, "accepted_by_root": {"open-schematics_hf": 4, "ams-net.github.io": 1, "ltspice-spice-circuits_hf": 1}}}
+{"eval_shard_progress": {"status": "evaluating", "updated_at": "2026-03-10T17:25:37Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 1, "shard_sample_count": 384, "processed": 32, "total": 384, "accepted": 6, "progress_fraction": 0.08333333333333333, "samples_per_min": 3.936788009555835, "eta_min": 89.41299331982931, "elapsed_sec": 487.707236289978, "sample_workers": 8, "solver_workers_per_sample": 6, "last_sample_id": "open-schematics_hf:train-00016-of-00078.parquet:0:292", "last_graph_hash": "de8b2ea46733a71e066e15e866b22a945188bd1f", "last_status": "router_fail", "last_dataset_root": "open-schematics_hf", "status_counts": {"accepted": 6, "cp_sat_fail": 4, "router_fail": 22}, "failure_reason_counts": {"cp_sat_fail": 4, "router_fail": 22}, "processed_by_root": {"open-schematics_hf": 23, "ltspice-spice-circuits_hf": 8, "ams-net.github.io": 1}, "accepted_by_root": {"open-schematics_hf": 4, "ams-net.github.io": 1, "ltspice-spice-circuits_hf": 1}}}

netlist_to_layout_v1/runs/routerfix-patched-oracle-candidate384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_00.progress.json

@@ -0,0 +1,44 @@
+{
+  "status": "evaluating",
+  "updated_at": "2026-03-10T17:25:37Z",
+  "checkpoint_step": 8000,
+  "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt",
+  "split": "val",
+  "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json",
+  "manifest_size": 384,
+  "shard_index": 0,
+  "shard_count": 1,
+  "shard_sample_count": 384,
+  "processed": 32,
+  "total": 384,
+  "accepted": 6,
+  "progress_fraction": 0.08333333333333333,
+  "samples_per_min": 3.936788009555835,
+  "eta_min": 89.41299331982931,
+  "elapsed_sec": 487.707236289978,
+  "sample_workers": 8,
+  "solver_workers_per_sample": 6,
+  "last_sample_id": "open-schematics_hf:train-00016-of-00078.parquet:0:292",
+  "last_graph_hash": "de8b2ea46733a71e066e15e866b22a945188bd1f",
+  "last_status": "router_fail",
+  "last_dataset_root": "open-schematics_hf",
+  "status_counts": {
+    "accepted": 6,
+    "cp_sat_fail": 4,
+    "router_fail": 22
+  },
+  "failure_reason_counts": {
+    "cp_sat_fail": 4,
+    "router_fail": 22
+  },
+  "processed_by_root": {
+    "open-schematics_hf": 23,
+    "ltspice-spice-circuits_hf": 8,
+    "ams-net.github.io": 1
+  },
+  "accepted_by_root": {
+    "open-schematics_hf": 4,
+    "ams-net.github.io": 1,
+    "ltspice-spice-circuits_hf": 1
+  }
+}

netlist_to_layout_v1/runs/routerfix-patched-oracle-layout384-rbm0e2t3/best_full_eval.json

@@ -0,0 +1,770 @@
+{
+  "micro_topology_exact_match_rate": 0.0625,
+  "topology_exact_match_rate": 0.0625,
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+}

netlist_to_layout_v1/runs/routerfix-patched-oracle-layout384-rbm0e2t3/full_eval_metrics.jsonl

@@ -0,0 +1 @@
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netlist_to_layout_v1/runs/routerfix-patched-oracle-layout384-rbm0e2t3/full_machine_eval_state.json

@@ -0,0 +1,782 @@
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+}

netlist_to_layout_v1/runs/routerfix-patched-oracle-layout384-rbm0e2t3/launcher.log

@@ -0,0 +1,6 @@
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netlist_to_layout_v1/runs/routerfix-patched-oracle-layout384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_00.json

@@ -0,0 +1,950 @@
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+        "router_fail": 134,
+        "accepted": 2
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+      "failure_reason_counts": {
+        "router_fail": 134
+      },
+      "score_tuple": [
+        134,
+        5,
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+        1702.0,
+        127232.0
+      ],
+      "diagnostic_counts": {
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+        "gold_component_in_cartesian_hits": 0,
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+      "diagnostics": {
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+        "gold_y_top8_recall": 0.0,
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+        "gold_rot_top4_recall": 0.0,
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+        "gold_selected_any_attempt_rate": 0.0
+      },
+      "router_fail_net_class_counts": {
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+        "other": 18,
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+        "VBAT": 1
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+      "cp_sat_terminal_status_counts": {},
+      "macro_topology_exact_match_rate": null
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+    "49-64": {
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+        "gold_component_in_cartesian_hits": 0,
+        "gold_component_in_solver_hits": 0
+      },
+      "diagnostics": {
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+        "gold_y_top8_recall": 0.0,
+        "gold_rot_top2_recall": 0.0,
+        "gold_rot_top4_recall": 0.0,
+        "gold_component_in_cartesian_shortlist_rate": 0.0,
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+        "gold_selected_any_attempt_rate": 0.0
+      },
+      "router_fail_net_class_counts": {
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+      },
+      "cp_sat_terminal_status_counts": {},
+      "macro_topology_exact_match_rate": null
+    }
+  },
+  "evaluated_at": "2026-03-10T17:24:22Z",
+  "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt",
+  "split": "val",
+  "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json",
+  "manifest_size": 384,
+  "shard_index": 0,
+  "shard_count": 1,
+  "shard_sample_count": 384,
+  "sample_workers": 16,
+  "solver_workers_per_sample": 0,
+  "eval_mode": "oracle_layout",
+  "force_dataset_root": null,
+  "solve_stages": [
+    {
+      "top_x": 4,
+      "top_y": 4,
+      "top_rot": 2,
+      "max_solver_candidates": 16,
+      "cp_sat_timeout_seconds": 10.0,
+      "component_candidate_cap": 32
+    }
+  ],
+  "routing_options": {
+    "placement_margin": 2,
+    "routing_block_margin": 0,
+    "pin_escape_cells": 2,
+    "trunk_first_min_degree": 3,
+    "trunk_first_priority_only": false
+  }
+}

netlist_to_layout_v1/runs/routerfix-patched-oracle-layout384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_00.log

@@ -0,0 +1,54 @@
+/workspace/circuitgen-datasets-private/netlist_to_layout_v1/eval_shard_worker.py:43: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  samples = torch.load(split_path)
+{"eval_shard_progress": {"status": "starting", "updated_at": "2026-03-10T17:24:00Z", "checkpoint_step": 8000, "checkpoint": "/workspace/circuitgen-datasets-private/experiments/netlist_to_layout_v1/v1-overlay-exact-20260307-stageB8000_step0001-008000/checkpoints/step-008000.pt", "split": "val", "manifest": "/workspace/circuitgen-datasets-private/netlist_to_layout_v1/runs/diag-20260308-manifests/val_custom_n384_root_size_seed1337.json", "manifest_size": 384, "shard_index": 0, "shard_count": 1, "shard_sample_count": 384, "processed": 0, "total": 384, "accepted": 0, "progress_fraction": 0.0, "samples_per_min": 0.0, "eta_min": null, "elapsed_sec": 5.0067901611328125e-06, "sample_workers": 16, "solver_workers_per_sample": 0, "last_sample_id": null, "last_graph_hash": null, "last_status": null, "last_dataset_root": null, "status_counts": {}, "failure_reason_counts": {}, "processed_by_root": {}, "accepted_by_root": {}}}
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netlist_to_layout_v1/runs/routerfix-patched-oracle-layout384-rbm0e2t3/posttrain_full_eval_tmp/step-008000/shard_00.progress.json

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+  "last_graph_hash": null,
+  "last_status": null,
+  "last_dataset_root": null,
+  "status_counts": {
+    "router_fail": 359,
+    "accepted": 24,
+    "verify_fail": 1
+  },
+  "failure_reason_counts": {
+    "router_fail": 359,
+    "verify_fail": 1
+  },
+  "processed_by_root": {},
+  "accepted_by_root": {}
+}

netlist_to_layout_v1/scripts/launch_train_detached.sh

@@ -5,35 +5,39 @@ RUN_NAME="${1:-v1-$(date -u +%Y%m%d-%H%M%S)}"
 ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
 REPO_DIR="$(cd "${ROOT_DIR}/.." && pwd)"
 RUN_DIR="${ROOT_DIR}/runs/${RUN_NAME}"
-MAX_STEPS="${MAX_STEPS:-12000}"
+DATA_ROOT="${DATA_ROOT:-${REPO_DIR}/derived/cgdsl/20260307-081439-fix-open-netlistify-ams-overlay}"
+CACHE_DIR="${CACHE_DIR:-${ROOT_DIR}/cache_overlay_20260307_exact}"
+MAX_STEPS="${MAX_STEPS:-100000}"
 mkdir -p "${RUN_DIR}"
 
 cat > "${RUN_DIR}/launch_inner.sh" <<'EOF'
 #!/usr/bin/env bash
 set -euo pipefail
 ROOT_DIR="__ROOT_DIR__"
-REPO_DIR="__REPO_DIR__"
 RUN_NAME="__RUN_NAME__"
+DATA_ROOT="__DATA_ROOT__"
+CACHE_DIR="__CACHE_DIR__"
 MAX_STEPS="__MAX_STEPS__"
 cd "${ROOT_DIR}"
 export PYTHONPATH="${ROOT_DIR}"
-python -m layout_v1.preprocess --cache-dir "${ROOT_DIR}/cache" --data-root "${REPO_DIR}/derived/cgdsl/20260305-134840-fix-build-cgdsl-patched"
+python -m layout_v1.preprocess --cache-dir "${CACHE_DIR}" --data-root "${DATA_ROOT}"
 torchrun --standalone --nproc_per_node=4 train.py \
   --run-name "${RUN_NAME}" \
-  --data-root "${REPO_DIR}/derived/cgdsl/20260305-134840-fix-build-cgdsl-patched" \
-  --cache-dir "${ROOT_DIR}/cache" \
+  --data-root "${DATA_ROOT}" \
+  --cache-dir "${CACHE_DIR}" \
   --run-dir "${ROOT_DIR}/runs" \
   --bf16 \
   --max-steps "${MAX_STEPS}"
 EOF
 
 sed -i "s#__ROOT_DIR__#${ROOT_DIR}#g" "${RUN_DIR}/launch_inner.sh"
-sed -i "s#__REPO_DIR__#${REPO_DIR}#g" "${RUN_DIR}/launch_inner.sh"
 sed -i "s#__RUN_NAME__#${RUN_NAME}#g" "${RUN_DIR}/launch_inner.sh"
+sed -i "s#__DATA_ROOT__#${DATA_ROOT}#g" "${RUN_DIR}/launch_inner.sh"
+sed -i "s#__CACHE_DIR__#${CACHE_DIR}#g" "${RUN_DIR}/launch_inner.sh"
 sed -i "s#__MAX_STEPS__#${MAX_STEPS}#g" "${RUN_DIR}/launch_inner.sh"
 chmod +x "${RUN_DIR}/launch_inner.sh"
 
-nohup bash "${RUN_DIR}/launch_inner.sh" > "${RUN_DIR}/launcher.log" 2>&1 < /dev/null &
+nohup setsid bash "${RUN_DIR}/launch_inner.sh" > "${RUN_DIR}/launcher.log" 2>&1 < /dev/null &
 echo $! > "${RUN_DIR}/train.pid"
 echo "started ${RUN_NAME} with pid $(cat "${RUN_DIR}/train.pid")"
 echo "log: ${RUN_DIR}/launcher.log"

netlist_to_layout_v1/scripts/router_regression_checks.py

@@ -0,0 +1,107 @@
+#!/usr/bin/env python
+from __future__ import annotations
+
+import sys
+
+from layout_v1.router import (
+    _astar,
+    _extend_pin_escape_corridor,
+    _select_attach_candidate,
+    route_layout,
+)
+from layout_v1.templates import TemplateLibrary
+
+
+def _template_library() -> TemplateLibrary:
+    return TemplateLibrary(
+        {
+            "rotation_vocab_values": [0, 90, 180, 270],
+            "mirror_vocab_values": ["NONE"],
+            "footprint_table": {},
+            "default_footprints": {},
+        }
+    )
+
+
+def case_blocked_nearest_routable_second() -> None:
+    tree_cells = {(4, 4), (4, 5), (4, 6)}
+    remaining = {(6, 5), (7, 8)}
+    blocked = {(5, 5), (6, 4), (6, 6), (7, 5)}
+    best_pin, path, debug = _select_attach_candidate(
+        remaining=remaining,
+        tree_cells=tree_cells,
+        blocked=blocked,
+        allowed=tree_cells,
+    )
+    assert best_pin == (7, 8), debug
+    assert path is not None, debug
+    assert path[-1] in tree_cells, path
+    assert debug["attempted_attach_pins"][0] == [6, 5], debug
+    assert debug["successful_attach_candidates"] == [
+        {"pin": [7, 8], "manhattan_distance": 5, "path_length": len(path) - 1}
+    ], debug
+
+
+def case_compact_corner_pin_escape() -> None:
+    blocked_cells = {(x, y) for x in range(8, 13) for y in range(8, 13)}
+    pin = (10, 10)
+    blocked_cells.discard(pin)
+    _extend_pin_escape_corridor(
+        blocked_cells=blocked_cells,
+        reserve_box=(10, 10, 12, 12),
+        pin=pin,
+        placement_x=11,
+        placement_y=11,
+        pin_escape_cells=1,
+    )
+    path = _astar(pin, {(8, 9)}, blocked=blocked_cells, allowed={pin})
+    assert path is not None, "corner-pin escape should open a turn-capable route"
+    assert (9, 9) in path, path
+
+
+def case_simple_two_pin_route() -> None:
+    template_library = _template_library()
+    sample = {
+        "components": [
+            {"cid": "r1", "type_name": "resistor", "pin_roles": ["a", "b"]},
+            {"cid": "r2", "type_name": "resistor", "pin_roles": ["a", "b"]},
+        ],
+        "nets": [
+            {"nid": "n1", "name": "NET1", "degree": 2, "members": [["r1", "b"], ["r2", "a"]]},
+        ],
+    }
+    placements = [
+        {"cid": "r1", "x": 40, "y": 40, "rot": 0, "mirror": "NONE"},
+        {"cid": "r2", "x": 80, "y": 40, "rot": 0, "mirror": "NONE"},
+    ]
+    status, routed_wires, metrics, debug = route_layout(
+        sample=sample,
+        placements=placements,
+        template_library=template_library,
+        routing_block_margin=0,
+        pin_escape_cells=2,
+        trunk_first_min_degree=3,
+    )
+    assert status == "ok", (status, debug)
+    assert routed_wires, "expected at least one routed wire segment"
+    assert metrics["wire_length"] > 0, metrics
+
+
+def main() -> int:
+    cases = [
+        ("blocked_nearest_routable_second", case_blocked_nearest_routable_second),
+        ("compact_corner_pin_escape", case_compact_corner_pin_escape),
+        ("simple_two_pin_route", case_simple_two_pin_route),
+    ]
+    for name, fn in cases:
+        fn()
+        print(f"PASS {name}")
+    return 0
+
+
+if __name__ == "__main__":
+    try:
+        raise SystemExit(main())
+    except AssertionError as exc:
+        print(f"FAIL {exc}", file=sys.stderr)
+        raise SystemExit(1)