Error: C-LOW-C5_lbfgs

C/LOW/C5_lbfgs/seed0_ERROR/error.json

@@ -0,0 +1,18 @@
+{
+  "config": {
+    "group": "C",
+    "variant": "C5_lbfgs",
+    "band": "LOW",
+    "seed": 0,
+    "phase": 1,
+    "overrides": {
+      "optimizer": "lbfgs",
+      "lr": 1.0,
+      "batch_size": 32
+    },
+    "description": "C-LOW-C5_lbfgs"
+  },
+  "error": "linalg.eigh: (Batch element 0): The algorithm failed to converge because the input matrix is ill-conditioned or has too many repeated eigenvalues (error code: 15).",
+  "traceback": "Traceback (most recent call last):\n  File \"/tmp/ipykernel_588/791283225.py\", line 161, in run_phase1\n    result = run_ablation_config(\n             ^^^^^^^^^^^^^^^^^^^^\n  File \"/tmp/ipykernel_588/1753124828.py\", line 437, in run_ablation_config\n    opt.step(closure)\n  File \"/usr/local/lib/python3.12/dist-packages/torch/optim/lr_scheduler.py\", line 166, in wrapper\n    return func.__get__(opt, opt.__class__)(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/dist-packages/torch/optim/optimizer.py\", line 526, in wrapper\n    out = func(*args, **kwargs)\n          ^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/dist-packages/torch/utils/_contextlib.py\", line 124, in decorate_context\n    return func(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/dist-packages/torch/optim/lbfgs.py\", line 498, in step\n    loss = closure()\n           ^^^^^^^^^\n  File \"/usr/local/lib/python3.12/dist-packages/torch/utils/_contextlib.py\", line 124, in decorate_context\n    return func(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^\n  File \"/tmp/ipykernel_588/1753124828.py\", line 415, in closure\n    _out = model(images)\n           ^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\n    return self._call_impl(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\n    return forward_call(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/tmp/ipykernel_588/2994023296.py\", line 408, in forward\n    svd = self.encode_patches(patches)\n          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/tmp/ipykernel_588/1753124828.py\", line 180, in encode_patches\n    U, S, Vt = _svd_fp64(M)\n               ^^^^^^^^^^^^\n  File \"/tmp/ipykernel_588/2994023296.py\", line 105, in _svd_fp64\n    return _gram_eigh_svd(A)\n           ^^^^^^^^^^^^^^^^^\n  File \"/tmp/ipykernel_588/2994023296.py\", line 79, in _gram_eigh_svd\n    eigenvalues, V = torch.linalg.eigh(G)\n                     ^^^^^^^^^^^^^^^^^^^^\ntorch._C._LinAlgError: linalg.eigh: (Batch element 0): The algorithm failed to converge because the input matrix is ill-conditioned or has too many repeated eigenvalues (error code: 15).\n",
+  "timestamp": "2026-04-20T23:11:33.332645"
+}