| { |
| "candidate_declared_mib": 512, |
| "cases": { |
| "candidate": { |
| "file_bytes": 5558, |
| "path": "research/triage/audits/torch-export-2026-06-24/poc/zero-payload-512m.pt2", |
| "reads": { |
| "as_1200m": { |
| "children_maxrss_kb_after": 800792, |
| "children_maxrss_kb_delta_floor": 0, |
| "returncode": 0, |
| "stderr_tail": "/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/_subclasses/functional_tensor.py:362: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:84.)\n cpu = _conversion_method_template(device=torch.device(\"cpu\"))\nW0624 10:16:19.048000 320285 torch/export/pt2_archive/_package.py:798] Cannot call torch.frombuffer() on empty bytes. Creating a tensor with zeros as workaround.\n", |
| "stdout": "{'shape': (134217728,), 'numel': 134217728}" |
| }, |
| "as_700m": { |
| "children_maxrss_kb_after": 800792, |
| "children_maxrss_kb_delta_floor": 0, |
| "returncode": 1, |
| "stderr_tail": "3 torch/export/__init__.py:348] ^^^^^^^^^^^^^^^^\nW0624 10:16:16.051000 320283 torch/export/__init__.py:348] File \"/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/export/pt2_archive/_package.py\", line 829, in _build_file_map\nW0624 10:16:16.051000 320283 torch/export/__init__.py:348] tensor = _create_flat_tensor_from_bytes(tensor_bytes, payload_meta.tensor_meta)\nW0624 10:16:16.051000 320283 torch/export/__init__.py:348] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nW0624 10:16:16.051000 320283 torch/export/__init__.py:348] File \"/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/export/pt2_archive/_package.py\", line 802, in _create_flat_tensor_from_bytes\nW0624 10:16:16.051000 320283 torch/export/__init__.py:348] tensor = torch.zeros(size, dtype=dtype, device=device)\nW0624 10:16:16.051000 320283 torch/export/__init__.py:348] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nW0624 10:16:16.051000 320283 torch/export/__init__.py:348] RuntimeError: [enforce fail at alloc_cpu.cpp:127] err == 0. DefaultCPUAllocator: can't allocate memory: you tried to allocate 536870912 bytes. Error code 12 (Cannot allocate memory)\nTraceback (most recent call last):\n File \"<string>\", line 7, in <module>\n File \"/home/bradd/.openclaw/workspace/research/triage/audits/torch-export-2026-06-24/poc/mutate_and_measure_pt2_zero_payload.py\", line 39, in load_pt2\n obj = torch.export.load(path)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/export/__init__.py\", line 360, in load\n raise RuntimeError(\nRuntimeError: We ran into an error when deserializing the saved file. Please check the warnings above for possible errors. \n", |
| "stdout": "" |
| }, |
| "as_900m": { |
| "children_maxrss_kb_after": 800792, |
| "children_maxrss_kb_delta_floor": 0, |
| "returncode": 1, |
| "stderr_tail": "4 torch/export/__init__.py:348] ^^^^^^^^^^^^^^^^\nW0624 10:16:17.557000 320284 torch/export/__init__.py:348] File \"/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/export/pt2_archive/_package.py\", line 829, in _build_file_map\nW0624 10:16:17.557000 320284 torch/export/__init__.py:348] tensor = _create_flat_tensor_from_bytes(tensor_bytes, payload_meta.tensor_meta)\nW0624 10:16:17.557000 320284 torch/export/__init__.py:348] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nW0624 10:16:17.557000 320284 torch/export/__init__.py:348] File \"/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/export/pt2_archive/_package.py\", line 802, in _create_flat_tensor_from_bytes\nW0624 10:16:17.557000 320284 torch/export/__init__.py:348] tensor = torch.zeros(size, dtype=dtype, device=device)\nW0624 10:16:17.557000 320284 torch/export/__init__.py:348] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nW0624 10:16:17.557000 320284 torch/export/__init__.py:348] RuntimeError: [enforce fail at alloc_cpu.cpp:127] err == 0. DefaultCPUAllocator: can't allocate memory: you tried to allocate 536870912 bytes. Error code 12 (Cannot allocate memory)\nTraceback (most recent call last):\n File \"<string>\", line 7, in <module>\n File \"/home/bradd/.openclaw/workspace/research/triage/audits/torch-export-2026-06-24/poc/mutate_and_measure_pt2_zero_payload.py\", line 39, in load_pt2\n obj = torch.export.load(path)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/export/__init__.py\", line 360, in load\n raise RuntimeError(\nRuntimeError: We ran into an error when deserializing the saved file. Please check the warnings above for possible errors. \n", |
| "stdout": "" |
| }, |
| "uncapped": { |
| "children_maxrss_kb_after": 800792, |
| "children_maxrss_kb_delta_floor": 523132, |
| "returncode": 0, |
| "stderr_tail": "/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/_subclasses/functional_tensor.py:362: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:84.)\n cpu = _conversion_method_template(device=torch.device(\"cpu\"))\nW0624 10:16:14.401000 320271 torch/export/pt2_archive/_package.py:798] Cannot call torch.frombuffer() on empty bytes. Creating a tensor with zeros as workaround.\n", |
| "stdout": "{'shape': (134217728,), 'numel': 134217728}" |
| } |
| } |
| }, |
| "control": { |
| "file_bytes": 6160, |
| "path": "research/triage/audits/torch-export-2026-06-24/poc/control.pt2", |
| "reads": { |
| "as_1200m": { |
| "children_maxrss_kb_after": 277660, |
| "children_maxrss_kb_delta_floor": 0, |
| "returncode": 0, |
| "stderr_tail": "/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/_subclasses/functional_tensor.py:362: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:84.)\n cpu = _conversion_method_template(device=torch.device(\"cpu\"))\n/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/export/pt2_archive/_package.py:793: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_new.cpp:1576.)\n tensor = torch.frombuffer(\n", |
| "stdout": "{'shape': (1,), 'numel': 1}" |
| }, |
| "as_700m": { |
| "children_maxrss_kb_after": 277648, |
| "children_maxrss_kb_delta_floor": 404, |
| "returncode": 0, |
| "stderr_tail": "/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/_subclasses/functional_tensor.py:362: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:84.)\n cpu = _conversion_method_template(device=torch.device(\"cpu\"))\n/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/export/pt2_archive/_package.py:793: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_new.cpp:1576.)\n tensor = torch.frombuffer(\n", |
| "stdout": "{'shape': (1,), 'numel': 1}" |
| }, |
| "as_900m": { |
| "children_maxrss_kb_after": 277660, |
| "children_maxrss_kb_delta_floor": 12, |
| "returncode": 0, |
| "stderr_tail": "/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/_subclasses/functional_tensor.py:362: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:84.)\n cpu = _conversion_method_template(device=torch.device(\"cpu\"))\n/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/export/pt2_archive/_package.py:793: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_new.cpp:1576.)\n tensor = torch.frombuffer(\n", |
| "stdout": "{'shape': (1,), 'numel': 1}" |
| }, |
| "uncapped": { |
| "children_maxrss_kb_after": 277244, |
| "children_maxrss_kb_delta_floor": 277244, |
| "returncode": 0, |
| "stderr_tail": "/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/_subclasses/functional_tensor.py:362: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:84.)\n cpu = _conversion_method_template(device=torch.device(\"cpu\"))\n/home/bradd/.openclaw/workspace/research/triage/audits/pytorch-archive-tar-2026-06-23/.venv-torch/lib/python3.12/site-packages/torch/export/pt2_archive/_package.py:793: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_new.cpp:1576.)\n tensor = torch.frombuffer(\n", |
| "stdout": "{'shape': (1,), 'numel': 1}" |
| } |
| } |
| } |
| } |
| } |
|
|
