[
  {
    "pwd": "/home/qcqcqc/workspace/execve_hook",
    "cmd": "/home/qcqcqc/miniconda3/bin/python",
    "args": [
      "python",
      "/home/qcqcqc/workspace/pytorch_tests/image_error.py"
    ],
    "error": "Traceback (most recent call last):\n                    File \"/home/qcqcqc/workspace/pytorch_tests/image_error.py\", line 55, in <module>\n                        loss = criterion(outputs, labels)\n                            ^^^^^^^^^^^^^^^^^^^^^^^^^^\n                    File \"/home/qcqcqc/miniconda3/lib/python3.12/site-packages/torch/nn/modules/module.py\", line 1739, in _wrapped_call_impl\n                        return self._call_impl(*args, **kwargs)\n                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n                    File \"/home/qcqcqc/miniconda3/lib/python3.12/site-packages/torch/nn/modules/module.py\", line 1750, in _call_impl\n                        return forward_call(*args, **kwargs)\n                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n                    File \"/home/qcqcqc/miniconda3/lib/python3.12/site-packages/torch/nn/modules/loss.py\", line 1295, in forward\n                        return F.cross_entropy(\n                            ^^^^^^^^^^^^^^^^\n                    File \"/home/qcqcqc/miniconda3/lib/python3.12/site-packages/torch/nn/functional.py\", line 3494, in cross_entropy\n                        return torch._C._nn.cross_entropy_loss(\n                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n                    IndexError: Target 15 is out of bounds.",
    "env": {},
    "productId": "",
    "instanceId": ""
  },
  {
    "pwd": "/home/qcqcqc/workspace/execve_hook",
    "cmd": "/home/qcqcqc/miniconda3/bin/python",
    "args": [
      "python",
      "/home/qcqcqc/workspace/pytorch_tests/rnn_error.py"
    ],
    "error": "Traceback (most recent call last):\n                    File \"/home/qcqcqc/workspace/pytorch_tests/rnn_error.py\", line 40, in <module>\n                        loss = criterion(output, label.unsqueeze(0))\n                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n                    File \"/home/qcqcqc/miniconda3/lib/python3.12/site-packages/torch/nn/modules/module.py\", line 1739, in _wrapped_call_impl\n                        return self._call_impl(*args, **kwargs)\n                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n                    File \"/home/qcqcqc/miniconda3/lib/python3.12/site-packages/torch/nn/modules/module.py\", line 1750, in _call_impl\n                        return forward_call(*args, **kwargs)\n                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n                    File \"/home/qcqcqc/miniconda3/lib/python3.12/site-packages/torch/nn/modules/loss.py\", line 1295, in forward\n                        return F.cross_entropy(\n                            ^^^^^^^^^^^^^^^^\n                    File \"/home/qcqcqc/miniconda3/lib/python3.12/site-packages/torch/nn/functional.py\", line 3494, in cross_entropy\n                        return torch._C._nn.cross_entropy_loss(\n                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n                    ValueError: Expected input batch_size (2) to match target batch_size (1).",
    "env": {},
    "productId": "",
    "instanceId": ""
  }
]