| Title | pytorch torch 2.6.0 Segmentation fault |
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| Description | # Bug Description
Calling pad_packed_sequence on an empty PackedSequence leads to a segmentation fault.
# Reproduction Steps
Run the following code:
```
import torch
from torch.nn.utils.rnn import pad_packed_sequence, PackedSequence
empty_data = torch.randn(0, 5)
empty_batch_sizes = torch.tensor([], dtype=torch.int64)
empty_packed = PackedSequence(empty_data, empty_batch_sizes, None, None)
# Causes segmentation fault
pad_packed_sequence(empty_packed, batch_first=True)
```
# Observed Behavior
The program crashes with a segmentation fault, indicating an invalid memory access. |
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| Source | ⚠️ https://github.com/pytorch/pytorch/issues/149622 |
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| User | Default436352 (UID 81891) |
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| Submission | 03/20/2025 02:29 PM (4 months ago) |
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| Moderation | 03/30/2025 07:42 PM (10 days later) |
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| Status | Accepted |
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| VulDB Entry | 302047 [PyTorch 2.6.0 torch.nn.utils.rnn.pad_packed_sequence memory corruption] |
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| Points | 20 |
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