| शीर्षक | pytorch pytorch (in torch.nn.functional.ctc_loss) 2.6.0 Denial of Service |
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| विवरण | When calling `ctc_loss` with empty tensors on CUDA (device="cuda"), a `Floating point exception` occurs. This does not happen on CPU, where a proper error is raised. This bug can be exploited for a denial-of-service attack.
# To reproduce
```
import torch
import torch.nn.functional as F
device = "cuda" # "cpu" is fine
num_classes = 4
log_probs = torch.rand(0, 0, num_classes, device=device)
targets = torch.tensor([], device=device, dtype=torch.long)
input_lengths = torch.tensor([], device=device, dtype=torch.long)
target_lengths = torch.tensor([], device=device, dtype=torch.long)
result = F.ctc_loss(log_probs, targets, input_lengths, target_lengths, reduction='none')
```
# Output
```
Floating point exception (core dumped)
```
|
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| स्रोत | ⚠️ https://github.com/pytorch/pytorch/issues/150835 |
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| उपयोगकर्ता | Default436352 (UID 81891) |
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| सबमिशन | 08/04/2025 05:12 PM (1 वर्ष पहले) |
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| संयम | 16/04/2025 03:41 PM (8 days later) |
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| स्थिति | स्वीकृत |
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| VulDB प्रविष्टि | 305076 [PyTorch 2.6.0 LossCTC.cpp torch.nn.functional.ctc_loss सेवा अस्वीकार] |
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| अंक | 20 |
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