| 标题 | pytorch pytorch (in torch.jit.jit_module_from_flatbuffer) torch 2.6.0 Memory Leak |
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| 描述 | I encountered a Segmentation fault when running a simple PyTorch script that uses torch.jit.script along with Flatbuffer serialization. The issue occurs when loading the saved model from the Flatbuffer file and passing an input tensor to it.
# Code to Reproduce
```
import torch
from torch import nn
simple_model = nn.Sequential(
nn.Linear(10, 20),
nn.BatchNorm2d(5),
nn.ReLU()
)
scripted_model = torch.jit.script(simple_model)
torch.jit.save_jit_module_to_flatbuffer(scripted_model, 'model.ff')
loaded_model = torch.jit.jit_module_from_flatbuffer('model.ff')
sample_input = torch.rand(1, 5, 3, 10)
_ = loaded_model(sample_input)
```
|
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| 来源 | ⚠️ https://github.com/pytorch/pytorch/issues/149800 |
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| 用户 | Default436352 (UID 81891) |
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| 提交 | 2025-03-22 10時08分 (2 年前) |
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| 管理 | 2025-04-02 15時35分 (11 days later) |
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| 状态 | 已接受 |
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| VulDB条目 | 303012 [PyTorch 2.6.0 torch.jit.jit_module_from_flatbuffer 内存损坏] |
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| 积分 | 20 |
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