| 标题 | pytorch pytorch (in torch.cuda.memory.caching_allocator_delete) torch 2.6.0 invalid memory access |
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| 描述 | When attempting to manually delete a tensor's memory using `torch.cuda.memory.caching_allocator_delete` after allocating memory on the GPU with `torch.empty`, I encounter an `Aborted` error.
To reproduce:
```
import torch
from torch.cuda.memory import caching_allocator_delete
torch.cuda.empty_cache()
dev_props = torch.cuda.get_device_properties(0)
total_memory = dev_props.total_memory
allocation = int(total_memory * 0.5)
tmp_tensor = torch.empty(allocation, dtype=torch.int8, device='cuda')
mem_ptr = tmp_tensor.data_ptr()
caching_allocator_delete(mem_ptr)
``` |
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| 来源 | ⚠️ https://github.com/pytorch/pytorch/issues/149821 |
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| 用户 | Default436352 (UID 81891) |
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| 提交 | 2025-03-23 02時26分 (2 年前) |
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| 管理 | 2025-04-02 22時47分 (11 days later) |
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| 状态 | 已接受 |
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| VulDB条目 | 303041 [PyTorch 2.6.0 CUDACachingAllocator.cpp torch.cuda.memory.caching_allocator_delete 内存损坏] |
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| 积分 | 20 |
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