cudaErrorIllegalAddress cuda runtime_error ai_generated true

运行时错误：CUDA错误：在异步操作中遇到了非法内存访问

RuntimeError: CUDA error: an illegal memory access was encountered in an asynchronous operation

ID: cuda/tensor-memory-not-contiguous

其他格式: JSON · Markdown 中文 · English
85%修复率
85%置信度
1证据数
2023-09-15首次发现

版本兼容性

版本状态引入弃用备注
CUDA 11.8 active — — —
PyTorch 2.1.0 active — — —
cuDNN 8.9.2 active — — —

根因分析

将一个非连续张量传递给需要连续内存的CUDA内核，导致越界或未对齐访问。

English

A non-contiguous tensor was passed to a CUDA kernel that requires contiguous memory, causing out-of-bounds or misaligned access.

generic

官方文档

https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html

解决方案

  1. Ensure tensors are contiguous before passing to CUDA kernels: `tensor = tensor.contiguous()`. For PyTorch, add `.contiguous()` after operations like `.transpose()` or `.view()`.

无效尝试

常见但无效的做法:

  1. 85% 失败

    The error is about memory access pattern, not capacity.

  2. 90% 失败

    The error is unrelated to device assignment.