---
title: 在模型运行时遇到报错“terminate called after throwing an instance of 'c10::Error' what(): 0 INTERNAL ASSERT”-昇腾
description: (待补充)
keywords: 在模型运行时,遇到报错,Error,INTERNAL,ASSERT,昇腾社区,问题现象描述,原因分析
url: https://www.hiascend.com/document/caselibrary/detail/topic_0000001538269738
section: (其他)
---

# 在模型运行时遇到报错“terminate called after throwing an instance of 'c10::Error' what(): 0 INTERNAL ASSERT”-昇腾

URL: https://www.hiascend.com/document/caselibrary/detail/topic_0000001538269738
描述: (待补充)
关键词: 在模型运行时,遇到报错,Error,INTERNAL,ASSERT,昇腾社区,问题现象描述,原因分析

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在模型运行时遇到报错“terminate called after throwing an instance of 'c10::Error' what(): 0 INTERNAL ASSERT”

在模型运行时遇到报错“terminate called after throwing an instance of 'c10::Error' what(): 0 INTERNAL ASSERT”

2023/06/06

1.7k

问题信息

| 问题来源 | 产品大类 | 关键字 |
| --- | --- | ---|
| 官方 | 模型训练 | -- |

#### 问题现象描述

- 报错截图

- 报错文本

```
terminate called after throwing an instance of 'c10::Error'
  what(): 0 INTERNAL ASSERT FAILED at /***/pytorch/c10/npu/NPUStream.cpp:146, please report a bug to PyTorch. Could not compute stream ID for Oxffff9f77fd28 on device -1 (something has gone horribly wrong!) (NPUStream_getStreamId at /***/pytorch/c10/npu/NPUStream.cpp:146
frame #0: c10::Error::Error(c10::SourceLocation, std::__cxxll::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x74 (0xffffa0c11fe4 in /usr/local/lib64/python3.7/site.packages/torch/lib/libc10.so)
……
```

#### 原因分析

执行代码后出现报错。

```
import torch
import torch_npu

def test_cpu():
    input = torch.randn(2000, 1000).detach().requires_grad_()
    output = torch.sum(input)
    output.backward(torch.ones_like(output))

def test_npu():
    input = torch.randn(2000, 1000).detach().requires_grad_().npu()
    output = torch.sum(input)
    output.backward(torch.ones_like(output))

if __name__ == "__main__":
    test_cpu()
    torch_npu.npu.set_device("npu:0")
    test_npu()
```

在运行backward运算时，若没有设置device，程序会自动默认初始化device为0，相当于执行了set_device("npu:0")。由于目前不支持切换device进行计算，若再通过set_decice()方法手动设置device设备，则可能出现该错误。

#### 解决措施

在运行backward运算前，通过set_decice()方法手动设置device。

原代码如下：

```
if __name__ == "__main__":
    test_cpu()
    torch_npu.npu.set_device("npu:0")
    test_npu()
```

修改后代码如下：

```
if __name__ == "__main__":
    torch_npu.npu.set_device("npu:0")
    test_cpu()
    test_npu()
```

本页内容

- 问题信息
- 问题现象描述
- 原因分析
- 解决措施