---
title: 模型训练时未使用配套PyTorch或Python版本，报错“E1017”-昇腾社区
description: (待补充)
keywords: E1017
url: https://www.hiascend.com/document/caselibrary/detail/ptacase_0065
section: (其他)
---

# 模型训练时未使用配套PyTorch或Python版本，报错“E1017”-昇腾社区

URL: https://www.hiascend.com/document/caselibrary/detail/ptacase_0065
描述: (待补充)
关键词: E1017

昇腾文档 [了解详情](https://www.hiascend.com/document)

故障案例 [了解详情](https://www.hiascend.com/document/caselibrary)

模型训练时未使用配套PyTorch或Python版本，报错“E1017”

模型训练时未使用配套PyTorch或Python版本，报错“E1017”

2025/11/17

588

问题信息

| 问题来源 | 产品大类 | 产品子类 | 关键字 |
| --- | --- | --- | ---|
| 官方 | 模型训练 | PyTorch | E1017 |

#### 问题现象描述

- 报错截图
- 报错文本

```
[ranko]:[W017 19:12:55.484886190 compiler_depend.ts:65] Warning: Warning: The torch.npu.*DtypeTensor constructors are no longer recom ommended. It's best to use  methods  Is such as torch.tensor(data, dtype=*, device='npu') to create tensors.
Warning: Default value of `set_to_none` in torch.nn.Module.zero_grad() is set as False for combine grad, which is True since torch 2.0. 
number of params: 28288354 
number of GFLOPs: 4.49440512 
All checkpoints founded in output/test/swin_tiny_patch4 window7_224/default: []  
no checkpoint found in output/test/swin_tiny_patch4_window7_224/default, ignoring auto resume   
Start training  
Save internal 10 
[rank0] :[W1017 19:13:04.658394720 compiler_depend.ts:67] Warnir npu::npu_format_cast: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is .E1017 19:13:16.561000 3317037 site-packages/torch/distributed/elastic/ multiprocessing/api.py: 869] failed (exitcode: -11) local_rank:0 (pid: 3319032) of binary:
```

#### 原因分析

在模型训练过程中出现“E1017”报错，原因是使用了未适配过的PyTorch和Python版本，导致功能错误，无法正常执行训练。

#### 解决措施

请根据各模型使用说明中推荐的PyTorch、Python等配套版本进行环境准备，以确保功能正常，性能和精度达标。

本页内容

- 问题信息
- 问题现象描述
- 原因分析
- 解决措施