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[Build] Force torch version (#3791)

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We notice that sometimes user build vllm-ascend with incorrect torch
version. In this case, the build is passed, but when running the code,
the error `AttributeError: '_OpNamespace' '_C_ascend' object has no
attribute 'weak_ref_tensor'` is raised. Let's force the torch version to
2.7.1 and check the torch version when build from source to fix the
issue.

closes: #3342

- vLLM version: v0.11.0rc3
- vLLM main:
c9461e05a4

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
This commit is contained in:
wangxiyuan
2025-10-30 15:53:15 +08:00
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parent ff47524b88
commit 10772d94e3
8 changed files with 15 additions and 8 deletions
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docs/source/installation.md
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@@ -13,8 +13,8 @@ This document describes how to install vllm-ascend manually.
|---------------|----------------------------------|-------------------------------------------|
| Ascend HDK | Refer to [here](https://www.hiascend.com/document/detail/zh/canncommercial/82RC1/releasenote/releasenote_0000.html) | Required for CANN |
| CANN | >= 8.2.RC1 | Required for vllm-ascend and torch-npu |
| torch-npu | >= 2.7.1.dev20250724 | Required for vllm-ascend, No need to install manually, it will be auto installed in below steps |
| torch | >= 2.7.1 | Required for torch-npu and vllm |
| torch-npu | == 2.7.1.dev20250724 | Required for vllm-ascend, No need to install manually, it will be auto installed in below steps |
| torch | == 2.7.1 | Required for torch-npu and vllm |
There are two installation methods:
- **Using pip**: first prepare env manually or via CANN image, then install `vllm-ascend` using pip.