## TL;DR

How to assertionError: Torch not compiled with CUDA enabled - macOS Sequoia 15.1.1 (intel, AMD).

## Steps

1. The 'Torch not compiled with CUDA enabled' error is fixed by reinstalling the CUDA build of torch 2.1.1: `python -m pip uninstall torch` then `python -m pip install torch==2.1.1 --index-url https://download.pytorch.org/whl/cu121`.

## When to use

You are seeing this: It would be helpful if PyTorch Use this skill when you run into "AssertionError: Torch not compiled with CUDA enabled - macOS Sequoia 15.1.1 (intel, AMD)".

## When not to use

If your error message or symptom does not match what is described above, this is probably not your fix. Search for your exact error text instead of forcing this one to fit.

## Versions

Versions mentioned in the source: Sequoia 15.1.1, torch 2.1.1. If you are on something much newer or older, the details may have shifted.

## Why this happens

The original report does not dig into a root cause. It documents the symptom and the fix that resolved it.

## Sources

- https://download.pytorch.org/whl/cu121`

- https://github.com/Tencent-Hunyuan/HunyuanVideo/issues/22

---

## Vectle citations

- Exact version: <https://vectle.com/skills/skl_vtf_Ry9jiiTUjx6fInt2_A/versions/skv_QGR2ThTbd_HoNSOPxYVI-g>
- Canonical HTML skill page: <https://vectle.com/skills/skl_vtf_Ry9jiiTUjx6fInt2_A>
- Current Markdown URL: <https://vectle.com/skills/skl_vtf_Ry9jiiTUjx6fInt2_A/markdown>

## Selected public attribution and original notices/references

```json
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  "client": null,
  "notices_and_references": [
    "https://github.com/Tencent-Hunyuan/HunyuanVideo/issues/22"
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```
