From d653fbb1331cfd0bb8f937402c93f95e2e331f82 Mon Sep 17 00:00:00 2001
From: FishAlchemist <48265002+FishAlchemist@users.noreply.github.com>
Date: Tue, 17 Jun 2025 21:55:03 +0800
Subject: [PATCH] doc: Sync PyTorch integration index for CUDA and ROCm
versions from PyTorch website. (#14100)
## Summary
Just to sync the documentation with PyTorch's officially recommended
installation method.

**Change:**
* CUDA 12.1 to CUDA 12.6
* CUDA 12.4 to CUDA 12.8
* ROCm 6.2 to ROCm 6.3
## Test Plan
Run doc server in local.
Result:
CUDA 12.6


CUDA 12.8


ROCm6


---
docs/guides/integration/pytorch.md | 26 +++++++++++++-------------
1 file changed, 13 insertions(+), 13 deletions(-)
diff --git a/docs/guides/integration/pytorch.md b/docs/guides/integration/pytorch.md
index 79b6f31e1..7fd0f8004 100644
--- a/docs/guides/integration/pytorch.md
+++ b/docs/guides/integration/pytorch.md
@@ -85,21 +85,21 @@ In such cases, the first step is to add the relevant PyTorch index to your `pypr
explicit = true
```
-=== "CUDA 12.1"
+=== "CUDA 12.6"
```toml
[[tool.uv.index]]
- name = "pytorch-cu121"
- url = "https://download.pytorch.org/whl/cu121"
+ name = "pytorch-cu126"
+ url = "https://download.pytorch.org/whl/cu126"
explicit = true
```
-=== "CUDA 12.4"
+=== "CUDA 12.8"
```toml
[[tool.uv.index]]
- name = "pytorch-cu124"
- url = "https://download.pytorch.org/whl/cu124"
+ name = "pytorch-cu128"
+ url = "https://download.pytorch.org/whl/cu128"
explicit = true
```
@@ -108,7 +108,7 @@ In such cases, the first step is to add the relevant PyTorch index to your `pypr
```toml
[[tool.uv.index]]
name = "pytorch-rocm"
- url = "https://download.pytorch.org/whl/rocm6.2"
+ url = "https://download.pytorch.org/whl/rocm6.3"
explicit = true
```
@@ -154,7 +154,7 @@ Next, update the `pyproject.toml` to point `torch` and `torchvision` to the desi
]
```
-=== "CUDA 12.1"
+=== "CUDA 12.6"
PyTorch doesn't publish CUDA builds for macOS. As such, we gate on `sys_platform` to instruct uv to limit
the PyTorch index to Linux and Windows, falling back to PyPI on macOS:
@@ -162,14 +162,14 @@ Next, update the `pyproject.toml` to point `torch` and `torchvision` to the desi
```toml
[tool.uv.sources]
torch = [
- { index = "pytorch-cu121", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+ { index = "pytorch-cu126", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
]
torchvision = [
- { index = "pytorch-cu121", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+ { index = "pytorch-cu126", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
]
```
-=== "CUDA 12.4"
+=== "CUDA 12.8"
PyTorch doesn't publish CUDA builds for macOS. As such, we gate on `sys_platform` to instruct uv to limit
the PyTorch index to Linux and Windows, falling back to PyPI on macOS:
@@ -177,10 +177,10 @@ Next, update the `pyproject.toml` to point `torch` and `torchvision` to the desi
```toml
[tool.uv.sources]
torch = [
- { index = "pytorch-cu124", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+ { index = "pytorch-cu128", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
]
torchvision = [
- { index = "pytorch-cu124", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+ { index = "pytorch-cu128", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
]
```