Update PyTorch to 2.8.0 #20358

huydhn · 2025-07-02T07:18:42Z

Essential Elements of an Effective PR Description Checklist

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The test results, such as pasting the results comparison before and after, or e2e results

Purpose

Update vLLM to PyTorch 2.8.0 now that it has been release

Test Plan

CI

Test Result

There are some failures, I'm trying to evaluate each one to confirm that they are existing failures from main.

basic-models-test: existing failures = https://buildkite.com/vllm/ci/builds/26180#01988231-121d-477c-b67e-46ba470335a0/7-10992
blackwell-test: look unrelated, pytest exit code 5 mean no tests are selected
distributed-tests-2-gpus: look unrelated plus the test TP_SIZE=1 DP_SIZE=2 pytest -v -s v1/test_async_llm_dp.py is passing locally on my local H100
distributed-tests-4-gpus: same, look unrelated and TP_SIZE=2 DP_SIZE=2 pytest -v -s v1/test_async_llm_dp.py is also passing locally
language-models-test-hybrid (likely unrelated)
- This is a bit tricky to confirm because the signals from this test are currently hidden because of a broken mamba_ssm package (probably after the recent 2.7.1 update), for example https://buildkite.com/vllm/ci/builds/26325#019887d6-fd23-447d-8e2c-067a04a33021/200-3499
- Remove mamba-ssm package #22409 is looking into this
multi-modal-models-test-standard: existing failures = https://buildkite.com/vllm/ci/builds/26194#0198827e-c862-4fa2-9933-277ed196ca7b
v1-test: existing failures = https://buildkite.com/vllm/ci/builds/26180#01988231-1203-4c32-8629-448865269f2d/200-7848

The benchmark results look normal.

gemini-code-assist

Summary of Changes

Hello @huydhn, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request initiates the process of upgrading the project's PyTorch dependency to version 2.8.0, targeting its release candidate builds. This involves updating not only the core PyTorch version but also ensuring compatibility across related libraries like Torchaudio and Torchvision, and adjusting build and test environments to source these new versions from PyTorch's test indices. The changes are foundational, impacting various dependency management files and build configurations.

Highlights

PyTorch Version Update: The core PyTorch dependency has been updated from version 2.7.0 to 2.8.0 across pyproject.toml, requirements/build.txt, requirements/cpu.txt, requirements/cuda.txt, requirements/rocm-build.txt, and requirements/test.in.
Associated Library Updates: Torchaudio and Torchvision have been updated to their 2.8.0 and 0.23.0 compatible versions, respectively, to align with the new PyTorch release.
Test Index Configuration: Build and test configurations, including .pre-commit-config.yaml, docker/Dockerfile, and various requirements/*.txt files, have been adjusted to pull PyTorch and related packages from the test release candidate index URLs (e.g., https://download.pytorch.org/whl/test/cu128).
CUDA and ROCm Dependency Alignment: Specific CUDA-related dependencies in requirements/test.txt (e.g., nvidia-cublas, nvidia-cudnn) have been updated to align with the PyTorch 2.8.0 release candidate, and ROCm versions in requirements/rocm-build.txt are updated to 6.3.
FlashInfer and Triton Updates: The FlashInfer wheel URL in docker/Dockerfile has been updated to reflect PyTorch 2.8, and the Triton version in requirements/test.txt has been bumped from 3.3.0 to 3.4.0.

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Code Review

This pull request updates PyTorch to version 2.8.0 and its related dependencies like torchvision, torchaudio, and Triton. The changes are mostly version bumps in requirement files and configuration files to use the PyTorch test package index. The changes look consistent with the goal of the PR. I've found one minor issue related to redundant configuration that could be improved for better maintainability.

.pre-commit-config.yaml

github-actions · 2025-07-02T07:33:02Z

👋 Hi! Thank you for contributing to the vLLM project.

💬 Join our developer Slack at https://slack.vllm.ai to discuss your PR in #pr-reviews, coordinate on features in #feat- channels, or join special interest groups in #sig- channels.

Just a reminder: PRs would not trigger full CI run by default. Instead, it would only run fastcheck CI which starts running only a small and essential subset of CI tests to quickly catch errors. You can run other CI tests on top of those by going to your fastcheck build on Buildkite UI (linked in the PR checks section) and unblock them. If you do not have permission to unblock, ping simon-mo or khluu to add you in our Buildkite org.

Once the PR is approved and ready to go, your PR reviewer(s) can run CI to test the changes comprehensively before merging.

To run CI, PR reviewers can either: Add ready label to the PR or enable auto-merge.

🚀

mergify · 2025-07-08T23:40:10Z

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @huydhn.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

Signed-off-by: Huy Do <[email protected]>

hmellor · 2025-08-30T12:54:26Z

@vadimkantorov yes the nightlies from now on should include PyTorch 2.8

vadimkantorov · 2025-08-30T13:14:00Z

Are nightlies deleted over time? I'm still struggling to figure out a URL - the docs should provide concrete URL examples, not just templates using COMMIT and VERSION

Could you please advise what the URL is or where to find all currently available/published nightly wheel URLs?

Thanks :)

hmellor · 2025-08-30T14:48:40Z

If you just want the latest nightly follow the instructions at https://docs.vllm.ai/en/latest/getting_started/installation/gpu.html#install-the-latest-code (the docs link you provided is ancient)

vadimkantorov · 2025-08-30T14:52:15Z

I'd like to get the direct wheel link (e.g. for placing into uv pyproject), this readme just shows pip install command, and another readme shows a template for a link, but no concrete final example (otherwise hard to grasp the correct version format: is it including dev+commit or not? Commit in short or long form?):


export VLLM_VERSION=0.5.4 # vLLM's main branch version is currently set to latest released tag
pip install https://vllm-wheels.s3.us-west-2.amazonaws.com/nightly/vllm-${VLLM_VERSION}-cp38-abi3-manylinux1_x86_64.whl
# You can also access a specific commit
# export VLLM_COMMIT=...
# pip install https://vllm-wheels.s3.us-west-2.amazonaws.com/${VLLM_COMMIT}/vllm-${VLLM_VERSION}-cp38-abi3-manylinux1_x86_64.whl

And also - how long does such a wheel kept online?

hmellor · 2025-08-30T15:26:57Z

Sorry, I don't know the answer to that question

nWEIdia · 2025-08-30T16:21:40Z

I'm still struggling to figure out a URL

You can use this direct URL:

wget https://vllm-wheels.s3.amazonaws.com/nightly/vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl
pip uninstall torch
pip install vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl
pip install pipdeptree
pipdeptree -p vllm
pip list |grep vllm

wei:~$ pip list |grep vllm
vllm 0.10.1rc2.dev397+g038e9be4e (this commit refers to: 038e9be)

pipdeptree -p vllm |grep torch
├── torch [required: ==2.8.0, installed: 2.8.0]

You can also: unzip vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl (wheel unpack does not seem to work)
and should be able to see: vllm-0.10.1rc2.dev397+g038e9be4e.dist-info
the METADATA file has: Requires-Dist: torch==2.8.0

youkaichao · 2025-09-01T05:52:04Z

@vadimkantorov the commands are in https://blog.vllm.ai/2025/01/10/dev-experience.html

vadimkantorov · 2025-09-02T20:51:46Z

@nWEIdia Do you know how long these wheels stay up? basically I'd like to have a pin on a particular nightly commit. The wheel at https://vllm-wheels.s3.amazonaws.com/nightly/vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl likely gets updated every day, so it's not good to pin on it in pyproject.toml.

What should be a sustainable way of pinning on a given particular commit in pyproject.toml? (at least until a new release gets put up, as I imagine it's costly to preserve forever the per-commit heavy-sized wheels)

nWEIdia · 2025-09-02T21:07:20Z

@nWEIdia Do you know how long these wheels stay up? basically I'd like to have a pin on a particular nightly commit. The wheel at https://vllm-wheels.s3.amazonaws.com/nightly/vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl likely gets updated every day, so it's not good to pin on it in pyproject.toml.

What should be a sustainable way of pinning on a given particular commit in pyproject.toml? (at least until a new release gets put up, as I imagine it's costly to preserve forever the per-commit heavy-sized wheels)

I don't know how long the nightly wheels would stay up.
I agree it would be great if the wheel with the real commit id as part of the name could also be viewable. We know they are in S3, I could not directly view them either. If these wheels could be viewable, then it would make your workflow work.

vadimkantorov · 2025-09-02T21:17:32Z

the commands are in https://blog.vllm.ai/2025/01/10/dev-experience.html

@youkaichao strangely these do not include uv add --index for nightlies (or any uv add, actually)...

simon-mo · 2025-09-02T21:26:07Z

Commit wise, they are also stored in

- https://vllm-wheels.s3.amazonaws.com/nightly/vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl
+ https://vllm-wheels.s3.amazonaws.com/COMMIT_HASH/vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl

We currently don't have TTL for wheels artifact

nWEIdia · 2025-09-02T21:29:41Z

Commit wise, they are also stored in

- https://vllm-wheels.s3.amazonaws.com/nightly/vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl
+ https://vllm-wheels.s3.amazonaws.com/COMMIT_HASH/vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl

We currently don't have TTL for wheels artifact

Thanks @simon-mo ! You are right, I can click and download e.g. this file: https://vllm-wheels.s3.amazonaws.com/038e9be4eb7a63189c8980845d80cb96957b9919/vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl

vadimkantorov · 2025-09-02T21:36:34Z

I've tried, and doing uv sync --active in the curdir (the only file in curdir is pyproject.toml printed below), leads to an error, which I honestly cannot decypher:

  × No solution found when resolving dependencies:
  ╰─▶ Because outlines==0.1.11 depends on outlines-core==0.1.26 and vllm==0.10.1rc2.dev397+g038e9be4e depends on
      outlines{platform_machine == 's390x'}==0.1.11, we can conclude that vllm==0.10.1rc2.dev397+g038e9be4e and
      outlines-core{platform_machine != 's390x'}==0.2.10 are incompatible.
      And because vllm==0.10.1rc2.dev397+g038e9be4e depends on outlines-core{platform_machine != 's390x'}==0.2.10, we can
      conclude that vllm==0.10.1rc2.dev397+g038e9be4e cannot be used.
      And because only vllm==0.10.1rc2.dev397+g038e9be4e is available and your project depends on vllm, we can conclude
      that your project's requirements are unsatisfiable.

# pyproject.toml

[build-system]
requires = ["setuptools>=65", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name =  "test_vllm"
version = "0.0.0.1"
requires-python = ">=3.12"
dependencies = [
    "vllm",
    "torch>=2.8",
    "flash-attn==2.8.2",
]

[tool.uv.sources]
vllm = { url = "https://vllm-wheels.s3.amazonaws.com/038e9be4eb7a63189c8980845d80cb96957b9919/vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl" }

[tool.uv]
no-build-isolation-package = ["flash-attn"]

vadimkantorov · 2025-09-02T22:44:16Z

It appears that because of:

[Bug]: uv installation seems broken for nightly wheels (dependency problem with outlines and filename<>metadata mismatch) #24126

we cannot directly use this wheel url with uv :(

vadimkantorov · 2025-09-02T23:15:43Z

This works. But I don't understand what g930a24144 refers to. It's certainly not a commit because of some g prefix, the commit seems this: 930a241

# pyproject.toml

[build-system]
requires = ["setuptools>=65", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name =  "test_vllm"
version = "0.0.0.1"
requires-python = ">=3.12"
dependencies = [
    "vllm",
    "torch>=2.8",
    "flash-attn==2.8.2",
]

[tool.uv.sources]
vllm = { url = "https://wheels.vllm.ai/nightly/vllm-0.10.2rc2.dev39%2Bg930a24144-cp38-abi3-manylinux1_x86_64.whl" }

[tool.uv]
override-dependencies = ["outlines-core==0.2.10"]

vadimkantorov · 2025-09-02T23:17:28Z

How do I get the similar URL for 038e9be ?

nWEIdia · 2025-09-02T23:22:03Z

How do I get the similar URL for 038e9be ?

Would it be this one? https://wheels.vllm.ai/nightly/0.10.1rc2.dev397%2Bg038e9be4e-cp38-abi3-manylinux1_x86_64.whl

vadimkantorov · 2025-09-02T23:33:35Z

Nope, "Not found" :(

Direct S3 paths are more predictable, but until #9244 is fixed, they cannot be used for uv pinning

If one goes to https://wheels.vllm.ai/nightly/vllm/, it contains only two links:

for the latest commit, and I'm worried that the next day the URLs will go stale and become 404

nWEIdia · 2025-09-02T23:36:04Z

https://wheels.vllm.ai/nightly/0.10.1rc2.dev397%2Bg038e9be4e-cp38-abi3-manylinux1_x86_64.whl

Sorry I missed vllm- in there, please try again with https://wheels.vllm.ai/nightly/vllm-0.10.1rc2.dev397%2Bg038e9be4e-cp38-abi3-manylinux1_x86_64.whl

vadimkantorov · 2025-09-02T23:58:19Z

Wow, it seems that there was a version bump between:

Indeed, it's hard to predict just by commit hash...

I propose to have one of complete, concrete variants of pyproject.toml at https://docs.vllm.ai/en/stable/getting_started/installation/gpu.html#install-the-latest-code_1 (uv pip install does not modify pyproject.toml if I understand correctly)

Current working versions:

1), using index:

[build-system]
requires = ["setuptools>=65", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name =  "test_vllm"
version = "0.0.0.1"
requires-python = ">=3.12"
dependencies = [
    "vllm==0.10.2rc2.dev39+g930a24144",
    "torch>=2.8",
    "flash-attn==2.8.2",
]

[tool.uv.sources]
vllm = { index = "vllm_nightly" }

[[tool.uv.index]]
name = "vllm_nightly"
url = "https://wheels.vllm.ai/nightly"

[tool.uv]
override-dependencies = ["outlines-core==0.2.10"]

Using direct whl path and no index:

[build-system]
requires = ["setuptools>=65", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name =  "test_vllm"
version = "0.0.0.1"
requires-python = ">=3.12"
dependencies = [
    "vllm",
    "torch>=2.8",
    "flash-attn==2.8.2",
]

[tool.uv.sources]
vllm = { url = "https://wheels.vllm.ai/nightly/vllm-0.10.2rc2.dev39%2Bg930a24144-cp38-abi3-manylinux1_x86_64.whl" }

[tool.uv]
override-dependencies = ["outlines-core==0.2.10"]

Use per-commit index, following recommendation at https://docs.vllm.ai/en/stable/getting_started/installation/gpu.html#install-specific-revisions

[build-system]
requires = ["setuptools>=65", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name =  "test_vllm"
version = "0.0.0.1"
requires-python = ">=3.12"
dependencies = [
    "vllm",
    "torch>=2.8",
    "flash-attn==2.8.2",
]

[tool.uv.sources]
vllm = { index = "vllm_commit" }

[[tool.uv.index]]
name = "vllm_commit"
url = "https://wheels.vllm.ai/930a24144c073a08cfecabd75a242e713bc4f57e"

[tool.uv]
override-dependencies = ["outlines-core==0.2.10"]

The failing fersion: using direct S3 path with per-commit hash

Failing because of:

[Bug]: uv installation seems broken for nightly wheels (dependency problem with outlines and filename<>metadata mismatch) #24126

[build-system]
requires = ["setuptools>=65", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name =  "test_vllm"
version = "0.0.0.1"
requires-python = ">=3.12"
dependencies = [
    "vllm",
    "torch>=2.8",
    "flash-attn==2.8.2",
]

[tool.uv.sources]
vllm = { url = "https://vllm-wheels.s3.amazonaws.com/930a24144c073a08cfecabd75a242e713bc4f57e/vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl" }

[tool.uv]
override-dependencies = ["outlines-core==0.2.10"]

vadimkantorov · 2025-09-03T01:34:42Z

Also curious if there is a version of pyproject.toml (or requirements.txt) for pinning vllm to a given commit which is pip-compatible... The versions above use tool.uv.sources...

Signed-off-by: Huy Do <[email protected]> Co-authored-by: Michael Goin <[email protected]>

Signed-off-by: Huy Do <[email protected]> Co-authored-by: Michael Goin <[email protected]> Signed-off-by: Matthew Bonanni <[email protected]>

Signed-off-by: Huy Do <[email protected]> Co-authored-by: Michael Goin <[email protected]>

Signed-off-by: Huy Do <[email protected]> Co-authored-by: Michael Goin <[email protected]> Signed-off-by: Shiyan Deng <[email protected]>

Signed-off-by: Huy Do <[email protected]> Co-authored-by: Michael Goin <[email protected]>

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huydhn added 4 commits July 8, 2025 16:40

[WIP][RC] Update PyTorch to 2.8.0

d6bf991

Signed-off-by: Huy Do <[email protected]>

Handle xformers

456985c

Signed-off-by: Huy Do <[email protected]>

Some more tweaks

4838d53

Signed-off-by: Huy Do <[email protected]>

Attempt to fix xformers build

ca21216

Signed-off-by: Huy Do <[email protected]>

huydhn force-pushed the pytorch-2.8.0 branch from 7f47be8 to ca21216 Compare July 8, 2025 23:41

mergify bot removed tpu Related to Google TPUs needs-rebase labels Jul 8, 2025

draftbk mentioned this pull request Aug 29, 2025

[rocm] update pytorch rocm from 6.3 to 6.4 #23968

Open

youkaichao mentioned this pull request Sep 1, 2025

update to cuda 12.9 #24020

Closed

5 tasks

Isotr0py mentioned this pull request Sep 1, 2025

[Misc] Enable V1 FP16 inference on pre-Ampere GPUs #24022

Merged

5 tasks

vadimkantorov mentioned this pull request Sep 2, 2025

[Bug]: uv installation seems broken for nightly wheels (dependency problem with outlines and filename<>metadata mismatch) #24126

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1 task

nopperl pushed a commit to pfnet/vllm that referenced this pull request Sep 3, 2025

Update PyTorch to 2.8.0 (vllm-project#20358)

db53b0c

Signed-off-by: Huy Do <[email protected]> Co-authored-by: Michael Goin <[email protected]>

MatthewBonanni pushed a commit to MatthewBonanni/vllm that referenced this pull request Sep 3, 2025

Update PyTorch to 2.8.0 (vllm-project#20358)

adf46dd

Signed-off-by: Huy Do <[email protected]> Co-authored-by: Michael Goin <[email protected]>

842974287 pushed a commit to 842974287/vllm that referenced this pull request Sep 3, 2025

Update PyTorch to 2.8.0 (vllm-project#20358)

99d726f

Signed-off-by: Huy Do <[email protected]> Co-authored-by: Michael Goin <[email protected]> Signed-off-by: Shiyan Deng <[email protected]>

lengrongfu pushed a commit to lengrongfu/vllm that referenced this pull request Sep 4, 2025

Update PyTorch to 2.8.0 (vllm-project#20358)

cedca28

Signed-off-by: Huy Do <[email protected]> Co-authored-by: Michael Goin <[email protected]>

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Update PyTorch to 2.8.0 #20358

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huydhn commented Jul 2, 2025 •

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vadimkantorov commented Aug 30, 2025 •

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nWEIdia commented Aug 30, 2025 •

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vadimkantorov commented Sep 2, 2025 •

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vadimkantorov commented Sep 2, 2025 •

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vadimkantorov commented Sep 3, 2025 •

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