Build vLLM nightly wheels #162000

huydhn · 2025-09-02T19:54:41Z

This uses the same approach as building triton wheel where we publish a nightly wheel for vLLM whenever its pinned commit is updated. The key change is to use pytorch/manylinux2_28-builder as the base image to build vLLM, so there are a couple of changes on the vLLM Dockerfile used by lumen_cli

pytorch/manylinux2_28-builder is RedHat instead of Debian-based, so no apt-get
Fix a bug in .github/actions/build-external-packages/action.yml where CUDA_VERSION is not set correctly, preventing CUDA 12.9 build
Fix a bug in .github/actions/build-external-packages/action.yml where TORCH_WHEELS_PATH is not set correctly and always defaulted to dist
In vLLM Dockerfile, use the correct index for the selected CUDA version, i.e. https://download.pytorch.org/whl/nightly/cu12[89] for CUDA 12.[89]
Install torch, vision, audio in one command. Unlike the CI image pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm, pytorch/manylinux2_28-builder doesn't have any torch dependencies preinstalled
Bump xformers version to 0.0.32.post2 now that PyTorch 2.8.0 has been landed on vLLM

We need to prepare 3 wheels for vLLM, xformers, and flashinfer-python. And I rename them in the same convention as PyTorch nightlies MAJOR.MINOR.PATCH.devYYYYMMDD so that vLLM nightlies will work with torch nightlies on the same date.

Usage

Install latest nightlies

pip install --pre torch torchvision torchaudio vllm xformers flashinfer_python \
  --index-url https://download.pytorch.org/whl/nightly/cu129

Install a specific version

pip install --pre torch==2.9.0.dev20250903 torchvision torchaudio \
  vllm==1.0.0.dev20250903 \
  xformers=0.0.33.dev20250903 \
  flashinfer_python=0.2.14.dev20250903 \
  --index-url https://download.pytorch.org/whl/nightly/cu129

Signed-off-by: Huy Do <huydhn@gmail.com>

pytorch-bot · 2025-09-02T19:54:44Z

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/162000

📄 Preview Python docs built from this PR
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⏳ 1 Pending, 2 Unrelated Failures

As of commit 754cd75 with merge base 8ec551b ():

FLAKY - The following jobs failed but were likely due to flakiness present on trunk:

vllm-test / ci-vllm-test / test (vllm_entrypoints_test, 1, 1, linux.g6.4xlarge.experimental.nvidia.gpu) (gh) (similar failure)
RuntimeError: 1 pytest runs failed: ['pytest -v -s entrypoints/llm/test_generate_multiple_loras.py']
vllm-test / ci-vllm-test / test (vllm_lora_tp_test_distributed, 1, 1, linux.aws.h100.4) (gh) (similar failure)
RuntimeError: 2 pytest runs failed: ['pytest -v -s -x lora/test_llama_tp.py', 'pytest -v -s -x lora/test_multi_loras_with_tp.py']

This comment was automatically generated by Dr. CI and updates every 15 minutes.

Signed-off-by: Huy Do <huydhn@gmail.com>

huydhn · 2025-09-04T08:32:52Z

cc @atalman The upload looks fine I think with vLLM cu12[89] wheels go to https://download.pytorch.org/whl/nightly/cu12[89] accordingly, i.e. https://github.com/pytorch/pytorch/actions/runs/17456147314/job/49575617824#step:10:23

Signed-off-by: Huy Do <huydhn@gmail.com>

huydhn · 2025-09-06T04:58:42Z

Per the comment from @atalman, let's include a build for CUDA 13.0. We can keep CUDA 12.9 build for now and remove it later

huydhn · 2025-09-06T07:52:17Z

Add a note here for future reference when adding CUDA 13.0, building vLLM with CUDA 13.0 is currently failing https://github.com/pytorch/pytorch/actions/runs/17510237984/job/49740804047. The error indicates that vLLM needs to follow https://nvidia.github.io/cccl/cccl/3.0_migration_guide.html to address some breaking changes in CUDA 13.0. This is similar to how #153373 is for PyTorch.

cc @atalman

Signed-off-by: Huy Do <huydhn@gmail.com>

huydhn · 2025-09-07T06:04:45Z

@pytorchbot drci

huydhn · 2025-09-07T06:07:06Z

@pytorchbot merge -f 'Ready to land'

pytorchmergebot · 2025-09-07T06:09:00Z

Merge started

Your change will be merged immediately since you used the force (-f) flag, bypassing any CI checks (ETA: 1-5 minutes). Please use -f as last resort and instead consider -i/--ignore-current to continue the merge ignoring current failures. This will allow currently pending tests to finish and report signal before the merge.

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This uses the same approach as building triton wheel where we publish a nightly wheel for vLLM whenever its pinned commit is updated. The key change is to use `pytorch/manylinux2_28-builder` as the base image to build vLLM, so there are a couple of changes on the vLLM Dockerfile used by lumen_cli 1. `pytorch/manylinux2_28-builder` is RedHat instead of Debian-based, so no apt-get 2. Fix a bug in `.github/actions/build-external-packages/action.yml` where `CUDA_VERSION` is not set correctly, preventing CUDA 12.9 build 3. Fix a bug in `.github/actions/build-external-packages/action.yml` where `TORCH_WHEELS_PATH` is not set correctly and always defaulted to `dist` 4. In vLLM Dockerfile, use the correct index for the selected CUDA version, i.e. https://download.pytorch.org/whl/nightly/cu12[89] for CUDA 12.[89] 5. Install torch, vision, audio in one command. Unlike the CI image `pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm`, `pytorch/manylinux2_28-builder` doesn't have any torch dependencies preinstalled 6. Bump xformers version to 0.0.32.post2 now that PyTorch 2.8.0 has been landed on vLLM We need to prepare 3 wheels for vLLM, xformers, and flashinfer-python. And I rename them in the same convention as PyTorch nightlies `MAJOR.MINOR.PATCH.devYYYYMMDD` so that vLLM nightlies will work with torch nightlies on the same date. ### Usage * Install latest nightlies ``` pip install --pre torch torchvision torchaudio vllm xformers flashinfer_python \ --index-url https://download.pytorch.org/whl/nightly/cu129 ``` * Install a specific version ``` pip install --pre torch==2.9.0.dev20250903 torchvision torchaudio \ vllm==1.0.0.dev20250903 \ xformers=0.0.33.dev20250903 \ flashinfer_python=0.2.14.dev20250903 \ --index-url https://download.pytorch.org/whl/nightly/cu129 ``` Pull Request resolved: pytorch#162000 Approved by: https://github.com/atalman

A follow-up after pytorch/pytorch#162000 to surface these wheels on PyTorch index Signed-off-by: Huy Do <huydhn@gmail.com>

I suspected that I would need to repack vLLM wheels from #162000 because I renamed the wheel, and it turns out to be true. The error is as follows: ``` $ uv pip install --pre xformers --index-url https://download.pytorch.org/whl/nightly/cu129 Using Python 3.12.11+meta environment at: venv/py3.12 Resolved 28 packages in 759ms error: Failed to install: xformers-0.0.33.dev20250901+cu129-cp39-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (xformers==0.0.33.dev20250901+cu129) Caused by: Wheel version does not match filename: 0.0.33+5d4b92a5.d20250907 != 0.0.33.dev20250901+cu129 ``` Pull Request resolved: #162371 Approved by: https://github.com/atalman

This uses the same approach as building triton wheel where we publish a nightly wheel for vLLM whenever its pinned commit is updated. The key change is to use `pytorch/manylinux2_28-builder` as the base image to build vLLM, so there are a couple of changes on the vLLM Dockerfile used by lumen_cli 1. `pytorch/manylinux2_28-builder` is RedHat instead of Debian-based, so no apt-get 2. Fix a bug in `.github/actions/build-external-packages/action.yml` where `CUDA_VERSION` is not set correctly, preventing CUDA 12.9 build 3. Fix a bug in `.github/actions/build-external-packages/action.yml` where `TORCH_WHEELS_PATH` is not set correctly and always defaulted to `dist` 4. In vLLM Dockerfile, use the correct index for the selected CUDA version, i.e. https://download.pytorch.org/whl/nightly/cu12[89] for CUDA 12.[89] 5. Install torch, vision, audio in one command. Unlike the CI image `pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm`, `pytorch/manylinux2_28-builder` doesn't have any torch dependencies preinstalled 6. Bump xformers version to 0.0.32.post2 now that PyTorch 2.8.0 has been landed on vLLM We need to prepare 3 wheels for vLLM, xformers, and flashinfer-python. And I rename them in the same convention as PyTorch nightlies `MAJOR.MINOR.PATCH.devYYYYMMDD` so that vLLM nightlies will work with torch nightlies on the same date. ### Usage * Install latest nightlies ``` pip install --pre torch torchvision torchaudio vllm xformers flashinfer_python \ --index-url https://download.pytorch.org/whl/nightly/cu129 ``` * Install a specific version ``` pip install --pre torch==2.9.0.dev20250903 torchvision torchaudio \ vllm==1.0.0.dev20250903 \ xformers=0.0.33.dev20250903 \ flashinfer_python=0.2.14.dev20250903 \ --index-url https://download.pytorch.org/whl/nightly/cu129 ``` Pull Request resolved: pytorch#162000 Approved by: https://github.com/atalman

I suspected that I would need to repack vLLM wheels from pytorch#162000 because I renamed the wheel, and it turns out to be true. The error is as follows: ``` $ uv pip install --pre xformers --index-url https://download.pytorch.org/whl/nightly/cu129 Using Python 3.12.11+meta environment at: venv/py3.12 Resolved 28 packages in 759ms error: Failed to install: xformers-0.0.33.dev20250901+cu129-cp39-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (xformers==0.0.33.dev20250901+cu129) Caused by: Wheel version does not match filename: 0.0.33+5d4b92a5.d20250907 != 0.0.33.dev20250901+cu129 ``` Pull Request resolved: pytorch#162371 Approved by: https://github.com/atalman

This uses the same approach as building triton wheel where we publish a nightly wheel for vLLM whenever its pinned commit is updated. The key change is to use `pytorch/manylinux2_28-builder` as the base image to build vLLM, so there are a couple of changes on the vLLM Dockerfile used by lumen_cli 1. `pytorch/manylinux2_28-builder` is RedHat instead of Debian-based, so no apt-get 2. Fix a bug in `.github/actions/build-external-packages/action.yml` where `CUDA_VERSION` is not set correctly, preventing CUDA 12.9 build 3. Fix a bug in `.github/actions/build-external-packages/action.yml` where `TORCH_WHEELS_PATH` is not set correctly and always defaulted to `dist` 4. In vLLM Dockerfile, use the correct index for the selected CUDA version, i.e. https://download.pytorch.org/whl/nightly/cu12[89] for CUDA 12.[89] 5. Install torch, vision, audio in one command. Unlike the CI image `pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm`, `pytorch/manylinux2_28-builder` doesn't have any torch dependencies preinstalled 6. Bump xformers version to 0.0.32.post2 now that PyTorch 2.8.0 has been landed on vLLM We need to prepare 3 wheels for vLLM, xformers, and flashinfer-python. And I rename them in the same convention as PyTorch nightlies `MAJOR.MINOR.PATCH.devYYYYMMDD` so that vLLM nightlies will work with torch nightlies on the same date. ### Usage * Install latest nightlies ``` pip install --pre torch torchvision torchaudio vllm xformers flashinfer_python \ --index-url https://download.pytorch.org/whl/nightly/cu129 ``` * Install a specific version ``` pip install --pre torch==2.9.0.dev20250903 torchvision torchaudio \ vllm==1.0.0.dev20250903 \ xformers=0.0.33.dev20250903 \ flashinfer_python=0.2.14.dev20250903 \ --index-url https://download.pytorch.org/whl/nightly/cu129 ``` Pull Request resolved: pytorch#162000 Approved by: https://github.com/atalman

I suspected that I would need to repack vLLM wheels from pytorch#162000 because I renamed the wheel, and it turns out to be true. The error is as follows: ``` $ uv pip install --pre xformers --index-url https://download.pytorch.org/whl/nightly/cu129 Using Python 3.12.11+meta environment at: venv/py3.12 Resolved 28 packages in 759ms error: Failed to install: xformers-0.0.33.dev20250901+cu129-cp39-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (xformers==0.0.33.dev20250901+cu129) Caused by: Wheel version does not match filename: 0.0.33+5d4b92a5.d20250907 != 0.0.33.dev20250901+cu129 ``` Pull Request resolved: pytorch#162371 Approved by: https://github.com/atalman

This uses the same approach as building triton wheel where we publish a nightly wheel for vLLM whenever its pinned commit is updated. The key change is to use `pytorch/manylinux2_28-builder` as the base image to build vLLM, so there are a couple of changes on the vLLM Dockerfile used by lumen_cli 1. `pytorch/manylinux2_28-builder` is RedHat instead of Debian-based, so no apt-get 2. Fix a bug in `.github/actions/build-external-packages/action.yml` where `CUDA_VERSION` is not set correctly, preventing CUDA 12.9 build 3. Fix a bug in `.github/actions/build-external-packages/action.yml` where `TORCH_WHEELS_PATH` is not set correctly and always defaulted to `dist` 4. In vLLM Dockerfile, use the correct index for the selected CUDA version, i.e. https://download.pytorch.org/whl/nightly/cu12[89] for CUDA 12.[89] 5. Install torch, vision, audio in one command. Unlike the CI image `pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm`, `pytorch/manylinux2_28-builder` doesn't have any torch dependencies preinstalled 6. Bump xformers version to 0.0.32.post2 now that PyTorch 2.8.0 has been landed on vLLM We need to prepare 3 wheels for vLLM, xformers, and flashinfer-python. And I rename them in the same convention as PyTorch nightlies `MAJOR.MINOR.PATCH.devYYYYMMDD` so that vLLM nightlies will work with torch nightlies on the same date. ### Usage * Install latest nightlies ``` pip install --pre torch torchvision torchaudio vllm xformers flashinfer_python \ --index-url https://download.pytorch.org/whl/nightly/cu129 ``` * Install a specific version ``` pip install --pre torch==2.9.0.dev20250903 torchvision torchaudio \ vllm==1.0.0.dev20250903 \ xformers=0.0.33.dev20250903 \ flashinfer_python=0.2.14.dev20250903 \ --index-url https://download.pytorch.org/whl/nightly/cu129 ``` Pull Request resolved: pytorch#162000 Approved by: https://github.com/atalman

I suspected that I would need to repack vLLM wheels from pytorch#162000 because I renamed the wheel, and it turns out to be true. The error is as follows: ``` $ uv pip install --pre xformers --index-url https://download.pytorch.org/whl/nightly/cu129 Using Python 3.12.11+meta environment at: venv/py3.12 Resolved 28 packages in 759ms error: Failed to install: xformers-0.0.33.dev20250901+cu129-cp39-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (xformers==0.0.33.dev20250901+cu129) Caused by: Wheel version does not match filename: 0.0.33+5d4b92a5.d20250907 != 0.0.33.dev20250901+cu129 ``` Pull Request resolved: pytorch#162371 Approved by: https://github.com/atalman

This uses the same approach as building triton wheel where we publish a nightly wheel for vLLM whenever its pinned commit is updated. The key change is to use `pytorch/manylinux2_28-builder` as the base image to build vLLM, so there are a couple of changes on the vLLM Dockerfile used by lumen_cli 1. `pytorch/manylinux2_28-builder` is RedHat instead of Debian-based, so no apt-get 2. Fix a bug in `.github/actions/build-external-packages/action.yml` where `CUDA_VERSION` is not set correctly, preventing CUDA 12.9 build 3. Fix a bug in `.github/actions/build-external-packages/action.yml` where `TORCH_WHEELS_PATH` is not set correctly and always defaulted to `dist` 4. In vLLM Dockerfile, use the correct index for the selected CUDA version, i.e. https://download.pytorch.org/whl/nightly/cu12[89] for CUDA 12.[89] 5. Install torch, vision, audio in one command. Unlike the CI image `pytorch-linux-jammy-cuda12.8-cudnn9-py3.12-gcc11-vllm`, `pytorch/manylinux2_28-builder` doesn't have any torch dependencies preinstalled 6. Bump xformers version to 0.0.32.post2 now that PyTorch 2.8.0 has been landed on vLLM We need to prepare 3 wheels for vLLM, xformers, and flashinfer-python. And I rename them in the same convention as PyTorch nightlies `MAJOR.MINOR.PATCH.devYYYYMMDD` so that vLLM nightlies will work with torch nightlies on the same date. ### Usage * Install latest nightlies ``` pip install --pre torch torchvision torchaudio vllm xformers flashinfer_python \ --index-url https://download.pytorch.org/whl/nightly/cu129 ``` * Install a specific version ``` pip install --pre torch==2.9.0.dev20250903 torchvision torchaudio \ vllm==1.0.0.dev20250903 \ xformers=0.0.33.dev20250903 \ flashinfer_python=0.2.14.dev20250903 \ --index-url https://download.pytorch.org/whl/nightly/cu129 ``` Pull Request resolved: pytorch#162000 Approved by: https://github.com/atalman

I suspected that I would need to repack vLLM wheels from pytorch#162000 because I renamed the wheel, and it turns out to be true. The error is as follows: ``` $ uv pip install --pre xformers --index-url https://download.pytorch.org/whl/nightly/cu129 Using Python 3.12.11+meta environment at: venv/py3.12 Resolved 28 packages in 759ms error: Failed to install: xformers-0.0.33.dev20250901+cu129-cp39-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (xformers==0.0.33.dev20250901+cu129) Caused by: Wheel version does not match filename: 0.0.33+5d4b92a5.d20250907 != 0.0.33.dev20250901+cu129 ``` Pull Request resolved: pytorch#162371 Approved by: https://github.com/atalman

Build vLLM nightly wheels

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Signed-off-by: Huy Do <huydhn@gmail.com>

huydhn added the test-config/default label Sep 2, 2025

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huydhn added 16 commits September 2, 2025 12:55

Cleaning up

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Cleaning up

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Set TORCH_WHEELS_PATH correctly

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Syntax

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Build for both 12.8 and 12.9

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Debug

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Get the right wheels

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Another try

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Pull vLLM base image

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Setup the base image correctly

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Set ARG correctly

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Minor cleanup

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Copy all files

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Use linux.12xlarge.memory

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Fix lints

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Urgh, I hate tzdata config

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huydhn added the ciflow/vllm label Sep 3, 2025

huydhn added 4 commits September 3, 2025 02:03

Support manylinux builder image

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Continue tmrw

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Debug

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Prepare and upload the wheels

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huydhn removed the test-config/default label Sep 3, 2025

huydhn changed the title ~~Build vLLM nightly wheels~~ Build vLLM nightly wheels (from its pinned commit) Sep 3, 2025

huydhn changed the title ~~Build vLLM nightly wheels (from its pinned commit)~~ Build vLLM nightly wheels Sep 3, 2025

huydhn requested review from atalman and yangw-dev September 3, 2025 22:54

huydhn requested a review from yangw-dev September 4, 2025 08:30

atalman approved these changes Sep 6, 2025

View reviewed changes

Also build for CUDA 13.0

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huydhn added 2 commits September 6, 2025 01:12

Leave CUDA 13.0 for later

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Update flashinfer build

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huydhn mentioned this pull request Sep 8, 2025

Surface vLLM wheels (vllm, flashinfer_python, and xformers) pytorch/test-infra#7114

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Repackage vLLM nightlies #162371

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Surface vLLM wheels (vllm, flashinfer_python, and xformers) (#7114)

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A follow-up after pytorch/pytorch#162000 to surface these wheels on PyTorch index Signed-off-by: Huy Do <huydhn@gmail.com>

huydhn deleted the add-vllm-nightly-build branch September 15, 2025 23:08

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