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chore: import upstream snapshot with attribution
2026-07-13 12:29:08 +08:00

708 行
26 KiB
YAML

env:
VLLM_WORKER_MULTIPROC_METHOD: spawn
VLLM_USE_FLASHINFER_MOE_FP16: 0
HF_HUB_DOWNLOAD_TIMEOUT: 300
HF_HUB_ETAG_TIMEOUT: 60
steps:
- group: ":card_index_dividers: Simple Test"
depends_on: upload-ready-pipeline
steps:
- label: "Simple · Diffusion & Model Executor Test"
commands:
- "timeout 20m pytest -sv tests/diffusion tests/model_executor -m 'core_model and cpu' --cov=vllm_omni --cov-report=term-missing:skip-covered --cov-report=xml"
agents:
queue: "gpu_1_queue"
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- label: "Simple · Other Test"
commands:
- "timeout 20m pytest -sv -m 'core_model and cpu' --ignore=tests/diffusion --ignore=tests/model_executor --cov=vllm_omni --cov-report=term-missing:skip-covered --cov-report=xml"
agents:
queue: "gpu_1_queue"
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- label: "Custom Pipeline Test"
depends_on: upload-ready-pipeline
commands:
- timeout 20m pytest -s -v tests/e2e/offline_inference/custom_pipeline/ -m "core_model"
agents:
queue: "gpu_1_queue"
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
environment:
- "HF_HOME=/fsx/hf_cache"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- group: ":card_index_dividers: Diffusion Test"
depends_on: upload-ready-pipeline
steps:
- label: "Diffusion · Offloader Test"
commands:
- timeout 40m pytest -s -v tests/diffusion/offloader -m "core_model and cuda" --run-level "core_model"
agents:
queue: "gpu_1_queue" # g6.4xlarge instance on AWS, has 1 L4 GPU
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- label: "Diffusion · Cache Test"
commands:
- timeout 15m pytest -sv tests/diffusion/cache -m 'core_model and cuda' --run-level "core_model"
agents:
queue: "gpu_1_queue" # g6.4xlarge instance on AWS, has 1 L4 GPU
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- label: "Diffusion · Batch Test"
commands:
- timeout 15m pytest -sv tests/diffusion/batching -m 'core_model and cuda' --run-level "core_model"
agents:
queue: "gpu_1_queue" # g6.4xlarge instance on AWS, has 1 L4 GPU
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- label: "Diffusion · Distributed Test"
commands:
- timeout 20m pytest -sv tests/diffusion/distributed -m 'core_model and cuda' --run-level "core_model"
agents:
queue: "gpu_4_queue" # g6.12xlarge instance on AWS, has 4 L4 GPU
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
shm-size: "8gb"
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- label: "Diffusion · Model Test"
commands:
- timeout 15m pytest -sv tests/diffusion/models/ -m 'core_model and cuda' --run-level "core_model"
agents:
queue: "gpu_1_queue" # g6.4xlarge instance on AWS, has 1 L4 GPU
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- label: "Diffusion · Other Test"
commands:
- timeout 15m pytest -sv tests/diffusion/*.py -m 'core_model and cuda' --run-level "core_model"
agents:
queue: "gpu_1_queue" # g6.4xlarge instance on AWS, has 1 L4 GPU
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- group: ":card_index_dividers: Tiny Model Tests [Single GPU]"
depends_on: upload-ready-pipeline
steps:
- label: "Tiny Model Tests · Diffusion (base)"
commands:
- timeout 15m pytest -sv tests/model_tests/diffusion -m 'core_model and cuda' --run-level "core_model"
agents:
# Ready label only runs the cases that don't need parallelism for tiny
# model tests, which is usually just a smoke test for TTI and I2I
queue: "gpu_1_queue" # g6.4xlarge instance on AWS, has 1 L4 GPU
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- label: "Engine&Model Executor Test"
depends_on: upload-ready-pipeline
commands:
- |
timeout 15m bash -c "
pytest -sv tests/engine/ tests/model_executor/ -m 'core_model and cuda' --run-level 'core_model'
"
agents:
queue: "gpu_1_queue" # g6.12xlarge instance on AWS, has 4 L4 GPU
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
shm-size: "8gb"
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- label: "Distributed Test"
depends_on: upload-ready-pipeline
commands:
- |
timeout 20m bash -c "
pytest -sv tests/distributed/ -m 'core_model and cuda and L4' --run-level 'core_model'
"
agents:
queue: "gpu_1_queue" # g6.4xlarge instance on AWS, has 1 L4 GPU
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
shm-size: "8gb"
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- label: "Entrypoints Test"
depends_on: upload-ready-pipeline
commands:
- |
timeout 30m bash -c "
export VLLM_WORKER_MULTIPROC_METHOD=spawn
pytest -sv tests/entrypoints/ -m 'core_model and cuda' --run-level 'core_model'
"
agents:
queue: "gpu_1_queue"
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
shm-size: "8gb"
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- group: ":card_index_dividers: E2E Test"
depends_on: upload-ready-pipeline
steps:
- label: "RLHF · VeRL-Omni E2E Test"
source_file_dependencies:
- tests/e2e/offline_inference/rlhf_test/test_verl_omni_e2e.py
- tests/e2e/offline_inference/custom_pipeline/
- vllm_omni/diffusion/
- vllm_omni/engine/
- vllm_omni/entrypoints/
- vllm_omni/inputs/
- vllm_omni/outputs/
commands:
- |
timeout 20m bash -c "
pytest -s -v tests/e2e/offline_inference/rlhf_test/test_verl_omni_e2e.py
"
agents:
queue: "gpu_1_queue"
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
shm-size: "8gb"
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- label: "Omni · Qwen3-Omni Test"
source_file_dependencies:
- tests/e2e/online_serving/test_qwen3_omni.py
- vllm_omni/model_executor/models/qwen3_omni/
- vllm_omni/model_executor/stage_input_processors/qwen3_omni.py
- vllm_omni/deploy/qwen3_omni_moe.yaml
commands:
- |
timeout 20m bash -c "
pytest -s -v tests/e2e/online_serving/test_qwen3_omni.py -m 'core_model' --run-level 'core_model'
"
agents:
queue: "mithril-h100-pool"
plugins:
- kubernetes:
podSpec:
containers:
- image: 936637512419.dkr.ecr.us-west-2.amazonaws.com/vllm-ci-pull-through-cache/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
resources:
limits:
nvidia.com/gpu: 2
volumeMounts:
- name: devshm
mountPath: /dev/shm
- name: hf-cache
mountPath: /root/.cache/huggingface
env:
- name: HF_HOME
value: /root/.cache/huggingface
nodeSelector:
node.kubernetes.io/instance-type: gpu-h100-sxm
volumes:
- name: devshm
emptyDir:
medium: Memory
- name: hf-cache
hostPath:
path: /mnt/hf-cache
type: DirectoryOrCreate
- label: "TTS · VoxCPM2 Test"
source_file_dependencies:
- tests/e2e/online_serving/test_voxcpm2_tts.py
- vllm_omni/model_executor/models/voxcpm2/
- vllm_omni/deploy/voxcpm2.yaml
timeout_in_minutes: 30
commands:
- |
timeout 30m bash -c "
export VLLM_LOGGING_LEVEL=DEBUG
export VLLM_WORKER_MULTIPROC_METHOD=spawn
pytest -s -v tests/e2e/online_serving/test_voxcpm2_tts.py -m 'core_model' --run-level 'core_model'
"
agents:
queue: "gpu_1_queue"
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
shm-size: "8gb"
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- label: "TTS · Qwen3-TTS CustomVoice Test"
source_file_dependencies:
- tests/e2e/online_serving/test_qwen3_tts_customvoice.py
- vllm_omni/model_executor/models/qwen3_tts/
- vllm_omni/model_executor/stage_input_processors/qwen3_tts.py
- vllm_omni/deploy/qwen3_tts.yaml
commands:
- |
timeout 20m bash -c "
export VLLM_ALLOW_LONG_MAX_MODEL_LEN=1
pytest -s -v tests/e2e/online_serving/test_qwen3_tts_customvoice.py -m 'core_model' --run-level 'core_model'
"
agents:
queue: "gpu_1_queue"
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
shm-size: "8gb"
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- label: "TTS · Qwen3-TTS Base Test"
source_file_dependencies:
- tests/e2e/online_serving/test_qwen3_tts_base.py
- vllm_omni/model_executor/models/qwen3_tts/
- vllm_omni/model_executor/stage_input_processors/qwen3_tts.py
- vllm_omni/deploy/qwen3_tts.yaml
commands:
- |
timeout 20m bash -c "
export VLLM_WORKER_MULTIPROC_METHOD=spawn
export VLLM_ALLOW_LONG_MAX_MODEL_LEN=1
export VLLM_OMNI_USE_V2_RUNNER=1
pytest -s -v tests/e2e/online_serving/test_qwen3_tts_base.py -m 'core_model' --run-level 'core_model'
"
agents:
queue: "gpu_1_queue"
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
shm-size: "8gb"
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- label: "TTS · Higgs-Audio-V3 Test"
source_file_dependencies:
- tests/e2e/online_serving/test_higgs_audio_v3.py
- vllm_omni/model_executor/models/higgs_audio_v3/
- vllm_omni/model_executor/stage_input_processors/higgs_audio_v3.py
- vllm_omni/deploy/higgs_multimodal_qwen3.yaml
commands:
- |
timeout 20m bash -c "
export VLLM_WORKER_MULTIPROC_METHOD=spawn
export VLLM_USE_DEEP_GEMM=0
export VLLM_MOE_USE_DEEP_GEMM=0
pytest -s -v tests/e2e/online_serving/test_higgs_audio_v3.py -m 'core_model' --run-level 'core_model'
"
agents:
queue: "gpu_1_queue"
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
shm-size: "8gb"
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"
- label: "Diffusion · Qwen Image Edit Test"
source_file_dependencies:
- tests/e2e/online_serving/test_qwen_image_edit.py
- vllm_omni/diffusion/models/qwen_image/
commands:
- |
timeout 20m bash -c "
pytest -s -v tests/e2e/online_serving/test_qwen_image_edit.py -m 'core_model' --run-level 'core_model'
"
agents:
queue: "mithril-h100-pool"
plugins:
- kubernetes:
podSpec:
containers:
- image: 936637512419.dkr.ecr.us-west-2.amazonaws.com/vllm-ci-pull-through-cache/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
resources:
limits:
nvidia.com/gpu: 1
volumeMounts:
- name: devshm
mountPath: /dev/shm
- name: hf-cache
mountPath: /root/.cache/huggingface
env:
- name: HF_HOME
value: /root/.cache/huggingface
nodeSelector:
node.kubernetes.io/instance-type: gpu-h100-sxm
volumes:
- name: devshm
emptyDir:
medium: Memory
- name: hf-cache
hostPath:
path: /mnt/hf-cache
type: DirectoryOrCreate
- label: "Diffusion · Bagel Test"
source_file_dependencies:
- tests/e2e/online_serving/test_bagel.py
- vllm_omni/model_executor/models/bagel/
- vllm_omni/diffusion/models/bagel/
- vllm_omni/model_executor/stage_input_processors/bagel.py
- vllm_omni/deploy/bagel.yaml
commands:
- |
timeout 40m bash -c "
export VLLM_IMAGE_FETCH_TIMEOUT=60
pytest -s -v tests/e2e/online_serving/test_bagel.py -m 'core_model' --run-level 'core_model'
"
agents:
queue: "mithril-h100-pool"
plugins:
- kubernetes:
podSpec:
containers:
- image: 936637512419.dkr.ecr.us-west-2.amazonaws.com/vllm-ci-pull-through-cache/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
resources:
limits:
nvidia.com/gpu: 1
volumeMounts:
- name: devshm
mountPath: /dev/shm
- name: hf-cache
mountPath: /root/.cache/huggingface
env:
- name: HF_HOME
value: /root/.cache/huggingface
- name: HF_TOKEN
valueFrom:
secretKeyRef:
name: hf-token-secret
key: token
nodeSelector:
node.kubernetes.io/instance-type: gpu-h100-sxm
volumes:
- name: devshm
emptyDir:
medium: Memory
- name: hf-cache
hostPath:
path: /mnt/hf-cache
type: DirectoryOrCreate
- label: "Diffusion · Wan22 Test"
source_file_dependencies:
- tests/e2e/online_serving/test_wan22_t2v.py
- vllm_omni/diffusion/models/wan2_2/
commands:
- |
timeout 40m bash -c "
export VLLM_IMAGE_FETCH_TIMEOUT=60
pytest -s -v tests/e2e/online_serving/test_wan22_t2v.py -m 'core_model' --run-level 'core_model'
"
agents:
queue: "mithril-h100-pool"
plugins:
- kubernetes:
podSpec:
containers:
- image: 936637512419.dkr.ecr.us-west-2.amazonaws.com/vllm-ci-pull-through-cache/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
resources:
limits:
nvidia.com/gpu: 1
volumeMounts:
- name: devshm
mountPath: /dev/shm
- name: hf-cache
mountPath: /root/.cache/huggingface
env:
- name: HF_HOME
value: /root/.cache/huggingface
- name: HF_TOKEN
valueFrom:
secretKeyRef:
name: hf-token-secret
key: token
nodeSelector:
node.kubernetes.io/instance-type: gpu-h100-sxm
volumes:
- name: devshm
emptyDir:
medium: Memory
- name: hf-cache
hostPath:
path: /mnt/hf-cache
type: DirectoryOrCreate
- label: "Diffusion · Cosmos3 Test"
source_file_dependencies:
- tests/e2e/online_serving/test_cosmos3.py
- vllm_omni/diffusion/models/cosmos3/
commands:
- |
timeout 40m bash -c "
export VLLM_IMAGE_FETCH_TIMEOUT=60
pytest -s -v tests/e2e/online_serving/test_cosmos3.py -m 'core_model' --run-level 'core_model'
"
agents:
queue: "mithril-h100-pool"
plugins:
- kubernetes:
podSpec:
containers:
- image: 936637512419.dkr.ecr.us-west-2.amazonaws.com/vllm-ci-pull-through-cache/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
resources:
limits:
nvidia.com/gpu: 1
volumeMounts:
- name: devshm
mountPath: /dev/shm
- name: hf-cache
mountPath: /root/.cache/huggingface
env:
- name: HF_HOME
value: /root/.cache/huggingface
- name: HF_TOKEN
valueFrom:
secretKeyRef:
name: hf-token-secret
key: token
nodeSelector:
node.kubernetes.io/instance-type: gpu-h100-sxm
volumes:
- name: devshm
emptyDir:
medium: Memory
- name: hf-cache
hostPath:
path: /mnt/hf-cache
type: DirectoryOrCreate
- label: "Diffusion · Qwen Image Test"
source_file_dependencies:
- tests/e2e/online_serving/test_qwen_image.py
- vllm_omni/diffusion/models/qwen_image/
commands:
- |
timeout 40m bash -c "
export VLLM_IMAGE_FETCH_TIMEOUT=60
pytest -s -v tests/e2e/online_serving/test_qwen_image.py -m 'core_model' --run-level 'core_model'
"
agents:
queue: "mithril-h100-pool"
plugins:
- kubernetes:
podSpec:
containers:
- image: 936637512419.dkr.ecr.us-west-2.amazonaws.com/vllm-ci-pull-through-cache/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
resources:
limits:
nvidia.com/gpu: 1
volumeMounts:
- name: devshm
mountPath: /dev/shm
- name: hf-cache
mountPath: /root/.cache/huggingface
env:
- name: HF_HOME
value: /root/.cache/huggingface
- name: HF_TOKEN
valueFrom:
secretKeyRef:
name: hf-token-secret
key: token
nodeSelector:
node.kubernetes.io/instance-type: gpu-h100-sxm
volumes:
- name: devshm
emptyDir:
medium: Memory
- name: hf-cache
hostPath:
path: /mnt/hf-cache
type: DirectoryOrCreate
- label: "Diffusion · Qwen Image Layered Test"
source_file_dependencies:
- tests/e2e/online_serving/test_qwen_image_layered.py
- vllm_omni/diffusion/models/qwen_image/
commands:
- |
timeout 40m bash -c "
export VLLM_IMAGE_FETCH_TIMEOUT=60
pytest -s -v tests/e2e/online_serving/test_qwen_image_layered.py -m 'core_model' --run-level 'core_model'
"
agents:
queue: "mithril-h100-pool"
plugins:
- kubernetes:
podSpec:
containers:
- image: 936637512419.dkr.ecr.us-west-2.amazonaws.com/vllm-ci-pull-through-cache/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
resources:
limits:
nvidia.com/gpu: 1
volumeMounts:
- name: devshm
mountPath: /dev/shm
- name: hf-cache
mountPath: /root/.cache/huggingface
env:
- name: HF_HOME
value: /root/.cache/huggingface
- name: HF_TOKEN
valueFrom:
secretKeyRef:
name: hf-token-secret
key: token
nodeSelector:
node.kubernetes.io/instance-type: gpu-h100-sxm
volumes:
- name: devshm
emptyDir:
medium: Memory
- name: hf-cache
hostPath:
path: /mnt/hf-cache
type: DirectoryOrCreate
- label: "Diffusion · GGUF Plugin Test"
soft_fail: true
source_file_dependencies:
- tests/plugin/test_gguf_diffusion.py
- vllm_omni/diffusion/model_loader
commands:
- pip install "vllm-gguf-plugin>=0.0.3"
- timeout 30m pytest -sv tests/plugin/test_gguf_diffusion.py
agents:
queue: "gpu_1_queue" # g6.4xlarge instance on AWS, has 1 L4 GPU
plugins:
- docker#v5.2.0:
image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
always-pull: true
propagate-environment: true
environment:
- "HF_HOME=/fsx/hf_cache"
- "HF_TOKEN"
volumes:
- "/fsx/hf_cache:/fsx/hf_cache"