[Bugfix]pass TP size to diffusion config (#2867)

Signed-off-by: natureofnature <wzliu@connect.hku.hk>
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NATURE authored and GitHub committed 2026-04-30 11:56:51 +08:00
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commit bfb730ed50
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@@ -297,7 +297,7 @@ steps:
- label: ":full_moon: Diffusion X2I(&A&T) · Function Test with H100"
timeout_in_minutes: 120
commands:
- pytest -sv tests/e2e/ -k "not test_wan and not hunyuan" -m "full_model and diffusion and H100" --run-level "full_model" --ignore=tests/e2e/accuracy
- pytest -sv tests/e2e/ -k "not test_wan and not test_bagel_expansion and not hunyuan" -m "full_model and diffusion and H100" --run-level "full_model" --ignore=tests/e2e/accuracy
agents:
queue: "mithril-h100-pool"
plugins:
@@ -332,10 +332,48 @@ steps:
path: /mnt/hf-cache
type: DirectoryOrCreate
- label: ":full_moon: Diffusion X2I(&A&T) · Bagel Function Test with H100"
timeout_in_minutes: 120
commands:
- pytest -sv tests/e2e/online_serving/test_bagel_expansion.py -m "full_model and diffusion and H100" --run-level "full_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: 3
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: ":full_moon: Diffusion X2I(&A&T) · Function Test with L4"
timeout_in_minutes: 60
commands:
- pytest -sv tests/e2e/ -k "not test_wan and not hunyuan" -m "full_model and diffusion and L4" --run-level "full_model" --ignore=tests/e2e/accuracy
- pytest -sv tests/e2e/ -k "not test_wan and not test_bagel_expansion and not hunyuan" -m "full_model and diffusion and L4" --run-level "full_model" --ignore=tests/e2e/accuracy
agents:
queue: "gpu_4_queue" # g6.12xlarge instance on AWS, has 4 L4 GPU
plugins: