[CI] Temporarily remove slow tests. (#1143)
Signed-off-by: Alicia <115451386+congw729@users.noreply.github.com> Signed-off-by: princepride <wangzhipeng628@gmail.com> Co-authored-by: princepride <wangzhipeng628@gmail.com>
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@@ -233,43 +233,43 @@ steps:
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volumes:
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- "/fsx/hf_cache:/fsx/hf_cache"
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- label: "Omni Model Test with H100"
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timeout_in_minutes: 30
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depends_on: image-build
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commands:
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- export VLLM_WORKER_MULTIPROC_METHOD=spawn
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- export VLLM_TEST_CLEAN_GPU_MEMORY="1"
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- pytest -s -v tests/e2e/offline_inference/test_qwen3_omni.py
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- pytest -s -v tests/e2e/online_serving/test_qwen3_omni.py
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- pytest -s -v tests/e2e/online_serving/test_async_omni.py
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agents:
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queue: "mithril-h100-pool"
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plugins:
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- kubernetes:
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podSpec:
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containers:
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- image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
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resources:
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limits:
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nvidia.com/gpu: 2
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volumeMounts:
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- name: devshm
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mountPath: /dev/shm
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- name: hf-cache
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mountPath: /root/.cache/huggingface
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env:
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- name: HF_HOME
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value: /root/.cache/huggingface
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nodeSelector:
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node.kubernetes.io/instance-type: gpu-h100-sxm
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volumes:
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- name: devshm
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emptyDir:
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medium: Memory
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- name: hf-cache
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hostPath:
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path: /mnt/hf-cache
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type: DirectoryOrCreate
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# - label: "Omni Model Test with H100"
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# timeout_in_minutes: 30
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# depends_on: image-build
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# commands:
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# - export VLLM_WORKER_MULTIPROC_METHOD=spawn
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# - export VLLM_TEST_CLEAN_GPU_MEMORY="1"
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# - pytest -s -v tests/e2e/offline_inference/test_qwen3_omni.py
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# - pytest -s -v tests/e2e/online_serving/test_qwen3_omni.py
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# - pytest -s -v tests/e2e/online_serving/test_async_omni.py
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# agents:
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# queue: "mithril-h100-pool"
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# plugins:
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# - kubernetes:
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# podSpec:
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# containers:
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# - image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
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# resources:
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# limits:
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# nvidia.com/gpu: 2
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# volumeMounts:
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# - name: devshm
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# mountPath: /dev/shm
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# - name: hf-cache
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# mountPath: /root/.cache/huggingface
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# env:
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# - name: HF_HOME
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# value: /root/.cache/huggingface
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# nodeSelector:
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# node.kubernetes.io/instance-type: gpu-h100-sxm
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# volumes:
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# - name: devshm
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# emptyDir:
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# medium: Memory
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# - name: hf-cache
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# hostPath:
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# path: /mnt/hf-cache
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# type: DirectoryOrCreate
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- label: "Diffusion Image Edit Test with H100 (1 GPU)"
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timeout_in_minutes: 20
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@@ -306,37 +306,37 @@ steps:
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path: /mnt/hf-cache
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type: DirectoryOrCreate
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- label: "Bagel Text2Img Model Test with H100"
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timeout_in_minutes: 30
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depends_on: image-build
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commands:
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- export VLLM_WORKER_MULTIPROC_METHOD=spawn
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- pytest -s -v tests/e2e/offline_inference/test_bagel_text2img.py
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agents:
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queue: "mithril-h100-pool"
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plugins:
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- kubernetes:
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podSpec:
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containers:
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- image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
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resources:
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limits:
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nvidia.com/gpu: 1
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volumeMounts:
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- name: devshm
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mountPath: /dev/shm
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- name: hf-cache
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mountPath: /root/.cache/huggingface
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env:
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- name: HF_HOME
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value: /root/.cache/huggingface
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nodeSelector:
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node.kubernetes.io/instance-type: gpu-h100-sxm
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volumes:
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- name: devshm
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emptyDir:
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medium: Memory
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- name: hf-cache
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hostPath:
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path: /mnt/hf-cache
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type: DirectoryOrCreate
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# - label: "Bagel Text2Img Model Test with H100"
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# timeout_in_minutes: 30
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# depends_on: image-build
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# commands:
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# - export VLLM_WORKER_MULTIPROC_METHOD=spawn
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# - pytest -s -v tests/e2e/offline_inference/test_bagel_text2img.py
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# agents:
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# queue: "mithril-h100-pool"
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# plugins:
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# - kubernetes:
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# podSpec:
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# containers:
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# - image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
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# resources:
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# limits:
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# nvidia.com/gpu: 1
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# volumeMounts:
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# - name: devshm
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# mountPath: /dev/shm
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# - name: hf-cache
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# mountPath: /root/.cache/huggingface
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# env:
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# - name: HF_HOME
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# value: /root/.cache/huggingface
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# nodeSelector:
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# node.kubernetes.io/instance-type: gpu-h100-sxm
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# volumes:
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# - name: devshm
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# emptyDir:
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# medium: Memory
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# - name: hf-cache
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# hostPath:
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# path: /mnt/hf-cache
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# type: DirectoryOrCreate
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@@ -12,7 +12,7 @@ stage_args:
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model_arch: BagelForConditionalGeneration
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worker_type: ar
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scheduler_cls: vllm_omni.core.sched.omni_ar_scheduler.OmniARScheduler
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gpu_memory_utilization: 0.60
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gpu_memory_utilization: 0.35
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enforce_eager: true
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trust_remote_code: true
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engine_output_type: text
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@@ -44,7 +44,7 @@ stage_args:
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max_batch_size: 1
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engine_args:
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model_stage: dit
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gpu_memory_utilization: 0.4
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gpu_memory_utilization: 0.55
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enforce_eager: true
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trust_remote_code: true
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engine_output_type: image
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@@ -12,7 +12,7 @@ stage_args:
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model_arch: BagelForConditionalGeneration
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worker_type: ar
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scheduler_cls: vllm_omni.core.sched.omni_ar_scheduler.OmniARScheduler
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gpu_memory_utilization: 0.65
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gpu_memory_utilization: 0.35
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enforce_eager: true
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trust_remote_code: true
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engine_output_type: text
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@@ -43,7 +43,7 @@ stage_args:
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max_batch_size: 1
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engine_args:
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model_stage: dit
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gpu_memory_utilization: 0.4
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gpu_memory_utilization: 0.55
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enforce_eager: true
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trust_remote_code: true
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engine_output_type: image
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@@ -161,7 +161,7 @@ def _generate_bagel_image(omni: Omni, prompt: str = DEFAULT_PROMPT) -> Image.Ima
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def test_bagel_text2img_shared_memory_connector():
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"""Test Bagel text2img with shared memory connector."""
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config_path = str(Path(__file__).parent / "stage_configs" / "bagel_sharedmemory_ci.yaml")
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omni = Omni(model="ByteDance-Seed/BAGEL-7B-MoT", stage_configs_path=config_path)
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omni = Omni(model="ByteDance-Seed/BAGEL-7B-MoT", stage_configs_path=config_path, stage_init_timeout=300)
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try:
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generated_image = _generate_bagel_image(omni)
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@@ -288,7 +288,7 @@ def test_bagel_text2img_mooncake_connector():
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http_port=MOONCAKE_HTTP_PORT,
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)
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omni = Omni(model="ByteDance-Seed/BAGEL-7B-MoT", stage_configs_path=temp_config_file)
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omni = Omni(model="ByteDance-Seed/BAGEL-7B-MoT", stage_configs_path=temp_config_file, stage_init_timeout=300)
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generated_image = _generate_bagel_image(omni)
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_validate_pixels(generated_image)
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