[CI/Build] Share nightly CUDA YAML between H100/L4 and B200 (#7028)

Signed-off-by: wangyu <410167048@qq.com>
Signed-off-by: [Your Name] [Your Email]
Signed-off-by: [Your Name] <your.email@example.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: amy-why-3459 <wuhaiyan17@huawei.com>
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authored and GitHub committed 2026-09-14 14:27:10 +08:00
1 parent 58adeec05f
commit 64903b8e30
78 files changed
+437 -321

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@@ -1,3 +1,6 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
"""
Offline inference tests: image-to-video.
See examples/offline_inference/image_to_video/README.md
@@ -17,7 +20,7 @@ pytestmark = [
pytest.mark.usefixtures("clean_gpu_memory_between_tests"),
pytest.mark.full_model,
pytest.mark.example,
*hardware_marks(res={"cuda": "H100"}),
*hardware_marks(res={"cuda": ["H100", "B200"]}),
]
I2V_SCRIPT = EXAMPLES / "offline_inference" / "image_to_video" / "image_to_video.py"
@@ -1,5 +1,5 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
"""Offline E2E test for InternVLA-A1 open-loop inference."""
@@ -26,6 +26,7 @@ def _required_env(name: str) -> str:
value = os.getenv(name)
if not value:
pytest.skip(f"{name} is not set")
assert value
return value
@@ -18,7 +18,7 @@ pytestmark = [
pytest.mark.usefixtures("clean_gpu_memory_between_tests"),
pytest.mark.full_model,
pytest.mark.example,
*hardware_marks(res={"cuda": "H100"}),
*hardware_marks(res={"cuda": ["H100", "B200"]}),
]
T2I_SCRIPT = EXAMPLES / "offline_inference" / "text_to_image" / "text_to_image.py"
@@ -1,3 +1,6 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
"""VACE coverage through the shared text-to-video and image-to-video examples."""
from pathlib import Path
@@ -14,7 +17,7 @@ pytestmark = [
pytest.mark.full_model,
pytest.mark.diffusion,
pytest.mark.example,
*hardware_marks(res={"cuda": "H100"}),
*hardware_marks(res={"cuda": ["H100", "B200"]}),
]
TEXT_TO_VIDEO_README = EXAMPLES / "offline_inference" / "text_to_video" / "text_to_video.md"