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bring back kimi vl ci (#8537)

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This commit is contained in:
Stefan He
2025-07-29 13:14:18 -07:00
committed by GitHub
parent a4c3b121d8
commit c0fd77e839
2 changed files with 43 additions and 45 deletions
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43
test/srt/test_vision_openai_server_b.py
View File

@@ -172,29 +172,28 @@ class TestGemma3nServer(TestOpenAIVisionServer):
cls.base_url += "/v1"
# commented out before https://huggingface.co/moonshotai/Kimi-VL-A3B-Instruct/discussions/27 get fixed
# class TestKimiVLServer(TestOpenAIVisionServer):
# @classmethod
# def setUpClass(cls):
# cls.model = "moonshotai/Kimi-VL-A3B-Instruct"
# cls.base_url = DEFAULT_URL_FOR_TEST
# cls.api_key = "sk-123456"
# cls.process = popen_launch_server(
# cls.model,
# cls.base_url,
# timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
# other_args=[
# "--trust-remote-code",
# "--context-length",
# "4096",
# "--dtype",
# "bfloat16",
# ],
# )
# cls.base_url += "/v1"
class TestKimiVLServer(TestOpenAIVisionServer):
@classmethod
def setUpClass(cls):
cls.model = "moonshotai/Kimi-VL-A3B-Instruct"
cls.base_url = DEFAULT_URL_FOR_TEST
cls.api_key = "sk-123456"
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=[
"--trust-remote-code",
"--context-length",
"4096",
"--dtype",
"bfloat16",
],
)
cls.base_url += "/v1"
# def test_video_images_chat_completion(self):
# pass
def test_video_images_chat_completion(self):
pass
class TestPhi4MMServer(TestOpenAIVisionServer):

45
test/srt/test_vlm_input_format.py
View File

@@ -189,32 +189,31 @@ class TestGemmaUnderstandsImage(VLMInputTestBase, unittest.IsolatedAsyncioTestCa
)
# commented out before https://huggingface.co/moonshotai/Kimi-VL-A3B-Instruct/discussions/27 get fixed
# class TestKimiVLImageUnderstandsImage(
# VLMInputTestBase, unittest.IsolatedAsyncioTestCase
# ):
# model_path = "moonshotai/Kimi-VL-A3B-Instruct"
# chat_template = "kimi-vl"
class TestKimiVLImageUnderstandsImage(
VLMInputTestBase, unittest.IsolatedAsyncioTestCase
):
model_path = "moonshotai/Kimi-VL-A3B-Instruct"
chat_template = "kimi-vl"
# @classmethod
# def _init_visual(cls):
# model = AutoModel.from_pretrained(cls.model_path, trust_remote_code=True)
# cls.vision_tower = model.vision_tower.eval().to(cls.device)
# cls.mm_projector = model.multi_modal_projector.eval().to(cls.device)
@classmethod
def _init_visual(cls):
model = AutoModel.from_pretrained(cls.model_path, trust_remote_code=True)
cls.vision_tower = model.vision_tower.eval().to(cls.device)
cls.mm_projector = model.multi_modal_projector.eval().to(cls.device)
# cls.visual = lambda tokenizer_output: cls.mm_projector(
# cls.vision_tower(
# pixel_values=tokenizer_output["pixel_values"],
# grid_hws=tokenizer_output["image_grid_hws"],
# )
# )
cls.visual = lambda tokenizer_output: cls.mm_projector(
cls.vision_tower(
pixel_values=tokenizer_output["pixel_values"],
grid_hws=tokenizer_output["image_grid_hws"],
)
)
# def _pixel_values_image_data(self, processor_output):
# return dict(
# modality="IMAGE",
# pixel_values=processor_output["pixel_values"],
# image_grid_hws=processor_output["image_grid_hws"],
# )
def _pixel_values_image_data(self, processor_output):
return dict(
modality="IMAGE",
pixel_values=processor_output["pixel_values"],
image_grid_hws=processor_output["image_grid_hws"],
)
# not for CI: too large