bring back kimi vl ci (#8537)
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@@ -172,29 +172,28 @@ class TestGemma3nServer(TestOpenAIVisionServer):
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cls.base_url += "/v1"
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cls.base_url += "/v1"
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# commented out before https://huggingface.co/moonshotai/Kimi-VL-A3B-Instruct/discussions/27 get fixed
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class TestKimiVLServer(TestOpenAIVisionServer):
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# class TestKimiVLServer(TestOpenAIVisionServer):
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@classmethod
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# @classmethod
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def setUpClass(cls):
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# def setUpClass(cls):
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cls.model = "moonshotai/Kimi-VL-A3B-Instruct"
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# cls.model = "moonshotai/Kimi-VL-A3B-Instruct"
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cls.base_url = DEFAULT_URL_FOR_TEST
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# cls.base_url = DEFAULT_URL_FOR_TEST
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cls.api_key = "sk-123456"
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# cls.api_key = "sk-123456"
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cls.process = popen_launch_server(
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# cls.process = popen_launch_server(
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cls.model,
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# cls.model,
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cls.base_url,
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# cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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# timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=[
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# other_args=[
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"--trust-remote-code",
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# "--trust-remote-code",
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"--context-length",
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# "--context-length",
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"4096",
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# "4096",
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"--dtype",
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# "--dtype",
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"bfloat16",
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# "bfloat16",
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],
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# ],
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)
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# )
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cls.base_url += "/v1"
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# cls.base_url += "/v1"
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# def test_video_images_chat_completion(self):
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def test_video_images_chat_completion(self):
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# pass
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pass
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class TestPhi4MMServer(TestOpenAIVisionServer):
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class TestPhi4MMServer(TestOpenAIVisionServer):
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@@ -189,32 +189,31 @@ class TestGemmaUnderstandsImage(VLMInputTestBase, unittest.IsolatedAsyncioTestCa
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)
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)
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# commented out before https://huggingface.co/moonshotai/Kimi-VL-A3B-Instruct/discussions/27 get fixed
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class TestKimiVLImageUnderstandsImage(
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# class TestKimiVLImageUnderstandsImage(
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VLMInputTestBase, unittest.IsolatedAsyncioTestCase
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# VLMInputTestBase, unittest.IsolatedAsyncioTestCase
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):
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# ):
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model_path = "moonshotai/Kimi-VL-A3B-Instruct"
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# model_path = "moonshotai/Kimi-VL-A3B-Instruct"
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chat_template = "kimi-vl"
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# chat_template = "kimi-vl"
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# @classmethod
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@classmethod
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# def _init_visual(cls):
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def _init_visual(cls):
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# model = AutoModel.from_pretrained(cls.model_path, trust_remote_code=True)
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model = AutoModel.from_pretrained(cls.model_path, trust_remote_code=True)
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# cls.vision_tower = model.vision_tower.eval().to(cls.device)
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cls.vision_tower = model.vision_tower.eval().to(cls.device)
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# cls.mm_projector = model.multi_modal_projector.eval().to(cls.device)
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cls.mm_projector = model.multi_modal_projector.eval().to(cls.device)
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# cls.visual = lambda tokenizer_output: cls.mm_projector(
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cls.visual = lambda tokenizer_output: cls.mm_projector(
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# cls.vision_tower(
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cls.vision_tower(
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# pixel_values=tokenizer_output["pixel_values"],
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pixel_values=tokenizer_output["pixel_values"],
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# grid_hws=tokenizer_output["image_grid_hws"],
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grid_hws=tokenizer_output["image_grid_hws"],
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# )
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)
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# )
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)
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# def _pixel_values_image_data(self, processor_output):
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def _pixel_values_image_data(self, processor_output):
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# return dict(
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return dict(
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# modality="IMAGE",
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modality="IMAGE",
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# pixel_values=processor_output["pixel_values"],
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pixel_values=processor_output["pixel_values"],
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# image_grid_hws=processor_output["image_grid_hws"],
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image_grid_hws=processor_output["image_grid_hws"],
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# )
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)
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# not for CI: too large
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# not for CI: too large
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