wehub-resource-sync
84 lines
2.6 KiB
Python
84 lines
2.6 KiB
Python
import os
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os.environ['CUDA_VISIBLE_DEVICES'] = '0'
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os.environ['ASCEND_RT_VISIBLE_DEVICES'] = '0'
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def _infer_image(model, system=None, images=None):
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engine = LmdeployEngine(model)
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if images is None:
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images = ['http://modelscope-open.oss-cn-hangzhou.aliyuncs.com/images/cat.png']
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messages = []
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if system is not None:
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messages += [{'role': 'system', 'content': system}]
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messages.append({'role': 'user', 'content': 'describe the image.'})
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resp_list = engine.infer([InferRequest(messages=messages, images=images)],
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RequestConfig(temperature=0, max_tokens=64, repetition_penalty=1.))
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return resp_list[0].choices[0].message.content
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def _infer_image_pipeline(model, images=None, prefix='<IMAGE_TOKEN>\n'):
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from lmdeploy import GenerationConfig, pipeline
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from lmdeploy.vl import load_image
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from swift.utils import safe_snapshot_download
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gen_config = GenerationConfig(temperature=0., repetition_penalty=1., max_new_tokens=64)
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pipe = pipeline(safe_snapshot_download(model))
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image = load_image('http://modelscope-open.oss-cn-hangzhou.aliyuncs.com/images/cat.png')
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response = pipe((f'{prefix}describe the image.', image), gen_config=gen_config)
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return response.text
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def test_internvl2_5():
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model = 'OpenGVLab/InternVL2_5-4B'
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response = _infer_image(model)
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response2 = _infer_image_pipeline(model)
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assert response == response2
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def test_internvl2():
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model = 'OpenGVLab/InternVL2-2B'
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response = _infer_image(model)
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response2 = _infer_image_pipeline(model) # Missing '\n' after '<|im_end|>'
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assert response == response2
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def test_deepseek_vl():
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model = 'deepseek-ai/deepseek-vl-1.3b-chat'
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response = _infer_image(model)
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response2 = _infer_image_pipeline(model, prefix='<IMAGE_TOKEN>')
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assert response == response2
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def test_qwen_vl():
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model = 'Qwen/Qwen-VL-Chat'
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response = _infer_image_pipeline(model) # Missing: 'Picture 1: '
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response2 = _infer_image(model)
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assert response == response2
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def test_qwen2_vl():
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model = 'Qwen/Qwen2-VL-2B-Instruct'
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response = _infer_image_pipeline(model, prefix='<IMAGE_TOKEN>')
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response2 = _infer_image(model)
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assert response == response2
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def test_qwen2_5_vl():
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model = 'Qwen/Qwen2.5-VL-3B-Instruct'
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response = _infer_image(model)
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response2 = _infer_image_pipeline(model, prefix='<IMAGE_TOKEN>')
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assert response == response2
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if __name__ == '__main__':
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from swift.infer_engine import InferRequest, LmdeployEngine, RequestConfig
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# test_internvl2()
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# test_internvl2_5()
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# test_deepseek_vl()
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# test_qwen_vl()
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# test_qwen2_vl()
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test_qwen2_5_vl()
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