34 lines
1.0 KiB
Python
34 lines
1.0 KiB
Python
import os
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import torch
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from khaosz.config.param_config import ModelParameter
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from khaosz.inference.core import disable_random_init
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from khaosz.inference.generator import BatchGenerator, GenerationRequest
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PROJECT_ROOT = os.path.dirname(
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os.path.dirname(os.path.abspath(__file__)))
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def batch_generate():
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with disable_random_init():
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model_dir = os.path.join(PROJECT_ROOT, "params")
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param = ModelParameter.load(model_dir)
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param.to(device='cuda', dtype=torch.bfloat16)
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generator = BatchGenerator(param)
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inputs = ["你好", "请问什么是人工智能", "今天天气如何", "我感到焦虑， 请问我应该怎么办", "请问什么是显卡"]
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request = GenerationRequest(
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query=inputs,
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temperature=0.8,
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top_p=0.95,
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top_k=50,
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max_len=param.config.max_len,
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history=None,
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system_prompt=None,
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)
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responses = generator.generate(request)
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for q, r in zip(inputs, responses):
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print((q, r))
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if __name__ == "__main__":
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batch_generate() |