43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
import torch
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from pathlib import Path
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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 GeneratorFactory, GenerationRequest
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PROJECT_ROOT = Path(__file__).parent.parent
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PARAMETER_ROOT = Path(PROJECT_ROOT, "params")
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def batch_generate():
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with disable_random_init():
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param = ModelParameter.load(PARAMETER_ROOT)
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param.to(device="cuda", dtype=torch.bfloat16)
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inputs = [
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"你好",
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"请问什么是人工智能",
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"今天天气如何",
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"我感到焦虑， 请问我应该怎么办",
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"请问什么是显卡",
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]
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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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generator = GeneratorFactory.create(param, request)
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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()
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