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			| 4b9078a 9d3b01a 5102ec8 4b9078a 9d3b01a 4b9078a 9d3b01a 4b9078a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 | # """
# 对各个llm模型进行单元测试
# """
def validate_path():
    import os, sys
    dir_name = os.path.dirname(__file__)
    root_dir_assume = os.path.abspath(os.path.dirname(__file__) +  '/..')
    os.chdir(root_dir_assume)
    sys.path.append(root_dir_assume)
    
validate_path() # validate path so you can run from base directory
from request_llm.bridge_moss import predict_no_ui_long_connection
# from request_llm.bridge_jittorllms_pangualpha import predict_no_ui_long_connection
# from request_llm.bridge_jittorllms_llama import predict_no_ui_long_connection
llm_kwargs = {
    'max_length': 512,
    'top_p': 1,
    'temperature': 1,
}
result = predict_no_ui_long_connection(inputs="你好", 
                                       llm_kwargs=llm_kwargs,
                                       history=[],
                                       sys_prompt="")
print('final result:', result)
result = predict_no_ui_long_connection(inputs="what is a hero?", 
                                       llm_kwargs=llm_kwargs,
                                       history=["hello world"],
                                       sys_prompt="")
print('final result:', result)
result = predict_no_ui_long_connection(inputs="如何理解传奇?", 
                                       llm_kwargs=llm_kwargs,
                                       history=[],
                                       sys_prompt="")
print('final result:', result)
# # print(result)
# from multiprocessing import Process, Pipe
# class GetGLMHandle(Process):
#     def __init__(self):
#         super().__init__(daemon=True)
#         pass
#     def run(self):
#         # 子进程执行
#         # 第一次运行,加载参数
#         def validate_path():
#             import os, sys
#             dir_name = os.path.dirname(__file__)
#             root_dir_assume = os.path.abspath(os.path.dirname(__file__) +  '/..')
#             os.chdir(root_dir_assume + '/request_llm/jittorllms')
#             sys.path.append(root_dir_assume + '/request_llm/jittorllms')
#         validate_path() # validate path so you can run from base directory
#         jittorllms_model = None
#         import types
#         try:
#             if jittorllms_model is None:
#                 from models import get_model
#                 # availabel_models = ["chatglm", "pangualpha", "llama", "chatrwkv"]
#                 args_dict = {'model': 'chatrwkv'}
#                 print('self.jittorllms_model = get_model(types.SimpleNamespace(**args_dict))')
#                 jittorllms_model = get_model(types.SimpleNamespace(**args_dict))
#                 print('done get model')
#         except:
#             # self.child.send('[Local Message] Call jittorllms fail 不能正常加载jittorllms的参数。')
#             raise RuntimeError("不能正常加载jittorllms的参数!")
        
# x = GetGLMHandle()
# x.start()
# input() |