forked from PaddlePaddle/ERNIE
-
Notifications
You must be signed in to change notification settings - Fork 0
/
run_infer.py
executable file
·71 lines (57 loc) · 2.21 KB
/
run_infer.py
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
# -*- coding: utf-8 -*
"""import"""
import os
import sys
sys.path.append("../../../")
import numpy as np
from erniekit.common.register import RegisterSet
from erniekit.common import register
from erniekit.data.data_set_ernie3 import DataSet
import logging
from erniekit.utils import args
from erniekit.utils import params
from erniekit.utils import log
def dataset_reader_from_params(params_dict):
"""
:param params_dict:
:return:
"""
dataset_reader = DataSet(params_dict)
dataset_reader.build()
return dataset_reader
def build_inference(params_dict, dataset_reader, parser_handler):
"""build trainer"""
inference_name = params_dict.get("type", "CustomInference")
inference_class = RegisterSet.inference.__getitem__(inference_name)
inference = inference_class(params=params_dict, data_set_reader=dataset_reader, parser_handler=parser_handler)
return inference
def model_from_params(params_dict, dataset_reader):
"""
:param params_dict:
:param dataset_reader
:return:
"""
model_name = params_dict.get("type")
model_class = RegisterSet.models.__getitem__(model_name)
model = model_class(dataset_reader.predict_reader, params_dict)
return model
if __name__ == "__main__":
args = args.build_common_arguments()
log.init_log("./log/test", level=logging.DEBUG)
# 分类任务的预测
param_dict = params.from_file(args.param_path)
_params = params.replace_none(param_dict)
# 记得import一下注册的模块
register.import_modules()
register.import_new_module("inference", "custom_inference")
register.import_new_module("data_set_reader", "ernie_gen_infilling_dataset_reader")
register.import_new_module("model", "ernie_infilling_generation")
dataset_reader_params_dict = _params.get("dataset_reader")
dataset_reader = dataset_reader_from_params(dataset_reader_params_dict)
model_params_dict = param_dict.get("model")
model = model_from_params(model_params_dict, dataset_reader)
inference_params_dict = _params.get("inference")
inference = build_inference(inference_params_dict, dataset_reader, model.parse_predict_result)
inference.inference_batch()
logging.info("os exit.")
os._exit(0)