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Running
on
Zero
Running
on
Zero
File size: 1,132 Bytes
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import copy
import torch
from .predictor import get_predictor
class BaseModel:
"""
模型预测的基类
"""
def __init__(self, **kwargs):
self.kwargs = copy.deepcopy(kwargs)
self.predictor = get_predictor(**self.kwargs)
self.device = torch.cuda.current_device()
self.cudaStream = torch.cuda.current_stream().cuda_stream
self.predict_type = kwargs.get("predict_type", "trt")
if self.predictor is not None:
self.input_shapes = self.predictor.input_spec()
self.output_shapes = self.predictor.output_spec()
def input_process(self, *data):
"""
输入预处理
:return:
"""
pass
def output_process(self, *data):
"""
输出后处理
:return:
"""
pass
def predict(self, *data):
"""
预测
:return:
"""
pass
def __del__(self):
"""
删除实例
:return:
"""
if self.predictor is not None:
del self.predictor
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