def predict(self, repeats=1):
        '''
        Args:
            repeats (int): repeat number for prediction
        Returns:
            results (dict): 
        '''
        # model prediction
        output_names = self.predictor.get_output_names()
        for i in range(repeats):
            self.predictor.run()
            output_tensor = self.predictor.get_output_handle(output_names[0])
            np_output = output_tensor.copy_to_cpu()
        result = dict(output=np_output)
        return result

        Args:
            repeats (int): repeat number for prediction
        Returns:
            results (dict): 
        
deploy/pipeline/pphuman/action_infer.py