code: def predict(self, x, mc=False):
      input_x = self._reshape_input_x(x)
      return self.model.predict(input_x)
  
imports: import pickle
  import numpy
  import time
  from tensorflow.keras.models import Model
  from tensorflow.keras.layers import *
  from tensorflow.keras.initializers import TruncatedNormal, Constant
  import tensorflow.keras.backend
  import tensorflow
  from bigdl.orca.automl.metrics import Evaluator
  from bigdl.orca.automl.model.abstract import BaseModel
label_desc: Use image node_id 12 for calling the MTNetKeras obj's underlying member method code with example usage: obj.predict(x, mc) and returns: self