code: def __init__(self, tf_model: tf.Module, device: Device, **kwargs):
      super(TensorflowBackendInferenceLearner, self).__init__(**kwargs)
      self.model = tf_model
      self.device = device
      self._is_gpu_ready = self.device.type is DeviceType.GPU
  
imports: import pickle
  from pathlib import Path
  from typing import Tuple, Union, Dict, Type
  from nebullvm.config import TENSORFLOW_BACKEND_FILENAMES
  from nebullvm.core.models import DeviceType, Device, ModelParams
  from nebullvm.operations.inference_learners.base import TensorflowBaseInferenceLearner, LearnerMetadata
  from nebullvm.optional_modules.tensorflow import tensorflow
label_desc: Use image node_id 1 to create a new TensorflowBackendInferenceLearner object from inherited base classes: TensorflowBaseInferenceLearner with example: obj = TensorflowBackendInferenceLearner(tf_model, device)