code: def __init__(self, *args, **kwargs):
      warnings.warn(
          TENSORGRAPH_DEPRECATION.format(
              "DTNNTensorGraph", "DTNNModel"
          ),
          FutureWarning,
      )
  
      super(DTNNModel, self).__init__(*args, **kwargs)
  
imports: from collections.abc import Sequence
  import deepchem
  import numpy
  import tensorflow
  from typing import List, Union, Tuple, Iterable, Dict, Optional
  from deepchem.utils.typing import OneOrMany, LossFn, ActivationFn
  from deepchem.data import Dataset, pad_features
  from deepchem.feat.mol_graphs import ConvMol
  from deepchem.metrics import to_one_hot
  from deepchem.models import KerasModel, layers
  from deepchem.models.losses import L2Loss, SoftmaxCrossEntropy, Loss
  from tensorflow.keras.layers import Input, Dense, Reshape, Softmax, Dropout, Activation, BatchNormalization
  import warnings
label_desc: Use image node_id 1 to create a new DTNNTensorGraph object from inherited base classes: DTNNModel with example: obj = DTNNTensorGraph()