old_contents: """
  Gathers all models in one place for convenient imports
  """
  # flake8: noqa
  try:
    from deepchem.models.models import Model
    from deepchem.models.keras_model import KerasModel
    from deepchem.models.multitask import SingletaskToMultitask
    from deepchem.models.callbacks import ValidationCallback
  
    from deepchem.models.IRV import MultitaskIRVClassifier
    from deepchem.models.robust_multitask import RobustMultitaskClassifier
    from deepchem.models.robust_multitask import RobustMultitaskRegressor
    from deepchem.models.progressive_multitask import ProgressiveMultitaskRegressor, ProgressiveMultitaskClassifier
    from deepchem.models.graph_models import WeaveModel, DTNNModel, DAGModel, GraphConvModel, MPNNModel
    from deepchem.models.scscore import ScScoreModel
  
    from deepchem.models.seqtoseq import SeqToSeq
    from deepchem.models.gan import GAN, WGAN
    from deepchem.models.molgan import BasicMolGANModel
    from deepchem.models.cnn import CNN
    from deepchem.models.text_cnn import TextCNNModel
    from deepchem.models.atomic_conv import AtomicConvModel
    from deepchem.models.chemnet_models import Smiles2Vec, ChemCeption
  except ModuleNotFoundError:
    pass
  
  # scikit-learn model
  from deepchem.models.sklearn_models import SklearnModel
  from deepchem.models.gbdt_models import GBDTModel
  
  # PyTorch models
  try:
    from deepchem.models.torch_models import TorchModel
    from deepchem.models.torch_models import AttentiveFP, AttentiveFPModel
    from deepchem.models.torch_models import CGCNN, CGCNNModel
    from deepchem.models.torch_models import GAT, GATModel
    from deepchem.models.torch_models import GCN, GCNModel
    from deepchem.models.torch_models import LCNN, LCNNModel
    from deepchem.models.torch_models import Pagtn, PagtnModel
    from deepchem.models.fcnet import MultitaskRegressor, MultitaskClassifier, MultitaskFitTransformRegressor
  except ModuleNotFoundError:
    pass
  
  #####################################################################################
  # Compatibility imports for renamed XGBoost models. Remove below with DeepChem 3.0.
  #####################################################################################
  
  from deepchem.models.gbdt_models.gbdt_model import XGBoostModel
  
  ########################################################################################
  # Compatibility imports for renamed TensorGraph models. Remove below with DeepChem 3.0.
  ########################################################################################
  try:
    from deepchem.models.text_cnn import TextCNNTensorGraph
    from deepchem.models.graph_models import WeaveTensorGraph, DTNNTensorGraph, DAGTensorGraph, GraphConvTensorGraph, MPNNTensorGraph
    from deepchem.models.IRV import TensorflowMultitaskIRVClassifier
  except ModuleNotFoundError:
    pass
  
new_contents: """
  Gathers all models in one place for convenient imports
  """
  # flake8: noqa
  from deepchem.models.models import Model
  try:
    from deepchem.models.keras_model import KerasModel
    from deepchem.models.multitask import SingletaskToMultitask
    from deepchem.models.callbacks import ValidationCallback
  
    from deepchem.models.IRV import MultitaskIRVClassifier
    from deepchem.models.robust_multitask import RobustMultitaskClassifier
    from deepchem.models.robust_multitask import RobustMultitaskRegressor
    from deepchem.models.progressive_multitask import ProgressiveMultitaskRegressor, ProgressiveMultitaskClassifier
    from deepchem.models.graph_models import WeaveModel, DTNNModel, DAGModel, GraphConvModel, MPNNModel
    from deepchem.models.scscore import ScScoreModel
  
    from deepchem.models.seqtoseq import SeqToSeq
    from deepchem.models.gan import GAN, WGAN
    from deepchem.models.molgan import BasicMolGANModel
    from deepchem.models.cnn import CNN
    from deepchem.models.text_cnn import TextCNNModel
    from deepchem.models.atomic_conv import AtomicConvModel
    from deepchem.models.chemnet_models import Smiles2Vec, ChemCeption
  except ModuleNotFoundError:
    pass
  
  # scikit-learn model
  from deepchem.models.sklearn_models import SklearnModel
  from deepchem.models.gbdt_models import GBDTModel
  
  # PyTorch models
  try:
    from deepchem.models.torch_models import TorchModel
    from deepchem.models.torch_models import AttentiveFP, AttentiveFPModel
    from deepchem.models.torch_models import CGCNN, CGCNNModel
    from deepchem.models.torch_models import GAT, GATModel
    from deepchem.models.torch_models import GCN, GCNModel
    from deepchem.models.torch_models import LCNN, LCNNModel
    from deepchem.models.torch_models import Pagtn, PagtnModel
    from deepchem.models.fcnet import MultitaskRegressor, MultitaskClassifier, MultitaskFitTransformRegressor
  except ModuleNotFoundError:
    pass
  
  #####################################################################################
  # Compatibility imports for renamed XGBoost models. Remove below with DeepChem 3.0.
  #####################################################################################
  
  from deepchem.models.gbdt_models.gbdt_model import XGBoostModel
  
  ########################################################################################
  # Compatibility imports for renamed TensorGraph models. Remove below with DeepChem 3.0.
  ########################################################################################
  try:
    from deepchem.models.text_cnn import TextCNNTensorGraph
    from deepchem.models.graph_models import WeaveTensorGraph, DTNNTensorGraph, DAGTensorGraph, GraphConvTensorGraph, MPNNTensorGraph
    from deepchem.models.IRV import TensorflowMultitaskIRVClassifier
  except ModuleNotFoundError:
    pass
  
subject: fix model import