code: def __init__(self, *args, overwrite=True, singleton=None, **kwargs):
      # TensorSpec required for SavedModel (presumably for spec tracing)
      super().__init__(
          *args,
          value_type=(
              tf.IndexedSlices,
              tf.IndexedSlicesSpec,
              tf.Tensor,
              tf.TensorSpec,
              tf.Variable,
          ),
          overwrite=overwrite,
          singleton=singleton,
          **kwargs,
      )
  
imports: from collections import OrderedDict
  import numpy
  import tensorflow
  from tensorflow.python.training.tracking.tracking import AutoTrackable
  from tensorflow.python.training.tracking.data_structures import sticky_attribute_assignment
  from tensorforce.core.utils import NestedDict
label_desc: Use image node_id 1 to create a new TensorDict object from inherited base classes: NestedDict with example: obj = TensorDict()