class_docstr: An analog of Keras Sequential class for Coulomb Matrix data.
  
  automatically generates and passes topology placeholders to each layer. 
class_docstr_tok: ["An","analog","of","Keras","Sequential","class","for","Coulomb","Matrix","data",".","automatically","generates","and","passes","topology","placeholders","to","each","layer","."]
docstr: Parameters
  ----------
  n_distance: int, optional
    granularity of distance matrix
    step size will be (distance_max-distance_min)/n_distance
  distance_min: float, optional
    minimum distance of atom pairs, default = -1 Angstorm
  distance_max: float, optional
    maximum distance of atom pairs, default = 18 Angstorm
code: def __init__(
      self, n_distance=100, distance_min=-1.0, distance_max=18.0
  ):
      """
      Parameters
      ----------
      n_distance: int, optional
        granularity of distance matrix
        step size will be (distance_max-distance_min)/n_distance
      distance_min: float, optional
        minimum distance of atom pairs, default = -1 Angstorm
      distance_max: float, optional
        maximum distance of atom pairs, default = 18 Angstorm
      """
      warnings.warn(
          "SequentialDTNNGraph is deprecated. "
          "Will be removed in DeepChem 1.4.",
          DeprecationWarning,
      )
      self.graph = tf.Graph()
      with self.graph.as_default():
          self.graph_topology = DTNNGraphTopology(
              n_distance,
              distance_min=distance_min,
              distance_max=distance_max,
          )
          self.output = (
              self.graph_topology.get_atom_number_placeholder()
          )
      # Keep track of the layers
      self.layers = []
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import unicode_literals
  import warnings
  import tensorflow
  from deepchem.nn.layers import GraphGather
  from deepchem.models.tf_new_models.graph_topology import GraphTopology, DTNNGraphTopology, DAGGraphTopology, WeaveGraphTopology, AlternateWeaveGraphTopology
label_desc: Use image node_id 1 to create a new SequentialDTNNGraph object from inherited base classes: SequentialGraph with example: obj = SequentialDTNNGraph(n_distance, distance_min, distance_max)