class_docstr: An analog of Keras Sequential model for test/support models.
class_docstr_tok: ["An","analog","of","Keras","Sequential","model","for","test\/support","models","."]
docstr: Adds a layer to support.
code: def add_support(self, layer):
      """Adds a layer to support."""
      with self.graph.as_default():
          self.layers.append(layer)
  
          # Update new value of x
          if type(layer).__name__ in [
              "GraphConv",
              "GraphPool",
              "GraphGather",
          ]:
              self.support = layer(
                  [self.support] + self.support_graph_topology.topology
              )
          else:
              self.support = layer(self.support)
  
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 4 for calling the SequentialSupportGraph obj's underlying member method code with example usage: obj.add_support(layer) without return types