class_docstr: Test Container usage.
docstr: Tests that a representative architecture can be created.
docstr_tok: ["Tests","that","a","representative","architecture","can","be","created","."]
code: def test_sample_sequential_architecture(self):
      """Tests that a representative architecture can be created."""
      n_atoms = 5
      n_feat = 10
      batch_size = 3
      graph_model = SequentialGraph(n_feat)
  
      graph_model.add(dc.nn.GraphConv(64, n_feat, activation="relu"))
      graph_model.add(dc.nn.BatchNormalization(epsilon=1e-5, mode=1))
      graph_model.add(dc.nn.GraphPool())
  
      ## Gather Projection
      # graph_model.add(dc.nn.Dense(128, activation='relu'))
      graph_model.add(dc.nn.BatchNormalization(epsilon=1e-5, mode=1))
      graph_model.add(dc.nn.GraphGather(batch_size, activation="tanh"))
  
      # There should be 8 layers in graph_model
      # assert len(graph_model.layers) == 6
      assert len(graph_model.layers) == 5
  
file_path: deepchem/contrib/one_shot_models/tests/test_graph_models.py
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import unicode_literals
  import unittest
  import tensorflow
  import deepchem
  from tensorflow.python.framework import test_util
  from deepchem.models.tf_new_models.graph_models import SequentialGraph
  from deepchem.models.tf_new_models.graph_models import SequentialSupportGraph
label_desc: Use image node_id 3 for calling the TestGraphModels obj's underlying member method code with example usage: obj.test_sample_sequential_architecture() without return types