class_docstr: Keras test
class_docstr_tok: ["Keras","test"]
docstr: test_forward_sequential
docstr_tok: ["test_forward_sequential"]
code: def test_forward_sequential(self, keras_mod):
      """test_forward_sequential"""
      keras_model = keras_mod.models.Sequential(
          [
              keras_mod.layers.Dense(
                  16, input_dim=32, activation="relu"
              ),
              keras_mod.layers.Dropout(0.5),
              keras_mod.layers.Dense(8, activation="relu"),
              keras_mod.layers.Dropout(0.5),
              keras_mod.layers.Dense(1, activation="sigmoid"),
          ]
      )
      verify_keras_frontend(keras_model)
  
imports: from packaging import version
  import numpy
  from tensorflow import keras
  import keras
  import pytest
  import tvm
  from tvm import relay
  from tvm.contrib import graph_executor
  import tvm.testing
label_desc: Use image node_id 8 for calling the TestKeras obj's underlying member method code with example usage: obj.test_forward_sequential(keras_mod) without return types