class_docstr: This class contains test cases for serval input types
docstr: Build a simple model for test
  Returns:
      DNN, [ (input layer name, input placeholder, input data) ], Target data
code: def build_simple_model(self):
      """Build a simple model for test
      Returns:
          DNN, [ (input layer name, input placeholder, input data) ], Target data
      """
      inputPlaceholder1, inputPlaceholder2 = tf.placeholder(
          tf.float32, (1, 1), name="input1"
      ), tf.placeholder(tf.float32, (1, 1), name="input2")
      input1 = tflearn.input_data(placeholder=inputPlaceholder1)
      input2 = tflearn.input_data(placeholder=inputPlaceholder2)
      network = tflearn.merge([input1, input2], "sum")
      network = tflearn.reshape(network, (1, 1))
      network = tflearn.fully_connected(network, 1)
      network = tflearn.regression(network)
      return (
          tflearn.DNN(network),
          [
              ("input1:0", inputPlaceholder1, self.INPUT_DATA_1),
              ("input2:0", inputPlaceholder2, self.INPUT_DATA_2),
          ],
          self.TARGET,
      )
  
file_path: tflearn/tests/test_inputs.py
imports: import tensorflow.compat.v1
  import tflearn
  import unittest
label_desc: Use image node_id 4 for calling the TestInputs obj's underlying member method code with example usage: obj.build_simple_model() and returns: tflearn,  list,  self