code: def setUp(self):
      # The tests for a single LSTM cell and LSTM layer use these values as
      # inputs.  We always set the dimensionality of num_inputs=1; thus batch_size
      # actually represents the different input cases.
      self._inputs = np.array(
          [[-1.0], [-0.5], [0.0], [0.5], [1.0]], np.float32
      )
      self._batch_size = len(self._inputs)
  
imports: import argparse
  import os
  import sys
  import numpy
  from tensorflow.compiler.tests import lstm
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the LSTMTest obj's underlying member method code with example usage: obj.setUp() without return types