code: def _RunLSTMCell(
      self,
      basename,
      init_weights,
      m_prev_scalar,
      c_prev_scalar,
      pad_scalar,
  ):
      with self.session() as sess:
          num_inputs = 1
          num_nodes = 1
  
          weights = init_weights(
              lstm.LSTMCellWeightsShape(num_inputs, num_nodes)
          )
          m_prev = constant_op.constant(
              [[m_prev_scalar]] * self._batch_size
          )
          c_prev = constant_op.constant(
              [[c_prev_scalar]] * self._batch_size
          )
          x = constant_op.constant(self._inputs)
          pad = constant_op.constant([[pad_scalar]] * self._batch_size)
  
          m, c = lstm.LSTMCell(weights, m_prev, c_prev, x, pad)
          _DumpGraph(
              sess.graph,
              "lstm_cell_%s_%d_%d_%d"
              % (basename, m_prev_scalar, c_prev_scalar, pad_scalar),
          )
  
          # Initialize variables and run the unrolled LSTM step.
          self.evaluate(variables.global_variables_initializer())
          return self.evaluate([m, c])
  
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 4 for calling the LSTMTest obj's underlying member method code with example usage: obj._RunLSTMCell(basename, init_weights, m_prev_scalar, c_prev_scalar, pad_scalar) and returns: self