code: def testLSTMLayerErrors(self):
      num_inputs = 1
      num_nodes = 1
      seq_length = 3
  
      weights = array_ops.zeros(
          lstm.LSTMCellWeightsShape(num_inputs, num_nodes)
      )
      m = constant_op.constant([[0.0]] * self._batch_size)
      c = constant_op.constant([[0.0]] * self._batch_size)
      x_seq = [constant_op.constant(self._inputs)] * seq_length
      pad = constant_op.constant([[0.0]] * self._batch_size)
  
      with self.assertRaisesWithPredicateMatch(
          ValueError, "length of x_seq"
      ):
          lstm.LSTMLayer("lstm", weights, m, c, x_seq, [pad])
      with self.assertRaisesWithPredicateMatch(
          ValueError, "length of x_seq"
      ):
          lstm.LSTMLayer("lstm", weights, m, c, x_seq, [pad] * 2)
      with self.assertRaisesWithPredicateMatch(
          ValueError, "length of x_seq"
      ):
          lstm.LSTMLayer("lstm", weights, m, c, x_seq, [pad] * 4)
  
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 6 for calling the LSTMTest obj's underlying member method code with example usage: obj.testLSTMLayerErrors() without return types