class_docstr: Mcro-benchmarks for a single layer of LSTM cells.
class_docstr_tok: ["Mcro-benchmarks","for","a","single","layer","of","LSTM","cells","."]
code: def benchmarkLayerInferenceXLA(self):
      xla_test.Benchmark(
          self, lambda: self._LayerBuilder(False), True, FLAGS.device
      )
  
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 3 for calling the LSTMBenchmark obj's underlying member method code with example usage: obj.benchmarkLayerInferenceXLA() without return types