class_docstr: Benchmarks for `tf.data.experimental.parallel_interleave()`.
class_docstr_tok: ["Benchmarks","for","`","tf.data.experimental.parallel_interleave","(",")","`","."]
code: def benchmark_remote_file_simulation(self):
      for i, version in enumerate(
          [EXPERIMENTAL_PARALLEL, CORE_PARALLEL]
      ):
          self._benchmark(
              interleave_version=version,
              initial_delay_us=100 * 1000,
              remainder_delay_us=1000,
              num_elements=5000,
              name="remote_file_simulation_" + version,
              benchmark_id=i,
              benchmark_label="remote_file",
          )
  
file_path: tensorflow/tensorflow/python/data/benchmarks/interleave_benchmark.py
imports: from tensorflow.python.data.benchmarks import benchmark_base
  from tensorflow.python.data.experimental.ops import interleave_ops
  from tensorflow.python.data.experimental.ops import testing
  from tensorflow.python.data.ops import dataset_ops
label_desc: Use image node_id 4 for calling the ParallelInterleaveBenchmark obj's underlying member method code with example usage: obj.benchmark_remote_file_simulation() without return types