class_docstr: TFT benchmark base class.
class_docstr_tok: ["TFT","benchmark","base","class","."]
docstr: Benchmark RunMetaGraphDoFn "manually" for TFT's TF2 implementation.
  
  Runs RunMetaGraphDoFn "manually" outside of a Beam pipeline. Records the
  wall time taken.
docstr_tok: ["Benchmark","RunMetaGraphDoFn","``","manually","''","for","TFT","'s","TF2","implementation",".","Runs","RunMetaGraphDoFn","``","manually","''","outside","of","a","Beam","pipeline",".","Records","the","wall","time","taken","."]
code: def benchmarkTF2RunMetaGraphDoFnManualActuation(self):
      """Benchmark RunMetaGraphDoFn "manually" for TFT's TF2 implementation.
  
      Runs RunMetaGraphDoFn "manually" outside of a Beam pipeline. Records the
      wall time taken.
      """
      self._benchmarkRunMetaGraphDoFnManualActuationCommon(
          force_tf_compat_v1=False
      )
  
imports: import collections
  import shutil
  import tempfile
  import time
  from absl import logging
  import apache_beam
  from apache_beam.utils import shared
  import tensorflow
  import tensorflow_transform
  from tensorflow_transform import graph_tools
  from tensorflow_transform import impl_helper
  import tensorflow_transform.beam
  from tensorflow_transform.beam import impl
  from tensorflow_transform.saved import saved_transform_io
  from tensorflow_transform.saved import saved_transform_io_v2
  from tensorflow_transform.tf_metadata import dataset_metadata
  from tensorflow_transform.tf_metadata import schema_utils
  import tfx
  from tfx.benchmarks import benchmark_utils
  from tfx.benchmarks import benchmark_base
  from tfx_bsl.coders import example_coder
  from tfx_bsl.tfxio import tensor_adapter
  from tfx_bsl.tfxio import tf_example_record
label_desc: Use image node_id 8 for calling the TFTBenchmarkBase obj's underlying member method code with example usage: obj.benchmarkTF2RunMetaGraphDoFnManualActuation() without return types