class_docstr: TFMA benchmark base class.
class_docstr_tok: ["TFMA","benchmark","base","class","."]
code: def __init__(self, dataset, **kwargs):
      # Benchmark runners may pass extraneous arguments we don't care about.
      del kwargs
      super().__init__()
      self._dataset = dataset
  
file_path: tfx/tfx/benchmarks/tfma_benchmark_base.py
imports: import time
  import apache_beam
  import tensorflow_model_analysis
  from tensorflow_model_analysis.eval_saved_model import load
  import tfx
  from tfx.benchmarks import benchmark_utils
  from tfx.benchmarks import benchmark_base
label_desc: Use image node_id 1 to create a new TFMABenchmarkBase object from inherited base classes: benchmark_base with example: obj = TFMABenchmarkBase(dataset)