class_docstr: Gin-configurable wrapper to generate synthetic examples.
class_docstr_tok: ["Gin-configurable","wrapper","to","generate","synthetic","examples","."]
code: def __init__(self, gin_str, **kwargs):
      super().__init__(**kwargs)
      self._gin_str = gin_str
  
file_path: ddsp/ddsp/training/data_preparation/ddsp_generate_synthetic_dataset.py
imports: from absl import app
  from absl import flags
  import apache_beam
  from ddsp.training.data_preparation import synthetic_data
  import gin
  import numpy
  import pkg_resources
  import tensorflow.compat.v2
label_desc: Use image node_id 1 to create a new GenerateExampleFn object from inherited base classes: beam with example: obj = GenerateExampleFn(gin_str)