class_docstr: Main model class.
class_docstr_tok: ["Main","model","class","."]
code: def __init__(self, lmbda, num_filters):
      super().__init__()
      self.lmbda = lmbda
      self.analysis_transform = AnalysisTransform(num_filters)
      self.synthesis_transform = SynthesisTransform(num_filters)
      self.prior = tfc.NoisyDeepFactorized(batch_shape=(num_filters,))
      self.build((None, None, None, 3))
  
imports: import argparse
  import glob
  import sys
  from absl import app
  from absl.flags import argparse_flags
  import tensorflow
  import tensorflow_compression
  import tensorflow_datasets
label_desc: Use image node_id 1 to create a new BLS2017Model object from inherited base classes: tf.keras with example: obj = BLS2017Model(lmbda, num_filters)