class_docstr: Default network for the glow exit bijector.
  
  This is just a single convolutional layer.
class_docstr_tok: ["Default","network","for","the","glow","exit","bijector",".","This","is","just","a","single","convolutional","layer","."]
docstr: Default network for glow bijector.
code: def __init__(self, input_shape, output_chan, kernel_shape=3):
      """Default network for glow bijector."""
      # Default is scale and shift, so 2c outputs.
      this_nchan = output_chan * 2
      conv = functools.partial(
          tfkl.Conv2D,
          padding="same",
          kernel_initializer=tf_keras.initializers.zeros(),
          bias_initializer=tf_keras.initializers.zeros(),
      )
  
      super(GlowDefaultExitNetwork, self).__init__(
          [tfkl.Input(input_shape), conv(this_nchan, kernel_shape)]
      )
  
imports: import functools
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.bijectors import blockwise
  from tensorflow_probability.python.bijectors import chain
  from tensorflow_probability.python.bijectors import composition
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.bijectors import real_nvp
  from tensorflow_probability.python.bijectors import reshape
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import scale_matvec_lu
  from tensorflow_probability.python.bijectors import shift
  from tensorflow_probability.python.bijectors import transpose
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import tf_keras
  from tensorflow_probability.python.util.deferred_tensor import TransformedVariable
  from tensorflow_probability.python.util.seed_stream import SeedStream
label_desc: Use image node_id 1 to create a new GlowDefaultExitNetwork object from inherited base classes: tfk with example: obj = GlowDefaultExitNetwork(input_shape, output_chan, kernel_shape)