class_docstr: Bijector to implement Activation Normalization (ActNorm).
class_docstr_tok: ["Bijector","to","implement","Activation","Normalization","(","ActNorm",")","."]
code: def _inverse_log_det_jacobian(self, y, **kwargs):
      with tf.control_dependencies([self._maybe_init(y, inverse=True)]):
          return self._bijector.inverse_log_det_jacobian(y, 1, **kwargs)
  
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 4 for calling the ActivationNormalization obj's underlying member method code with example usage: obj._inverse_log_det_jacobian(y) and returns: self