class_docstr: Compute `Y = log1p(X)`. This is `Invert(Expm1())`.
class_docstr_tok: ["Compute","`","Y","=","log1p","(","X",")","`",".","This","is","`","Invert","(","Expm1","(",")",")","`","."]
code: def __init__(self, validate_args=False, name="log1p"):
      parameters = dict(locals())
      with tf.name_scope(name) as name:
          bij = Expm1(validate_args=validate_args)
          super(Log1p, self).__init__(
              bijector=bij,
              validate_args=validate_args,
              parameters=parameters,
              name=name,
          )
  
file_path: probability/tensorflow_probability/python/bijectors/expm1.py
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.bijectors import invert
label_desc: Use image node_id 1 to create a new Log1p object from inherited base classes: bijector, invert with example: obj = Log1p(validate_args, name)