class_docstr: Compute `Y = g(X) = NormalCDF(x)`.
  
  This bijector maps inputs from `[-inf, inf]` to `[0, 1]`. The inverse of the
  bijector applied to a uniform random variable `X ~ U(0, 1)` gives back a
  random variable with the
  [Normal distribution](https://en.wikipedia.org/wiki/Normal_distribution):
  
  ```none
  Y ~ Normal(0, 1)
  pdf(y; 0., 1.) = 1 / sqrt(2 * pi) * exp(-y ** 2 / 2)
  ```
docstr: Instantiates the `NormalCDF` bijector.
  
  Args:
    validate_args: Python `bool` indicating whether arguments should be
      checked for correctness.
    name: Python `str` name given to ops managed by this object.
docstr_tok: ["Instantiates","the","`","NormalCDF","`","bijector",".","Args",":","validate_args",":","Python","`","bool","`","indicating","whether","arguments","should","be","checked","for","correctness",".","name",":","Python","`","str","`","name","given","to","ops","managed","by","this","object","."]
code: def __init__(self, validate_args=False, name="normal"):
      """Instantiates the `NormalCDF` bijector.
  
      Args:
        validate_args: Python `bool` indicating whether arguments should be
          checked for correctness.
        name: Python `str` name given to ops managed by this object.
      """
      parameters = dict(locals())
      with tf.name_scope(name) as name:
          super(NormalCDF, self).__init__(
              validate_args=validate_args,
              forward_min_event_ndims=0,
              parameters=parameters,
              name=name,
          )
  
file_path: probability/tensorflow_probability/python/bijectors/normal_cdf.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import special_math
label_desc: Use image node_id 1 to create a new NormalCDF object from inherited base classes: bijector, bijector with example: obj = NormalCDF(validate_args, name)