class_docstr: Create a laplace distribution object.
  
  Parameters
  ----------
  loc : Tensor or scalar, default 0
      mean of the distribution.
  scale : Tensor or scalar, default 1
      scale of the distribution
class_docstr_tok: ["Create","a","laplace","distribution","object",".","Parameters","--","--","--","--","--","loc",":","Tensor","or","scalar",",","default","0","mean","of","the","distribution",".","scale",":","Tensor","or","scalar",",","default","1","scale","of","the","distribution"]
code: def cdf(self, value):
      if self._validate_args:
          self._validate_samples(value)
      value = value - self.loc
      return 0.5 - 0.5 * np.sign(value) * np.expm1(
          -np.abs(value) / self.scale
      )
  
file_path: mxnet/python/mxnet/gluon/probability/distributions/laplace.py
imports: from .constraint import Real, Positive
  from .distribution import Distribution
  from .utils import sample_n_shape_converter
  from ....None import np
label_desc: Use image node_id 6 for calling the Laplace obj's underlying member method code with example usage: obj.cdf(value) and returns: unknown