parameters: (self, x, name="log_cdf")
docstring: Log CDF of observations `x` under the Laplace distribution(s).
  
      Args:
        x: tensor of dtype `dtype`, must be broadcastable with `loc` and `scale`.
        name: The name to give this op.
  
      Returns:
        log_cdf: tensor of dtype `dtype`, the log-CDFs of `x`.
docstring_summary: Log CDF of observations `x` under the Laplace distribution(s).
docstring_tokens: Log CDF of observations x under the Laplace distribution ( s ) .
function: def log_cdf(self, x, name="log_cdf"):
      """Log CDF of observations `x` under the Laplace distribution(s).
  
      Args:
        x: tensor of dtype `dtype`, must be broadcastable with `loc` and `scale`.
        name: The name to give this op.
  
      Returns:
        log_cdf: tensor of dtype `dtype`, the log-CDFs of `x`.
      """
      with ops.name_scope(self.name):
        with ops.op_scope([self._loc, self._scale, x], name):
          return math_ops.log(self.cdf(x))
function_tokens: def log_cdf ( self , x , name = "log_cdf" ) : with ops . name_scope ( self . name ) : with ops . op_scope ( [ self . _loc , self . _scale , x ] , name ) : return math_ops . log ( self . cdf ( x ) )