parameters: (left, right, name='')
return_statement: return cntk_py_log_add_exp(left, right, name)
docstring: Calculates the log of the sum of the exponentials
      of the two or more input tensors. It supports broadcasting.
  
      Example:
          >>> a = np.arange(3,dtype=np.float32)
          >>> np.exp(C.log_add_exp(np.log(1+a), np.log(1+a*a)).eval())
          array([ 2.,  4.,  8.], dtype=float32)
          >>> np.exp(C.log_add_exp(np.log(1+a), [0.]).eval())
          array([ 2.,  3.,  4.], dtype=float32)
  
      Args:
          arg1: left side tensor
          arg2: right side tensor
          *more_args: additional inputs
          name (str, optional): the name of the Function instance in the network
      Returns:
          :class:`~cntk.ops.functions.Function`
docstring_summary: Calculates the log of the sum of the exponentials
      of the two or more input tensors. It supports broadcasting.
docstring_tokens: Calculates the log of the sum of the exponentials of the two or more input tensors . It supports broadcasting .
function: def log_add_exp(left, right, name=''):
      '''
      Calculates the log of the sum of the exponentials
      of the two or more input tensors. It supports broadcasting.
  
      Example:
          >>> a = np.arange(3,dtype=np.float32)
          >>> np.exp(C.log_add_exp(np.log(1+a), np.log(1+a*a)).eval())
          array([ 2.,  4.,  8.], dtype=float32)
          >>> np.exp(C.log_add_exp(np.log(1+a), [0.]).eval())
          array([ 2.,  3.,  4.], dtype=float32)
  
      Args:
          arg1: left side tensor
          arg2: right side tensor
          *more_args: additional inputs
          name (str, optional): the name of the Function instance in the network
      Returns:
          :class:`~cntk.ops.functions.Function`
      '''
      from cntk.cntk_py import log_add_exp as cntk_py_log_add_exp
      dtype = get_data_type(left, right)
      left = sanitize_input(left, dtype)
      right = sanitize_input(right, dtype)
      return cntk_py_log_add_exp(left, right, name)
function_tokens: def log_add_exp ( left , right , name = '' ) : from cntk . cntk_py import log_add_exp as cntk_py_log_add_exp dtype = get_data_type ( left , right ) left = sanitize_input ( left , dtype ) right = sanitize_input ( right , dtype ) return cntk_py_log_add_exp ( left , right , name )