parameters: (x, name='')
return_statement: return asinh(x, name)
docstring: Computes the element-wise asinh of ``x``:
  
      The output tensor has the same shape as ``x``.
  
      Example:
          >>> np.round(C.asinh([[1,0.5],[-0.25,-0.75]]).eval(),5)
          array([[ 0.88137,  0.48121],
                 [-0.24747, -0.69315]], dtype=float32)
  
      Args:
          x: numpy array or any :class:`~cntk.ops.functions.Function` that outputs a tensor
          name (str, optional): the name of the Function instance in the network
      Returns:
          :class:`~cntk.ops.functions.Function`
docstring_summary: Computes the element-wise asinh of ``x``:
docstring_tokens: Computes the element - wise asinh of x :
function: def asinh(x, name=''):
      '''
      Computes the element-wise asinh of ``x``:
  
      The output tensor has the same shape as ``x``.
  
      Example:
          >>> np.round(C.asinh([[1,0.5],[-0.25,-0.75]]).eval(),5)
          array([[ 0.88137,  0.48121],
                 [-0.24747, -0.69315]], dtype=float32)
  
      Args:
          x: numpy array or any :class:`~cntk.ops.functions.Function` that outputs a tensor
          name (str, optional): the name of the Function instance in the network
      Returns:
          :class:`~cntk.ops.functions.Function`
      '''
      from cntk.cntk_py import asinh
      x = sanitize_input(x)
      return asinh(x, name)
function_tokens: def asinh ( x , name = '' ) : from cntk . cntk_py import asinh x = sanitize_input ( x ) return asinh ( x , name )