parameters: (x)
return_statement: return math_ops.div_no_nan(1.0, x)
docstring: Wrapper function around `math_ops.div_no_nan()` to perform a "safe" reciprocal incase the input is zero. Avoids divide by zero and NaNs.
  
    Input:
      x -> input tensor to be reciprocat-ed.
    Returns:
      x_reciprocal -> reciprocal of x without NaNs.
docstring_summary: Wrapper function around `math_ops.div_no_nan()` to perform a "safe" reciprocal incase the input is zero. Avoids divide by zero and NaNs.
docstring_tokens: Wrapper function around math_ops . div_no_nan () to perform a safe reciprocal incase the input is zero . Avoids divide by zero and NaNs .
function: def _CustomReciprocal(x):
    """Wrapper function around `math_ops.div_no_nan()` to perform a "safe" reciprocal incase the input is zero. Avoids divide by zero and NaNs.
  
    Input:
      x -> input tensor to be reciprocat-ed.
    Returns:
      x_reciprocal -> reciprocal of x without NaNs.
    """
    return math_ops.div_no_nan(1.0, x)
function_tokens: def _CustomReciprocal ( x ) : return math_ops . div_no_nan ( 1.0 , x )