def arctan(x):
    """Trigonometric inverse tangent, element-wise.

    Args:
        x: Input tensor.

    Returns:
        Tensor of the inverse tangent of each element in `x`, in the interval
        `[-pi/2, pi/2]`.

    Example:
    >>> x = keras.ops.convert_to_tensor([0, 1])
    >>> keras.ops.arctan(x)
    array([0., 0.7853982], dtype=float32)
    """
    if any_symbolic_tensors((x,)):
        return Arctan().symbolic_call(x)
    return backend.numpy.arctan(x)
Trigonometric inverse tangent, element-wise.

    Args:
        x: Input tensor.

    Returns:
        Tensor of the inverse tangent of each element in `x`, in the interval
        `[-pi/2, pi/2]`.

    Example:
    >>> x = keras.ops.convert_to_tensor([0, 1])
    >>> keras.ops.arctan(x)
    array([0., 0.7853982], dtype=float32)
    
keras/src/ops/numpy.py