def get_gelu_pattern1():
        """
        ``y = x * (0.5 * (tanh(((.0447)x^3 + x ) * sqrt(2/pi)) + 1))``

        .. code-block::

			[...] -----> pow (3) ----> mul (.044715) ---> add -----> mul (sqrt(2/pi)) ---> tanh ----> add (1) ----> mul (0.5) -----> mul ---> [...]
			  |                                            ^                                                                          ^
			  |                                            |                                                                          |
			  |------------------------------------------------------------------------------------------------------------------------

        """

        @mb.program(
            input_specs=[
                mb.TensorSpec(shape=([get_new_symbol(), get_new_symbol(), get_new_symbol()])),
            ]
        )
        def gelu_to_detect_1(x):
            # MIL operation takes named inputs (instead of positional inputs).
            # Here `name` argument is MANDATORY.
            pow = mb.pow(x=x, y=3.0, name="pow")
            mul_1 = mb.mul(x=0.044714998453855515, y=pow, name="mul_1")
            add = mb.add(x=x, y=mul_1, name="add")
            mul_2 = mb.mul(x=0.7978845834732056, y=add, name="mul_2")
            tanh = mb.tanh(x=mul_2, name="tanh")
            add_1 = mb.add(x=1.0, y=tanh, name="add_1")
            mul = mb.mul(x=0.5, y=add_1, name="mul")
            mul_3 = mb.mul(x=mul, y=x, name="mul_3")
            return mul_3

        return gelu_to_detect_1

        ``y = x * (0.5 * (tanh(((.0447)x^3 + x ) * sqrt(2/pi)) + 1))``

        .. code-block::

			[...] -----> pow (3) ----> mul (.044715) ---> add -----> mul (sqrt(2/pi)) ---> tanh ----> add (1) ----> mul (0.5) -----> mul ---> [...]
			  |                                            ^                                                                          ^
			  |                                            |                                                                          |
			  |------------------------------------------------------------------------------------------------------------------------

        
coremltools/converters/mil/mil/passes/defs/optimize_activation.py