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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def forward(self, **kwargs):
 """Perform forward to get the output. Parameters **kwargs Keyword arguments of input variable name to data. Examples -------- """

        for k, v in kwargs.items():
            if not isinstance(v, np.ndarray):
                raise ValueError("Expect numpy ndarray as input")
            v = np.asarray(v, dtype=np.float32, order='C')
            _check_call(_LIB.MXPredSetInput(
                self.handle, c_str(k),
                v.ctypes.data_as(mx_float_p),
                mx_uint(v.size)))
        _check_call(_LIB.MXPredForward(self.handle))