def _get_no_nan(self):
        try:
            return self._no_nan
        except __HOLE__:
            nan_mask = numpy.isnan(self[1])
            if nan_mask.any():
                self._no_nan = numpy.ma.masked_array(self[1], nan_mask)
                self.has_nan = True
            else:
                self._no_nan = self[1]
                self.has_nan = False
        return self._no_nan
dataset/ETHPy150Open rizar/attention-lvcsr/libs/Theano/theano/tensor/var.py/TensorConstantSignature._get_no_nan