common.py 文件源码

def assertNotEqual(self, x, y, prec=None, message=''):
        if prec is None:
            prec = self.precision

        x, y = self.unwrapVariables(x, y)

        if torch.is_tensor(x) and torch.is_tensor(y):
            if x.size() != y.size():
                super(TestCase, self).assertNotEqual(x.size(), y.size())
            self.assertGreater(x.numel(), 0)
            y = y.type_as(x)
            y = y.cuda(device=x.get_device()) if x.is_cuda else y.cpu()
            nan_mask = x != x
            if torch.equal(nan_mask, y != y):
                diff = x - y
                if diff.is_signed():
                    diff = diff.abs()
                diff[nan_mask] = 0
                max_err = diff.max()
                self.assertGreaterEqual(max_err, prec, message)
        elif type(x) == str and type(y) == str:
            super(TestCase, self).assertNotEqual(x, y)
        elif is_iterable(x) and is_iterable(y):
            super(TestCase, self).assertNotEqual(x, y)
        else:
            try:
                self.assertGreaterEqual(abs(x - y), prec, message)
                return
            except:
                pass
            super(TestCase, self).assertNotEqual(x, y, message)