nn.Conv2d output wrong in iOS?

I try to run libtorch in iOS, but get a weird output. I use the below python code to export the model to file. When load in python it works well, But when load in ios the output looks weird.
export code:

class TestModule(nn.Module):
  def __init__(self):
    super(TestModule, self).__init__()
    self.op = nn.Sequential(
      nn.Conv2d(1, 2, 3, padding=1),
    )

    self._init_weights()

  def _init_weights(self):
    for m in self.modules():
      if isinstance(m, nn.ConvTranspose2d) or isinstance(m, nn.Conv2d):
        nn.init.kaiming_normal_(m.weight.data)
        m.bias.data.zero_()

  def forward(self, x):
    return self.op(x)

down = TestModule()

script_model = torch.jit.trace(down, torch.rand(1, 1, 4, 4))

print(script_model)

script_model.save('model/down_4.pt')

Load in iOS:

    auto module_ = torch::jit::load(modulePath.UTF8String);
    
    at::Tensor input = at::ones({1, 1, 4, 4}, at::kFloat);
    
    torch::autograd::AutoGradMode guard(false);

    auto output = module_.forward({input}).toTensor();
    
    std::cout << output << "\n";

iOS output:
截屏2020-03-0301.13.21

libtorch version: 1.4.0