DynamicShape[__main__](float32_0<1,3,128,128>) -> float32_4<1,16,86,86>
│ Conv2d[torch.nn.modules.conv](float32_0<1,3,128,128>) -> float32_3<1,16,128,128>
│ └· conv2d[torch.nn.functional](float32_0<1,3,128,128>, float32_1<16,3,1,1>, float32_2<16>, (1, 1), (0, 0), (1, 1), 1) -> float32_3<1,16,128,128>
└· __getitem__[torch.Tensor](float32_3<1,16,128,128>, (:, :, 42:, 42:)) -> float32_4<1,16,86,86>