MyModule[__main__](float32_0<1,3,128,128>) -> float32_3<1,3,128,128>
 │  Conv2d[torch.nn.modules.conv](float32_0<1,3,128,128>) -> float32_3<1,3,128,128>
 │   └· conv2d[torch.nn.functional](float32_0<1,3,128,128>, float32_1<3,3,3,3>, float32_2<3>, (1, 1), (1, 1), (1, 1), 1) -> float32_3<1,3,128,128>
 │  __gt__[torch.Tensor](float32_3<1,3,128,128>, 0) -> bool_4<1,3,128,128>
 │  __getitem__[torch.Tensor](float32_3<1,3,128,128>, bool_4<1,3,128,128>) -> float32_5<24485>
 │   (!) Inplace 
 │  __iadd__[torch.Tensor](float32_5<24485>, 1) -> float32_5<24485>
 │   (!) Inplace 
 └· __setitem__[torch.Tensor](float32_3<1,3,128,128>, bool_4<1,3,128,128>, float32_5<24485>) -> float32_3<1,3,128,128>