Mengxun Li comments

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                                            Mengxun Li

Task058 have RuntimeError: Given transposed=1, weight of size [128, 64, 1, 2, 2], expected input[2, 64, 16, 160, 160] to have 128 channels, but got 64 channels instead

I have the same problem

Task058 have RuntimeError: Given transposed=1, weight of size [128, 64, 1, 2, 2], expected input[2, 64, 16, 160, 160] to have 128 channels, but got 64 channels instead

> I have the same problem I found a possible solution to this, In my case (also, I think in your case), The error arose because the plan for this...

Task058 have RuntimeError: Given transposed=1, weight of size [128, 64, 1, 2, 2], expected input[2, 64, 16, 160, 160] to have 128 channels, but got 64 channels instead

> > > In the end I have solved the issue by using smaller resolution images. Using smaller images the algorithm will determine to use fewer pooling layers and thus...

help !install torch binding failed !

Did you install torch in a conda enviroment? I had the same issue and re-install torch and others via pip, then no errors again, you can have a try

help !install torch binding failed !

> @MenxLi I meet the same issue，can you share your torch, cuda, gcc, pip version? I have ubuntu18.04, cuda11.7, gcc10.3, (succeed in pip23.1.2, torch2.0.1) / (failed in pip23.0.1, torch2.0)

How much memory is required to replicate the paper result?

You can use `--no_batching` to disable pre-batching, with which the data would be loaded in a streaming way...