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The Modified Differential Multiplier Method (MDMM) for PyTorch

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This line `value += c_return.value` assumes that each constraint returns a single component. Yet constraints like Ax=b, where b is a vector, are very common.

Thanks a lot for the very useful package!! Would it be possible to integrate in the official release the changes contained in this fork https://github.com/the-moliver/mdmm/blob/master/mdmm/mdmm.py#L161? Passing a list of arguments...

Many thanks for this package. Would it be possible for you to add the following examples to your library. I believe that it is a bit more clear, and it...

Small generalization of your code to allow the functions to which constraints are applied to be able to take arguments. This allows for using multiple loss functions, constraining a model's...