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# Adding an optimization module
For now, Tensorly (TL) ships with one API for each particular tensor decomposition model. While this has the advantage of simplicity for the end-user, this limits the …
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Any option to implement an easy way to "plug and play" different loss functions in the tensor decompositions?
It would be great having something like that instead of editing each of the different fun…
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Thank you for your great contribution.
I noticed that the dense layer could be incorporated in VGG successfully, but I did not found the implementation of CONV layer, I would like to know if the CON…
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Dear all,
It would be great to see an end-to-end practical example of LoTR. By "practical" I mean that one takes, for example some existing LLM weights file, compresses it into a smaller weights fi…
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I noticed the following note in the source code:
https://github.com/spglib/spgrep/blob/0ecee48f6eab9598a079ffa1ce58a47f73d0754d/src/spgrep/tensor.py#L88-L91
Can you give an example to illustrate…
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I have developed the following tensor operation subroutine. Please let me know if there is a need from the community for this tensor operation. If yes, I can merge this subroutine into the develop…
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### What should we add?
The low rank representations of the quantum chemistry Hamiltonian (https://www.nature.com/articles/s41534-021-00416-z.pdf) are useful for time evolution as well as variation…
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I'm working on a project where I need to map FX node names to their corresponding ONNX node names, particularly after exporting an FX `GraphModule` to ONNX. The naive approach I've been using involves…
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Hi folks, I'd like to get your feedback on my proposed design of selective decomposition of operations in Torch-MLIR.
I am building mainly on the notion of "backend-legal Ops" (merged in [this PR](…
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I will list here some functions that I miss in the API and keep updating as I need them, for start I will list some useful functions that I will potentially need, also open for discussion on its namin…