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Simplification of pruned models for accelerated inference | SoftwareX https://doi.org/10.1016/j.softx.2021.100907

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Thank you guys for your library. It's a quite convenient tool. However, when I want to implement simplify with Swin_T model, it seems it does not work. To illustrate the...

Hi guys, thank you for your library. It is quite cool. However, I have met a problem when I try to use Simplify with Resnet18 on CIFAR10 dataset. I have...

Hi guys, congrats for the work, nice library. I am trying to use Simplify with ResNet on CIFAR-100 dataset. I use prune.ln_structured method from Pytorch with amount value is 0.8...

bug

In my python package [bregman-learning](https://github.com/TJHeeringa/BregmanLearning), I use, amongst others, your library and would like to make my package available on conda-forge in addition to PyPI. Since simplify is not yet...

Hi, could you explain how to use this for non-vision models? Trying to apply this to an audio model I am getting an error because `get_previous_layer` never finds a `Conv2d`...

Bumps [torch](https://github.com/pytorch/pytorch) from 1.12.0 to 2.2.0. Release notes Sourced from torch's releases. PyTorch 2.2: FlashAttention-v2, AOTInductor PyTorch 2.2 Release Notes Highlights Backwards Incompatible Changes Deprecations New Features Improvements Bug fixes...

dependencies