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Official Code for Invertible Residual Networks

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Bumps [certifi](https://github.com/certifi/python-certifi) from 2019.3.9 to 2022.12.7. Commits 9e9e840 2022.12.07 b81bdb2 2022.09.24 939a28f 2022.09.14 aca828a 2022.06.15.2 de0eae1 Only use importlib.resources's new files() / Traversable API on Python ≥3.11 ... b8eb5e9 2022.06.15.1...

dependencies

Bumps [pillow](https://github.com/python-pillow/Pillow) from 6.2.0 to 9.3.0. Release notes Sourced from pillow's releases. 9.3.0 https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html Changes Initialize libtiff buffer when saving #6699 [@​radarhere] Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [@​wiredfool]...

dependencies

Bumps [joblib](https://github.com/joblib/joblib) from 0.13.2 to 1.2.0. Changelog Sourced from joblib's changelog. Release 1.2.0 Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported....

dependencies

Bumps [numpy](https://github.com/numpy/numpy) from 1.16.4 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

Dear author of the "i-Res-Net" I would like to ask what does the purpose of the `ignore_lodget` parameter? in "CIFAR_main.py" at line 268 ```python with torch.no_grad(): model(init_batch, ignore_logdet=True) ``` Also...

Is it possible to share the pretrained models?

Thank you very much for sharing the code, I have a few questions that I want to bother you 1. Glow is structurally reversible, that is, it is a reversible...

Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.25.3 to 1.26.5. Release notes Sourced from urllib3's releases. 1.26.5 :warning: IMPORTANT: urllib3 v2.0 will drop support for Python 2: Read more in the v2.0 Roadmap Fixed...

dependencies

Hello, I start up visdom server with default parameters and when I run your `scripts/classify_cifar.sh` script, nothing shows up in visdom, except the very last test accuracy point. I have...

Hi, The conv_iResNet, different with multiscale_conv_iResNet, does not have layers in block.stack.