chainer-gan-lib

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Bumps [numpy](https://github.com/numpy/numpy) from 1.11.1 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...

dependabot[bot]

Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.2.0 to 2.7.2. Release notes Sourced from tensorflow's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...

dependabot[bot]

zhaoli2017

I found it didn't generate correct images in evaluation.py, so please check it, thank you.

Dai7Igarashi

after download `inception` module on `common/inception/`, I got following error ```python from inception.inception_score import inception_score, Inception ModuleNotFoundError: No module named 'inception.inception_score' ``` do I edited `evaluation.py`. ```python from inception.inception_score ```...

atsukoba

I downloaded your cifar-10-fid.npz file and when trying to load the data using `fid = FID(stat["mean"], stat["cov"], mean, cov)` then get following error: KeyError: 'mean is not a file in...

heikir

hello, would you please also consider CPU(especially iDeep enbaled) case? In some files, we can see that you did "model.to_gpu()" or "chainer.cuda.to_cpu(**)" without checking directly. Thanks.

mingxiaoh

In [updater](https://github.com/pfnet-research/chainer-gan-lib/blob/master/progressive/updater.py) of progressive GAN, the "reso", "reso_low" and "reso_high" at lines 41,47,48 must be converted to "int" as it will then be used as kernel and stride in F.average_pooling_2d

MahdiKalayeh

ResNet based SN-DCGAN model for training ILRSVRC2012 dataset?

2

Will you release the code of ResNet based SN-DCGAN model for training ILRSVRC2012 dataset? I'm curious about the details of this network architecture. Thanks.

watsonyanghx

how to reproduce inception / FID scores?

3

Which scores in the table are from your code? Do you have the commands to reproduce them exactly?

jcpeterson