moboehle/pytorch-lrp

Basic LRP implementation in PyTorch

pytorch-lrp's Issues

NameError: name 'INSERT' is not defined

When I tried to run this code in colab notebook , it occured the problem as "NameError: name 'INSERT' is not defined" during the process of importing setting.py. I wonder the reason behind it because I couldn't find corresponding useful information on the Internet. Thanks.

Question inverter_util.py

In compute_propagated_relevance function,

Do you only support max_pooling, not avg_pool or adaptive_avg_pooling??

Question about skip connections.

I see that you base on sequential relevance propagation

Pytorch-LRP/innvestigator.py

Line 212 in 3263df4

for layer in rev_model:

but isn't it not acceptable for skip connection, where relevance should come from residual and identity branch?

RuntimeError: shape '[1, 2048, 10, 10]' is invalid for input of size 2048

I'm trying to analyze FaceForensics detector XceptionNet with your LRP implementation, but I get stuck when trying to analyze the first Conv2d layer (the last conv in the network) in the backpass. I'm getting this error message when trying to reshape relevance_in in method conv_nd_inverse (file: inverter_util.py):

relevance_in = relevance_in.view(m.out_shape)
RuntimeError: shape '[1, 2048, 10, 10]' is invalid for input of size 2048

So relevance_in has size torch.Size([1, 2048]) and m.out_shape is [1, 2048, 10, 10]. Why am I getting this error?

How to get "holdout_AD_CN_2Yr15T_plus_UniqueScreening_ID_Hippocampus.h5"

Could you please supply some detail on how to get the "holdout_AD_CN_2Yr15T_plus_UniqueScreening_ID_Hippocampus.h5" file, which is in "Beta Correlation.ipynb" script? Thank you very much.

请问一下数据集下载的是那个呢？

数据申请通过了，但是不知道具体下载那个数据集

Question about unet with upsample or ConvTranspose2d layer support

I want to use LRP to explain the semantic segmentation task using Unet model (Pytorch). I tested the LRP in captum but not support nn.Upsample and nn.ConvTranspose2d. I would like to know if the semantic segmentation model like Unet can be supported, and if not, how should it be implemented? Any help would be appreciated!

Version of Pytorch and Python

Hi,

Thanks for the awesome repo. However, I am getting some syntax errors and I guess it might be due to difference of your Pytorch and Python. Can you kindly comment on

1. Version of Pytorch
2. Version of Python

For example I am getting 'syntax error' in the following line:
https://github.com/moboehle/Pytorch-LRP/blob/master/inverter_util.py#L207

Keenly looking forward to your response.

Thanks,
Avisek

potential bug in Ln 336 in inverter_util.py

When I tested the b-rule, an error raised saying sum_weights is not defined. I think it could be a bug. I removed this line and could run correctly.

when i use lrp in maxpool, the sum of relevance will be changed.

I print the sum of relevance, then I found that it will be changed in maxpool layer.