When args '--autoencoder', is set to 1 iaf argument missing error
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Hi Lucas,
For the file vae_2d.py
When I am trying to use the KL divergence loss with the autoencoder by setting the
args '--autoencoder', to 0 it gives the following error.
Seems some argument is missing in the command line parameters.
Can you help out here?
File "vae_2d.py", line 50, in
model = VAE(args).cuda()
File "/home/prashant/P/ATM/Code/lidar_generation/lidar_generation/models.py", line 104, in init
if not args.autoencoder and args.iaf:
AttributeError: 'Namespace' object has no attribute 'iaf'
Thanks,
Prashant
Can you give me the command you are running?
I ran this command for using the KL loss
python vae_2d.py --no_polar=1 --autoencoder=0
python vae_2d.py --autoencoder=0
-Prashant
Ok pull the new code and try now. (I used to have setup for IAF, but I removed it because it was not giving significant gains. It seemed I had forgot it at one place. Should be ok now
It seems to be giving some output now. Let me check. By the way, one thing that has been puzzling me from a long time is the preprocess function in utils.py
I have not been able to decode it fully. It is doing some filtering along the 3 coordinates based on some max and min across axes and that is ok.
When I give it a tensor of the shape of (154, 60, 512, 4) it spits out a preprocessed output of
(152, 2, 40, 256).
I am puzzled at this transformation. Could you please shed some light here?
-Prashant
The input is first normalized per channel (which is why you have the min / maxes). Then, we make sure the whole H x W grid has valid values. What sometimes happen is that when cutting the 360 deg. space into slices, some slices have no points that fall into them. So I use neighbouring slices to estimate what would be a good value for the missing data.
As for the (154, 60, 512, 4) to (152, 2, 40, 256), I am simply 1) transposing the axes from BHWC to BCHW and then 2) converting to cylindrical representation. You can find more info here in this issue