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Check failed: dim.IsSet() Internal error: Got nullptr for Dimension in downsample

See original GitHub issue

Hello, thanks again for your work!

I have a question. In unsupervised.py I have im1_s, im2_s with shapes (2, 320, 1152, ?). After first downsample(im1_s, 4) shapes became (2, 80, 288, ?), and then in each iteration when computing loss (https://github.com/simonmeister/UnFlow/blob/master/src/e2eflow/core/unsupervised.py#L116)

I have downsample(im1_s, 2) and shapes decreasing twice. So, once, I have shape (2, 5, 18, ?), and there is an error:

/usr/local/lib/python3.5/dist-packages/tensorflow/include/tensorflow/core/framework/shape_inference.h:625] Check failed: dim.IsSet() Internal error: Got nullptr for Dimension . Aborted (core dumped)

What can cause such a problem and how can I solve it?

Issue Analytics

State:
Created 5 years ago
Comments:5 (2 by maintainers)

Top GitHub Comments

1reaction

yangengt123commented, Aug 1, 2018

Hi lenazherdeva ,

Did you find any additional cues or solution for this error.

I use the default config.ini setting, using synthia dataset with image size (448, 640), and get the same error in the third time downsample, the time it tries to downsample the ‘border_mask’ (Line 147 in unsupervised.py).

Do you meet this error in the same setting? Could you help me for this?

Thanks!

Update: The size stated in config.ini currently (448, 640) is different from the size stated in paper. By change the number back to (512, 768), the problem is solved.

0reactions

lenazherdevacommented, Aug 7, 2018

Hi, yangengt123!

It’s nice!

But if you will use other sizes: I just check that in the last iteration of downsampling that it’s odd size and I don’t do downsampling. (It’s for kitti dataset for example).

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