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Error in model = DIORModel(opt) #27
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Maybe first check if the cudatoolkit is installed in correct version, something should be like Besides, if you only want to run Demo (so no training), you can use higher version of pytorch, which should make the compiling easier. Thanks. |
I did try the above-mentioned conda install with no luck.
Colab is giving me K80 always and here are the gencodes in setting up block_extractor, local_attn_reshape & resample2d_package
Please suggest me a workaround for this if it's possible and let me know if it's possible on Colab |
If you only need to inference, you can bypass the installation of GLFA's CUDA function. specifying |
Thanks for the response, I am onto trying that |
Since the CUDA modules won't build, the flownet doesn't exist |
Thanks a lot for the help and yes the results are amazing. All the Best! |
No it is not required, you can specify it as empty array. |
Heey @preetshah7 did you solve the problem? I got the same error while trying the demo and I couldn't fix it |
Hi @maziqueen79 @nikky4D so, as suggested by the owner, I did not provide the flownet to the model. |
thank you for your help @preetshah7 |
Hi Aiyu Cui,
I have been following the topic since 2017 and dressing-in-order brings a lot of new features like tuck-in into the picture. Cheers for that. However, I have tried to recreate this framework on Google Colab & not been able to figure my way out. The notebook that I've used: link_to_nb
While building custom CUDA modules was smooth, I am not sure about
CUDA 11.2
along withtorch 1.0.0
When setting up the dior_mdoel, the below error pops.
link_to_cell
Please look into this, Thanks :)
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