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CUDA out of memory #21
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Hey, could you please check if your GPU has enough memory for training? At a resolution of 256, the number of Gaussian points isn't sufficient to produce high-quality results. resolution = 256 flist_uv, valid_idx, uv_coord_map = load_masks(assets_path, resolution, body_model='smplx') |
Thanks !!!, our CUDA memory is 81920MB.How about you? |
Hi! |
It worked when I lowered the dimensionality and ran it on 3080. I guess it is a problem with the cuda sdk on the A100. Thank you for your help! ! ! |
Could you provide the script for generating the bary_coords.npy with custom resolution? Thanks in advance! |
Hi, Good jobs! When I tried to run the code you released(train_stage 1) on A100, a CUDA out of memory error occurred. In your paper, the implementation environment was 3090. I don’t understand why this problem occurs? The lbs_map you provided is all 512-dimensional. Can you provide 256-dimensional?Looking forward to your reply!
![_tmp_dingtalkgov_qt_clipbord_pic_5](https://private-user-images.githubusercontent.com/64882899/310715340-6d66925f-c7c5-4c14-a172-d9bc452e8a62.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.0HEK7vLJnfribiMUnwaOc9K5WP6pBkyKwKHjBXedD-Q)
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