Comments (3)
just change ".view()" into ".contiguous().view()" can fix this
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Perhaps something changed between python versions because of which memory is fragmented. Can you try using .reshape()
as suggested?
from gif.
from gif.
Related Issues (20)
- training problems HOT 3
- train on my own datasets,the embd_reg_l loss is 0
- output images are fine, but the meshes are all black HOT 5
- Use DECA to get FLAME parameters, but when using these parameters to generate image, the saved meshes still all black
- Mtl file does not exist HOT 2
- done HOT 2
- done
- done
- train on my own datasets ,but the test results are bad HOT 1
- can't don't load inputfile and checkpoint
- Problem with run generate_random_samples.py HOT 3
- about flame parameters HOT 1
- trouble with running generate_random_samples.py HOT 1
- [Q]. How to get images of similar appearance but different pose face images like fig.1 in the paper? HOT 1
- CUDA out of memory HOT 2
- Download the FLAME_texture_data HOT 1
- ModuleNotFoundError: No module named 'my_utils.photometric_optimization.models' HOT 4
- error: verts, faces, aux = load_obj(obj_filename) HOT 3
- File is missing
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from gif.