Computation times

02:48.367 total execution time for 14 files from auto_examples/self-supervised-learning:

Example	Time	Mem (MB)
Self-supervised learning with Equivariant Splitting (demo_equivariant_splitting.py)	00:58.833	0.0
Scan-specific zero-shot SSDU for MRI (demo_scan_specific.py)	00:39.077	0.0
Self-supervised learning from incomplete measurements of multiple operators. (demo_multioperator_imaging.py)	00:23.383	0.0
Low-field MRI denoising without ground truth (demo_lowfieldmri.py)	00:09.531	0.0
Self-supervised learning with measurement splitting (demo_splitting_loss.py)	00:08.187	0.0
Self-supervised denoising with the UNSURE loss. (demo_unsure.py)	00:06.659	0.0
Self-supervised learning with Equivariant Imaging for MRI. (demo_equivariant_imaging.py)	00:05.963	0.0
Ultrasound despeckling from B-mode images (demo_ultrasound_despeckling.py)	00:04.835	0.0
Image transformations for Equivariant Imaging (demo_ei_transforms.py)	00:03.966	0.0
Self-supervised MRI reconstruction with Artifact2Artifact (demo_artifact2artifact.py)	00:02.128	0.0
Self-supervised denoising with the SURE loss. (demo_sure_denoising.py)	00:01.917	0.0
Self-supervised denoising with the Neighbor2Neighbor loss. (demo_n2n_denoising.py)	00:01.847	0.0
Poisson denoising using Poisson2Sparse (demo_poisson2sparse.py)	00:01.395	0.0
Self-supervised denoising with the Generalized R2R loss. (demo_r2r_denoising.py)	00:00.646	0.0