Computation times

23:23.415 total execution time for 14 files from auto_examples/self-supervised-learning:

Example	Time	Mem (MB)
Self-supervised learning with Equivariant Imaging for MRI. (demo_equivariant_imaging.py)	14:29.867	0.0
Self-supervised learning from incomplete measurements of multiple operators. (demo_multioperator_imaging.py)	02:21.633	0.0
Self-supervised learning with Equivariant Splitting (demo_equivariant_splitting.py)	01:59.479	0.0
Scan-specific zero-shot SSDU for MRI (demo_scan_specific.py)	01:54.074	0.0
Self-supervised learning with measurement splitting (demo_splitting_loss.py)	00:35.967	0.0
Low-field MRI denoising without ground truth (demo_lowfieldmri.py)	00:28.503	0.0
Self-supervised denoising with the UNSURE loss. (demo_unsure.py)	00:23.929	0.0
Ultrasound despeckling from B-mode images (demo_ultrasound_despeckling.py)	00:20.090	0.0
Image transformations for Equivariant Imaging (demo_ei_transforms.py)	00:15.679	0.0
Self-supervised MRI reconstruction with Artifact2Artifact (demo_artifact2artifact.py)	00:09.558	0.0
Poisson denoising using Poisson2Sparse (demo_poisson2sparse.py)	00:07.329	0.0
Self-supervised denoising with the Neighbor2Neighbor loss. (demo_n2n_denoising.py)	00:07.273	0.0
Self-supervised denoising with the SURE loss. (demo_sure_denoising.py)	00:07.113	0.0
Self-supervised denoising with the Generalized R2R loss. (demo_r2r_denoising.py)	00:02.921	0.0