Computation times

22:37.116 total execution time for 13 files from auto_examples/self-supervised-learning:

Example	Time	Mem (MB)
Self-supervised learning with Equivariant Imaging for MRI. (demo_equivariant_imaging.py)	14:11.062	0.0
Self-supervised learning from incomplete measurements of multiple operators. (demo_multioperator_imaging.py)	02:20.271	0.0
Self-supervised learning with Equivariant Splitting (demo_equivariant_splitting.py)	01:57.177	0.0
Scan-specific zero-shot SSDU for MRI (demo_scan_specific.py)	01:50.113	0.0
Self-supervised learning with measurement splitting (demo_splitting_loss.py)	00:35.267	0.0
Low-field MRI denoising without ground truth (demo_lowfieldmri.py)	00:27.312	0.0
Self-supervised denoising with the UNSURE loss. (demo_unsure.py)	00:23.306	0.0
Self-supervised MRI reconstruction with Artifact2Artifact (demo_artifact2artifact.py)	00:14.765	0.0
Image transformations for Equivariant Imaging (demo_ei_transforms.py)	00:14.590	0.0
Self-supervised denoising with the Neighbor2Neighbor loss. (demo_n2n_denoising.py)	00:07.217	0.0
Self-supervised denoising with the SURE loss. (demo_sure_denoising.py)	00:07.032	0.0
Poisson denoising using Poisson2Sparse (demo_poisson2sparse.py)	00:06.079	0.0
Self-supervised denoising with the Generalized R2R loss. (demo_r2r_denoising.py)	00:02.926	0.0