Computation times

00:20.110 total execution time for 9 files from auto_examples/optimization:

Example	Time	Mem (MB)
Multispectral demosaicing from raw sensor data (demo_multispectral_demosaicing.py)	00:04.898	0.0
Image deblurring with Total-Variation (TV) prior (demo_TV_minimisation.py)	00:03.719	0.0
Patch priors for limited-angle computed tomography (demo_patch_priors_CT.py)	00:02.821	0.0
3D denoising of brain MRI with wavelet and TV priors (demo_3D_denoising.py)	00:02.596	0.0
Expected Patch Log Likelihood (EPLL) for Denoising and Inpainting (demo_epll.py)	00:02.284	0.0
Poisson Inverse Problems with Maximum-Likelihood Expectation-Maximization (MLEM) (demo_poisson_mlem.py)	00:01.437	0.0
Image deblurring with custom deep explicit prior. (demo_custom_prior.py)	00:01.058	0.0
Image inpainting with wavelet prior (demo_wavelet_prior.py)	00:01.007	0.0
Reconstructing an image using the deep image prior. (demo_dip.py)	00:00.290	0.0