# Computation times **00:25.796** total execution time for 7 files **from auto_examples/plug-and-play**: | Example | Time | Mem (MB) | |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------|------------| | [In-vivo ultrafast ultrasound reconstruction with Plug-and-Play](https://deepinv.org/auto_examples/plug-and-play/demo_ultrasound_invivo_PnP.html.md#sphx-glr-auto-examples-plug-and-play-demo-ultrasound-invivo-pnp-py) (`demo_ultrasound_invivo_PnP.py`) | 00:14.115 | 0 | | [Regularization by Denoising (RED) for Super-Resolution.](https://deepinv.org/auto_examples/plug-and-play/demo_RED_GSPnP_SR.html.md#sphx-glr-auto-examples-plug-and-play-demo-red-gspnp-sr-py) (`demo_RED_GSPnP_SR.py`) | 00:04.817 | 0 | | [DPIR method for PnP image deblurring.](https://deepinv.org/auto_examples/plug-and-play/demo_PnP_DPIR_deblur.html.md#sphx-glr-auto-examples-plug-and-play-demo-pnp-dpir-deblur-py) (`demo_PnP_DPIR_deblur.py`) | 00:03.228 | 0 | | [Multi-scale Plug-and-Play for Inpainting](https://deepinv.org/auto_examples/plug-and-play/demo_PnP_multiscale.html.md#sphx-glr-auto-examples-plug-and-play-demo-pnp-multiscale-py) (`demo_PnP_multiscale.py`) | 00:01.639 | 0 | | [Plug-and-Play algorithm with Mirror Descent for Poisson noise inverse problems.](https://deepinv.org/auto_examples/plug-and-play/demo_PnP_mirror_descent.html.md#sphx-glr-auto-examples-plug-and-play-demo-pnp-mirror-descent-py) (`demo_PnP_mirror_descent.py`) | 00:00.738 | 0 | | [Vanilla PnP for computed tomography (CT).](https://deepinv.org/auto_examples/plug-and-play/demo_vanilla_PnP.html.md#sphx-glr-auto-examples-plug-and-play-demo-vanilla-pnp-py) (`demo_vanilla_PnP.py`) | 00:00.650 | 0 | | [PnP with custom optimization algorithm (Primal-Dual Condat-Vu)](https://deepinv.org/auto_examples/plug-and-play/demo_PnP_custom_optim.html.md#sphx-glr-auto-examples-plug-and-play-demo-pnp-custom-optim-py) (`demo_PnP_custom_optim.py`) | 00:00.609 | 0 |