Some tutorials take way too much time

[skoudoro]

• In Green, tutorial < 5 min, they are fine
• in black, tutorial between 5-15min, warning zone, we need to review some of them
• in red, tutorial more than 15min, danger zone, we need to do something

+ quick_start.py  That took 6.85 seconds to run
+ brain_extraction_dwi.py That took 32.29 seconds to run
+ reconst_csa_parallel.py  That took 141.54 seconds to run
+ reconst_csa.py That took 67.55 seconds to run
+ reconst_csd_parallel.py That took 33.74 seconds to run
+ reconst_csd.py That took 151.74 seconds to run
+ reconst_forecast.py That took 79.97 seconds to run
+ reconst_dki.py  That took 174.17 seconds to run
+ reconst_dki_micro.py That took 168.40 seconds to run
+ reconst_msdki.py That took 220.21 seconds to run
+ reconst_dsi_metrics.py That took 30.10 seconds to run
+ reconst_dsi.py That took 47.04 seconds to run
+ reconst_dti.py took 59.90 seconds to run
+ reconst_fwdti.py That took 72.81 seconds to run
+ reconst_gqi.py That took 5.33 seconds to run
+ reconst_dsid.py That took 0.56 seconds to run
- reconst_ivim.py That took 1250.27 seconds to run
- reconst_mapmri.py That took 1286.67 seconds to run
reconst_mcsd.py That took 583.18 seconds to run
reconst_qtdmri.py 545.49 seconds to run
reconst_rumba.py That took 898.77 seconds to run
+ reconst_sfm.py That took 178.08 seconds to run
+ reconst_sh.py That took 10.23 seconds to run
+ reconst_shore.py That took 3.41 seconds to run
+ reconst_shore_metrics.py That took 6.01 seconds to run
+ reconst_qti.py That took 87.10 seconds to run
+ kfold_xval.py That took 3.38 seconds to run
+ reslice_datasets.py That took 1.21 seconds to run
+ segment_quickbundles.py That took 1.87 seconds to run
+ segment_extending_clustering_framework.py That took 1.26 seconds to run
+ segment_clustering_features.py That took 2.35 seconds to run
+ segment_clustering_metrics.py That took 0.63 seconds to run
+ snr_in_cc.py That took 41.26 seconds to run
+ streamline_formats.py That took 11.30 seconds to run
+ gradients_spheres.py That took 7.50 seconds to run
+ simulate_multi_tensor.py That took 8.85 seconds to run
+ simulate_dki.py That took 0.38 seconds to run
+ restore_dti.py That took 12.59 seconds to run
+ streamline_length.py That took 1.09 seconds to run
+ streamline_tools.py That took 65.25 seconds to run
+ surface_seed.py That took 2.92 seconds to run
+ linear_fascicle_evaluation.py That took 13.69 seconds to run
- denoise_patch2self.py That took 2348.32 seconds to run
+ denoise_nlmeans.py That took 2.11 seconds to run
+ denoise_localpca.py That took 126.54 seconds to run
denoise_mppca.py That took 485.99 seconds to run
+ denoise_gibbs.py That took 164.44 seconds to run
fiber_to_bundle_coherence.py That took 487.19 seconds to run
+ tracking_introduction_eudx.py That took 26.89 seconds to run
+ tracking_deterministic.py That took 25.92 seconds to run
+ tracking_probabilistic.py That took 67.04 seconds to run
+ tracking_bootstrap_peaks.py That took 46.36 seconds to run
+ tracking_stopping_criterion.py That took 124.76 seconds to run
+ tracking_pft.py That took 144.13 seconds to run
+ tracking_rumba.py That took 165.79 seconds to run
- tracking_sfm.py That took 10422.80 seconds to run
affine_registration_3d.py That took 348.08 seconds to run
affine_registration_masks.py That took 323.31 seconds to run
+ syn_registration_2d.py That took 43.71 seconds to run
+ syn_registration_3d.py That took 63.19 seconds to run
tissue_classification.py That took 224.47 seconds to run
+ bundle_registration.py That took 3.88 seconds to run
+ streamline_registration.py That took 121.79 seconds to run
+ viz_advanced.py That took 6.26 seconds to run
+ viz_slice.py That took 6.34 seconds to run
+viz_bundles.py That took 8.94 seconds to run
+ contextual_enhancement.py That took 64.02 seconds to run
+ workflow_creation.py That took 0.16 seconds to run
+ combined_workflow_creation.py That took 0.10 seconds to run
+ viz_roi_contour.py That took 21.61 seconds to run
+ register_binary_fuzzy.py That took 4.77 seconds to run
+ bundle_extraction.py That took 15 seconds to run
+ bundle_assignment_maps.py That took 8 seconds to run
+ bundle_shape_similarity.py  That took 4 seconds to run
- motion_correction.py That took  2348.32 seconds to run

[skoudoro]

@kenjimarshall, can you look at rumba to reduce the time of the tutorial ? @ShreyasFadnavis, can you look ivim mcsd patch2self? @RafaelNH, can you look at mapmri qtmri ? @gabknight, can you look at tissueclassification? @arokem @dPys can you look at tracking_sfm?

I will look at the last ones

Thank you all

[ShreyasFadnavis]

Hi @skoudoro -- thanks for reporting this! Can you tell the system on which these times were computed on?

[skoudoro]

Can you tell the system on which these times were computed on?

Not sure it makes a difference @ShreyasFadnavis, all tutorials have been run on the same machine. Indiana University cluster, a general node in interactive mode. Few resources were allocated to this node to simulate a basic laptop. more information on https://kb.iu.edu/d/awrz