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als_runs_reddit_2020_04_27_2258_diary.txt
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als_runs_reddit_2020_04_27_2258_diary.txt
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Starting diary with name artifact_als_runs_reddit_2020_04_27_2258_diary.txt
Repository directory: /home/bwlarse/tensor_toolbox_sparse
Local Branch: master
Remote: origin (https://gitlab.com/bwlarsen/tensor_toolbox)
Remote Branch: master
Short Hash: [33mc8
Up-to-Date: true
Repository directory: /home/bwlarse/cparls_sparse_experiments
Local Branch: master
Remote: origin (https://gitlab.com/bwlarsen/cparls_sparse_experiments)
Remote Branch: master
Short Hash: [33m23
Up-to-Date: false
Statuses...
[31mM[m .gitignore
[31mM[m als_runs_uber.m
[31m??[m cp_runs_reddit.m
[31m??[m kahuna_slurm_batch.sh
[31m??[m kahuna_slurm_batch_zen.sh
==== Diffs ====
[1mindex 3a750d6..d496bee 100644[m
[1m--- a/.gitignore[m
[1m+++ b/.gitignore[m
[36m@@ -26,7 +26,7 @@[m
*.tns.gz[m
*.tns[m
*.mat[m
[31m-*.out[m
[32m+[m[32mout*[m
artifact*[m
!profile*.mat[m
!small*.mat[m
[1mdiff --git a/als_runs_uber.m b/als_runs_uber.m[m
[1mindex ff73c9c..9313d2a 100644[m
[1m--- a/als_runs_uber.m[m
[1m+++ b/als_runs_uber.m[m
[36m@@ -22,9 +22,9 @@[m [mend[m
nruns = 1;[m
R = 25;[m
% Need to change this to be the path on Kahuna[m
[31m-%load ('/home/bwlarse/Tensors/tensor_data_uber/uber_tensor');[m
[32m+[m[32mload ('/home/bwlarse/Tensors/tensor_data_uber/uber_tensor');[m
tic;[m
[31m-load ('uber_tensor');[m
[32m+[m[32m%load ('uber_tensor');[m
toc[m
fprintf('\n---Loading in Uber Tensor---\n')[m
[m
==== End Diffs ====
---Loading in Log Count Reddit Tensor---
Elapsed time is 371.091215 seconds.
---Starting run 1/1---
Generating random initialization:
Random Seed in Hex: 41d88e84f9000000
Finding CP decomposition:
Random Seed in Hex: 41dcd52037800000
CP_ALS (with trace):
Tensor size: 8211298 x 176962 x 8116559 (1.179407e+19 total entries)
Sparse tensor: 4687474081 (4e-08%) Nonzeros and 1.179407e+19 (100.00%) Zeros
Finding CP decomposition with R=25
Fit change tolerance: 1.000000e-04
Max iterations: 50
Iter 1: f = 1.885552e-02 f-delta = 1.9e-02 time = 12162.2 seconds
Iter 2: f = 4.733919e-02 f-delta = 2.8e-02 time = 11738.4 seconds
Iter 3: f = 5.141735e-02 f-delta = 4.1e-03 time = 13392.9 seconds
Iter 4: f = 5.258782e-02 f-delta = 1.2e-03 time = 13122.9 seconds
Iter 5: f = 5.314663e-02 f-delta = 5.6e-04 time = 11007.9 seconds
Iter 6: f = 5.350616e-02 f-delta = 3.6e-04 time = 11116.9 seconds
Iter 7: f = 5.379867e-02 f-delta = 2.9e-04 time = 11282.8 seconds
Iter 8: f = 5.407211e-02 f-delta = 2.7e-04 time = 11345.5 seconds
Iter 9: f = 5.434764e-02 f-delta = 2.8e-04 time = 11039.4 seconds
Iter 10: f = 5.463583e-02 f-delta = 2.9e-04 time = 11249.1 seconds
Iter 11: f = 5.493887e-02 f-delta = 3.0e-04 time = 10885.4 seconds
Iter 12: f = 5.525083e-02 f-delta = 3.1e-04 time = 10874.3 seconds
Iter 13: f = 5.556148e-02 f-delta = 3.1e-04 time = 10709.3 seconds
Iter 14: f = 5.586172e-02 f-delta = 3.0e-04 time = 10770.7 seconds
Iter 15: f = 5.614594e-02 f-delta = 2.8e-04 time = 10849.6 seconds
Iter 16: f = 5.641118e-02 f-delta = 2.7e-04 time = 10772.8 seconds
Iter 17: f = 5.665609e-02 f-delta = 2.4e-04 time = 11001.2 seconds
Iter 18: f = 5.688087e-02 f-delta = 2.2e-04 time = 10783.3 seconds
Iter 19: f = 5.708729e-02 f-delta = 2.1e-04 time = 10751.0 seconds
Iter 20: f = 5.727797e-02 f-delta = 1.9e-04 time = 10705.4 seconds
Iter 21: f = 5.745516e-02 f-delta = 1.8e-04 time = 10632.1 seconds
Iter 22: f = 5.762008e-02 f-delta = 1.6e-04 time = 10886.6 seconds
Iter 23: f = 5.777292e-02 f-delta = 1.5e-04 time = 10541.4 seconds
Iter 24: f = 5.791341e-02 f-delta = 1.4e-04 time = 10532.6 seconds
Iter 25: f = 5.804141e-02 f-delta = 1.3e-04 time = 10604.3 seconds
Iter 26: f = 5.815729e-02 f-delta = 1.2e-04 time = 10544.9 seconds
Iter 27: f = 5.826193e-02 f-delta = 1.0e-04 time = 10966.8 seconds
Iter 28: f = 5.835666e-02 f-delta = 9.5e-05 time = 11170.6 seconds
Final f = 5.835666e-02
Total Time (secs): 314920.149