INFO - PEAWGAN_SCALABILTIY - Running command 'run'
INFO - PEAWGAN_SCALABILTIY - Started run with ID "4"

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Bechnmarking num_nodes:   7%|▋         | 1/14 [00:02<00:38,  2.97s/it]Non-dynamically creating finetti stuff


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Bechnmarking num_nodes:  14%|█▍        | 2/14 [00:03<00:27,  2.31s/it]Non-dynamically creating finetti stuff


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Bechnmarking num_nodes:  21%|██▏       | 3/14 [00:04<00:20,  1.90s/it]Non-dynamically creating finetti stuff


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Bechnmarking num_nodes:  29%|██▊       | 4/14 [00:05<00:16,  1.67s/it]Non-dynamically creating finetti stuff


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Bechnmarking num_nodes:  36%|███▌      | 5/14 [00:07<00:14,  1.64s/it]Non-dynamically creating finetti stuff


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Bechnmarking num_nodes:  43%|████▎     | 6/14 [00:12<00:20,  2.57s/it]Non-dynamically creating finetti stuff


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Bechnmarking num_nodes:  50%|█████     | 7/14 [00:22<00:33,  4.82s/it]Non-dynamically creating finetti stuff


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Measuring for N=8000:  52%|█████▏    | 52/100 [00:08<00:07,  6.34it/s][A

Measuring for N=8000:  53%|█████▎    | 53/100 [00:08<00:07,  6.34it/s][A

Measuring for N=8000:  54%|█████▍    | 54/100 [00:08<00:07,  6.34it/s][A

Measuring for N=8000:  55%|█████▌    | 55/100 [00:08<00:07,  6.33it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)
Caught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  57%|█████▋    | 57/100 [00:08<00:05,  7.36it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  58%|█████▊    | 58/100 [00:08<00:05,  7.43it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  59%|█████▉    | 59/100 [00:09<00:05,  7.46it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  60%|██████    | 60/100 [00:09<00:05,  7.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  61%|██████    | 61/100 [00:09<00:05,  7.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  62%|██████▏   | 62/100 [00:09<00:05,  7.54it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  63%|██████▎   | 63/100 [00:09<00:04,  7.55it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  64%|██████▍   | 64/100 [00:09<00:04,  7.56it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  65%|██████▌   | 65/100 [00:09<00:04,  7.56it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  66%|██████▌   | 66/100 [00:10<00:04,  7.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  67%|██████▋   | 67/100 [00:10<00:04,  7.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  68%|██████▊   | 68/100 [00:10<00:04,  7.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  69%|██████▉   | 69/100 [00:10<00:04,  7.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  70%|███████   | 70/100 [00:10<00:03,  7.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  71%|███████   | 71/100 [00:10<00:03,  7.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  72%|███████▏  | 72/100 [00:10<00:03,  7.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  73%|███████▎  | 73/100 [00:10<00:03,  7.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  74%|███████▍  | 74/100 [00:11<00:03,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  75%|███████▌  | 75/100 [00:11<00:03,  7.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  76%|███████▌  | 76/100 [00:11<00:03,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  77%|███████▋  | 77/100 [00:11<00:03,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  78%|███████▊  | 78/100 [00:11<00:02,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  79%|███████▉  | 79/100 [00:11<00:02,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  80%|████████  | 80/100 [00:11<00:02,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  81%|████████  | 81/100 [00:12<00:02,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  82%|████████▏ | 82/100 [00:12<00:02,  7.56it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  83%|████████▎ | 83/100 [00:12<00:02,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  84%|████████▍ | 84/100 [00:12<00:02,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  85%|████████▌ | 85/100 [00:12<00:01,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  86%|████████▌ | 86/100 [00:12<00:01,  7.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  87%|████████▋ | 87/100 [00:12<00:01,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  88%|████████▊ | 88/100 [00:12<00:01,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  89%|████████▉ | 89/100 [00:13<00:01,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  90%|█████████ | 90/100 [00:13<00:01,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  91%|█████████ | 91/100 [00:13<00:01,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  92%|█████████▏| 92/100 [00:13<00:01,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  93%|█████████▎| 93/100 [00:13<00:00,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  94%|█████████▍| 94/100 [00:13<00:00,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  95%|█████████▌| 95/100 [00:13<00:00,  7.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  96%|█████████▌| 96/100 [00:13<00:00,  7.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  97%|█████████▋| 97/100 [00:14<00:00,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  98%|█████████▊| 98/100 [00:14<00:00,  7.56it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000:  99%|█████████▉| 99/100 [00:14<00:00,  7.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 490.00 MiB (GPU 0; 31.75 GiB total capacity; 30.10 GiB already allocated; 391.69 MiB free; 30.29 GiB reserved in total by PyTorch)


Measuring for N=8000: 100%|██████████| 100/100 [00:14<00:00,  7.57it/s][A
Measuring for N=8000: 100%|██████████| 100/100 [00:14<00:00,  6.89it/s]

Bechnmarking num_nodes:  57%|█████▋    | 8/14 [00:38<00:49,  8.23s/it]Non-dynamically creating finetti stuff


Measuring for N=10000:   0%|          | 0/100 [00:00<?, ?it/s][A

Measuring for N=10000:   1%|          | 1/100 [00:00<00:23,  4.28it/s][A

Measuring for N=10000:   2%|▏         | 2/100 [00:00<00:22,  4.28it/s][A

Measuring for N=10000:   3%|▎         | 3/100 [00:00<00:22,  4.28it/s][A

Measuring for N=10000:   4%|▍         | 4/100 [00:00<00:22,  4.29it/s][A

Measuring for N=10000:   5%|▌         | 5/100 [00:01<00:22,  4.29it/s][A

Measuring for N=10000:   6%|▌         | 6/100 [00:01<00:21,  4.30it/s][A

Measuring for N=10000:   7%|▋         | 7/100 [00:01<00:21,  4.30it/s][A

Measuring for N=10000:   8%|▊         | 8/100 [00:01<00:21,  4.30it/s][A

Measuring for N=10000:   9%|▉         | 9/100 [00:02<00:21,  4.30it/s][A

Measuring for N=10000:  10%|█         | 10/100 [00:02<00:20,  4.30it/s][A

Measuring for N=10000:  11%|█         | 11/100 [00:02<00:20,  4.30it/s][A

Measuring for N=10000:  12%|█▏        | 12/100 [00:02<00:20,  4.30it/s][A

Measuring for N=10000:  13%|█▎        | 13/100 [00:03<00:20,  4.31it/s][A

Measuring for N=10000:  14%|█▍        | 14/100 [00:03<00:19,  4.31it/s][A

Measuring for N=10000:  15%|█▌        | 15/100 [00:03<00:19,  4.30it/s][A

Measuring for N=10000:  16%|█▌        | 16/100 [00:03<00:19,  4.30it/s][A

Measuring for N=10000:  17%|█▋        | 17/100 [00:03<00:19,  4.30it/s][A

Measuring for N=10000:  18%|█▊        | 18/100 [00:04<00:19,  4.30it/s][A

Measuring for N=10000:  19%|█▉        | 19/100 [00:04<00:18,  4.30it/s][A

Measuring for N=10000:  20%|██        | 20/100 [00:04<00:18,  4.31it/s][A

Measuring for N=10000:  21%|██        | 21/100 [00:04<00:18,  4.30it/s][A

Measuring for N=10000:  22%|██▏       | 22/100 [00:05<00:18,  4.29it/s][A

Measuring for N=10000:  23%|██▎       | 23/100 [00:05<00:17,  4.28it/s][A

Measuring for N=10000:  24%|██▍       | 24/100 [00:05<00:17,  4.28it/s][A

Measuring for N=10000:  25%|██▌       | 25/100 [00:05<00:17,  4.28it/s][A

Measuring for N=10000:  26%|██▌       | 26/100 [00:06<00:17,  4.27it/s][A

Measuring for N=10000:  27%|██▋       | 27/100 [00:06<00:17,  4.27it/s][A

Measuring for N=10000:  28%|██▊       | 28/100 [00:06<00:16,  4.27it/s][A

Measuring for N=10000:  29%|██▉       | 29/100 [00:06<00:16,  4.27it/s][A

Measuring for N=10000:  30%|███       | 30/100 [00:06<00:16,  4.28it/s][A

Measuring for N=10000:  31%|███       | 31/100 [00:07<00:16,  4.28it/s][A

Measuring for N=10000:  32%|███▏      | 32/100 [00:07<00:15,  4.27it/s][A

Measuring for N=10000:  33%|███▎      | 33/100 [00:07<00:15,  4.27it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)
Caught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  35%|███▌      | 35/100 [00:07<00:13,  5.00it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  36%|███▌      | 36/100 [00:08<00:12,  5.04it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  37%|███▋      | 37/100 [00:08<00:12,  5.06it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  38%|███▊      | 38/100 [00:08<00:12,  5.08it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  39%|███▉      | 39/100 [00:08<00:11,  5.10it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  40%|████      | 40/100 [00:08<00:11,  5.11it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  41%|████      | 41/100 [00:09<00:11,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  42%|████▏     | 42/100 [00:09<00:11,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  43%|████▎     | 43/100 [00:09<00:11,  5.11it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  44%|████▍     | 44/100 [00:09<00:10,  5.09it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  45%|████▌     | 45/100 [00:09<00:10,  5.10it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  46%|████▌     | 46/100 [00:10<00:10,  5.11it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  47%|████▋     | 47/100 [00:10<00:10,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  48%|████▊     | 48/100 [00:10<00:10,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  49%|████▉     | 49/100 [00:10<00:09,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  50%|█████     | 50/100 [00:10<00:09,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  51%|█████     | 51/100 [00:11<00:09,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  52%|█████▏    | 52/100 [00:11<00:09,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  53%|█████▎    | 53/100 [00:11<00:09,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  54%|█████▍    | 54/100 [00:11<00:08,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  55%|█████▌    | 55/100 [00:11<00:08,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  56%|█████▌    | 56/100 [00:12<00:08,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  57%|█████▋    | 57/100 [00:12<00:08,  5.10it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  58%|█████▊    | 58/100 [00:12<00:08,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  59%|█████▉    | 59/100 [00:12<00:07,  5.14it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  60%|██████    | 60/100 [00:12<00:07,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  61%|██████    | 61/100 [00:13<00:07,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  62%|██████▏   | 62/100 [00:13<00:07,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  63%|██████▎   | 63/100 [00:13<00:07,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  64%|██████▍   | 64/100 [00:13<00:07,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  65%|██████▌   | 65/100 [00:13<00:06,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  66%|██████▌   | 66/100 [00:13<00:06,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  67%|██████▋   | 67/100 [00:14<00:06,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  68%|██████▊   | 68/100 [00:14<00:06,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  69%|██████▉   | 69/100 [00:14<00:06,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  70%|███████   | 70/100 [00:14<00:05,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  71%|███████   | 71/100 [00:14<00:05,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  72%|███████▏  | 72/100 [00:15<00:05,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  73%|███████▎  | 73/100 [00:15<00:05,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  74%|███████▍  | 74/100 [00:15<00:05,  5.11it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  75%|███████▌  | 75/100 [00:15<00:04,  5.11it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  76%|███████▌  | 76/100 [00:15<00:04,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  77%|███████▋  | 77/100 [00:16<00:04,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  78%|███████▊  | 78/100 [00:16<00:04,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  79%|███████▉  | 79/100 [00:16<00:04,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  80%|████████  | 80/100 [00:16<00:03,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  81%|████████  | 81/100 [00:16<00:03,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  82%|████████▏ | 82/100 [00:17<00:03,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  83%|████████▎ | 83/100 [00:17<00:03,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  84%|████████▍ | 84/100 [00:17<00:03,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  85%|████████▌ | 85/100 [00:17<00:02,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  86%|████████▌ | 86/100 [00:17<00:02,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  87%|████████▋ | 87/100 [00:18<00:02,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  88%|████████▊ | 88/100 [00:18<00:02,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  89%|████████▉ | 89/100 [00:18<00:02,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  90%|█████████ | 90/100 [00:18<00:01,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  91%|█████████ | 91/100 [00:18<00:01,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  92%|█████████▏| 92/100 [00:19<00:01,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  93%|█████████▎| 93/100 [00:19<00:01,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  94%|█████████▍| 94/100 [00:19<00:01,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  95%|█████████▌| 95/100 [00:19<00:00,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  96%|█████████▌| 96/100 [00:19<00:00,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  97%|█████████▋| 97/100 [00:20<00:00,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  98%|█████████▊| 98/100 [00:20<00:00,  5.12it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000:  99%|█████████▉| 99/100 [00:20<00:00,  5.13it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 764.00 MiB (GPU 0; 31.75 GiB total capacity; 30.21 GiB already allocated; 3.69 MiB free; 30.67 GiB reserved in total by PyTorch)


Measuring for N=10000: 100%|██████████| 100/100 [00:20<00:00,  5.12it/s][A
Measuring for N=10000: 100%|██████████| 100/100 [00:20<00:00,  4.85it/s]

Bechnmarking num_nodes:  64%|██████▍   | 9/14 [01:01<01:03, 12.72s/it]Non-dynamically creating finetti stuff


Measuring for N=12000:   0%|          | 0/100 [00:00<?, ?it/s][A

Measuring for N=12000:   1%|          | 1/100 [00:00<00:34,  2.91it/s][A

Measuring for N=12000:   2%|▏         | 2/100 [00:00<00:33,  2.91it/s][A

Measuring for N=12000:   3%|▎         | 3/100 [00:01<00:33,  2.90it/s][A

Measuring for N=12000:   4%|▍         | 4/100 [00:01<00:33,  2.90it/s][A

Measuring for N=12000:   5%|▌         | 5/100 [00:01<00:32,  2.90it/s][A

Measuring for N=12000:   6%|▌         | 6/100 [00:02<00:32,  2.90it/s][A

Measuring for N=12000:   7%|▋         | 7/100 [00:02<00:32,  2.90it/s][A

Measuring for N=12000:   8%|▊         | 8/100 [00:02<00:31,  2.90it/s][A

Measuring for N=12000:   9%|▉         | 9/100 [00:03<00:31,  2.90it/s][A

Measuring for N=12000:  10%|█         | 10/100 [00:03<00:31,  2.90it/s][A

Measuring for N=12000:  11%|█         | 11/100 [00:03<00:30,  2.89it/s][A

Measuring for N=12000:  12%|█▏        | 12/100 [00:04<00:30,  2.89it/s][A

Measuring for N=12000:  13%|█▎        | 13/100 [00:04<00:30,  2.89it/s][A

Measuring for N=12000:  14%|█▍        | 14/100 [00:04<00:29,  2.89it/s][A

Measuring for N=12000:  15%|█▌        | 15/100 [00:05<00:29,  2.89it/s][A

Measuring for N=12000:  16%|█▌        | 16/100 [00:05<00:29,  2.89it/s][A

Measuring for N=12000:  17%|█▋        | 17/100 [00:05<00:28,  2.90it/s][A

Measuring for N=12000:  18%|█▊        | 18/100 [00:06<00:28,  2.89it/s][A

Measuring for N=12000:  19%|█▉        | 19/100 [00:06<00:27,  2.89it/s][A

Measuring for N=12000:  20%|██        | 20/100 [00:06<00:27,  2.89it/s][A

Measuring for N=12000:  21%|██        | 21/100 [00:07<00:27,  2.83it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)
Caught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  23%|██▎       | 23/100 [00:07<00:23,  3.33it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  24%|██▍       | 24/100 [00:07<00:22,  3.36it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  25%|██▌       | 25/100 [00:08<00:22,  3.39it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  26%|██▌       | 26/100 [00:08<00:21,  3.41it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  27%|██▋       | 27/100 [00:08<00:21,  3.42it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  28%|██▊       | 28/100 [00:09<00:21,  3.43it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  29%|██▉       | 29/100 [00:09<00:20,  3.43it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  30%|███       | 30/100 [00:09<00:20,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  31%|███       | 31/100 [00:09<00:20,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  32%|███▏      | 32/100 [00:10<00:19,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  33%|███▎      | 33/100 [00:10<00:19,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  34%|███▍      | 34/100 [00:10<00:19,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  35%|███▌      | 35/100 [00:11<00:18,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  36%|███▌      | 36/100 [00:11<00:18,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  37%|███▋      | 37/100 [00:11<00:18,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  38%|███▊      | 38/100 [00:11<00:18,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  39%|███▉      | 39/100 [00:12<00:17,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  40%|████      | 40/100 [00:12<00:17,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  41%|████      | 41/100 [00:12<00:17,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  42%|████▏     | 42/100 [00:13<00:16,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  43%|████▎     | 43/100 [00:13<00:16,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  44%|████▍     | 44/100 [00:13<00:16,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  45%|████▌     | 45/100 [00:14<00:15,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  46%|████▌     | 46/100 [00:14<00:15,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  47%|████▋     | 47/100 [00:14<00:15,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  48%|████▊     | 48/100 [00:14<00:15,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  49%|████▉     | 49/100 [00:15<00:14,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  50%|█████     | 50/100 [00:15<00:14,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  51%|█████     | 51/100 [00:15<00:14,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  52%|█████▏    | 52/100 [00:16<00:13,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  53%|█████▎    | 53/100 [00:16<00:13,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  54%|█████▍    | 54/100 [00:16<00:13,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  55%|█████▌    | 55/100 [00:16<00:13,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  56%|█████▌    | 56/100 [00:17<00:12,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  57%|█████▋    | 57/100 [00:17<00:12,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  58%|█████▊    | 58/100 [00:17<00:12,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  59%|█████▉    | 59/100 [00:18<00:11,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  60%|██████    | 60/100 [00:18<00:11,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  61%|██████    | 61/100 [00:18<00:11,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  62%|██████▏   | 62/100 [00:18<00:11,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  63%|██████▎   | 63/100 [00:19<00:10,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  64%|██████▍   | 64/100 [00:19<00:10,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  65%|██████▌   | 65/100 [00:19<00:10,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  66%|██████▌   | 66/100 [00:20<00:09,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  67%|██████▋   | 67/100 [00:20<00:09,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  68%|██████▊   | 68/100 [00:20<00:09,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  69%|██████▉   | 69/100 [00:20<00:08,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  70%|███████   | 70/100 [00:21<00:08,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  71%|███████   | 71/100 [00:21<00:08,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  72%|███████▏  | 72/100 [00:21<00:08,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  73%|███████▎  | 73/100 [00:22<00:07,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  74%|███████▍  | 74/100 [00:22<00:07,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  75%|███████▌  | 75/100 [00:22<00:07,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  76%|███████▌  | 76/100 [00:23<00:06,  3.45it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  77%|███████▋  | 77/100 [00:23<00:06,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  78%|███████▊  | 78/100 [00:23<00:06,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  79%|███████▉  | 79/100 [00:23<00:06,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  80%|████████  | 80/100 [00:24<00:05,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  81%|████████  | 81/100 [00:24<00:05,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  82%|████████▏ | 82/100 [00:24<00:05,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  83%|████████▎ | 83/100 [00:25<00:04,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  84%|████████▍ | 84/100 [00:25<00:04,  3.43it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  85%|████████▌ | 85/100 [00:25<00:04,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  86%|████████▌ | 86/100 [00:25<00:04,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  87%|████████▋ | 87/100 [00:26<00:03,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  88%|████████▊ | 88/100 [00:26<00:03,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  89%|████████▉ | 89/100 [00:26<00:03,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  90%|█████████ | 90/100 [00:27<00:02,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  91%|█████████ | 91/100 [00:27<00:02,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  92%|█████████▏| 92/100 [00:27<00:02,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  93%|█████████▎| 93/100 [00:27<00:02,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  94%|█████████▍| 94/100 [00:28<00:01,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  95%|█████████▌| 95/100 [00:28<00:01,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  96%|█████████▌| 96/100 [00:28<00:01,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  97%|█████████▋| 97/100 [00:29<00:00,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  98%|█████████▊| 98/100 [00:29<00:00,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000:  99%|█████████▉| 99/100 [00:29<00:00,  3.44it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.07 GiB (GPU 0; 31.75 GiB total capacity; 30.36 GiB already allocated; 39.69 MiB free; 30.64 GiB reserved in total by PyTorch)


Measuring for N=12000: 100%|██████████| 100/100 [00:29<00:00,  3.44it/s][A
Measuring for N=12000: 100%|██████████| 100/100 [00:29<00:00,  3.33it/s]

Bechnmarking num_nodes:  71%|███████▏  | 10/14 [01:35<01:16, 19.06s/it]Non-dynamically creating finetti stuff


Measuring for N=14000:   0%|          | 0/100 [00:00<?, ?it/s][A

Measuring for N=14000:   1%|          | 1/100 [00:00<00:45,  2.18it/s][A

Measuring for N=14000:   2%|▏         | 2/100 [00:00<00:44,  2.19it/s][A

Measuring for N=14000:   3%|▎         | 3/100 [00:01<00:44,  2.19it/s][A

Measuring for N=14000:   4%|▍         | 4/100 [00:01<00:43,  2.19it/s][A

Measuring for N=14000:   5%|▌         | 5/100 [00:02<00:43,  2.19it/s][A

Measuring for N=14000:   6%|▌         | 6/100 [00:02<00:42,  2.19it/s][A

Measuring for N=14000:   7%|▋         | 7/100 [00:03<00:42,  2.18it/s][A

Measuring for N=14000:   8%|▊         | 8/100 [00:03<00:42,  2.18it/s][A

Measuring for N=14000:   9%|▉         | 9/100 [00:04<00:41,  2.18it/s][A

Measuring for N=14000:  10%|█         | 10/100 [00:04<00:41,  2.18it/s][A

Measuring for N=14000:  11%|█         | 11/100 [00:05<00:40,  2.19it/s][A

Measuring for N=14000:  12%|█▏        | 12/100 [00:05<00:40,  2.19it/s][A

Measuring for N=14000:  13%|█▎        | 13/100 [00:05<00:40,  2.14it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)
Caught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  15%|█▌        | 15/100 [00:06<00:33,  2.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  16%|█▌        | 16/100 [00:06<00:32,  2.55it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  17%|█▋        | 17/100 [00:07<00:32,  2.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  18%|█▊        | 18/100 [00:07<00:31,  2.59it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  19%|█▉        | 19/100 [00:07<00:31,  2.59it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  20%|██        | 20/100 [00:08<00:30,  2.60it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  21%|██        | 21/100 [00:08<00:30,  2.61it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  22%|██▏       | 22/100 [00:09<00:29,  2.61it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  23%|██▎       | 23/100 [00:09<00:29,  2.61it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  24%|██▍       | 24/100 [00:09<00:29,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  25%|██▌       | 25/100 [00:10<00:28,  2.61it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  26%|██▌       | 26/100 [00:10<00:28,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  27%|██▋       | 27/100 [00:11<00:27,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  28%|██▊       | 28/100 [00:11<00:27,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  29%|██▉       | 29/100 [00:11<00:27,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  30%|███       | 30/100 [00:12<00:26,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  31%|███       | 31/100 [00:12<00:26,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  32%|███▏      | 32/100 [00:12<00:25,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  33%|███▎      | 33/100 [00:13<00:25,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  34%|███▍      | 34/100 [00:13<00:25,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  35%|███▌      | 35/100 [00:14<00:24,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  36%|███▌      | 36/100 [00:14<00:24,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  37%|███▋      | 37/100 [00:14<00:24,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  38%|███▊      | 38/100 [00:15<00:23,  2.61it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  39%|███▉      | 39/100 [00:15<00:23,  2.61it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  40%|████      | 40/100 [00:15<00:22,  2.61it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  41%|████      | 41/100 [00:16<00:22,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  42%|████▏     | 42/100 [00:16<00:22,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  43%|████▎     | 43/100 [00:17<00:21,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  44%|████▍     | 44/100 [00:17<00:21,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  45%|████▌     | 45/100 [00:17<00:21,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  46%|████▌     | 46/100 [00:18<00:20,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  47%|████▋     | 47/100 [00:18<00:20,  2.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  48%|████▊     | 48/100 [00:19<00:20,  2.55it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  49%|████▉     | 49/100 [00:19<00:20,  2.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  50%|█████     | 50/100 [00:19<00:20,  2.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  51%|█████     | 51/100 [00:20<00:19,  2.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  52%|█████▏    | 52/100 [00:20<00:19,  2.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  53%|█████▎    | 53/100 [00:21<00:18,  2.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  54%|█████▍    | 54/100 [00:21<00:18,  2.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  55%|█████▌    | 55/100 [00:21<00:17,  2.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  56%|█████▌    | 56/100 [00:22<00:17,  2.53it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  57%|█████▋    | 57/100 [00:22<00:16,  2.54it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  58%|█████▊    | 58/100 [00:23<00:16,  2.56it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  59%|█████▉    | 59/100 [00:23<00:15,  2.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  60%|██████    | 60/100 [00:23<00:15,  2.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  61%|██████    | 61/100 [00:24<00:15,  2.59it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  62%|██████▏   | 62/100 [00:24<00:14,  2.59it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  63%|██████▎   | 63/100 [00:24<00:14,  2.60it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  64%|██████▍   | 64/100 [00:25<00:13,  2.60it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  65%|██████▌   | 65/100 [00:25<00:13,  2.61it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  66%|██████▌   | 66/100 [00:26<00:13,  2.61it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  67%|██████▋   | 67/100 [00:26<00:12,  2.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  68%|██████▊   | 68/100 [00:26<00:12,  2.53it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  69%|██████▉   | 69/100 [00:27<00:12,  2.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  70%|███████   | 70/100 [00:27<00:11,  2.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  71%|███████   | 71/100 [00:28<00:11,  2.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  72%|███████▏  | 72/100 [00:28<00:11,  2.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  73%|███████▎  | 73/100 [00:28<00:10,  2.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  74%|███████▍  | 74/100 [00:29<00:10,  2.53it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  75%|███████▌  | 75/100 [00:29<00:09,  2.54it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  76%|███████▌  | 76/100 [00:30<00:09,  2.55it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  77%|███████▋  | 77/100 [00:30<00:09,  2.55it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  78%|███████▊  | 78/100 [00:30<00:08,  2.56it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  79%|███████▉  | 79/100 [00:31<00:08,  2.56it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  80%|████████  | 80/100 [00:31<00:07,  2.56it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  81%|████████  | 81/100 [00:32<00:07,  2.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  82%|████████▏ | 82/100 [00:32<00:06,  2.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  83%|████████▎ | 83/100 [00:32<00:06,  2.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  84%|████████▍ | 84/100 [00:33<00:06,  2.59it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  85%|████████▌ | 85/100 [00:33<00:05,  2.56it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  86%|████████▌ | 86/100 [00:34<00:05,  2.53it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  87%|████████▋ | 87/100 [00:34<00:05,  2.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  88%|████████▊ | 88/100 [00:34<00:04,  2.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  89%|████████▉ | 89/100 [00:35<00:04,  2.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  90%|█████████ | 90/100 [00:35<00:03,  2.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  91%|█████████ | 91/100 [00:35<00:03,  2.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  92%|█████████▏| 92/100 [00:36<00:03,  2.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  93%|█████████▎| 93/100 [00:36<00:02,  2.54it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  94%|█████████▍| 94/100 [00:37<00:02,  2.56it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  95%|█████████▌| 95/100 [00:37<00:01,  2.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  96%|█████████▌| 96/100 [00:37<00:01,  2.57it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  97%|█████████▋| 97/100 [00:38<00:01,  2.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  98%|█████████▊| 98/100 [00:38<00:00,  2.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000:  99%|█████████▉| 99/100 [00:39<00:00,  2.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.46 GiB (GPU 0; 31.75 GiB total capacity; 29.46 GiB already allocated; 925.69 MiB free; 29.77 GiB reserved in total by PyTorch)


Measuring for N=14000: 100%|██████████| 100/100 [00:39<00:00,  2.48it/s][A
Measuring for N=14000: 100%|██████████| 100/100 [00:39<00:00,  2.53it/s]

Bechnmarking num_nodes:  79%|███████▊  | 11/14 [02:20<01:20, 26.73s/it]Non-dynamically creating finetti stuff


Measuring for N=16000:   0%|          | 0/100 [00:00<?, ?it/s][A

Measuring for N=16000:   1%|          | 1/100 [00:00<01:00,  1.64it/s][A

Measuring for N=16000:   2%|▏         | 2/100 [00:01<00:59,  1.64it/s][A

Measuring for N=16000:   3%|▎         | 3/100 [00:01<00:59,  1.64it/s][A

Measuring for N=16000:   4%|▍         | 4/100 [00:02<00:58,  1.64it/s][A

Measuring for N=16000:   5%|▌         | 5/100 [00:03<00:58,  1.62it/s][A

Measuring for N=16000:   6%|▌         | 6/100 [00:03<00:58,  1.60it/s][A

Measuring for N=16000:   7%|▋         | 7/100 [00:04<00:58,  1.60it/s][A

Measuring for N=16000:   8%|▊         | 8/100 [00:04<00:57,  1.61it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:   9%|▉         | 9/100 [00:05<00:57,  1.59it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)
Caught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  11%|█         | 11/100 [00:06<00:46,  1.92it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  12%|█▏        | 12/100 [00:06<00:45,  1.93it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  13%|█▎        | 13/100 [00:07<00:44,  1.94it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  14%|█▍        | 14/100 [00:07<00:44,  1.94it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  15%|█▌        | 15/100 [00:08<00:44,  1.90it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  16%|█▌        | 16/100 [00:08<00:44,  1.88it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  17%|█▋        | 17/100 [00:09<00:44,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  18%|█▊        | 18/100 [00:09<00:44,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  19%|█▉        | 19/100 [00:10<00:43,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  20%|██        | 20/100 [00:10<00:42,  1.87it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  21%|██        | 21/100 [00:11<00:42,  1.88it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  22%|██▏       | 22/100 [00:11<00:41,  1.89it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  23%|██▎       | 23/100 [00:12<00:40,  1.90it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  24%|██▍       | 24/100 [00:13<00:39,  1.90it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  25%|██▌       | 25/100 [00:13<00:39,  1.88it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  26%|██▌       | 26/100 [00:14<00:39,  1.87it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  27%|██▋       | 27/100 [00:14<00:39,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  28%|██▊       | 28/100 [00:15<00:38,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  29%|██▉       | 29/100 [00:15<00:38,  1.87it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  30%|███       | 30/100 [00:16<00:37,  1.87it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  31%|███       | 31/100 [00:16<00:37,  1.84it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  32%|███▏      | 32/100 [00:17<00:37,  1.83it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  33%|███▎      | 33/100 [00:17<00:36,  1.83it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  34%|███▍      | 34/100 [00:18<00:35,  1.84it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  35%|███▌      | 35/100 [00:18<00:34,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  36%|███▌      | 36/100 [00:19<00:34,  1.87it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  37%|███▋      | 37/100 [00:20<00:33,  1.89it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  38%|███▊      | 38/100 [00:20<00:32,  1.90it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  39%|███▉      | 39/100 [00:21<00:32,  1.88it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  40%|████      | 40/100 [00:21<00:32,  1.87it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  41%|████      | 41/100 [00:22<00:31,  1.87it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  42%|████▏     | 42/100 [00:22<00:30,  1.88it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  43%|████▎     | 43/100 [00:23<00:30,  1.89it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  44%|████▍     | 44/100 [00:23<00:29,  1.90it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  45%|████▌     | 45/100 [00:24<00:29,  1.87it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  46%|████▌     | 46/100 [00:24<00:29,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  47%|████▋     | 47/100 [00:25<00:28,  1.85it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  48%|████▊     | 48/100 [00:25<00:28,  1.85it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  49%|████▉     | 49/100 [00:26<00:27,  1.85it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  50%|█████     | 50/100 [00:26<00:26,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  51%|█████     | 51/100 [00:27<00:26,  1.88it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  52%|█████▏    | 52/100 [00:28<00:25,  1.89it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  53%|█████▎    | 53/100 [00:28<00:25,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  54%|█████▍    | 54/100 [00:29<00:24,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  55%|█████▌    | 55/100 [00:29<00:24,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  56%|█████▌    | 56/100 [00:30<00:23,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  57%|█████▋    | 57/100 [00:30<00:22,  1.87it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  58%|█████▊    | 58/100 [00:31<00:22,  1.88it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  59%|█████▉    | 59/100 [00:31<00:21,  1.89it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  60%|██████    | 60/100 [00:32<00:21,  1.90it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  61%|██████    | 61/100 [00:32<00:20,  1.91it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  62%|██████▏   | 62/100 [00:33<00:19,  1.91it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  63%|██████▎   | 63/100 [00:33<00:19,  1.91it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  64%|██████▍   | 64/100 [00:34<00:18,  1.91it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  65%|██████▌   | 65/100 [00:34<00:18,  1.89it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  66%|██████▌   | 66/100 [00:35<00:18,  1.87it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  67%|██████▋   | 67/100 [00:35<00:17,  1.87it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  68%|██████▊   | 68/100 [00:36<00:17,  1.88it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  69%|██████▉   | 69/100 [00:37<00:16,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  70%|███████   | 70/100 [00:37<00:16,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  71%|███████   | 71/100 [00:38<00:15,  1.85it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  72%|███████▏  | 72/100 [00:38<00:15,  1.85it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  73%|███████▎  | 73/100 [00:39<00:14,  1.85it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  74%|███████▍  | 74/100 [00:39<00:14,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  75%|███████▌  | 75/100 [00:40<00:13,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  76%|███████▌  | 76/100 [00:40<00:12,  1.87it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  77%|███████▋  | 77/100 [00:41<00:12,  1.89it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  78%|███████▊  | 78/100 [00:41<00:11,  1.85it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  79%|███████▉  | 79/100 [00:42<00:11,  1.84it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  80%|████████  | 80/100 [00:43<00:10,  1.84it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  81%|████████  | 81/100 [00:43<00:10,  1.84it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  82%|████████▏ | 82/100 [00:44<00:09,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  83%|████████▎ | 83/100 [00:44<00:09,  1.88it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  84%|████████▍ | 84/100 [00:45<00:08,  1.89it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  85%|████████▌ | 85/100 [00:45<00:07,  1.89it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  86%|████████▌ | 86/100 [00:46<00:07,  1.89it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  87%|████████▋ | 87/100 [00:46<00:06,  1.89it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  88%|████████▊ | 88/100 [00:47<00:06,  1.90it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  89%|████████▉ | 89/100 [00:47<00:05,  1.91it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  90%|█████████ | 90/100 [00:48<00:05,  1.91it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  91%|█████████ | 91/100 [00:48<00:04,  1.92it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  92%|█████████▏| 92/100 [00:49<00:04,  1.89it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  93%|█████████▎| 93/100 [00:49<00:03,  1.85it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  94%|█████████▍| 94/100 [00:50<00:03,  1.83it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  95%|█████████▌| 95/100 [00:51<00:02,  1.83it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  96%|█████████▌| 96/100 [00:51<00:02,  1.83it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  97%|█████████▋| 97/100 [00:52<00:01,  1.84it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  98%|█████████▊| 98/100 [00:52<00:01,  1.86it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000:  99%|█████████▉| 99/100 [00:53<00:00,  1.87it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 1.91 GiB (GPU 0; 31.75 GiB total capacity; 28.81 GiB already allocated; 1.50 GiB free; 29.18 GiB reserved in total by PyTorch)


Measuring for N=16000: 100%|██████████| 100/100 [00:53<00:00,  1.88it/s][A
Measuring for N=16000: 100%|██████████| 100/100 [00:53<00:00,  1.86it/s]

Bechnmarking num_nodes:  86%|████████▌ | 12/14 [03:20<01:13, 36.85s/it]Non-dynamically creating finetti stuff


Measuring for N=18000:   0%|          | 0/100 [00:00<?, ?it/s][A

Measuring for N=18000:   1%|          | 1/100 [00:00<01:17,  1.27it/s][A

Measuring for N=18000:   2%|▏         | 2/100 [00:01<01:16,  1.28it/s][A

Measuring for N=18000:   3%|▎         | 3/100 [00:02<01:15,  1.29it/s][A

Measuring for N=18000:   4%|▍         | 4/100 [00:03<01:15,  1.27it/s][A

Measuring for N=18000:   5%|▌         | 5/100 [00:03<01:16,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:   6%|▌         | 6/100 [00:04<00:56,  1.67it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:   7%|▋         | 7/100 [00:04<00:57,  1.62it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:   8%|▊         | 8/100 [00:05<00:57,  1.60it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:   9%|▉         | 9/100 [00:06<00:57,  1.58it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  10%|█         | 10/100 [00:06<00:58,  1.54it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  11%|█         | 11/100 [00:07<00:58,  1.53it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  12%|█▏        | 12/100 [00:08<00:57,  1.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  13%|█▎        | 13/100 [00:08<00:57,  1.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  14%|█▍        | 14/100 [00:09<00:56,  1.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  15%|█▌        | 15/100 [00:10<00:55,  1.53it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  16%|█▌        | 16/100 [00:10<00:54,  1.53it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  17%|█▋        | 17/100 [00:11<00:54,  1.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  18%|█▊        | 18/100 [00:12<00:54,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  19%|█▉        | 19/100 [00:12<00:53,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  20%|██        | 20/100 [00:13<00:53,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  21%|██        | 21/100 [00:14<00:52,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  22%|██▏       | 22/100 [00:14<00:51,  1.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  23%|██▎       | 23/100 [00:15<00:51,  1.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  24%|██▍       | 24/100 [00:16<00:50,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  25%|██▌       | 25/100 [00:16<00:49,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  26%|██▌       | 26/100 [00:17<00:49,  1.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  27%|██▋       | 27/100 [00:18<00:48,  1.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  28%|██▊       | 28/100 [00:18<00:47,  1.53it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  29%|██▉       | 29/100 [00:19<00:46,  1.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  30%|███       | 30/100 [00:19<00:46,  1.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  31%|███       | 31/100 [00:20<00:46,  1.48it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  32%|███▏      | 32/100 [00:21<00:46,  1.47it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  33%|███▎      | 33/100 [00:22<00:45,  1.47it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  34%|███▍      | 34/100 [00:22<00:44,  1.48it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  35%|███▌      | 35/100 [00:23<00:43,  1.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  36%|███▌      | 36/100 [00:24<00:42,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  37%|███▋      | 37/100 [00:24<00:41,  1.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  38%|███▊      | 38/100 [00:25<00:40,  1.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  39%|███▉      | 39/100 [00:25<00:39,  1.53it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  40%|████      | 40/100 [00:26<00:39,  1.53it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  41%|████      | 41/100 [00:27<00:38,  1.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  42%|████▏     | 42/100 [00:27<00:38,  1.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  43%|████▎     | 43/100 [00:28<00:37,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  44%|████▍     | 44/100 [00:29<00:37,  1.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  45%|████▌     | 45/100 [00:30<00:37,  1.47it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  46%|████▌     | 46/100 [00:30<00:36,  1.47it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  47%|████▋     | 47/100 [00:31<00:35,  1.47it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  48%|████▊     | 48/100 [00:32<00:35,  1.48it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  49%|████▉     | 49/100 [00:32<00:34,  1.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  50%|█████     | 50/100 [00:33<00:33,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  51%|█████     | 51/100 [00:34<00:32,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  52%|█████▏    | 52/100 [00:34<00:31,  1.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  53%|█████▎    | 53/100 [00:35<00:30,  1.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  54%|█████▍    | 54/100 [00:36<00:30,  1.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  55%|█████▌    | 55/100 [00:36<00:30,  1.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  56%|█████▌    | 56/100 [00:37<00:29,  1.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  57%|█████▋    | 57/100 [00:38<00:28,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  58%|█████▊    | 58/100 [00:38<00:27,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  59%|█████▉    | 59/100 [00:39<00:27,  1.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  60%|██████    | 60/100 [00:40<00:26,  1.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  61%|██████    | 61/100 [00:40<00:25,  1.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  62%|██████▏   | 62/100 [00:41<00:25,  1.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  63%|██████▎   | 63/100 [00:42<00:24,  1.48it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  64%|██████▍   | 64/100 [00:42<00:24,  1.48it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  65%|██████▌   | 65/100 [00:43<00:23,  1.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  66%|██████▌   | 66/100 [00:44<00:22,  1.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  67%|██████▋   | 67/100 [00:44<00:22,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  68%|██████▊   | 68/100 [00:45<00:21,  1.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  69%|██████▉   | 69/100 [00:46<00:20,  1.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  70%|███████   | 70/100 [00:46<00:19,  1.53it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  71%|███████   | 71/100 [00:47<00:18,  1.53it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  72%|███████▏  | 72/100 [00:47<00:18,  1.54it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  73%|███████▎  | 73/100 [00:48<00:17,  1.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  74%|███████▍  | 74/100 [00:49<00:17,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  75%|███████▌  | 75/100 [00:49<00:16,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  76%|███████▌  | 76/100 [00:50<00:16,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  77%|███████▋  | 77/100 [00:51<00:15,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  78%|███████▊  | 78/100 [00:52<00:14,  1.48it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  79%|███████▉  | 79/100 [00:52<00:14,  1.47it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  80%|████████  | 80/100 [00:53<00:13,  1.48it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  81%|████████  | 81/100 [00:54<00:12,  1.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  82%|████████▏ | 82/100 [00:54<00:12,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  83%|████████▎ | 83/100 [00:55<00:11,  1.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  84%|████████▍ | 84/100 [00:56<00:10,  1.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  85%|████████▌ | 85/100 [00:56<00:09,  1.53it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  86%|████████▌ | 86/100 [00:57<00:09,  1.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  87%|████████▋ | 87/100 [00:58<00:08,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  88%|████████▊ | 88/100 [00:58<00:08,  1.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  89%|████████▉ | 89/100 [00:59<00:07,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  90%|█████████ | 90/100 [01:00<00:06,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  91%|█████████ | 91/100 [01:00<00:06,  1.48it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  92%|█████████▏| 92/100 [01:01<00:05,  1.48it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  93%|█████████▎| 93/100 [01:02<00:04,  1.49it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  94%|█████████▍| 94/100 [01:02<00:04,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  95%|█████████▌| 95/100 [01:03<00:03,  1.50it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  96%|█████████▌| 96/100 [01:04<00:02,  1.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  97%|█████████▋| 97/100 [01:04<00:01,  1.51it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  98%|█████████▊| 98/100 [01:05<00:01,  1.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000:  99%|█████████▉| 99/100 [01:05<00:00,  1.52it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.41 GiB (GPU 0; 31.75 GiB total capacity; 29.11 GiB already allocated; 1.15 GiB free; 29.52 GiB reserved in total by PyTorch)


Measuring for N=18000: 100%|██████████| 100/100 [01:06<00:00,  1.53it/s][A
Measuring for N=18000: 100%|██████████| 100/100 [01:06<00:00,  1.50it/s]

Bechnmarking num_nodes:  93%|█████████▎| 13/14 [04:35<00:48, 48.38s/it]Non-dynamically creating finetti stuff


Measuring for N=20000:   0%|          | 0/100 [00:00<?, ?it/s][A

Measuring for N=20000:   1%|          | 1/100 [00:00<01:33,  1.06it/s][A

Measuring for N=20000:   2%|▏         | 2/100 [00:01<01:33,  1.05it/s][A

Measuring for N=20000:   3%|▎         | 3/100 [00:02<01:34,  1.03it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:   4%|▍         | 4/100 [00:03<01:32,  1.04it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:   6%|▌         | 6/100 [00:04<01:14,  1.27it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:   7%|▋         | 7/100 [00:05<01:14,  1.25it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:   8%|▊         | 8/100 [00:06<01:13,  1.25it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:   9%|▉         | 9/100 [00:07<01:13,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  10%|█         | 10/100 [00:07<01:12,  1.24it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  11%|█         | 11/100 [00:08<01:11,  1.25it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  12%|█▏        | 12/100 [00:09<01:10,  1.25it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  13%|█▎        | 13/100 [00:10<01:10,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  14%|█▍        | 14/100 [00:11<01:09,  1.23it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  15%|█▌        | 15/100 [00:11<01:08,  1.24it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  16%|█▌        | 16/100 [00:12<01:08,  1.22it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  17%|█▋        | 17/100 [00:13<01:07,  1.23it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  18%|█▊        | 18/100 [00:14<01:06,  1.23it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  19%|█▉        | 19/100 [00:15<01:05,  1.24it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  20%|██        | 20/100 [00:15<01:04,  1.24it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  21%|██        | 21/100 [00:16<01:03,  1.25it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  22%|██▏       | 22/100 [00:17<01:02,  1.25it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  23%|██▎       | 23/100 [00:18<01:01,  1.26it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  24%|██▍       | 24/100 [00:19<01:00,  1.25it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  25%|██▌       | 25/100 [00:19<01:00,  1.25it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  26%|██▌       | 26/100 [00:20<00:59,  1.25it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  27%|██▋       | 27/100 [00:21<00:58,  1.25it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  28%|██▊       | 28/100 [00:22<00:57,  1.25it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  29%|██▉       | 29/100 [00:23<00:56,  1.25it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  30%|███       | 30/100 [00:23<00:55,  1.26it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  31%|███       | 31/100 [00:24<00:55,  1.23it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  32%|███▏      | 32/100 [00:25<00:55,  1.23it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  33%|███▎      | 33/100 [00:26<00:54,  1.23it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  34%|███▍      | 34/100 [00:27<00:53,  1.24it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  35%|███▌      | 35/100 [00:28<00:52,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  36%|███▌      | 36/100 [00:28<00:51,  1.25it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  37%|███▋      | 37/100 [00:29<00:51,  1.23it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  38%|███▊      | 38/100 [00:30<00:50,  1.23it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  39%|███▉      | 39/100 [00:31<00:49,  1.24it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  40%|████      | 40/100 [00:32<00:49,  1.22it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  41%|████      | 41/100 [00:32<00:48,  1.22it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  42%|████▏     | 42/100 [00:33<00:47,  1.23it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  43%|████▎     | 43/100 [00:34<00:45,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  44%|████▍     | 44/100 [00:35<00:44,  1.25it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  45%|████▌     | 45/100 [00:36<00:43,  1.25it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  46%|████▌     | 46/100 [00:36<00:42,  1.26it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  47%|████▋     | 47/100 [00:37<00:41,  1.27it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  48%|████▊     | 48/100 [00:38<00:41,  1.25it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  49%|████▉     | 49/100 [00:39<00:41,  1.22it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  50%|█████     | 50/100 [00:40<00:41,  1.21it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  51%|█████     | 51/100 [00:41<00:40,  1.22it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  52%|█████▏    | 52/100 [00:41<00:39,  1.23it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  53%|█████▎    | 53/100 [00:42<00:38,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  54%|█████▍    | 54/100 [00:43<00:36,  1.25it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  55%|█████▌    | 55/100 [00:44<00:35,  1.26it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  56%|█████▌    | 56/100 [00:44<00:34,  1.26it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  57%|█████▋    | 57/100 [00:45<00:34,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  58%|█████▊    | 58/100 [00:46<00:34,  1.23it/s][A
Caught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)

Measuring for N=20000:  59%|█████▉    | 59/100 [00:47<00:33,  1.23it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  60%|██████    | 60/100 [00:48<00:32,  1.23it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  61%|██████    | 61/100 [00:49<00:31,  1.23it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  62%|██████▏   | 62/100 [00:49<00:30,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  63%|██████▎   | 63/100 [00:50<00:29,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  64%|██████▍   | 64/100 [00:51<00:28,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  65%|██████▌   | 65/100 [00:52<00:28,  1.23it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  66%|██████▌   | 66/100 [00:53<00:27,  1.22it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  67%|██████▋   | 67/100 [00:53<00:26,  1.23it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  68%|██████▊   | 68/100 [00:54<00:26,  1.23it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  69%|██████▉   | 69/100 [00:55<00:25,  1.20it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  70%|███████   | 70/100 [00:56<00:24,  1.20it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  71%|███████   | 71/100 [00:57<00:23,  1.21it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  72%|███████▏  | 72/100 [00:58<00:22,  1.22it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  73%|███████▎  | 73/100 [00:58<00:22,  1.23it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  74%|███████▍  | 74/100 [00:59<00:21,  1.23it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  75%|███████▌  | 75/100 [01:00<00:20,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  76%|███████▌  | 76/100 [01:01<00:19,  1.21it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  77%|███████▋  | 77/100 [01:02<00:19,  1.20it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  78%|███████▊  | 78/100 [01:03<00:18,  1.21it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  79%|███████▉  | 79/100 [01:03<00:17,  1.22it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  80%|████████  | 80/100 [01:04<00:16,  1.23it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  81%|████████  | 81/100 [01:05<00:15,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  82%|████████▏ | 82/100 [01:06<00:14,  1.25it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  83%|████████▎ | 83/100 [01:06<00:13,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  84%|████████▍ | 84/100 [01:07<00:12,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  85%|████████▌ | 85/100 [01:08<00:12,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  86%|████████▌ | 86/100 [01:09<00:11,  1.22it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  87%|████████▋ | 87/100 [01:10<00:10,  1.22it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  88%|████████▊ | 88/100 [01:11<00:09,  1.23it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  89%|████████▉ | 89/100 [01:11<00:08,  1.23it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  90%|█████████ | 90/100 [01:12<00:08,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  91%|█████████ | 91/100 [01:13<00:07,  1.25it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  92%|█████████▏| 92/100 [01:14<00:06,  1.25it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  93%|█████████▎| 93/100 [01:15<00:05,  1.26it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  94%|█████████▍| 94/100 [01:15<00:04,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  95%|█████████▌| 95/100 [01:16<00:04,  1.23it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  96%|█████████▌| 96/100 [01:17<00:03,  1.23it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  97%|█████████▋| 97/100 [01:18<00:02,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  98%|█████████▊| 98/100 [01:19<00:01,  1.24it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000:  99%|█████████▉| 99/100 [01:19<00:00,  1.25it/s][ACaught and ignoredCUDA out of memory. Tried to allocate 2.98 GiB (GPU 0; 31.75 GiB total capacity; 29.92 GiB already allocated; 331.69 MiB free; 30.35 GiB reserved in total by PyTorch)


Measuring for N=20000: 100%|██████████| 100/100 [01:20<00:00,  1.25it/s][A
Measuring for N=20000: 100%|██████████| 100/100 [01:20<00:00,  1.24it/s]

Bechnmarking num_nodes: 100%|██████████| 14/14 [06:06<00:00, 61.19s/it]
Bechnmarking num_nodes: 100%|██████████| 14/14 [06:06<00:00, 26.21s/it]
/home/krawczuk/anaconda3/envs/graph/lib/python3.7/site-packages/numpy/core/_methods.py:202: RuntimeWarning: invalid value encountered in subtract
  x = asanyarray(arr - arrmean)
/home/krawczuk/anaconda3/envs/graph/lib/python3.7/site-packages/matplotlib/cbook/__init__.py:1128: RuntimeWarning: invalid value encountered in double_scalars
  notch_min = med - 1.57 * iqr / np.sqrt(N)
/home/krawczuk/anaconda3/envs/graph/lib/python3.7/site-packages/matplotlib/cbook/__init__.py:1183: RuntimeWarning: invalid value encountered in double_scalars
  stats['iqr'] = q3 - q1
