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First we must create log and checkpoint folders
./log/2020-06-01T09-32-04-00-exp27-bpe7500-ne-060120-seed10-nonjoint
./checkpoints/2020-06-01T09-32-04-00-exp27-bpe7500-ne-060120-seed10-nonjoint
CUDA device is: 1
Logging output to: ./log/2020-06-01T09-32-04-00-exp27-bpe7500-ne-060120-seed10-nonjoint/baseline_ne_en.log
CUDA device is: 1
Logging output to: ./log/2020-06-01T09-32-04-00-exp27-bpe7500-ne-060120-seed10-nonjoint/baseline_en_ne.log
./evaluate/2020-06-01T19-02-04-00-exp27-bpe7500-ne-060120-seed10-nonjoint
BPE size is: 7500
Saving output to: ./evaluate/2020-06-01T19-02-04-00-exp27-bpe7500-ne-060120-seed10-nonjoint/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-01T09-32-04-00-exp27-bpe7500-ne-060120-seed10-nonjoint/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
BPE size is: 7500
Saving output to: ./evaluate/2020-06-01T19-02-04-00-exp27-bpe7500-ne-060120-seed10-nonjoint/baseline_en_ne.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-01T09-32-04-00-exp27-bpe7500-ne-060120-seed10-nonjoint/checkpoints_en_ne/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
First we must create log and checkpoint folders
./log/2020-06-01T19-03-04-00-exp27-bpe7500-ne-060120-seed11-nonjoint
./checkpoints/2020-06-01T19-03-04-00-exp27-bpe7500-ne-060120-seed11-nonjoint
CUDA device is: 1
Logging output to: ./log/2020-06-01T19-03-04-00-exp27-bpe7500-ne-060120-seed11-nonjoint/baseline_ne_en.log
CUDA device is: 1
Logging output to: ./log/2020-06-01T19-03-04-00-exp27-bpe7500-ne-060120-seed11-nonjoint/baseline_en_ne.log
./evaluate/2020-06-02T04-32-04-00-exp27-bpe7500-ne-060120-seed11-nonjoint
BPE size is: 7500
Saving output to: ./evaluate/2020-06-02T04-32-04-00-exp27-bpe7500-ne-060120-seed11-nonjoint/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-01T19-03-04-00-exp27-bpe7500-ne-060120-seed11-nonjoint/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
BPE size is: 7500
Saving output to: ./evaluate/2020-06-02T04-32-04-00-exp27-bpe7500-ne-060120-seed11-nonjoint/baseline_en_ne.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-01T19-03-04-00-exp27-bpe7500-ne-060120-seed11-nonjoint/checkpoints_en_ne/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
First we must create log and checkpoint folders
./log/2020-06-02T04-33-04-00-exp27-bpe7500-ne-060120-seed12-nonjoint
./checkpoints/2020-06-02T04-33-04-00-exp27-bpe7500-ne-060120-seed12-nonjoint
CUDA device is: 1
Logging output to: ./log/2020-06-02T04-33-04-00-exp27-bpe7500-ne-060120-seed12-nonjoint/baseline_ne_en.log
CUDA device is: 1
Logging output to: ./log/2020-06-02T04-33-04-00-exp27-bpe7500-ne-060120-seed12-nonjoint/baseline_en_ne.log
./evaluate/2020-06-02T13-58-04-00-exp27-bpe7500-ne-060120-seed12-nonjoint
BPE size is: 7500
Saving output to: ./evaluate/2020-06-02T13-58-04-00-exp27-bpe7500-ne-060120-seed12-nonjoint/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-02T04-33-04-00-exp27-bpe7500-ne-060120-seed12-nonjoint/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
BPE size is: 7500
Saving output to: ./evaluate/2020-06-02T13-58-04-00-exp27-bpe7500-ne-060120-seed12-nonjoint/baseline_en_ne.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-02T04-33-04-00-exp27-bpe7500-ne-060120-seed12-nonjoint/checkpoints_en_ne/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
First we must create log and checkpoint folders
./log/2020-06-02T13-59-04-00-exp27-bpe7500-ne-060120-seed13-nonjoint
./checkpoints/2020-06-02T13-59-04-00-exp27-bpe7500-ne-060120-seed13-nonjoint
CUDA device is: 1
Logging output to: ./log/2020-06-02T13-59-04-00-exp27-bpe7500-ne-060120-seed13-nonjoint/baseline_ne_en.log
CUDA device is: 1
Logging output to: ./log/2020-06-02T13-59-04-00-exp27-bpe7500-ne-060120-seed13-nonjoint/baseline_en_ne.log
./evaluate/2020-06-02T23-28-04-00-exp27-bpe7500-ne-060120-seed13-nonjoint
BPE size is: 7500
Saving output to: ./evaluate/2020-06-02T23-28-04-00-exp27-bpe7500-ne-060120-seed13-nonjoint/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-02T13-59-04-00-exp27-bpe7500-ne-060120-seed13-nonjoint/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
BPE size is: 7500
Saving output to: ./evaluate/2020-06-02T23-28-04-00-exp27-bpe7500-ne-060120-seed13-nonjoint/baseline_en_ne.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-02T13-59-04-00-exp27-bpe7500-ne-060120-seed13-nonjoint/checkpoints_en_ne/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
First we must create log and checkpoint folders
./log/2020-06-02T23-29-04-00-exp27-bpe7500-ne-060120-seed14-nonjoint
./checkpoints/2020-06-02T23-29-04-00-exp27-bpe7500-ne-060120-seed14-nonjoint
CUDA device is: 1
Logging output to: ./log/2020-06-02T23-29-04-00-exp27-bpe7500-ne-060120-seed14-nonjoint/baseline_ne_en.log
CUDA device is: 1
Logging output to: ./log/2020-06-02T23-29-04-00-exp27-bpe7500-ne-060120-seed14-nonjoint/baseline_en_ne.log
./evaluate/2020-06-03T08-54-04-00-exp27-bpe7500-ne-060120-seed14-nonjoint
BPE size is: 7500
Saving output to: ./evaluate/2020-06-03T08-54-04-00-exp27-bpe7500-ne-060120-seed14-nonjoint/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-02T23-29-04-00-exp27-bpe7500-ne-060120-seed14-nonjoint/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
BPE size is: 7500
Saving output to: ./evaluate/2020-06-03T08-54-04-00-exp27-bpe7500-ne-060120-seed14-nonjoint/baseline_en_ne.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-02T23-29-04-00-exp27-bpe7500-ne-060120-seed14-nonjoint/checkpoints_en_ne/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
First we must create log and checkpoint folders
./log/2020-06-03T08-56-04-00-exp27-bpe7500-ne-060120-seed15-nonjoint
./checkpoints/2020-06-03T08-56-04-00-exp27-bpe7500-ne-060120-seed15-nonjoint
CUDA device is: 1
Logging output to: ./log/2020-06-03T08-56-04-00-exp27-bpe7500-ne-060120-seed15-nonjoint/baseline_ne_en.log
CUDA device is: 1
Logging output to: ./log/2020-06-03T08-56-04-00-exp27-bpe7500-ne-060120-seed15-nonjoint/baseline_en_ne.log
./evaluate/2020-06-03T18-21-04-00-exp27-bpe7500-ne-060120-seed15-nonjoint
BPE size is: 7500
Saving output to: ./evaluate/2020-06-03T18-21-04-00-exp27-bpe7500-ne-060120-seed15-nonjoint/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-03T08-56-04-00-exp27-bpe7500-ne-060120-seed15-nonjoint/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
BPE size is: 7500
Saving output to: ./evaluate/2020-06-03T18-21-04-00-exp27-bpe7500-ne-060120-seed15-nonjoint/baseline_en_ne.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-03T08-56-04-00-exp27-bpe7500-ne-060120-seed15-nonjoint/checkpoints_en_ne/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
First we must create log and checkpoint folders
./log/2020-06-03T18-22-04-00-exp27-bpe7500-ne-060120-seed16-nonjoint
./checkpoints/2020-06-03T18-22-04-00-exp27-bpe7500-ne-060120-seed16-nonjoint
CUDA device is: 1
Logging output to: ./log/2020-06-03T18-22-04-00-exp27-bpe7500-ne-060120-seed16-nonjoint/baseline_ne_en.log
CUDA device is: 1
Logging output to: ./log/2020-06-03T18-22-04-00-exp27-bpe7500-ne-060120-seed16-nonjoint/baseline_en_ne.log
./evaluate/2020-06-04T03-47-04-00-exp27-bpe7500-ne-060120-seed16-nonjoint
BPE size is: 7500
Saving output to: ./evaluate/2020-06-04T03-47-04-00-exp27-bpe7500-ne-060120-seed16-nonjoint/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-03T18-22-04-00-exp27-bpe7500-ne-060120-seed16-nonjoint/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
BPE size is: 7500
Saving output to: ./evaluate/2020-06-04T03-47-04-00-exp27-bpe7500-ne-060120-seed16-nonjoint/baseline_en_ne.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-03T18-22-04-00-exp27-bpe7500-ne-060120-seed16-nonjoint/checkpoints_en_ne/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
First we must create log and checkpoint folders
./log/2020-06-04T03-48-04-00-exp27-bpe7500-ne-060120-seed17-nonjoint
./checkpoints/2020-06-04T03-48-04-00-exp27-bpe7500-ne-060120-seed17-nonjoint
CUDA device is: 1
Logging output to: ./log/2020-06-04T03-48-04-00-exp27-bpe7500-ne-060120-seed17-nonjoint/baseline_ne_en.log
CUDA device is: 1
Logging output to: ./log/2020-06-04T03-48-04-00-exp27-bpe7500-ne-060120-seed17-nonjoint/baseline_en_ne.log
./evaluate/2020-06-04T13-14-04-00-exp27-bpe7500-ne-060120-seed17-nonjoint
BPE size is: 7500
Saving output to: ./evaluate/2020-06-04T13-14-04-00-exp27-bpe7500-ne-060120-seed17-nonjoint/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-04T03-48-04-00-exp27-bpe7500-ne-060120-seed17-nonjoint/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
BPE size is: 7500
Saving output to: ./evaluate/2020-06-04T13-14-04-00-exp27-bpe7500-ne-060120-seed17-nonjoint/baseline_en_ne.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-04T03-48-04-00-exp27-bpe7500-ne-060120-seed17-nonjoint/checkpoints_en_ne/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
First we must create log and checkpoint folders
./log/2020-06-04T13-15-04-00-exp27-bpe7500-ne-060120-seed18-nonjoint
./checkpoints/2020-06-04T13-15-04-00-exp27-bpe7500-ne-060120-seed18-nonjoint
CUDA device is: 1
Logging output to: ./log/2020-06-04T13-15-04-00-exp27-bpe7500-ne-060120-seed18-nonjoint/baseline_ne_en.log
CUDA device is: 1
Logging output to: ./log/2020-06-04T13-15-04-00-exp27-bpe7500-ne-060120-seed18-nonjoint/baseline_en_ne.log
./evaluate/2020-06-04T22-46-04-00-exp27-bpe7500-ne-060120-seed18-nonjoint
BPE size is: 7500
Saving output to: ./evaluate/2020-06-04T22-46-04-00-exp27-bpe7500-ne-060120-seed18-nonjoint/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-04T13-15-04-00-exp27-bpe7500-ne-060120-seed18-nonjoint/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
BPE size is: 7500
Saving output to: ./evaluate/2020-06-04T22-46-04-00-exp27-bpe7500-ne-060120-seed18-nonjoint/baseline_en_ne.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-04T13-15-04-00-exp27-bpe7500-ne-060120-seed18-nonjoint/checkpoints_en_ne/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
First we must create log and checkpoint folders
./log/2020-06-04T22-47-04-00-exp27-bpe7500-ne-060120-seed19-nonjoint
./checkpoints/2020-06-04T22-47-04-00-exp27-bpe7500-ne-060120-seed19-nonjoint
CUDA device is: 1
Logging output to: ./log/2020-06-04T22-47-04-00-exp27-bpe7500-ne-060120-seed19-nonjoint/baseline_ne_en.log
CUDA device is: 1
Logging output to: ./log/2020-06-04T22-47-04-00-exp27-bpe7500-ne-060120-seed19-nonjoint/baseline_en_ne.log
./evaluate/2020-06-05T08-14-04-00-exp27-bpe7500-ne-060120-seed19-nonjoint
BPE size is: 7500
Saving output to: ./evaluate/2020-06-05T08-14-04-00-exp27-bpe7500-ne-060120-seed19-nonjoint/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-04T22-47-04-00-exp27-bpe7500-ne-060120-seed19-nonjoint/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
BPE size is: 7500
Saving output to: ./evaluate/2020-06-05T08-14-04-00-exp27-bpe7500-ne-060120-seed19-nonjoint/baseline_en_ne.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-04T22-47-04-00-exp27-bpe7500-ne-060120-seed19-nonjoint/checkpoints_en_ne/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe7500_nonjoint/
About to evaluate...
./log/2020-06-18T10-51-04-00-exp28-bpe5000-lowercase-ne-seed10-lowercase
./checkpoints/2020-06-18T10-51-04-00-exp28-bpe5000-lowercase-ne-seed10-lowercase
CUDA device is: 1
Logging output to: ./log/2020-06-18T10-51-04-00-exp28-bpe5000-lowercase-ne-seed10-lowercase/baseline_ne_en.log
./evaluate/2020-06-18T18-48-04-00-exp28-bpe5000-lowercase-ne-seed10-lowercase
BPE size is: 5000
Saving output to: ./evaluate/2020-06-18T18-48-04-00-exp28-bpe5000-lowercase-ne-seed10-lowercase/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-18T10-51-04-00-exp28-bpe5000-lowercase-ne-seed10-lowercase/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe5000_lowercase/
About to evaluate...
./log/2020-06-18T18-49-04-00-exp28-bpe5000-lowercase-ne-seed11-lowercase
./checkpoints/2020-06-18T18-49-04-00-exp28-bpe5000-lowercase-ne-seed11-lowercase
CUDA device is: 1
Logging output to: ./log/2020-06-18T18-49-04-00-exp28-bpe5000-lowercase-ne-seed11-lowercase/baseline_ne_en.log
./evaluate/2020-06-19T02-46-04-00-exp28-bpe5000-lowercase-ne-seed11-lowercase
BPE size is: 5000
Saving output to: ./evaluate/2020-06-19T02-46-04-00-exp28-bpe5000-lowercase-ne-seed11-lowercase/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-18T18-49-04-00-exp28-bpe5000-lowercase-ne-seed11-lowercase/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe5000_lowercase/
About to evaluate...
./log/2020-06-19T02-47-04-00-exp28-bpe5000-lowercase-ne-seed12-lowercase
./checkpoints/2020-06-19T02-47-04-00-exp28-bpe5000-lowercase-ne-seed12-lowercase
CUDA device is: 1
Logging output to: ./log/2020-06-19T02-47-04-00-exp28-bpe5000-lowercase-ne-seed12-lowercase/baseline_ne_en.log
./evaluate/2020-06-19T10-45-04-00-exp28-bpe5000-lowercase-ne-seed12-lowercase
BPE size is: 5000
Saving output to: ./evaluate/2020-06-19T10-45-04-00-exp28-bpe5000-lowercase-ne-seed12-lowercase/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-19T02-47-04-00-exp28-bpe5000-lowercase-ne-seed12-lowercase/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe5000_lowercase/
About to evaluate...
./log/2020-06-19T10-45-04-00-exp28-bpe5000-lowercase-ne-seed13-lowercase
./checkpoints/2020-06-19T10-45-04-00-exp28-bpe5000-lowercase-ne-seed13-lowercase
CUDA device is: 1
Logging output to: ./log/2020-06-19T10-45-04-00-exp28-bpe5000-lowercase-ne-seed13-lowercase/baseline_ne_en.log
./evaluate/2020-06-19T18-43-04-00-exp28-bpe5000-lowercase-ne-seed13-lowercase
BPE size is: 5000
Saving output to: ./evaluate/2020-06-19T18-43-04-00-exp28-bpe5000-lowercase-ne-seed13-lowercase/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-19T10-45-04-00-exp28-bpe5000-lowercase-ne-seed13-lowercase/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe5000_lowercase/
About to evaluate...
./log/2020-06-19T18-43-04-00-exp28-bpe5000-lowercase-ne-seed14-lowercase
./checkpoints/2020-06-19T18-43-04-00-exp28-bpe5000-lowercase-ne-seed14-lowercase
CUDA device is: 1
Logging output to: ./log/2020-06-19T18-43-04-00-exp28-bpe5000-lowercase-ne-seed14-lowercase/baseline_ne_en.log
./evaluate/2020-06-20T02-41-04-00-exp28-bpe5000-lowercase-ne-seed14-lowercase
BPE size is: 5000
Saving output to: ./evaluate/2020-06-20T02-41-04-00-exp28-bpe5000-lowercase-ne-seed14-lowercase/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-06-19T18-43-04-00-exp28-bpe5000-lowercase-ne-seed14-lowercase/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe5000_lowercase/
About to evaluate...
./log/2020-07-10T01-58-04-00-exp333-bpe5000-lowercase-ne-seed10-lowercase
./checkpoints/2020-07-10T01-58-04-00-exp333-bpe5000-lowercase-ne-seed10-lowercase
CUDA device is: 1
Logging output to: ./log/2020-07-10T01-58-04-00-exp333-bpe5000-lowercase-ne-seed10-lowercase/baseline_ne_en.log
./log/2020-07-10T01-58-04-00-exp333-bpe5000-lowercase-si-seed10-lowercase
./checkpoints/2020-07-10T01-58-04-00-exp333-bpe5000-lowercase-si-seed10-lowercase
CUDA device is: 2
Logging output to: ./log/2020-07-10T01-58-04-00-exp333-bpe5000-lowercase-si-seed10-lowercase/baseline_si_en.log
CUDA device is: 2
Logging output to: ./log/2020-07-10T01-58-04-00-exp333-bpe5000-lowercase-si-seed10-lowercase/baseline_en_si.log
CUDA device is: 1
Logging output to: ./log/2020-07-10T01-58-04-00-exp333-bpe5000-lowercase-ne-seed10-lowercase/baseline_en_ne.log
./evaluate/2020-07-10T13-54-04-00-exp333-bpe5000-lowercase-si-seed10-lowercase
BPE size is: 5000
Saving output to: ./evaluate/2020-07-10T13-54-04-00-exp333-bpe5000-lowercase-si-seed10-lowercase/baseline_si_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-10T01-58-04-00-exp333-bpe5000-lowercase-si-seed10-lowercase/checkpoints_si_en/checkpoint_best.pt
Data folder is: data-bin/wiki_si_en_bpe5000_lowercase/
About to evaluate...
BPE size is: 5000
Saving output to: ./evaluate/2020-07-10T13-54-04-00-exp333-bpe5000-lowercase-si-seed10-lowercase/baseline_en_si.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-10T01-58-04-00-exp333-bpe5000-lowercase-si-seed10-lowercase/checkpoints_en_si/checkpoint_best.pt
Data folder is: data-bin/wiki_si_en_bpe5000_lowercase/
About to evaluate...
./log/2020-07-10T13-55-04-00-exp333-bpe5000-lowercase-si-seed11-lowercase
./checkpoints/2020-07-10T13-55-04-00-exp333-bpe5000-lowercase-si-seed11-lowercase
CUDA device is: 2
Logging output to: ./log/2020-07-10T13-55-04-00-exp333-bpe5000-lowercase-si-seed11-lowercase/baseline_si_en.log
./evaluate/2020-07-10T17-48-04-00-exp333-bpe5000-lowercase-ne-seed10-lowercase
BPE size is: 5000
Saving output to: ./evaluate/2020-07-10T17-48-04-00-exp333-bpe5000-lowercase-ne-seed10-lowercase/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-10T01-58-04-00-exp333-bpe5000-lowercase-ne-seed10-lowercase/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe5000_lowercase/
About to evaluate...
BPE size is: 5000
Saving output to: ./evaluate/2020-07-10T17-48-04-00-exp333-bpe5000-lowercase-ne-seed10-lowercase/baseline_en_ne.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-10T01-58-04-00-exp333-bpe5000-lowercase-ne-seed10-lowercase/checkpoints_en_ne/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe5000_lowercase/
About to evaluate...
./log/2020-07-10T17-49-04-00-exp333-bpe5000-lowercase-ne-seed11-lowercase
./checkpoints/2020-07-10T17-49-04-00-exp333-bpe5000-lowercase-ne-seed11-lowercase
CUDA device is: 1
Logging output to: ./log/2020-07-10T17-49-04-00-exp333-bpe5000-lowercase-ne-seed11-lowercase/baseline_ne_en.log
CUDA device is: 2
Logging output to: ./log/2020-07-10T13-55-04-00-exp333-bpe5000-lowercase-si-seed11-lowercase/baseline_en_si.log
CUDA device is: 1
Logging output to: ./log/2020-07-10T17-49-04-00-exp333-bpe5000-lowercase-ne-seed11-lowercase/baseline_en_ne.log
./evaluate/2020-07-11T01-49-04-00-exp333-bpe5000-lowercase-si-seed11-lowercase
BPE size is: 5000
Saving output to: ./evaluate/2020-07-11T01-49-04-00-exp333-bpe5000-lowercase-si-seed11-lowercase/baseline_si_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-10T13-55-04-00-exp333-bpe5000-lowercase-si-seed11-lowercase/checkpoints_si_en/checkpoint_best.pt
Data folder is: data-bin/wiki_si_en_bpe5000_lowercase/
About to evaluate...
BPE size is: 5000
Saving output to: ./evaluate/2020-07-11T01-49-04-00-exp333-bpe5000-lowercase-si-seed11-lowercase/baseline_en_si.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-10T13-55-04-00-exp333-bpe5000-lowercase-si-seed11-lowercase/checkpoints_en_si/checkpoint_best.pt
Data folder is: data-bin/wiki_si_en_bpe5000_lowercase/
About to evaluate...
./log/2020-07-11T01-50-04-00-exp333-bpe5000-lowercase-si-seed12-lowercase
./checkpoints/2020-07-11T01-50-04-00-exp333-bpe5000-lowercase-si-seed12-lowercase
CUDA device is: 2
Logging output to: ./log/2020-07-11T01-50-04-00-exp333-bpe5000-lowercase-si-seed12-lowercase/baseline_si_en.log
CUDA device is: 2
Logging output to: ./log/2020-07-11T01-50-04-00-exp333-bpe5000-lowercase-si-seed12-lowercase/baseline_en_si.log
./evaluate/2020-07-11T09-40-04-00-exp333-bpe5000-lowercase-ne-seed11-lowercase
BPE size is: 5000
Saving output to: ./evaluate/2020-07-11T09-40-04-00-exp333-bpe5000-lowercase-ne-seed11-lowercase/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-10T17-49-04-00-exp333-bpe5000-lowercase-ne-seed11-lowercase/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe5000_lowercase/
About to evaluate...
BPE size is: 5000
Saving output to: ./evaluate/2020-07-11T09-40-04-00-exp333-bpe5000-lowercase-ne-seed11-lowercase/baseline_en_ne.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-10T17-49-04-00-exp333-bpe5000-lowercase-ne-seed11-lowercase/checkpoints_en_ne/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe5000_lowercase/
About to evaluate...
./log/2020-07-11T09-41-04-00-exp333-bpe5000-lowercase-ne-seed12-lowercase
./checkpoints/2020-07-11T09-41-04-00-exp333-bpe5000-lowercase-ne-seed12-lowercase
CUDA device is: 1
Logging output to: ./log/2020-07-11T09-41-04-00-exp333-bpe5000-lowercase-ne-seed12-lowercase/baseline_ne_en.log
./evaluate/2020-07-11T13-49-04-00-exp333-bpe5000-lowercase-si-seed12-lowercase
BPE size is: 5000
Saving output to: ./evaluate/2020-07-11T13-49-04-00-exp333-bpe5000-lowercase-si-seed12-lowercase/baseline_si_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-11T01-50-04-00-exp333-bpe5000-lowercase-si-seed12-lowercase/checkpoints_si_en/checkpoint_best.pt
Data folder is: data-bin/wiki_si_en_bpe5000_lowercase/
About to evaluate...
BPE size is: 5000
Saving output to: ./evaluate/2020-07-11T13-49-04-00-exp333-bpe5000-lowercase-si-seed12-lowercase/baseline_en_si.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-11T01-50-04-00-exp333-bpe5000-lowercase-si-seed12-lowercase/checkpoints_en_si/checkpoint_best.pt
Data folder is: data-bin/wiki_si_en_bpe5000_lowercase/
About to evaluate...
./log/2020-07-11T13-50-04-00-exp333-bpe5000-lowercase-si-seed13-lowercase
./checkpoints/2020-07-11T13-50-04-00-exp333-bpe5000-lowercase-si-seed13-lowercase
CUDA device is: 2
Logging output to: ./log/2020-07-11T13-50-04-00-exp333-bpe5000-lowercase-si-seed13-lowercase/baseline_si_en.log
CUDA device is: 1
Logging output to: ./log/2020-07-11T09-41-04-00-exp333-bpe5000-lowercase-ne-seed12-lowercase/baseline_en_ne.log
CUDA device is: 2
Logging output to: ./log/2020-07-11T13-50-04-00-exp333-bpe5000-lowercase-si-seed13-lowercase/baseline_en_si.log
./evaluate/2020-07-12T01-28-04-00-exp333-bpe5000-lowercase-ne-seed12-lowercase
BPE size is: 5000
Saving output to: ./evaluate/2020-07-12T01-28-04-00-exp333-bpe5000-lowercase-ne-seed12-lowercase/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-11T09-41-04-00-exp333-bpe5000-lowercase-ne-seed12-lowercase/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe5000_lowercase/
About to evaluate...
BPE size is: 5000
Saving output to: ./evaluate/2020-07-12T01-28-04-00-exp333-bpe5000-lowercase-ne-seed12-lowercase/baseline_en_ne.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-11T09-41-04-00-exp333-bpe5000-lowercase-ne-seed12-lowercase/checkpoints_en_ne/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe5000_lowercase/
About to evaluate...
./log/2020-07-12T01-29-04-00-exp333-bpe5000-lowercase-ne-seed13-lowercase
./checkpoints/2020-07-12T01-29-04-00-exp333-bpe5000-lowercase-ne-seed13-lowercase
CUDA device is: 1
Logging output to: ./log/2020-07-12T01-29-04-00-exp333-bpe5000-lowercase-ne-seed13-lowercase/baseline_ne_en.log
./evaluate/2020-07-12T01-45-04-00-exp333-bpe5000-lowercase-si-seed13-lowercase
BPE size is: 5000
Saving output to: ./evaluate/2020-07-12T01-45-04-00-exp333-bpe5000-lowercase-si-seed13-lowercase/baseline_si_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-11T13-50-04-00-exp333-bpe5000-lowercase-si-seed13-lowercase/checkpoints_si_en/checkpoint_best.pt
Data folder is: data-bin/wiki_si_en_bpe5000_lowercase/
About to evaluate...
BPE size is: 5000
Saving output to: ./evaluate/2020-07-12T01-45-04-00-exp333-bpe5000-lowercase-si-seed13-lowercase/baseline_en_si.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-11T13-50-04-00-exp333-bpe5000-lowercase-si-seed13-lowercase/checkpoints_en_si/checkpoint_best.pt
Data folder is: data-bin/wiki_si_en_bpe5000_lowercase/
About to evaluate...
./log/2020-07-12T01-47-04-00-exp333-bpe5000-lowercase-si-seed14-lowercase
./checkpoints/2020-07-12T01-47-04-00-exp333-bpe5000-lowercase-si-seed14-lowercase
CUDA device is: 2
Logging output to: ./log/2020-07-12T01-47-04-00-exp333-bpe5000-lowercase-si-seed14-lowercase/baseline_si_en.log
CUDA device is: 2
Logging output to: ./log/2020-07-12T01-47-04-00-exp333-bpe5000-lowercase-si-seed14-lowercase/baseline_en_si.log
CUDA device is: 1
Logging output to: ./log/2020-07-12T01-29-04-00-exp333-bpe5000-lowercase-ne-seed13-lowercase/baseline_en_ne.log
./evaluate/2020-07-12T13-42-04-00-exp333-bpe5000-lowercase-si-seed14-lowercase
BPE size is: 5000
Saving output to: ./evaluate/2020-07-12T13-42-04-00-exp333-bpe5000-lowercase-si-seed14-lowercase/baseline_si_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-12T01-47-04-00-exp333-bpe5000-lowercase-si-seed14-lowercase/checkpoints_si_en/checkpoint_best.pt
Data folder is: data-bin/wiki_si_en_bpe5000_lowercase/
About to evaluate...
BPE size is: 5000
Saving output to: ./evaluate/2020-07-12T13-42-04-00-exp333-bpe5000-lowercase-si-seed14-lowercase/baseline_en_si.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-12T01-47-04-00-exp333-bpe5000-lowercase-si-seed14-lowercase/checkpoints_en_si/checkpoint_best.pt
Data folder is: data-bin/wiki_si_en_bpe5000_lowercase/
About to evaluate...
./evaluate/2020-07-12T17-22-04-00-exp333-bpe5000-lowercase-ne-seed13-lowercase
BPE size is: 5000
Saving output to: ./evaluate/2020-07-12T17-22-04-00-exp333-bpe5000-lowercase-ne-seed13-lowercase/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-12T01-29-04-00-exp333-bpe5000-lowercase-ne-seed13-lowercase/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe5000_lowercase/
About to evaluate...
BPE size is: 5000
Saving output to: ./evaluate/2020-07-12T17-22-04-00-exp333-bpe5000-lowercase-ne-seed13-lowercase/baseline_en_ne.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-12T01-29-04-00-exp333-bpe5000-lowercase-ne-seed13-lowercase/checkpoints_en_ne/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe5000_lowercase/
About to evaluate...
./log/2020-07-12T17-23-04-00-exp333-bpe5000-lowercase-ne-seed14-lowercase
./checkpoints/2020-07-12T17-23-04-00-exp333-bpe5000-lowercase-ne-seed14-lowercase
CUDA device is: 1
Logging output to: ./log/2020-07-12T17-23-04-00-exp333-bpe5000-lowercase-ne-seed14-lowercase/baseline_ne_en.log
CUDA device is: 1
Logging output to: ./log/2020-07-12T17-23-04-00-exp333-bpe5000-lowercase-ne-seed14-lowercase/baseline_en_ne.log
./log/2020-07-13T02-42-04-00-exp444-morsel-si-seed10
./checkpoints/2020-07-13T02-42-04-00-exp444-morsel-si-seed10
CUDA device is: 0
Logging output to: ./log/2020-07-13T02-42-04-00-exp444-morsel-si-seed10/baseline_si_en.log
CUDA device is: 0
Logging output to: ./log/2020-07-13T02-42-04-00-exp444-morsel-si-seed10/baseline_en_si.log
./evaluate/2020-07-13T09-35-04-00-exp333-bpe5000-lowercase-ne-seed14-lowercase
BPE size is: 5000
Saving output to: ./evaluate/2020-07-13T09-35-04-00-exp333-bpe5000-lowercase-ne-seed14-lowercase/baseline_ne_en.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-12T17-23-04-00-exp333-bpe5000-lowercase-ne-seed14-lowercase/checkpoints_ne_en/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe5000_lowercase/
About to evaluate...
BPE size is: 5000
Saving output to: ./evaluate/2020-07-13T09-35-04-00-exp333-bpe5000-lowercase-ne-seed14-lowercase/baseline_en_ne.log
CHECKPOINT_PATH is: ./checkpoints/2020-07-12T17-23-04-00-exp333-bpe5000-lowercase-ne-seed14-lowercase/checkpoints_en_ne/checkpoint_best.pt
Data folder is: data-bin/wiki_ne_en_bpe5000_lowercase/
About to evaluate...
./evaluate/2020-07-13T10-20-04-00-exp444-morsel-si-seed10
./log/2020-07-13T10-20-04-00-exp444-morsel-si-seed11
./checkpoints/2020-07-13T10-20-04-00-exp444-morsel-si-seed11
CUDA device is: 0
Logging output to: ./log/2020-07-13T10-20-04-00-exp444-morsel-si-seed11/baseline_si_en.log
./log/2020-07-13T11-31-04-00-exp444-morsel-si-seed10
./checkpoints/2020-07-13T11-31-04-00-exp444-morsel-si-seed10
CUDA device is: 0
Logging output to: ./log/2020-07-13T11-31-04-00-exp444-morsel-si-seed10/baseline_si_en.log
Killed
CUDA device is: 0
Logging output to: ./log/2020-07-13T10-20-04-00-exp444-morsel-si-seed11/baseline_en_si.log
Killed
./evaluate/2020-07-13T11-33-04-00-exp444-morsel-si-seed11
./log/2020-07-13T11-33-04-00-exp444-morsel-si-seed12
./checkpoints/2020-07-13T11-33-04-00-exp444-morsel-si-seed12
CUDA device is: 0
Logging output to: ./log/2020-07-13T11-33-04-00-exp444-morsel-si-seed12/baseline_si_en.log
Killed
CUDA device is: 0
Logging output to: ./log/2020-07-13T11-33-04-00-exp444-morsel-si-seed12/baseline_en_si.log
Killed
./evaluate/2020-07-13T11-33-04-00-exp444-morsel-si-seed12
./log/2020-07-13T11-33-04-00-exp444-morsel-si-seed13
./checkpoints/2020-07-13T11-33-04-00-exp444-morsel-si-seed13
CUDA device is: 0
Logging output to: ./log/2020-07-13T11-33-04-00-exp444-morsel-si-seed13/baseline_si_en.log
Killed
CUDA device is: 0
Logging output to: ./log/2020-07-13T11-33-04-00-exp444-morsel-si-seed13/baseline_en_si.log
Killed
./evaluate/2020-07-13T11-33-04-00-exp444-morsel-si-seed13
./log/2020-07-13T11-33-04-00-exp444-morsel-si-seed14
./checkpoints/2020-07-13T11-33-04-00-exp444-morsel-si-seed14
CUDA device is: 0
Logging output to: ./log/2020-07-13T11-33-04-00-exp444-morsel-si-seed14/baseline_si_en.log
Killed
CUDA device is: 0
Logging output to: ./log/2020-07-13T11-33-04-00-exp444-morsel-si-seed14/baseline_en_si.log
| OOM: Ran out of memory with exception: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 23.65 GiB total capacity; 494.69 MiB already allocated; 13.12 MiB free; 502.00 MiB reserved in total by PyTorch)
|===========================================================================|
| PyTorch CUDA memory summary, device ID 0 |
|---------------------------------------------------------------------------|
| CUDA OOMs: 1 | cudaMalloc retries: 1 |
|===========================================================================|
| Metric | Cur Usage | Peak Usage | Tot Alloc | Tot Freed |
|---------------------------------------------------------------------------|
| Allocated memory | 502688 KB | 506560 KB | 581754 KB | 79066 KB |
| from large pool | 469168 KB | 473040 KB | 547504 KB | 78336 KB |
| from small pool | 33520 KB | 33689 KB | 34250 KB | 730 KB |
|---------------------------------------------------------------------------|
| Active memory | 502688 KB | 506560 KB | 581754 KB | 79066 KB |
| from large pool | 469168 KB | 473040 KB | 547504 KB | 78336 KB |
| from small pool | 33520 KB | 33689 KB | 34250 KB | 730 KB |
|---------------------------------------------------------------------------|
| GPU reserved memory | 514048 KB | 514048 KB | 514048 KB | 0 B |
| from large pool | 479232 KB | 479232 KB | 479232 KB | 0 B |
| from small pool | 34816 KB | 34816 KB | 34816 KB | 0 B |
|---------------------------------------------------------------------------|
| Non-releasable memory | 11360 KB | 23316 KB | 200621 KB | 189261 KB |
| from large pool | 10064 KB | 22720 KB | 173088 KB | 163024 KB |
| from small pool | 1296 KB | 2047 KB | 27533 KB | 26237 KB |
|---------------------------------------------------------------------------|
| Allocations | 266 | 267 | 300 | 34 |
| from large pool | 48 | 49 | 65 | 17 |
| from small pool | 218 | 220 | 235 | 17 |
|---------------------------------------------------------------------------|
| Active allocs | 266 | 267 | 300 | 34 |
| from large pool | 48 | 49 | 65 | 17 |
| from small pool | 218 | 220 | 235 | 17 |
|---------------------------------------------------------------------------|
| GPU reserved segments | 28 | 28 | 28 | 0 |
| from large pool | 11 | 11 | 11 | 0 |
| from small pool | 17 | 17 | 17 | 0 |
|---------------------------------------------------------------------------|
| Non-releasable allocs | 10 | 10 | 46 | 36 |
| from large pool | 5 | 5 | 22 | 17 |
| from small pool | 5 | 5 | 24 | 19 |
|===========================================================================|
| WARNING: attempting to recover from OOM in forward/backward pass
| OOM: Ran out of memory with exception: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 23.65 GiB total capacity; 497.08 MiB already allocated; 13.12 MiB free; 500.00 MiB reserved in total by PyTorch)
|===========================================================================|
| PyTorch CUDA memory summary, device ID 0 |
|---------------------------------------------------------------------------|
| CUDA OOMs: 2 | cudaMalloc retries: 2 |
|===========================================================================|
| Metric | Cur Usage | Peak Usage | Tot Alloc | Tot Freed |
|---------------------------------------------------------------------------|
| Allocated memory | 505091 KB | 509011 KB | 784835 KB | 279744 KB |
| from large pool | 472472 KB | 476392 KB | 748296 KB | 275824 KB |
| from small pool | 32619 KB | 33689 KB | 36539 KB | 3920 KB |
|---------------------------------------------------------------------------|
| Active memory | 505091 KB | 509011 KB | 784835 KB | 279744 KB |
| from large pool | 472472 KB | 476392 KB | 748296 KB | 275824 KB |
| from small pool | 32619 KB | 33689 KB | 36539 KB | 3920 KB |
|---------------------------------------------------------------------------|
| GPU reserved memory | 512000 KB | 514048 KB | 514048 KB | 2048 KB |
| from large pool | 479232 KB | 479232 KB | 479232 KB | 0 KB |
| from small pool | 32768 KB | 34816 KB | 34816 KB | 2048 KB |
|---------------------------------------------------------------------------|
| Non-releasable memory | 6908 KB | 38865 KB | 401676 KB | 394767 KB |
| from large pool | 6760 KB | 37088 KB | 371120 KB | 364360 KB |
| from small pool | 148 KB | 2477 KB | 30556 KB | 30407 KB |
|---------------------------------------------------------------------------|
| Allocations | 266 | 267 | 378 | 112 |
| from large pool | 48 | 49 | 106 | 58 |
| from small pool | 218 | 220 | 272 | 54 |
|---------------------------------------------------------------------------|
| Active allocs | 266 | 267 | 378 | 112 |
| from large pool | 48 | 49 | 106 | 58 |
| from small pool | 218 | 220 | 272 | 54 |
|---------------------------------------------------------------------------|
| GPU reserved segments | 27 | 28 | 28 | 1 |
| from large pool | 11 | 11 | 11 | 0 |
| from small pool | 16 | 17 | 17 | 1 |
|---------------------------------------------------------------------------|
| Non-releasable allocs | 6 | 11 | 88 | 82 |
| from large pool | 2 | 6 | 52 | 50 |
| from small pool | 4 | 6 | 36 | 32 |
|===========================================================================|
| WARNING: attempting to recover from OOM in forward/backward pass
| OOM: Ran out of memory with exception: CUDA out of memory. Tried to allocate 2.00 MiB (GPU 0; 23.65 GiB total capacity; 481.20 MiB already allocated; 11.12 MiB free; 500.00 MiB reserved in total by PyTorch)
|===========================================================================|
| PyTorch CUDA memory summary, device ID 0 |
|---------------------------------------------------------------------------|
| CUDA OOMs: 3 | cudaMalloc retries: 3 |
|===========================================================================|
| Metric | Cur Usage | Peak Usage | Tot Alloc | Tot Freed |
|---------------------------------------------------------------------------|
| Allocated memory | 492748 KB | 509011 KB | 933 MB | 462942 KB |
| from large pool | 460296 KB | 476392 KB | 895 MB | 456744 KB |
| from small pool | 32452 KB | 33689 KB | 37 MB | 6198 KB |
|---------------------------------------------------------------------------|
| Active memory | 492748 KB | 509011 KB | 933 MB | 462942 KB |
| from large pool | 460296 KB | 476392 KB | 895 MB | 456744 KB |
| from small pool | 32452 KB | 33689 KB | 37 MB | 6198 KB |
|---------------------------------------------------------------------------|
| GPU reserved memory | 512000 KB | 514048 KB | 514048 KB | 2048 KB |
| from large pool | 479232 KB | 479232 KB | 479232 KB | 0 KB |
| from small pool | 32768 KB | 34816 KB | 34816 KB | 2048 KB |
|---------------------------------------------------------------------------|
| Non-releasable memory | 19252 KB | 38865 KB | 590922 KB | 571670 KB |
| from large pool | 18936 KB | 37088 KB | 558088 KB | 539152 KB |
| from small pool | 316 KB | 2477 KB | 32834 KB | 32518 KB |
|---------------------------------------------------------------------------|
| Allocations | 260 | 267 | 444 | 184 |
| from large pool | 45 | 49 | 140 | 95 |
| from small pool | 215 | 220 | 304 | 89 |
|---------------------------------------------------------------------------|
| Active allocs | 260 | 267 | 444 | 184 |
| from large pool | 45 | 49 | 140 | 95 |
| from small pool | 215 | 220 | 304 | 89 |
|---------------------------------------------------------------------------|
| GPU reserved segments | 27 | 28 | 28 | 1 |
| from large pool | 11 | 11 | 11 | 0 |
| from small pool | 16 | 17 | 17 | 1 |
|---------------------------------------------------------------------------|
| Non-releasable allocs | 5 | 11 | 127 | 122 |
| from large pool | 3 | 6 | 79 | 76 |
| from small pool | 2 | 6 | 48 | 46 |
|===========================================================================|
Traceback (most recent call last):
File "/home/jonne/miniconda3/envs/flores/bin/fairseq-train", line 8, in <module>
sys.exit(cli_main())
File "/home/jonne/miniconda3/envs/flores/lib/python3.6/site-packages/fairseq_cli/train.py", line 333, in cli_main
main(args)
File "/home/jonne/miniconda3/envs/flores/lib/python3.6/site-packages/fairseq_cli/train.py", line 61, in main
trainer = Trainer(args, task, model, criterion)
File "/home/jonne/miniconda3/envs/flores/lib/python3.6/site-packages/fairseq/trainer.py", line 46, in __init__
self._model = self._model.cuda()
File "/home/jonne/miniconda3/envs/flores/lib/python3.6/site-packages/torch/nn/modules/module.py", line 304, in cuda
return self._apply(lambda t: t.cuda(device))
File "/home/jonne/miniconda3/envs/flores/lib/python3.6/site-packages/torch/nn/modules/module.py", line 201, in _apply
module._apply(fn)
File "/home/jonne/miniconda3/envs/flores/lib/python3.6/site-packages/torch/nn/modules/module.py", line 201, in _apply
module._apply(fn)
File "/home/jonne/miniconda3/envs/flores/lib/python3.6/site-packages/torch/nn/modules/module.py", line 223, in _apply
param_applied = fn(param)
File "/home/jonne/miniconda3/envs/flores/lib/python3.6/site-packages/torch/nn/modules/module.py", line 304, in <lambda>
return self._apply(lambda t: t.cuda(device))
RuntimeError: CUDA error: out of memory
| WARNING: attempting to recover from OOM in forward/backward pass
| OOM: Ran out of memory with exception: CUDA out of memory. Tried to allocate 12.00 MiB (GPU 0; 23.65 GiB total capacity; 481.84 MiB already allocated; 11.12 MiB free; 500.00 MiB reserved in total by PyTorch)
|===========================================================================|
| PyTorch CUDA memory summary, device ID 0 |
|---------------------------------------------------------------------------|
| CUDA OOMs: 4 | cudaMalloc retries: 4 |
|===========================================================================|
| Metric | Cur Usage | Peak Usage | Tot Alloc | Tot Freed |
|---------------------------------------------------------------------------|
| Allocated memory | 493407 KB | 509011 KB | 1090 MB | 622809 KB |
| from large pool | 461664 KB | 476392 KB | 1051 MB | 614720 KB |
| from small pool | 31743 KB | 33689 KB | 38 MB | 8089 KB |
|---------------------------------------------------------------------------|
| Active memory | 493407 KB | 509011 KB | 1090 MB | 622809 KB |
| from large pool | 461664 KB | 476392 KB | 1051 MB | 614720 KB |
| from small pool | 31743 KB | 33689 KB | 38 MB | 8089 KB |
|---------------------------------------------------------------------------|
| GPU reserved memory | 512000 KB | 514048 KB | 514048 KB | 2048 KB |
| from large pool | 479232 KB | 479232 KB | 479232 KB | 0 KB |
| from small pool | 32768 KB | 34816 KB | 34816 KB | 2048 KB |
|---------------------------------------------------------------------------|
| Non-releasable memory | 18593 KB | 46401 KB | 775749 KB | 757156 KB |
| from large pool | 17568 KB | 44968 KB | 741024 KB | 723456 KB |
| from small pool | 1025 KB | 2477 KB | 34725 KB | 33700 KB |
|---------------------------------------------------------------------------|
| Allocations | 272 | 272 | 527 | 255 |
| from large pool | 52 | 52 | 184 | 132 |
| from small pool | 220 | 220 | 343 | 123 |
|---------------------------------------------------------------------------|
| Active allocs | 272 | 272 | 527 | 255 |
| from large pool | 52 | 52 | 184 | 132 |
| from small pool | 220 | 220 | 343 | 123 |
|---------------------------------------------------------------------------|
| GPU reserved segments | 27 | 28 | 28 | 1 |
| from large pool | 11 | 11 | 11 | 0 |
| from small pool | 16 | 17 | 17 | 1 |
|---------------------------------------------------------------------------|
| Non-releasable allocs | 10 | 11 | 165 | 155 |
| from large pool | 6 | 8 | 104 | 98 |
| from small pool | 4 | 6 | 61 | 57 |
|===========================================================================|
./evaluate/2020-07-13T11-34-04-00-exp444-morsel-si-seed14
| WARNING: attempting to recover from OOM in forward/backward pass
| OOM: Ran out of memory with exception: CUDA out of memory. Tried to allocate 72.00 MiB (GPU 0; 23.65 GiB total capacity; 1.37 GiB already allocated; 74.12 MiB free; 1.43 GiB reserved in total by PyTorch)
|===========================================================================|
| PyTorch CUDA memory summary, device ID 0 |
|---------------------------------------------------------------------------|
| CUDA OOMs: 5 | cudaMalloc retries: 6 |
|===========================================================================|
| Metric | Cur Usage | Peak Usage | Tot Alloc | Tot Freed |
|---------------------------------------------------------------------------|
| Allocated memory | 1399 MB | 1497 MB | 19799 MB | 18399 MB |
| from large pool | 1317 MB | 1432 MB | 19354 MB | 18036 MB |
| from small pool | 82 MB | 83 MB | 445 MB | 363 MB |
|---------------------------------------------------------------------------|
| Active memory | 1399 MB | 1497 MB | 19799 MB | 18399 MB |
| from large pool | 1317 MB | 1432 MB | 19354 MB | 18036 MB |
| from small pool | 82 MB | 83 MB | 445 MB | 363 MB |
|---------------------------------------------------------------------------|
| GPU reserved memory | 1464 MB | 1618 MB | 1862 MB | 407552 KB |
| from large pool | 1378 MB | 1532 MB | 1742 MB | 372736 KB |
| from small pool | 86 MB | 86 MB | 120 MB | 34816 KB |
|---------------------------------------------------------------------------|
| Non-releasable memory | 65855 KB | 233456 KB | 18235 MB | 18171 MB |
| from large pool | 61804 KB | 229766 KB | 17734 MB | 17674 MB |
| from small pool | 4051 KB | 10997 KB | 501 MB | 497 MB |
|---------------------------------------------------------------------------|
| Allocations | 719 | 726 | 8866 | 8147 |
| from large pool | 224 | 226 | 4317 | 4093 |
| from small pool | 495 | 506 | 4549 | 4054 |
|---------------------------------------------------------------------------|
| Active allocs | 719 | 726 | 8866 | 8147 |
| from large pool | 224 | 226 | 4317 | 4093 |
| from small pool | 495 | 506 | 4549 | 4054 |
|---------------------------------------------------------------------------|
| GPU reserved segments | 92 | 96 | 116 | 24 |
| from large pool | 49 | 53 | 56 | 7 |
| from small pool | 43 | 43 | 60 | 17 |
|---------------------------------------------------------------------------|
| Non-releasable allocs | 72 | 72 | 4253 | 4181 |
| from large pool | 26 | 27 | 2737 | 2711 |
| from small pool | 46 | 46 | 1516 | 1470 |
|===========================================================================|
| WARNING: attempting to recover from OOM in forward/backward pass
| OOM: Ran out of memory with exception: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 23.65 GiB total capacity; 1.46 GiB already allocated; 28.12 MiB free; 1.47 GiB reserved in total by PyTorch)
|===========================================================================|
| PyTorch CUDA memory summary, device ID 0 |
|---------------------------------------------------------------------------|
| CUDA OOMs: 6 | cudaMalloc retries: 9 |
|===========================================================================|
| Metric | Cur Usage | Peak Usage | Tot Alloc | Tot Freed |
|---------------------------------------------------------------------------|
| Allocated memory | 1495 MB | 1499 MB | 24461 MB | 22966 MB |
| from large pool | 1456 MB | 1460 MB | 23947 MB | 22490 MB |
| from small pool | 38 MB | 83 MB | 514 MB | 475 MB |
|---------------------------------------------------------------------------|
| Active memory | 1495 MB | 1499 MB | 24461 MB | 22966 MB |
| from large pool | 1456 MB | 1460 MB | 23947 MB | 22490 MB |
| from small pool | 38 MB | 83 MB | 514 MB | 475 MB |
|---------------------------------------------------------------------------|
| GPU reserved memory | 1510 MB | 1618 MB | 2688 MB | 1178 MB |
| from large pool | 1470 MB | 1532 MB | 2568 MB | 1098 MB |
| from small pool | 40 MB | 86 MB | 120 MB | 80 MB |
|---------------------------------------------------------------------------|
| Non-releasable memory | 15093 KB | 269226 KB | 22862 MB | 22847 MB |
| from large pool | 13736 KB | 262378 KB | 22232 MB | 22219 MB |
| from small pool | 1357 KB | 21470 KB | 629 MB | 628 MB |
|---------------------------------------------------------------------------|
| Allocations | 500 | 726 | 10615 | 10115 |
| from large pool | 191 | 226 | 5228 | 5037 |
| from small pool | 309 | 506 | 5387 | 5078 |
|---------------------------------------------------------------------------|
| Active allocs | 500 | 726 | 10615 | 10115 |
| from large pool | 191 | 226 | 5228 | 5037 |
| from small pool | 309 | 506 | 5387 | 5078 |
|---------------------------------------------------------------------------|
| GPU reserved segments | 63 | 96 | 140 | 77 |
| from large pool | 43 | 53 | 80 | 37 |
| from small pool | 20 | 43 | 60 | 40 |
|---------------------------------------------------------------------------|
| Non-releasable allocs | 17 | 88 | 5159 | 5142 |
| from large pool | 7 | 41 | 3332 | 3325 |
| from small pool | 10 | 54 | 1827 | 1817 |
|===========================================================================|
| WARNING: attempting to recover from OOM in forward/backward pass
| OOM: Ran out of memory with exception: CUDA out of memory. Tried to allocate 50.00 MiB (GPU 0; 23.65 GiB total capacity; 1.45 GiB already allocated; 16.12 MiB free; 1.49 GiB reserved in total by PyTorch)
|===========================================================================|
| PyTorch CUDA memory summary, device ID 0 |
|---------------------------------------------------------------------------|
| CUDA OOMs: 7 | cudaMalloc retries: 10 |
|===========================================================================|
| Metric | Cur Usage | Peak Usage | Tot Alloc | Tot Freed |
|---------------------------------------------------------------------------|
| Allocated memory | 1484 MB | 1499 MB | 25742 MB | 24258 MB |
| from large pool | 1433 MB | 1460 MB | 25200 MB | 23766 MB |
| from small pool | 50 MB | 83 MB | 542 MB | 491 MB |
|---------------------------------------------------------------------------|
| Active memory | 1484 MB | 1499 MB | 25742 MB | 24258 MB |
| from large pool | 1433 MB | 1460 MB | 25200 MB | 23766 MB |
| from small pool | 50 MB | 83 MB | 542 MB | 491 MB |
|---------------------------------------------------------------------------|
| GPU reserved memory | 1522 MB | 1618 MB | 2700 MB | 1178 MB |
| from large pool | 1470 MB | 1532 MB | 2568 MB | 1098 MB |
| from small pool | 52 MB | 86 MB | 132 MB | 80 MB |
|---------------------------------------------------------------------------|
| Non-releasable memory | 38326 KB | 269226 KB | 24340 MB | 24302 MB |
| from large pool | 37235 KB | 262378 KB | 23676 MB | 23640 MB |
| from small pool | 1091 KB | 21470 KB | 663 MB | 662 MB |
|---------------------------------------------------------------------------|
| Allocations | 525 | 726 | 11093 | 10568 |
| from large pool | 205 | 226 | 5520 | 5315 |
| from small pool | 320 | 506 | 5573 | 5253 |
|---------------------------------------------------------------------------|
| Active allocs | 525 | 726 | 11093 | 10568 |
| from large pool | 205 | 226 | 5520 | 5315 |
| from small pool | 320 | 506 | 5573 | 5253 |
|---------------------------------------------------------------------------|
| GPU reserved segments | 69 | 96 | 146 | 77 |
| from large pool | 43 | 53 | 80 | 37 |
| from small pool | 26 | 43 | 66 | 40 |
|---------------------------------------------------------------------------|
| Non-releasable allocs | 33 | 88 | 5389 | 5356 |
| from large pool | 15 | 41 | 3497 | 3482 |
| from small pool | 18 | 54 | 1892 | 1874 |
|===========================================================================|
| WARNING: attempting to recover from OOM in forward/backward pass
| OOM: Ran out of memory with exception: CUDA out of memory. Tried to allocate 14.00 MiB (GPU 0; 23.65 GiB total capacity; 1.48 GiB already allocated; 10.12 MiB free; 1.49 GiB reserved in total by PyTorch)
|===========================================================================|
| PyTorch CUDA memory summary, device ID 0 |
|---------------------------------------------------------------------------|
| CUDA OOMs: 8 | cudaMalloc retries: 11 |
|===========================================================================|
| Metric | Cur Usage | Peak Usage | Tot Alloc | Tot Freed |
|---------------------------------------------------------------------------|
| Allocated memory | 1514 MB | 1514 MB | 27079 MB | 25565 MB |
| from large pool | 1459 MB | 1460 MB | 26503 MB | 25043 MB |
| from small pool | 55 MB | 83 MB | 576 MB | 521 MB |
|---------------------------------------------------------------------------|
| Active memory | 1514 MB | 1514 MB | 27079 MB | 25565 MB |
| from large pool | 1459 MB | 1460 MB | 26503 MB | 25043 MB |
| from small pool | 55 MB | 83 MB | 576 MB | 521 MB |
|---------------------------------------------------------------------------|
| GPU reserved memory | 1528 MB | 1618 MB | 2706 MB | 1178 MB |
| from large pool | 1470 MB | 1532 MB | 2568 MB | 1098 MB |
| from small pool | 58 MB | 86 MB | 138 MB | 80 MB |
|---------------------------------------------------------------------------|
| Non-releasable memory | 13707 KB | 269226 KB | 25814 MB | 25800 MB |
| from large pool | 10800 KB | 262378 KB | 25102 MB | 25091 MB |
| from small pool | 2907 KB | 21470 KB | 712 MB | 709 MB |
|---------------------------------------------------------------------------|
| Allocations | 517 | 726 | 11556 | 11039 |
| from large pool | 200 | 226 | 5800 | 5600 |
| from small pool | 317 | 506 | 5756 | 5439 |
|---------------------------------------------------------------------------|
| Active allocs | 517 | 726 | 11556 | 11039 |
| from large pool | 200 | 226 | 5800 | 5600 |
| from small pool | 317 | 506 | 5756 | 5439 |
|---------------------------------------------------------------------------|
| GPU reserved segments | 72 | 96 | 149 | 77 |
| from large pool | 43 | 53 | 80 | 37 |
| from small pool | 29 | 43 | 69 | 40 |
|---------------------------------------------------------------------------|
| Non-releasable allocs | 25 | 88 | 5624 | 5599 |
| from large pool | 4 | 41 | 3663 | 3659 |
| from small pool | 21 | 54 | 1961 | 1940 |
|===========================================================================|
| WARNING: attempting to recover from OOM in forward/backward pass
| OOM: Ran out of memory with exception: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 23.65 GiB total capacity; 1.46 GiB already allocated; 28.12 MiB free; 1.47 GiB reserved in total by PyTorch)
|===========================================================================|
| PyTorch CUDA memory summary, device ID 0 |
|---------------------------------------------------------------------------|
| CUDA OOMs: 9 | cudaMalloc retries: 12 |
|===========================================================================|
| Metric | Cur Usage | Peak Usage | Tot Alloc | Tot Freed |
|---------------------------------------------------------------------------|
| Allocated memory | 1496 MB | 1514 MB | 28396 MB | 26900 MB |
| from large pool | 1458 MB | 1461 MB | 27809 MB | 26350 MB |
| from small pool | 37 MB | 83 MB | 587 MB | 549 MB |
|---------------------------------------------------------------------------|
| Active memory | 1496 MB | 1514 MB | 28396 MB | 26900 MB |
| from large pool | 1458 MB | 1461 MB | 27809 MB | 26350 MB |
| from small pool | 37 MB | 83 MB | 587 MB | 549 MB |
|---------------------------------------------------------------------------|
| GPU reserved memory | 1510 MB | 1618 MB | 2706 MB | 1196 MB |
| from large pool | 1470 MB | 1532 MB | 2568 MB | 1098 MB |
| from small pool | 40 MB | 86 MB | 138 MB | 98 MB |
|---------------------------------------------------------------------------|
| Non-releasable memory | 13960 KB | 269226 KB | 27356 MB | 27343 MB |
| from large pool | 11854 KB | 262378 KB | 26612 MB | 26600 MB |
| from small pool | 2106 KB | 21470 KB | 744 MB | 742 MB |
|---------------------------------------------------------------------------|
| Allocations | 499 | 726 | 11991 | 11492 |
| from large pool | 191 | 226 | 6068 | 5877 |
| from small pool | 308 | 506 | 5923 | 5615 |
|---------------------------------------------------------------------------|
| Active allocs | 499 | 726 | 11991 | 11492 |
| from large pool | 191 | 226 | 6068 | 5877 |
| from small pool | 308 | 506 | 5923 | 5615 |
|---------------------------------------------------------------------------|
| GPU reserved segments | 63 | 96 | 149 | 86 |
| from large pool | 43 | 53 | 80 | 37 |
| from small pool | 20 | 43 | 69 | 49 |
|---------------------------------------------------------------------------|
| Non-releasable allocs | 17 | 88 | 5863 | 5846 |
| from large pool | 6 | 41 | 3842 | 3836 |
| from small pool | 11 | 54 | 2021 | 2010 |
|===========================================================================|
| WARNING: attempting to recover from OOM in forward/backward pass
| OOM: Ran out of memory with exception: CUDA out of memory. Tried to allocate 70.00 MiB (GPU 0; 23.65 GiB total capacity; 1.44 GiB already allocated; 14.12 MiB free; 1.49 GiB reserved in total by PyTorch)
|===========================================================================|
| PyTorch CUDA memory summary, device ID 0 |
|---------------------------------------------------------------------------|
| CUDA OOMs: 10 | cudaMalloc retries: 13 |
|===========================================================================|
| Metric | Cur Usage | Peak Usage | Tot Alloc | Tot Freed |
|---------------------------------------------------------------------------|
| Allocated memory | 1475 MB | 1514 MB | 29660 MB | 28184 MB |
| from large pool | 1423 MB | 1461 MB | 29042 MB | 27619 MB |
| from small pool | 52 MB | 83 MB | 617 MB | 564 MB |
|---------------------------------------------------------------------------|
| Active memory | 1475 MB | 1514 MB | 29660 MB | 28184 MB |
| from large pool | 1423 MB | 1461 MB | 29042 MB | 27619 MB |
| from small pool | 52 MB | 83 MB | 617 MB | 564 MB |
|---------------------------------------------------------------------------|
| GPU reserved memory | 1524 MB | 1618 MB | 2720 MB | 1196 MB |
| from large pool | 1470 MB | 1532 MB | 2568 MB | 1098 MB |
| from small pool | 54 MB | 86 MB | 152 MB | 98 MB |
|---------------------------------------------------------------------------|
| Non-releasable memory | 49469 KB | 269226 KB | 28900 MB | 28852 MB |
| from large pool | 47831 KB | 262378 KB | 28121 MB | 28075 MB |
| from small pool | 1638 KB | 21470 KB | 778 MB | 777 MB |
|---------------------------------------------------------------------------|
| Allocations | 525 | 726 | 12469 | 11944 |
| from large pool | 205 | 226 | 6360 | 6155 |
| from small pool | 320 | 506 | 6109 | 5789 |
|---------------------------------------------------------------------------|
| Active allocs | 525 | 726 | 12469 | 11944 |
| from large pool | 205 | 226 | 6360 | 6155 |
| from small pool | 320 | 506 | 6109 | 5789 |
|---------------------------------------------------------------------------|
| GPU reserved segments | 70 | 96 | 156 | 86 |
| from large pool | 43 | 53 | 80 | 37 |
| from small pool | 27 | 43 | 76 | 49 |
|---------------------------------------------------------------------------|
| Non-releasable allocs | 36 | 88 | 6122 | 6086 |
| from large pool | 20 | 41 | 4022 | 4002 |
| from small pool | 16 | 54 | 2100 | 2084 |
|===========================================================================|
| WARNING: attempting to recover from OOM in forward/backward pass
| OOM: Ran out of memory with exception: CUDA out of memory. Tried to allocate 16.00 MiB (GPU 0; 23.65 GiB total capacity; 1.45 GiB already allocated; 18.12 MiB free; 1.48 GiB reserved in total by PyTorch)
|===========================================================================|
| PyTorch CUDA memory summary, device ID 0 |
|---------------------------------------------------------------------------|
| CUDA OOMs: 11 | cudaMalloc retries: 14 |
|===========================================================================|
| Metric | Cur Usage | Peak Usage | Tot Alloc | Tot Freed |
|---------------------------------------------------------------------------|
| Allocated memory | 1488 MB | 1514 MB | 30953 MB | 29464 MB |
| from large pool | 1441 MB | 1461 MB | 30312 MB | 28871 MB |
| from small pool | 46 MB | 83 MB | 640 MB | 593 MB |
|---------------------------------------------------------------------------|
| Active memory | 1488 MB | 1514 MB | 30953 MB | 29464 MB |
| from large pool | 1441 MB | 1461 MB | 30312 MB | 28871 MB |
| from small pool | 46 MB | 83 MB | 640 MB | 593 MB |
|---------------------------------------------------------------------------|
| GPU reserved memory | 1520 MB | 1618 MB | 2720 MB | 1200 MB |
| from large pool | 1470 MB | 1532 MB | 2568 MB | 1098 MB |
| from small pool | 50 MB | 86 MB | 152 MB | 102 MB |
|---------------------------------------------------------------------------|
| Non-releasable memory | 32187 KB | 269226 KB | 30398 MB | 30366 MB |
| from large pool | 29040 KB | 262378 KB | 29579 MB | 29551 MB |
| from small pool | 3147 KB | 21470 KB | 818 MB | 815 MB |
|---------------------------------------------------------------------------|
| Allocations | 518 | 726 | 12933 | 12415 |
| from large pool | 201 | 226 | 6641 | 6440 |
| from small pool | 317 | 506 | 6292 | 5975 |
|---------------------------------------------------------------------------|
| Active allocs | 518 | 726 | 12933 | 12415 |
| from large pool | 201 | 226 | 6641 | 6440 |
| from small pool | 317 | 506 | 6292 | 5975 |
|---------------------------------------------------------------------------|
| GPU reserved segments | 68 | 96 | 156 | 88 |
| from large pool | 43 | 53 | 80 | 37 |
| from small pool | 25 | 43 | 76 | 51 |
|---------------------------------------------------------------------------|
| Non-releasable allocs | 34 | 88 | 6368 | 6334 |
| from large pool | 18 | 41 | 4194 | 4176 |
| from small pool | 16 | 54 | 2174 | 2158 |
|===========================================================================|
| WARNING: attempting to recover from OOM in forward/backward pass
| OOM: Ran out of memory with exception: CUDA out of memory. Tried to allocate 50.00 MiB (GPU 0; 23.65 GiB total capacity; 1.44 GiB already allocated; 26.12 MiB free; 1.48 GiB reserved in total by PyTorch)
|===========================================================================|
| PyTorch CUDA memory summary, device ID 0 |
|---------------------------------------------------------------------------|
| CUDA OOMs: 12 | cudaMalloc retries: 15 |
|===========================================================================|
| Metric | Cur Usage | Peak Usage | Tot Alloc | Tot Freed |
|---------------------------------------------------------------------------|
| Allocated memory | 1478 MB | 1514 MB | 32231 MB | 30753 MB |
| from large pool | 1437 MB | 1461 MB | 31577 MB | 30140 MB |
| from small pool | 40 MB | 83 MB | 654 MB | 613 MB |
|---------------------------------------------------------------------------|
| Active memory | 1478 MB | 1514 MB | 32231 MB | 30753 MB |
| from large pool | 1437 MB | 1461 MB | 31577 MB | 30140 MB |
| from small pool | 40 MB | 83 MB | 654 MB | 613 MB |
|---------------------------------------------------------------------------|
| GPU reserved memory | 1512 MB | 1618 MB | 2720 MB | 1208 MB |
| from large pool | 1470 MB | 1532 MB | 2568 MB | 1098 MB |
| from small pool | 42 MB | 86 MB | 152 MB | 110 MB |
|---------------------------------------------------------------------------|
| Non-releasable memory | 34634 KB | 269226 KB | 31929 MB | 31895 MB |
| from large pool | 33351 KB | 262378 KB | 31082 MB | 31050 MB |
| from small pool | 1283 KB | 21470 KB | 846 MB | 845 MB |
|---------------------------------------------------------------------------|
| Allocations | 524 | 726 | 13405 | 12881 |
| from large pool | 205 | 226 | 6933 | 6728 |
| from small pool | 319 | 506 | 6472 | 6153 |
|---------------------------------------------------------------------------|
| Active allocs | 524 | 726 | 13405 | 12881 |
| from large pool | 205 | 226 | 6933 | 6728 |
| from small pool | 319 | 506 | 6472 | 6153 |
|---------------------------------------------------------------------------|
| GPU reserved segments | 64 | 96 | 156 | 92 |
| from large pool | 43 | 53 | 80 | 37 |
| from small pool | 21 | 43 | 76 | 55 |
|---------------------------------------------------------------------------|
| Non-releasable allocs | 16 | 88 | 6601 | 6585 |
| from large pool | 4 | 41 | 4372 | 4368 |
| from small pool | 12 | 54 | 2229 | 2217 |
|===========================================================================|
| WARNING: attempting to recover from OOM in forward/backward pass
| OOM: Ran out of memory with exception: CUDA out of memory. Tried to allocate 72.00 MiB (GPU 0; 23.65 GiB total capacity; 1.44 GiB already allocated; 20.12 MiB free; 1.48 GiB reserved in total by PyTorch)
|===========================================================================|
| PyTorch CUDA memory summary, device ID 0 |
|---------------------------------------------------------------------------|
| CUDA OOMs: 13 | cudaMalloc retries: 16 |
|===========================================================================|
| Metric | Cur Usage | Peak Usage | Tot Alloc | Tot Freed |
|---------------------------------------------------------------------------|
| Allocated memory | 1474 MB | 1514 MB | 33501 MB | 32027 MB |
| from large pool | 1427 MB | 1461 MB | 32824 MB | 31397 MB |
| from small pool | 46 MB | 83 MB | 676 MB | 630 MB |
|---------------------------------------------------------------------------|
| Active memory | 1474 MB | 1514 MB | 33501 MB | 32027 MB |
| from large pool | 1427 MB | 1461 MB | 32824 MB | 31397 MB |
| from small pool | 46 MB | 83 MB | 676 MB | 630 MB |
|---------------------------------------------------------------------------|
| GPU reserved memory | 1518 MB | 1618 MB | 2726 MB | 1208 MB |
| from large pool | 1470 MB | 1532 MB | 2568 MB | 1098 MB |
| from small pool | 48 MB | 86 MB | 158 MB | 110 MB |
|---------------------------------------------------------------------------|
| Non-releasable memory | 44374 KB | 269226 KB | 33436 MB | 33393 MB |
| from large pool | 43239 KB | 262378 KB | 32559 MB | 32516 MB |
| from small pool | 1135 KB | 21470 KB | 877 MB | 876 MB |
|---------------------------------------------------------------------------|
| Allocations | 525 | 726 | 13883 | 13358 |
| from large pool | 205 | 226 | 7225 | 7020 |
| from small pool | 320 | 506 | 6658 | 6338 |
|---------------------------------------------------------------------------|
| Active allocs | 525 | 726 | 13883 | 13358 |
| from large pool | 205 | 226 | 7225 | 7020 |