| 2026-03-10 17:54:50,378 - INFO - Logging to: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/logs/qwen_2m.log |
| 2026-03-10 17:54:50,378 - INFO - |
| ============================================================ |
| 2026-03-10 17:54:50,378 - INFO - Processing qwen - 2m |
| 2026-03-10 17:54:50,378 - INFO - Model path: /data/shared/Qwen/mydisk/output/Qwen/Qwen2.5-VL-3B-Instruct-data_scale_exp_2m-20260109_120517 |
| 2026-03-10 17:54:50,378 - INFO - ============================================================ |
| 2026-03-10 17:55:03,424 - ERROR - Failed qwen - 2m: Incorrect path_or_model_id: '/data/shared/Qwen/mydisk/output/Qwen/Qwen2.5-VL-3B-Instruct-data_scale_exp_2m-20260109_120517'. Please provide either the path to a local folder or the repo_id of a model on the Hub. |
| 2026-03-10 17:55:03,426 - INFO - |
| ============================================================ |
| 2026-03-10 17:55:03,426 - INFO - === All scales complete === |
| 2026-03-10 17:55:03,426 - INFO - Results: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data |
| 2026-03-10 17:55:03,426 - INFO - ============================================================ |
| 2026-03-10 20:07:33,119 - INFO - Logging to: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/logs/qwen_2m.log |
| 2026-03-10 20:07:33,119 - INFO - |
| ============================================================ |
| 2026-03-10 20:07:33,119 - INFO - Processing qwen - 2m |
| 2026-03-10 20:07:33,119 - INFO - Model path: /data/shared/Qwen/mydisk/output/Qwen/data_scale_exp/Qwen2.5-VL-3B-Instruct-data_scale_exp_2m-20260109_120517 |
| 2026-03-10 20:07:33,119 - INFO - ============================================================ |
| 2026-03-10 20:08:24,622 - INFO - Loaded Qwen2.5-VL from /data/shared/Qwen/mydisk/output/Qwen/data_scale_exp/Qwen2.5-VL-3B-Instruct-data_scale_exp_2m-20260109_120517 |
| 2026-03-10 20:08:24,622 - INFO - Model has 36 layers. Extracting ALL. |
| 2026-03-10 20:08:24,623 - INFO - |
| --- Phase A: Extracting swap pair features --- |
| 2026-03-10 20:08:24,650 - INFO - set VIDEO_TOTAL_PIXELS: 90316800 |
| 2026-03-10 20:08:27,752 - INFO - #573 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:28,438 - INFO - #119 left orig[X]="right" swap[O]="right" |
| 2026-03-10 20:08:29,205 - INFO - #30 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:30,354 - INFO - #308 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:31,135 - INFO - #277 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:31,987 - INFO - #257 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:32,612 - WARNING - Error on index 159: CUDA out of memory. Tried to allocate 16.10 GiB. GPU 0 has a total capacity of 79.14 GiB of which 9.35 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.66 GiB is allocated by PyTorch, and 577.02 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:08:33,535 - INFO - #115 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:34,329 - INFO - #616 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:35,077 - INFO - #498 left orig[O]="left" swap[X]="left" |
| 2026-03-10 20:08:35,925 - INFO - #97 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:37,183 - INFO - #538 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:38,107 - INFO - #414 left orig[O]="left" swap[X]="left" |
| 2026-03-10 20:08:39,033 - INFO - #36 left orig[X]="right" swap[O]="right" |
| 2026-03-10 20:08:40,222 - INFO - #32 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:41,250 - INFO - #103 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:42,050 - WARNING - Error on index 244: CUDA out of memory. Tried to allocate 20.72 GiB. GPU 0 has a total capacity of 79.14 GiB of which 9.00 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.99 GiB is allocated by PyTorch, and 571.32 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:08:42,849 - INFO - #270 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:43,968 - INFO - #476 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:45,223 - INFO - #547 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:46,120 - INFO - #638 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:46,977 - INFO - #505 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:47,734 - INFO - #227 left orig[X]="right" swap[O]="right" |
| 2026-03-10 20:08:48,431 - INFO - #617 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:49,304 - INFO - #410 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:50,144 - INFO - #256 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:50,827 - INFO - #428 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:51,532 - INFO - #537 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:52,483 - INFO - #316 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:56,522 - INFO - #9 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:57,404 - INFO - #187 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:58,604 - INFO - #604 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:08:59,354 - INFO - #358 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:00,416 - INFO - #642 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:01,178 - INFO - #185 left orig[X]="right" swap[O]="right" |
| 2026-03-10 20:09:02,232 - INFO - #590 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:02,993 - INFO - #354 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:03,585 - INFO - #621 left orig[X]="right" swap[O]="right" |
| 2026-03-10 20:09:04,572 - INFO - #595 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:05,793 - INFO - #383 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:06,671 - INFO - #104 left orig[O]="left" swap[X]="left" |
| 2026-03-10 20:09:07,510 - INFO - #371 left orig[X]="right" swap[O]="right" |
| 2026-03-10 20:09:08,751 - INFO - #367 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:09,580 - WARNING - Error on index 285: CUDA out of memory. Tried to allocate 15.38 GiB. GPU 0 has a total capacity of 79.14 GiB of which 10.04 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.61 GiB is allocated by PyTorch, and 438.33 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:09:10,341 - INFO - #56 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:11,197 - INFO - #433 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:12,106 - INFO - #139 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:13,022 - INFO - #382 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:13,759 - INFO - #74 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:14,611 - INFO - #324 left orig[O]="left" swap[X]="left" |
| 2026-03-10 20:09:15,514 - INFO - #372 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:16,349 - INFO - #215 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:17,022 - INFO - #67 left orig[O]="left" swap[O]="right" [50/738] |
| 2026-03-10 20:09:17,817 - INFO - #496 left orig[X]="right" swap[O]="right" |
| 2026-03-10 20:09:18,437 - WARNING - Error on index 268: CUDA out of memory. Tried to allocate 15.38 GiB. GPU 0 has a total capacity of 79.14 GiB of which 9.55 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.61 GiB is allocated by PyTorch, and 930.28 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:09:19,163 - INFO - #322 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:20,011 - INFO - #466 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:20,739 - INFO - #47 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:21,630 - INFO - #420 left orig[X]="right" swap[O]="right" |
| 2026-03-10 20:09:22,531 - INFO - #122 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:23,240 - INFO - #422 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:24,029 - INFO - #57 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:24,879 - INFO - #211 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:25,633 - INFO - #630 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:26,379 - INFO - #474 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:27,571 - INFO - #346 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:28,251 - INFO - #409 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:29,063 - INFO - #208 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:30,325 - INFO - #487 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:30,939 - INFO - #209 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:31,662 - INFO - #204 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:32,386 - INFO - #512 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:33,455 - INFO - #353 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:34,284 - INFO - #148 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:35,241 - INFO - #368 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:36,061 - INFO - #550 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:36,917 - INFO - #347 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:37,738 - INFO - #45 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:38,475 - INFO - #336 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:39,600 - INFO - #494 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:40,387 - INFO - #87 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:41,382 - INFO - #286 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:42,059 - INFO - #374 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:43,021 - INFO - #491 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:43,824 - INFO - #554 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:44,913 - INFO - #589 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:46,149 - INFO - #448 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:46,906 - INFO - #459 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:47,563 - INFO - #400 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:48,309 - INFO - #499 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:49,303 - INFO - #535 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:50,378 - INFO - #640 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:51,431 - INFO - #562 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:52,278 - INFO - #189 left orig[X]="right" swap[X]="left" |
| 2026-03-10 20:09:53,322 - INFO - #597 left orig[X]="right" swap[O]="right" |
| 2026-03-10 20:09:53,836 - INFO - #458 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:56,653 - INFO - #18 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:09:57,381 - INFO - #540 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:00,221 - INFO - #230 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:00,975 - INFO - #381 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:01,808 - INFO - #599 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:02,638 - INFO - #117 left orig[X]="right" swap[O]="right" |
| 2026-03-10 20:10:03,493 - INFO - #318 left orig[X]="right" swap[O]="right" |
| 2026-03-10 20:10:04,204 - INFO - #453 left orig[O]="left" swap[O]="right" [100/738] |
| 2026-03-10 20:10:05,998 - INFO - #376 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:07,177 - INFO - #278 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:08,592 - INFO - #569 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:09,823 - INFO - #436 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:10,652 - INFO - #69 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:11,467 - WARNING - Error on index 144: CUDA out of memory. Tried to allocate 15.38 GiB. GPU 0 has a total capacity of 79.14 GiB of which 10.03 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.61 GiB is allocated by PyTorch, and 438.33 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:10:12,710 - INFO - #478 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:13,806 - INFO - #387 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:15,230 - INFO - #395 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:16,411 - INFO - #319 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:17,499 - INFO - #241 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:18,336 - INFO - #350 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:19,621 - INFO - #429 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:20,447 - INFO - #500 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:21,273 - INFO - #345 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:22,301 - INFO - #403 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:22,725 - WARNING - Error on index 25: CUDA out of memory. Tried to allocate 5.73 GiB. GPU 0 has a total capacity of 79.14 GiB of which 5.17 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 13.54 GiB is allocated by PyTorch, and 333.43 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:10:23,763 - INFO - #488 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:26,984 - INFO - #16 left orig[O]="left" swap[O]="right" |
| 2026-03-10 20:10:27,785 - INFO - #95 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:28,563 - INFO - #135 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:29,364 - INFO - #557 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:30,190 - INFO - #137 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:30,819 - INFO - #603 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:31,560 - INFO - #334 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:32,212 - INFO - #526 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:33,043 - INFO - #43 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:33,866 - INFO - #312 right orig[X]="left" swap[O]="left" |
| 2026-03-10 20:10:34,517 - INFO - #304 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:35,350 - INFO - #641 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:36,586 - INFO - #379 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:37,322 - INFO - #457 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:38,054 - INFO - #212 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:39,269 - INFO - #475 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:39,913 - INFO - #11 right orig[O]="right" swap[X]="right" |
| 2026-03-10 20:10:40,620 - INFO - #644 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:41,445 - INFO - #96 right orig[X]="left" swap[O]="left" |
| 2026-03-10 20:10:42,165 - INFO - #623 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:42,887 - INFO - #463 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:43,717 - INFO - #220 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:44,771 - INFO - #579 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:45,579 - INFO - #281 right orig[O]="right" swap[X]="right" |
| 2026-03-10 20:10:46,405 - INFO - #649 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:46,978 - INFO - #236 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:47,743 - INFO - #341 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:48,606 - INFO - #645 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:49,844 - INFO - #375 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:50,583 - INFO - #2 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:51,188 - INFO - #219 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:51,876 - INFO - #434 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:52,576 - INFO - #152 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:53,226 - INFO - #435 right orig[O]="right" swap[O]="left" [150/738] |
| 2026-03-10 20:10:53,950 - INFO - #92 right orig[O]="right" swap[X]="right" |
| 2026-03-10 20:10:54,699 - INFO - #647 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:55,545 - INFO - #243 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:56,304 - INFO - #574 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:57,075 - INFO - #584 right orig[O]="right" swap[X]="right" |
| 2026-03-10 20:10:58,116 - INFO - #533 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:58,808 - INFO - #163 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:10:59,789 - INFO - #648 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:01,046 - INFO - #297 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:01,690 - INFO - #138 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:02,529 - INFO - #465 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:03,366 - INFO - #627 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:04,185 - INFO - #596 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:05,224 - INFO - #529 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:06,077 - INFO - #263 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:06,908 - INFO - #404 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:09,676 - INFO - #15 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:10,240 - INFO - #609 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:10,970 - INFO - #293 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:11,780 - INFO - #252 right orig[O]="right" swap[X]="right" |
| 2026-03-10 20:11:12,493 - INFO - #195 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:13,211 - INFO - #39 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:13,854 - INFO - #506 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:14,530 - INFO - #54 right orig[X]="left" swap[X]="right" |
| 2026-03-10 20:11:15,278 - INFO - #55 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:15,965 - INFO - #401 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:16,849 - INFO - #51 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:17,665 - INFO - #460 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:18,489 - INFO - #109 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:19,181 - INFO - #534 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:20,011 - INFO - #391 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:20,656 - WARNING - Error on index 141: CUDA out of memory. Tried to allocate 20.72 GiB. GPU 0 has a total capacity of 79.14 GiB of which 5.21 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.99 GiB is allocated by PyTorch, and 4.88 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:11:21,299 - INFO - #594 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:21,970 - INFO - #643 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:22,754 - INFO - #175 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:23,401 - INFO - #167 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:24,267 - INFO - #254 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:24,879 - INFO - #326 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:25,705 - INFO - #555 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:26,341 - INFO - #344 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:27,153 - INFO - #373 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:27,744 - WARNING - Error on index 214: CUDA out of memory. Tried to allocate 15.38 GiB. GPU 0 has a total capacity of 79.14 GiB of which 5.21 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.61 GiB is allocated by PyTorch, and 5.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:11:28,470 - INFO - #183 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:29,169 - INFO - #41 right orig[O]="right" swap[X]="right" |
| 2026-03-10 20:11:29,879 - INFO - #105 right orig[O]="right" swap[X]="right" |
| 2026-03-10 20:11:30,533 - INFO - #518 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:31,415 - INFO - #28 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:32,153 - INFO - #150 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:32,913 - INFO - #624 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:33,933 - INFO - #605 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:35,093 - INFO - #224 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:36,040 - INFO - #620 right orig[O]="right" swap[O]="left" [200/738] |
| 2026-03-10 20:11:36,858 - INFO - #377 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:38,043 - INFO - #469 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:39,834 - INFO - #530 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:40,675 - INFO - #33 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:41,365 - INFO - #289 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:47,366 - INFO - #259 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:48,221 - INFO - #27 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:48,850 - INFO - #406 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:49,835 - INFO - #380 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:50,662 - INFO - #520 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:51,701 - INFO - #560 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:52,505 - INFO - #619 right orig[X]="left" swap[O]="left" |
| 2026-03-10 20:11:53,125 - INFO - #213 right orig[X]="left" swap[X]="right" |
| 2026-03-10 20:11:53,821 - INFO - #99 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:54,642 - INFO - #118 right orig[O]="right" swap[X]="right" |
| 2026-03-10 20:11:55,439 - INFO - #274 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:56,082 - INFO - #202 right orig[X]="left" swap[O]="left" |
| 2026-03-10 20:11:56,839 - INFO - #582 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:57,680 - INFO - #221 right orig[X]="left" swap[O]="left" |
| 2026-03-10 20:11:58,388 - INFO - #639 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:11:59,094 - INFO - #511 right orig[X]="left" swap[X]="right" |
| 2026-03-10 20:11:59,797 - INFO - #228 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:12:00,524 - INFO - #294 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:12:01,236 - INFO - #193 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:12:02,725 - INFO - #394 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:12:03,512 - INFO - #292 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:12:04,382 - INFO - #170 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:12:05,035 - INFO - #68 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:12:06,193 - INFO - #37 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:12:07,139 - INFO - #276 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:12:08,392 - INFO - #272 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:12:09,258 - INFO - #176 right orig[O]="right" swap[X]="right" |
| 2026-03-10 20:12:11,470 - INFO - #587 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:12:12,755 - INFO - #447 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:12:19,124 - INFO - #283 right orig[O]="right" swap[X]="right" |
| 2026-03-10 20:12:20,499 - INFO - #192 right orig[O]="right" swap[X]="right" |
| 2026-03-10 20:12:21,831 - INFO - #24 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:12:23,174 - INFO - #313 right orig[O]="right" swap[O]="left" |
| 2026-03-10 20:12:24,124 - WARNING - Error on index 60: CUDA out of memory. Tried to allocate 12.16 GiB. GPU 0 has a total capacity of 79.14 GiB of which 1.90 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 20.46 GiB is allocated by PyTorch, and 1.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:12:25,873 - INFO - #426 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:27,272 - INFO - #335 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:27,766 - WARNING - Error on index 112: CUDA out of memory. Tried to allocate 5.73 GiB. GPU 0 has a total capacity of 79.14 GiB of which 1.90 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 20.70 GiB is allocated by PyTorch, and 1.67 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:12:29,054 - INFO - #232 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:29,854 - INFO - #179 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:30,641 - INFO - #172 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:31,446 - INFO - #473 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:32,125 - INFO - #146 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:32,973 - INFO - #444 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:33,615 - INFO - #169 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:34,464 - INFO - #258 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:12:35,283 - INFO - #507 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:12:36,008 - INFO - #601 above orig[O]="above" swap[O]="below" [250/738] |
| 2026-03-10 20:12:36,604 - INFO - #82 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:12:37,673 - INFO - #468 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:38,343 - INFO - #106 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:39,105 - INFO - #21 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:39,905 - INFO - #321 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:12:40,834 - WARNING - Error on index 253: CUDA out of memory. Tried to allocate 15.38 GiB. GPU 0 has a total capacity of 79.14 GiB of which 14.06 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.61 GiB is allocated by PyTorch, and 1.61 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:12:41,571 - INFO - #443 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:12:42,268 - INFO - #1 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:42,842 - INFO - #44 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:43,553 - INFO - #561 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:44,388 - INFO - #392 above orig[X]="below" swap[X]="above" |
| 2026-03-10 20:12:45,418 - INFO - #578 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:12:46,076 - INFO - #121 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:46,799 - INFO - #84 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:47,484 - INFO - #190 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:12:48,197 - INFO - #231 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:12:48,829 - INFO - #229 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:49,461 - INFO - #607 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:50,266 - INFO - #455 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:12:50,847 - INFO - #182 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:51,400 - INFO - #23 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:52,102 - INFO - #483 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:12:52,866 - INFO - #593 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:53,444 - INFO - #0 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:54,247 - INFO - #598 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:54,656 - WARNING - Error on index 133: CUDA out of memory. Tried to allocate 5.73 GiB. GPU 0 has a total capacity of 79.14 GiB of which 2.59 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 20.70 GiB is allocated by PyTorch, and 1000.02 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:12:55,350 - INFO - #416 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:56,572 - INFO - #629 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:12:59,803 - INFO - #218 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:00,869 - INFO - #147 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:01,787 - INFO - #199 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:02,819 - INFO - #356 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:03,900 - INFO - #386 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:05,360 - INFO - #566 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:06,615 - INFO - #325 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:07,359 - INFO - #363 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:08,146 - INFO - #586 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:09,088 - INFO - #549 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:10,048 - INFO - #102 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:11,069 - INFO - #149 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:11,684 - INFO - #467 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:12,377 - INFO - #452 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:13,176 - INFO - #264 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:14,000 - INFO - #527 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:15,225 - INFO - #351 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:15,781 - INFO - #158 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:16,549 - INFO - #328 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:17,759 - INFO - #539 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:19,059 - INFO - #349 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:20,272 - INFO - #544 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:20,829 - INFO - #233 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:21,733 - WARNING - Error on index 249: CUDA out of memory. Tried to allocate 15.38 GiB. GPU 0 has a total capacity of 79.14 GiB of which 14.04 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.61 GiB is allocated by PyTorch, and 1.61 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:13:22,539 - INFO - #83 above orig[O]="above" swap[X]="above" [300/738] |
| 2026-03-10 20:13:24,065 - INFO - #536 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:24,920 - INFO - #239 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:28,237 - INFO - #42 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:28,785 - INFO - #91 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:29,308 - INFO - #31 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:30,184 - INFO - #260 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:31,030 - INFO - #486 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:31,766 - INFO - #462 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:32,429 - INFO - #646 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:33,237 - INFO - #126 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:34,191 - INFO - #17 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:34,954 - INFO - #315 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:35,616 - INFO - #194 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:36,803 - INFO - #390 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:37,682 - INFO - #222 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:40,419 - WARNING - Error on index 72: CUDA out of memory. Tried to allocate 20.72 GiB. GPU 0 has a total capacity of 79.14 GiB of which 13.06 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.99 GiB is allocated by PyTorch, and 2.19 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:13:41,144 - INFO - #48 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:41,856 - INFO - #164 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:42,387 - INFO - #168 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:43,140 - INFO - #291 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:43,779 - INFO - #251 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:44,188 - INFO - #310 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:44,960 - INFO - #541 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:45,626 - INFO - #510 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:46,356 - INFO - #402 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:50,374 - INFO - #162 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:51,063 - INFO - #364 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:51,636 - INFO - #120 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:52,810 - INFO - #216 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:53,877 - INFO - #14 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:54,258 - INFO - #441 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:55,514 - INFO - #439 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:56,666 - INFO - #156 above orig[X]="below" swap[O]="below" |
| 2026-03-10 20:13:57,222 - INFO - #419 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:13:58,005 - INFO - #317 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:58,878 - INFO - #171 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:13:59,728 - INFO - #143 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:14:00,563 - INFO - #223 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:14:01,368 - INFO - #129 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:14:04,568 - INFO - #203 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:14:05,319 - INFO - #309 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:14:06,043 - INFO - #86 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:14:06,691 - INFO - #608 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:14:07,463 - INFO - #207 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:14:08,418 - INFO - #261 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:14:09,383 - INFO - #79 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:14:10,235 - WARNING - Error on index 248: CUDA out of memory. Tried to allocate 20.72 GiB. GPU 0 has a total capacity of 79.14 GiB of which 8.84 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.99 GiB is allocated by PyTorch, and 1.24 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:14:10,882 - WARNING - Error on index 49: CUDA out of memory. Tried to allocate 20.72 GiB. GPU 0 has a total capacity of 79.14 GiB of which 8.84 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.99 GiB is allocated by PyTorch, and 1.24 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:14:11,476 - INFO - #110 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:14:12,103 - INFO - #78 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:14:13,294 - INFO - #583 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:14:14,136 - INFO - #40 above orig[O]="above" swap[X]="above" |
| 2026-03-10 20:14:14,616 - INFO - #181 above orig[O]="above" swap[O]="below" [350/738] |
| 2026-03-10 20:14:15,394 - INFO - #524 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:14:15,892 - INFO - #360 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:14:17,072 - INFO - #576 above orig[O]="above" swap[O]="below" |
| 2026-03-10 20:14:17,618 - INFO - #3 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:18,380 - INFO - #6 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:19,002 - WARNING - Error on index 8: CUDA out of memory. Tried to allocate 15.38 GiB. GPU 0 has a total capacity of 79.14 GiB of which 8.87 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.61 GiB is allocated by PyTorch, and 1.61 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:14:19,635 - INFO - #20 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:20,347 - INFO - #22 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:14:21,053 - INFO - #26 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:14:21,901 - INFO - #29 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:22,771 - INFO - #50 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:23,472 - INFO - #65 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:24,050 - INFO - #66 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:24,721 - WARNING - Error on index 70: CUDA out of memory. Tried to allocate 20.72 GiB. GPU 0 has a total capacity of 79.14 GiB of which 8.88 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.99 GiB is allocated by PyTorch, and 1.24 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:14:25,226 - WARNING - Error on index 73: CUDA out of memory. Tried to allocate 12.05 GiB. GPU 0 has a total capacity of 79.14 GiB of which 10.26 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.37 GiB is allocated by PyTorch, and 483.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:14:25,955 - INFO - #75 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:14:26,561 - INFO - #76 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:27,259 - INFO - #77 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:14:27,969 - INFO - #80 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:14:28,694 - INFO - #85 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:14:29,185 - INFO - #88 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:29,626 - INFO - #90 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:30,223 - INFO - #93 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:14:31,165 - INFO - #94 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:14:32,546 - INFO - #98 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:14:33,930 - INFO - #100 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:35,460 - INFO - #101 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:14:36,786 - INFO - #107 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:38,388 - INFO - #116 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:39,794 - INFO - #123 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:40,841 - INFO - #125 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:41,782 - INFO - #127 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:14:43,083 - INFO - #128 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:44,721 - INFO - #132 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:46,122 - INFO - #136 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:14:46,802 - WARNING - Error on index 142: CUDA out of memory. Tried to allocate 15.38 GiB. GPU 0 has a total capacity of 79.14 GiB of which 2.92 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.61 GiB is allocated by PyTorch, and 724.67 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:14:47,494 - WARNING - Error on index 145: CUDA out of memory. Tried to allocate 15.38 GiB. GPU 0 has a total capacity of 79.14 GiB of which 2.92 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.61 GiB is allocated by PyTorch, and 724.72 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:14:48,484 - INFO - #161 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:14:49,883 - INFO - #184 below orig[X]="above" swap[X]="below" |
| 2026-03-10 20:14:50,913 - INFO - #186 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:51,310 - WARNING - Error on index 191: CUDA out of memory. Tried to allocate 6.21 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.86 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 7.90 GiB is allocated by PyTorch, and 476.50 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:14:54,541 - INFO - #197 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:55,650 - INFO - #200 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:56,203 - INFO - #205 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:14:56,894 - INFO - #206 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:14:57,683 - INFO - #217 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:14:58,377 - WARNING - Error on index 235: CUDA out of memory. Tried to allocate 20.72 GiB. GPU 0 has a total capacity of 79.14 GiB of which 1.95 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.99 GiB is allocated by PyTorch, and 1.29 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:14:58,923 - WARNING - Error on index 237: CUDA out of memory. Tried to allocate 15.38 GiB. GPU 0 has a total capacity of 79.14 GiB of which 2.90 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.61 GiB is allocated by PyTorch, and 724.71 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:14:59,774 - INFO - #242 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:15:00,812 - INFO - #246 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:01,436 - INFO - #247 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:02,240 - INFO - #250 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:03,052 - INFO - #267 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:03,293 - WARNING - Error on index 269: CUDA out of memory. Tried to allocate 1.59 GiB. GPU 0 has a total capacity of 79.14 GiB of which 1017.19 MiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 10.99 GiB is allocated by PyTorch, and 248.17 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:15:04,112 - INFO - #280 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:15:04,767 - WARNING - Error on index 287: CUDA out of memory. Tried to allocate 20.72 GiB. GPU 0 has a total capacity of 79.14 GiB of which 2.58 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.99 GiB is allocated by PyTorch, and 671.33 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:15:05,702 - WARNING - Error on index 290: CUDA out of memory. Tried to allocate 15.38 GiB. GPU 0 has a total capacity of 79.14 GiB of which 14.65 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 8.61 GiB is allocated by PyTorch, and 1.03 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:15:06,230 - INFO - #296 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:07,052 - INFO - #298 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:15:07,812 - INFO - #299 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:15:08,763 - INFO - #300 below orig[O]="below" swap[O]="above" [400/738] |
| 2026-03-10 20:15:09,941 - INFO - #303 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:11,394 - INFO - #305 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:12,487 - INFO - #306 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:14,767 - INFO - #311 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:15,746 - INFO - #323 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:16,969 - INFO - #338 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:18,175 - INFO - #342 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:20,231 - INFO - #352 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:21,203 - INFO - #355 below orig[X]="above" swap[X]="below" |
| 2026-03-10 20:15:22,121 - INFO - #357 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:23,521 - INFO - #362 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:24,558 - INFO - #365 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:25,768 - INFO - #366 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:26,579 - INFO - #370 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:27,291 - INFO - #384 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:15:27,878 - INFO - #388 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:28,533 - INFO - #397 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:28,992 - INFO - #399 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:15:30,299 - INFO - #407 below orig[O]="below" swap[X]="below" |
| 2026-03-10 20:15:31,533 - INFO - #408 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:15:32,271 - INFO - #412 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:15:33,042 - INFO - #415 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:15:33,960 - INFO - #418 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:34,966 - INFO - #427 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:36,670 - INFO - #430 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:37,691 - INFO - #437 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:38,636 - INFO - #442 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:15:39,273 - INFO - #445 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:39,948 - INFO - #450 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:40,865 - INFO - #454 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:41,748 - INFO - #461 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:42,495 - INFO - #470 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:15:43,696 - INFO - #489 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:44,545 - INFO - #492 below orig[X]="above" swap[X]="below" |
| 2026-03-10 20:15:45,259 - INFO - #493 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:15:46,409 - INFO - #495 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:47,100 - INFO - #497 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:48,410 - INFO - #501 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:49,114 - INFO - #502 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:50,321 - INFO - #504 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:51,575 - INFO - #513 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:52,417 - INFO - #516 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:53,442 - INFO - #521 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:15:54,682 - INFO - #522 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:55,414 - INFO - #528 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:56,279 - INFO - #531 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:15:56,915 - INFO - #543 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:57,953 - INFO - #545 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:15:58,993 - INFO - #548 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:15:59,825 - INFO - #551 below orig[X]="above" swap[X]="below" [450/738] |
| 2026-03-10 20:16:00,540 - INFO - #552 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:16:01,252 - INFO - #553 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:16:02,024 - INFO - #563 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:16:02,830 - INFO - #564 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:16:03,512 - INFO - #565 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:16:04,229 - INFO - #572 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:16:04,948 - INFO - #575 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:16:05,634 - INFO - #577 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:16:06,294 - INFO - #580 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:16:07,339 - INFO - #585 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:16:08,160 - INFO - #592 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:16:08,830 - INFO - #610 below orig[X]="above" swap[O]="above" |
| 2026-03-10 20:16:09,709 - INFO - #611 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:16:10,468 - INFO - #622 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:16:11,298 - INFO - #631 below orig[O]="below" swap[O]="above" |
| 2026-03-10 20:16:11,641 - WARNING - Error on index 1140: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.10 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.27 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:16:14,923 - INFO - #614 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:15,845 - INFO - #224 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:16,905 - INFO - #274 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:17,190 - WARNING - Error on index 540: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.10 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.27 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:16:18,226 - INFO - #243 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:19,189 - INFO - #230 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:19,484 - WARNING - Error on index 1139: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.10 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:16:20,594 - INFO - #315 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:20,884 - WARNING - Error on index 556: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.10 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:16:21,189 - WARNING - Error on index 580: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.10 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:16:21,489 - WARNING - Error on index 414: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.10 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:16:24,816 - INFO - #701 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:25,110 - WARNING - Error on index 405: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.10 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:16:25,355 - WARNING - Error on index 1190: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.10 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:16:25,628 - WARNING - Error on index 1032: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.10 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:16:26,586 - INFO - #997 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:26,873 - WARNING - Error on index 514: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.10 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:16:30,246 - INFO - #119 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:33,430 - INFO - #193 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:34,909 - INFO - #878 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:35,196 - WARNING - Error on index 571: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.10 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:16:38,391 - INFO - #107 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:41,610 - INFO - #9 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:45,104 - INFO - #676 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:46,575 - INFO - #269 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:46,939 - WARNING - Error on index 536: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.10 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:16:48,727 - INFO - #323 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:50,971 - INFO - #916 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:51,194 - WARNING - Error on index 1136: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:16:53,044 - INFO - #886 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:56,673 - INFO - #22 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:16:58,391 - INFO - #239 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:02,727 - INFO - #158 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:04,350 - INFO - #301 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:04,803 - WARNING - Error on index 1125: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:17:08,097 - INFO - #83 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:12,509 - INFO - #765 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:14,124 - INFO - #299 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:16,117 - INFO - #890 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:17,111 - INFO - #265 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:21,455 - INFO - #101 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:25,847 - INFO - #626 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:30,221 - INFO - #751 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:34,565 - INFO - #97 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:38,954 - INFO - #734 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:39,338 - WARNING - Error on index 1178: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:17:39,675 - WARNING - Error on index 504: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:17:41,117 - INFO - #220 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:44,875 - INFO - #719 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:47,122 - INFO - #837 far orig[O]="far" swap[X]="far" [500/738] |
| 2026-03-10 20:17:48,587 - INFO - #314 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:48,936 - WARNING - Error on index 479: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:17:50,612 - INFO - #324 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:52,105 - INFO - #346 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:53,879 - INFO - #851 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:17:58,698 - INFO - #60 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:00,525 - INFO - #356 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:04,838 - INFO - #673 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:06,455 - INFO - #847 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:06,794 - WARNING - Error on index 499: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:18:07,108 - WARNING - Error on index 546: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:18:08,519 - INFO - #320 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:09,707 - INFO - #232 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:14,040 - INFO - #786 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:18,421 - INFO - #91 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:19,789 - INFO - #965 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:20,114 - WARNING - Error on index 447: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:18:21,224 - INFO - #399 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:23,137 - INFO - #950 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:26,645 - INFO - #714 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:31,055 - INFO - #622 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:31,405 - WARNING - Error on index 457: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:18:31,734 - WARNING - Error on index 451: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:18:35,783 - INFO - #59 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:37,473 - INFO - #389 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:38,848 - INFO - #816 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:42,843 - INFO - #664 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:43,167 - WARNING - Error on index 574: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:18:46,920 - INFO - #148 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:47,269 - WARNING - Error on index 1033: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:18:51,862 - INFO - #715 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:53,844 - INFO - #818 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:18:57,083 - INFO - #672 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:01,496 - INFO - #64 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:01,864 - WARNING - Error on index 1187: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:19:04,179 - INFO - #910 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:05,859 - INFO - #989 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:06,092 - WARNING - Error on index 1145: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:19:10,100 - INFO - #185 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:10,406 - WARNING - Error on index 594: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:19:11,353 - INFO - #981 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:11,675 - WARNING - Error on index 1000: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:19:12,758 - INFO - #272 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:16,338 - INFO - #46 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:20,707 - INFO - #124 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:25,110 - INFO - #613 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:25,441 - WARNING - Error on index 431: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:19:26,509 - INFO - #338 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:26,831 - WARNING - Error on index 1110: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:19:28,010 - INFO - #809 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:29,856 - INFO - #316 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:30,204 - WARNING - Error on index 432: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:19:33,591 - INFO - #620 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:33,883 - WARNING - Error on index 523: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:19:37,600 - INFO - #133 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:37,898 - WARNING - Error on index 1041: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:19:39,758 - INFO - #927 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:40,065 - WARNING - Error on index 591: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:19:41,802 - INFO - #203 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:42,125 - WARNING - Error on index 1117: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:19:45,916 - INFO - #52 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:46,221 - WARNING - Error on index 1101: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:19:47,525 - INFO - #984 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:51,280 - INFO - #4 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:51,571 - WARNING - Error on index 532: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:19:53,422 - INFO - #953 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:54,885 - INFO - #829 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:19:55,273 - WARNING - Error on index 549: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:19:55,601 - WARNING - Error on index 1176: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:19:59,945 - INFO - #739 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:20:04,304 - INFO - #766 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:20:08,672 - INFO - #764 far orig[O]="far" swap[X]="far" |
| 2026-03-10 20:20:08,920 - WARNING - Error on index 420: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:20:12,875 - INFO - #742 close orig[X]="far" swap[O]="far" [550/738] |
| 2026-03-10 20:20:14,481 - INFO - #872 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:20:18,509 - INFO - #129 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:20:22,870 - INFO - #682 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:20:26,402 - INFO - #649 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:20:27,394 - INFO - #251 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:20:31,123 - INFO - #611 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:20:31,407 - WARNING - Error on index 1040: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:20:35,175 - INFO - #642 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:20:36,992 - INFO - #832 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:20:40,919 - INFO - #675 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:20:43,009 - INFO - #823 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:20:47,444 - INFO - #602 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:20:47,805 - WARNING - Error on index 1128: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:20:50,021 - INFO - #259 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:20:50,361 - WARNING - Error on index 404: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:20:52,662 - INFO - #855 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:20:56,251 - INFO - #771 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:20:57,598 - INFO - #367 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:20:57,832 - WARNING - Error on index 1164: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:21:01,743 - INFO - #616 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:03,563 - INFO - #827 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:03,788 - WARNING - Error on index 1118: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:21:07,981 - INFO - #0 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:12,296 - INFO - #632 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:12,585 - WARNING - Error on index 585: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:21:12,916 - WARNING - Error on index 441: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:21:14,468 - INFO - #870 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:18,184 - INFO - #668 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:19,894 - INFO - #944 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:21,598 - INFO - #895 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:21,897 - WARNING - Error on index 1133: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:21:22,272 - WARNING - Error on index 444: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:21:22,639 - WARNING - Error on index 1051: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:21:24,940 - INFO - #969 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:26,903 - INFO - #359 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:31,191 - INFO - #167 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:31,555 - WARNING - Error on index 576: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:21:31,890 - WARNING - Error on index 1056: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:21:36,270 - INFO - #691 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:40,247 - INFO - #187 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:40,569 - WARNING - Error on index 486: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:21:43,991 - INFO - #643 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:44,320 - WARNING - Error on index 468: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:21:44,660 - WARNING - Error on index 423: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:21:45,823 - INFO - #303 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:50,055 - INFO - #44 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:54,393 - INFO - #84 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:21:54,738 - WARNING - Error on index 506: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:21:56,501 - INFO - #975 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:00,246 - INFO - #140 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:01,878 - INFO - #926 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:02,904 - INFO - #844 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:03,312 - WARNING - Error on index 415: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:07,733 - INFO - #783 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:08,083 - WARNING - Error on index 1018: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:09,837 - INFO - #820 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:10,114 - WARNING - Error on index 505: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:11,650 - INFO - #304 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:15,421 - INFO - #8 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:17,144 - INFO - #210 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:18,748 - INFO - #860 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:19,098 - WARNING - Error on index 458: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:21,399 - INFO - #369 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:21,746 - WARNING - Error on index 1060: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:23,528 - INFO - #941 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:27,740 - INFO - #90 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:28,044 - WARNING - Error on index 512: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:29,590 - INFO - #237 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:31,883 - INFO - #928 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:33,381 - INFO - #271 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:33,728 - WARNING - Error on index 1066: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:38,210 - INFO - #652 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:39,327 - INFO - #896 close orig[X]="far" swap[O]="far" [600/738] |
| 2026-03-10 20:22:39,643 - WARNING - Error on index 1035: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:41,791 - INFO - #861 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:44,051 - INFO - #905 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:45,838 - INFO - #343 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:46,190 - WARNING - Error on index 1099: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:48,335 - INFO - #909 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:48,625 - WARNING - Error on index 530: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:48,867 - WARNING - Error on index 510: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:49,172 - WARNING - Error on index 562: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:51,424 - INFO - #994 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:51,769 - WARNING - Error on index 497: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:52,162 - WARNING - Error on index 560: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:53,866 - INFO - #891 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:57,882 - INFO - #154 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:22:58,194 - WARNING - Error on index 581: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:58,498 - WARNING - Error on index 1116: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:58,813 - WARNING - Error on index 557: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:22:59,869 - INFO - #354 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:00,861 - INFO - #344 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:02,595 - INFO - #906 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:02,919 - WARNING - Error on index 553: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:23:06,681 - INFO - #74 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:10,872 - INFO - #128 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:15,259 - INFO - #149 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:16,980 - INFO - #226 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:17,318 - WARNING - Error on index 1168: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:23:21,709 - INFO - #711 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:26,079 - INFO - #151 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:29,672 - INFO - #726 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:30,038 - WARNING - Error on index 1076: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:23:34,654 - INFO - #55 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:35,008 - WARNING - Error on index 437: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:23:35,373 - WARNING - Error on index 430: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:23:37,173 - INFO - #351 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:37,408 - WARNING - Error on index 554: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:23:37,744 - WARNING - Error on index 484: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:23:38,066 - WARNING - Error on index 1039: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:23:42,295 - INFO - #54 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:43,498 - INFO - #202 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:45,135 - INFO - #848 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:45,500 - WARNING - Error on index 1148: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:23:45,850 - WARNING - Error on index 1088: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:23:47,148 - INFO - #915 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:50,884 - INFO - #784 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:51,231 - WARNING - Error on index 599: CUDA out of memory. Tried to allocate 3.17 GiB. GPU 0 has a total capacity of 79.14 GiB of which 3.02 GiB is free. Process 2008515 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 14.72 GiB is allocated by PyTorch, and 1.26 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https: |
| 2026-03-10 20:23:55,583 - INFO - #717 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:23:59,835 - INFO - #18 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:24:01,534 - INFO - #866 close orig[X]="far" swap[O]="far" |
| 2026-03-10 20:24:01,535 - INFO - Extracted 627 swap pair records |
| 2026-03-10 20:24:01,536 - INFO - left (n=117): acc_orig=89.7%, acc_swap=95.7%, acc_both=86.3% |
| 2026-03-10 20:24:01,536 - INFO - right (n=121): acc_orig=93.4%, acc_swap=88.4%, acc_both=84.3% |
| 2026-03-10 20:24:01,536 - INFO - above (n=115): acc_orig=98.3%, acc_swap=70.4%, acc_both=69.6% |
| 2026-03-10 20:24:01,536 - INFO - below (n=112): acc_orig=66.1%, acc_swap=95.5%, acc_both=65.2% |
| 2026-03-10 20:24:01,536 - INFO - far (n=84): acc_orig=100.0%, acc_swap=0.0%, acc_both=0.0% |
| 2026-03-10 20:24:01,537 - INFO - close (n=78): acc_orig=0.0%, acc_swap=100.0%, acc_both=0.0% |
| 2026-03-10 20:24:01,537 - INFO - |
| --- Phase C_A: Analysis (swap pairs) --- |
| 2026-03-10 20:24:01,537 - WARNING - [!] Category 'far' unreliable at scale=2m: acc_orig=100.0%, acc_swap=0.0% |
| 2026-03-10 20:24:01,537 - WARNING - [!] Category 'close' unreliable at scale=2m: acc_orig=0.0%, acc_swap=100.0% |
| 2026-03-10 20:24:01,537 - WARNING - Unreliable categories: ['far', 'close'] |
| 2026-03-10 20:24:02,444 - INFO - Both-correct pairs: 356/627 |
| 2026-03-10 20:24:03,339 - INFO - Sign-corrected [horizontal, L35]: 0.4071 +/- 0.3249 |
| 2026-03-10 20:24:03,339 - INFO - Sign-corrected [vertical, L35]: 0.2845 +/- 0.3294 |
| 2026-03-10 20:24:03,339 - INFO - Sign-corrected [distance, L35]: 0.0435 +/- 0.2682 |
| 2026-03-10 20:24:03,339 - INFO - Accuracy orig=78.0%, swap=77.4%, both=56.8% |
| 2026-03-10 20:24:03,339 - INFO - |
| --- Phase D_A: Saving Phase A results --- |
| 2026-03-10 20:25:51,705 - INFO - Saved vectors NPZ with correctness metadata for scale=2m |
| 2026-03-10 20:25:51,780 - INFO - Saved results for scale=2m (all_pairs) to /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m |
| 2026-03-10 20:25:51,822 - INFO - Saved results for scale=2m (both_correct) to /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m |
| 2026-03-10 20:25:51,822 - INFO - |
| --- Phase E_A: Per-scale plots (swap-pair data) --- |
| 2026-03-10 20:25:52,489 - INFO - Saved: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/within_cat_consistency/within_cat_consistency_2m.png |
| 2026-03-10 20:25:53,089 - INFO - Saved: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/sign_corrected/sign_corrected_consistency_2m.png |
| 2026-03-10 20:25:53,862 - INFO - Saved: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/within_cat_consistency/within_cat_consistency_2m.png |
| 2026-03-10 20:25:54,472 - INFO - Saved: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/sign_corrected/sign_corrected_consistency_2m.png |
| 2026-03-10 20:27:07,554 - INFO - Saved PCA plots to /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/pca |
| 2026-03-10 20:27:43,424 - INFO - Saved 3D PCA plots to /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/pca_3d |
| 2026-03-10 20:28:41,462 - INFO - Saved PCA plots to /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/pca |
| 2026-03-10 20:29:11,801 - INFO - Saved 3D PCA plots to /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/pca_3d |
| 2026-03-10 20:29:12,758 - INFO - Saved: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/pred_stats/pred_stats_2m.png |
| 2026-03-10 20:29:12,759 - INFO - |
| --- Accuracy Charts [2m] --- |
| 2026-03-10 20:29:13,767 - INFO - Saved: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/accuracy/accuracy_group_bars.png |
| 2026-03-10 20:29:14,289 - INFO - Saved: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/accuracy/accuracy_trajectory.png |
| 2026-03-10 20:29:15,075 - INFO - Saved: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/accuracy/accuracy_category.png |
| 2026-03-10 20:29:15,713 - INFO - Saved: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/accuracy/category_accuracy_2m.png |
| 2026-03-10 20:29:17,402 - INFO - Saved: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/accuracy/accuracy_chart.png |
| 2026-03-10 20:29:17,402 - INFO - |
| --- All-Layer Heatmaps [2m] --- |
| 2026-03-10 20:29:17,406 - INFO - [qwen/2m] Generating heatmaps for 36 layers... |
| 2026-03-10 20:29:18,137 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L0.png |
| 2026-03-10 20:29:18,761 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L0.png |
| 2026-03-10 20:29:19,475 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L1.png |
| 2026-03-10 20:29:20,096 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L1.png |
| 2026-03-10 20:29:20,827 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L2.png |
| 2026-03-10 20:29:21,451 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L2.png |
| 2026-03-10 20:29:22,175 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L3.png |
| 2026-03-10 20:29:22,808 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L3.png |
| 2026-03-10 20:29:23,876 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L4.png |
| 2026-03-10 20:29:24,499 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L4.png |
| 2026-03-10 20:29:25,222 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L5.png |
| 2026-03-10 20:29:25,833 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L5.png |
| 2026-03-10 20:29:26,559 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L6.png |
| 2026-03-10 20:29:27,169 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L6.png |
| 2026-03-10 20:29:27,873 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L7.png |
| 2026-03-10 20:29:28,483 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L7.png |
| 2026-03-10 20:29:29,181 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L8.png |
| 2026-03-10 20:29:29,779 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L8.png |
| 2026-03-10 20:29:30,469 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L9.png |
| 2026-03-10 20:29:31,083 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L9.png |
| 2026-03-10 20:29:31,819 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L10.png |
| 2026-03-10 20:29:32,421 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L10.png |
| 2026-03-10 20:29:33,118 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L11.png |
| 2026-03-10 20:29:33,713 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L11.png |
| 2026-03-10 20:29:34,770 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L12.png |
| 2026-03-10 20:29:35,372 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L12.png |
| 2026-03-10 20:29:36,073 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L13.png |
| 2026-03-10 20:29:36,674 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L13.png |
| 2026-03-10 20:29:37,372 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L14.png |
| 2026-03-10 20:29:37,968 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L14.png |
| 2026-03-10 20:29:38,676 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L15.png |
| 2026-03-10 20:29:39,278 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L15.png |
| 2026-03-10 20:29:39,987 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L16.png |
| 2026-03-10 20:29:40,591 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L16.png |
| 2026-03-10 20:29:41,295 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L17.png |
| 2026-03-10 20:29:41,899 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L17.png |
| 2026-03-10 20:29:42,593 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L18.png |
| 2026-03-10 20:29:43,187 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L18.png |
| 2026-03-10 20:29:43,882 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L19.png |
| 2026-03-10 20:29:44,474 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L19.png |
| 2026-03-10 20:29:45,513 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L20.png |
| 2026-03-10 20:29:46,107 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L20.png |
| 2026-03-10 20:29:46,802 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L21.png |
| 2026-03-10 20:29:47,397 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L21.png |
| 2026-03-10 20:29:48,095 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L22.png |
| 2026-03-10 20:29:48,689 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L22.png |
| 2026-03-10 20:29:49,374 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L23.png |
| 2026-03-10 20:29:49,969 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L23.png |
| 2026-03-10 20:29:50,658 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L24.png |
| 2026-03-10 20:29:51,248 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L24.png |
| 2026-03-10 20:29:51,941 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L25.png |
| 2026-03-10 20:29:52,533 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L25.png |
| 2026-03-10 20:29:53,233 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L26.png |
| 2026-03-10 20:29:53,832 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L26.png |
| 2026-03-10 20:29:54,525 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L27.png |
| 2026-03-10 20:29:55,119 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L27.png |
| 2026-03-10 20:29:55,811 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L28.png |
| 2026-03-10 20:29:56,767 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L28.png |
| 2026-03-10 20:29:57,461 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L29.png |
| 2026-03-10 20:29:58,055 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L29.png |
| 2026-03-10 20:29:58,749 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L30.png |
| 2026-03-10 20:29:59,339 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L30.png |
| 2026-03-10 20:30:00,033 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L31.png |
| 2026-03-10 20:30:00,623 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L31.png |
| 2026-03-10 20:30:01,318 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L32.png |
| 2026-03-10 20:30:01,910 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L32.png |
| 2026-03-10 20:30:02,607 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L33.png |
| 2026-03-10 20:30:03,200 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L33.png |
| 2026-03-10 20:30:03,897 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L34.png |
| 2026-03-10 20:30:04,503 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L34.png |
| 2026-03-10 20:30:05,202 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/heatmap/heatmap_2m_L35.png |
| 2026-03-10 20:30:05,801 - INFO - Saved delta heatmap: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/heatmap/heatmap_2m_L35.png |
| 2026-03-10 20:30:05,801 - INFO - [qwen/2m] Saved 72 heatmaps |
| 2026-03-10 20:30:05,802 - INFO - |
| --- All-Layer PCA [2m] --- |
| 2026-03-10 20:30:05,802 - INFO - [qwen/2m] Generating all-layer 2D PCA... |
| 2026-03-10 20:31:18,206 - INFO - Saved PCA plots to /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/pca |
| 2026-03-10 20:31:18,207 - INFO - [qwen/2m] Generating all-layer 3D PCA... |
| 2026-03-10 20:31:53,498 - INFO - Saved 3D PCA plots to /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/all/pca_3d |
| 2026-03-10 20:31:53,499 - INFO - [qwen/2m] Generating both-correct 2D PCA... |
| 2026-03-10 20:32:59,216 - INFO - Saved PCA plots to /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/pca |
| 2026-03-10 20:32:59,217 - INFO - [qwen/2m] Generating both-correct 3D PCA... |
| 2026-03-10 20:33:33,944 - INFO - Saved 3D PCA plots to /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data/qwen_2m/plots/both_correct/pca_3d |
| 2026-03-10 20:33:33,946 - INFO - |
| --- Phase B: Cross-group extraction [SKIPPED: --skip-phase-b] --- |
| 2026-03-10 20:33:34,131 - INFO - |
| Scale 2m complete. |
| 2026-03-10 20:33:34,133 - INFO - |
| ============================================================ |
| 2026-03-10 20:33:34,133 - INFO - === All scales complete === |
| 2026-03-10 20:33:34,133 - INFO - Results: /data/shared/Qwen/experiments/swap_analysis_cvbench/short_answer/saved_data |
| 2026-03-10 20:33:34,133 - INFO - ============================================================ |
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