Name | RF_SAVE_ALL_OUT_NOJRAN_IGNORE_THE_REST_validation_env_g_pred_253_16903_1_0 |
Workunit | 4850483 |
Created | 14 Jun 2024, 5:37:19 UTC |
Sent | 14 Jun 2024, 9:01:21 UTC |
Report deadline | 15 Jun 2024, 9:01:21 UTC |
Received | 14 Jun 2024, 9:26:25 UTC |
Server state | Over |
Outcome | Computation error |
Client state | Compute error |
Exit status | 12 (0x0000000C) Unknown error code |
Computer ID | 50047 |
Run time | 2 min 35 sec |
CPU time | 2 sec |
Validate state | Invalid |
Credit | 0.00 |
Device peak FLOPS | 3.65 GFLOPS |
Application version | Generalized biomolecular modeling and design with RoseTTAFold All-Atom v0.02 (nvidia_alpha) windows_x86_64 |
Peak working set size | 138.49 MB |
Peak swap size | 7,154.27 MB |
Peak disk usage | 2.11 MB |
<core_client_version>7.16.20</core_client_version> <![CDATA[ <message> Code d - exit code 12 (0xc)</message> <stderr_txt> Traceback (most recent call last): File "E:\BOINC\DATA\projects\ralph.bakerlab.org\cv2\rf2aa\predict.py", line 692, in <module> pred = Predictor(args) File "E:\BOINC\DATA\projects\ralph.bakerlab.org\cv2\rf2aa\predict.py", line 270, in __init__ self.model = RoseTTAFoldModule( File "E:\BOINC\DATA\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 852, in to return self._apply(convert) File "E:\BOINC\DATA\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 530, in _apply module._apply(fn) File "E:\BOINC\DATA\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 530, in _apply module._apply(fn) File "E:\BOINC\DATA\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 530, in _apply module._apply(fn) [Previous line repeated 3 more times] File "E:\BOINC\DATA\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 552, in _apply param_applied = fn(param) File "E:\BOINC\DATA\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 850, in convert return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking) RuntimeError: CUDA error: out of memory CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. </stderr_txt> ]]>
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