Task 5462393

Name	RF_SAVE_ALL_OUT_NOJRAN_IGNORE_THE_REST_validation_env_g_pred_236_16903_4_0
Workunit	4850412
Created	14 Jun 2024, 4:40:20 UTC
Sent	14 Jun 2024, 9:10:52 UTC
Report deadline	15 Jun 2024, 9:10:52 UTC
Received	14 Jun 2024, 9:21:40 UTC
Server state	Over
Outcome	Computation error
Client state	Compute error
Exit status	12 (0x0000000C) Unknown error code
Computer ID	49966
Run time	3 min 38 sec
CPU time
Validate state	Invalid
Credit	0.00
Device peak FLOPS	3.43 GFLOPS
Application version	Generalized biomolecular modeling and design with RoseTTAFold All-Atom v0.02 (nvidia_alpha) windows_x86_64
Peak working set size	1,992.79 MB
Peak swap size	6,652.77 MB
Peak disk usage	2.12 MB

Stderr output

<core_client_version>7.22.2</core_client_version> <![CDATA[ <message> The access code is invalid. (0xc) - exit code 12 (0xc)</message> <stderr_txt> Traceback (most recent call last): File "D:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\predict.py", line 692, in <module> pred = Predictor(args) File "D:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\predict.py", line 270, in __init__ self.model = RoseTTAFoldModule( File "D:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 852, in to return self._apply(convert) File "D:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 530, in _apply module._apply(fn) File "D:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 530, in _apply module._apply(fn) File "D:\ProgramData\BOINC\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 "D:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 552, in _apply param_applied = fn(param) File "D:\ProgramData\BOINC\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 out of memory. Tried to allocate 2.00 MiB (GPU 0; 8.00 GiB total capacity; 295.88 MiB already allocated; 0 bytes free; 296.00 MiB reserved in total by PyTorch) </stderr_txt> ]]>