Task 5461847

Name	RF_SAVE_ALL_OUT_NOJRAN_IGNORE_THE_REST_validation_env_g_pred_38_16903_4_1
Workunit	4849244
Created	14 Jun 2024, 2:20:25 UTC
Sent	14 Jun 2024, 4:22:38 UTC
Report deadline	15 Jun 2024, 4:22:38 UTC
Received	14 Jun 2024, 4:25:15 UTC
Server state	Over
Outcome	Computation error
Client state	Compute error
Exit status	12 (0x0000000C) Unknown error code
Computer ID	34688
Run time	8 sec
CPU time
Validate state	Invalid
Credit	0.00
Device peak FLOPS	5.09 GFLOPS
Application version	Generalized biomolecular modeling and design with RoseTTAFold All-Atom v0.02 (nvidia_alpha) windows_x86_64
Peak working set size	233.25 MB
Peak swap size	4,363.30 MB
Peak disk usage	2.11 MB

Stderr output

<core_client_version>7.24.1</core_client_version> <![CDATA[ <message> The access code is invalid. (0xc) - exit code 12 (0xc)</message> <stderr_txt> D:\BOINC_data\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\cuda\__init__.py:83: UserWarning: Found GPU%d %s which is of cuda capability %d.%d. PyTorch no longer supports this GPU because it is too old. The minimum cuda capability supported by this library is %d.%d. warnings.warn(old_gpu_warn.format(d, name, major, minor, min_arch // 10, min_arch % 10)) Traceback (most recent call last): File "D:\BOINC_data\projects\ralph.bakerlab.org\cv2\rf2aa\predict.py", line 692, in <module> pred = Predictor(args) File "D:\BOINC_data\projects\ralph.bakerlab.org\cv2\rf2aa\predict.py", line 272, in __init__ aamask = util.allatom_mask.to(self.device), 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> ]]>