Task 5456796

Name RF_SAVE_ALL_OUT_NOJRAN_IGNORE_THE_REST_validation_env_f_pred_114_16902_6_0
Workunit 4847345
Created 12 Jun 2024, 23:57:41 UTC
Sent 13 Jun 2024, 1:58:04 UTC
Report deadline 14 Jun 2024, 1:58:04 UTC
Received 13 Jun 2024, 2:31:01 UTC
Server state Over
Outcome Computation error
Client state Compute error
Exit status 12 (0x0000000C) Unknown error code
Computer ID 47675
Run time 26 sec
CPU time
Validate state Invalid
Credit 0.00
Device peak FLOPS 3.47 GFLOPS
Application version Generalized biomolecular modeling and design with RoseTTAFold All-Atom v0.02 (nvidia_alpha)
windows_x86_64
Peak working set size 439.25 MB
Peak swap size 6,167.00 MB
Peak disk usage 2.09 MB

Stderr output

<core_client_version>7.24.1</core_client_version>
<![CDATA[
<message>
 - exit code 12 (0xc)</message>
<stderr_txt>
D:\Programs\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:\Programs\BOINC\Data\projects\ralph.bakerlab.org\cv2\rf2aa\predict.py", line 708, in <module>
    pred.predict(out_name+f'_{n}', 
  File "D:\Programs\BOINC\Data\projects\ralph.bakerlab.org\cv2\rf2aa\predict.py", line 506, in predict
    mask_t_2d = util.get_prot_sm_mask(mask_t, seq_unmasked[0]) 
  File "D:\Programs\BOINC\Data\projects\ralph.bakerlab.org\cv2\rf2aa\util.py", line 39, in get_prot_sm_mask
    sm_mask = is_atom(seq).to(atom_mask.device) 
  File "D:\Programs\BOINC\Data\projects\ralph.bakerlab.org\cv2\rf2aa\util.py", line 159, in is_atom
    return seq > NNAPROTAAS
RuntimeError: CUDA error: no kernel image is available for execution on the device
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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