Task 5465354

Name RF_SAVE_ALL_OUT_NOJRAN_IGNORE_THE_REST_validation_env_g_pred_359_16903_6_1
Workunit 4851162
Created 15 Jun 2024, 15:36:32 UTC
Sent 15 Jun 2024, 15:37:03 UTC
Report deadline 16 Jun 2024, 15:37:03 UTC
Received 15 Jun 2024, 15:54:22 UTC
Server state Over
Outcome Computation error
Client state Compute error
Exit status 12 (0x0000000C) Unknown error code
Computer ID 46881
Run time 1 min 5 sec
CPU time
Validate state Invalid
Credit 0.00
Device peak FLOPS 4.32 GFLOPS
Application version Generalized biomolecular modeling and design with RoseTTAFold All-Atom v0.02 (nvidia_alpha)
windows_x86_64
Peak working set size 1,803.27 MB
Peak swap size 6,257.24 MB
Peak disk usage 2.10 MB

Stderr output

<core_client_version>8.0.2</core_client_version>
<![CDATA[
<message>
Der Zugriffscode ist unzul�ssig.
 (0xc) - exit code 12 (0xc)</message>
<stderr_txt>
Traceback (most recent call last):
  File "D:\Boinc-Daten\projects\ralph.bakerlab.org\cv2\rf2aa\predict.py", line 692, in <module>
    pred = Predictor(args)
  File "D:\Boinc-Daten\projects\ralph.bakerlab.org\cv2\rf2aa\predict.py", line 270, in __init__
    self.model = RoseTTAFoldModule(
  File "D:\Boinc-Daten\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 852, in to
    return self._apply(convert)
  File "D:\Boinc-Daten\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 530, in _apply
    module._apply(fn)
  File "D:\Boinc-Daten\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 530, in _apply
    module._apply(fn)
  File "D:\Boinc-Daten\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 530, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File "D:\Boinc-Daten\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 552, in _apply
    param_applied = fn(param)
  File "D:\Boinc-Daten\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; 3.00 GiB total capacity; 17.99 MiB already allocated; 1.99 GiB free; 18.00 MiB reserved in total by PyTorch)

</stderr_txt>
]]>




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