Task 5456057

Name	RF_SAVE_ALL_OUT_NOJRAN_IGNORE_THE_REST_validation_env_e_pred_34_16901_3_1
Workunit	4845373
Created	12 Jun 2024, 19:01:55 UTC
Sent	12 Jun 2024, 19:02:18 UTC
Report deadline	13 Jun 2024, 19:02:18 UTC
Received	12 Jun 2024, 19:13:25 UTC
Server state	Over
Outcome	Computation error
Client state	Compute error
Exit status	12 (0x0000000C) Unknown error code
Computer ID	46537
Run time	5 min 35 sec
CPU time	12 sec
Validate state	Invalid
Credit	0.00
Device peak FLOPS	3.79 GFLOPS
Application version	Generalized biomolecular modeling and design with RoseTTAFold All-Atom v0.02 (nvidia_alpha) windows_x86_64
Peak working set size	694.58 MB
Peak swap size	4,911.39 MB
Peak disk usage	0.01 MB

Stderr output

<core_client_version>7.24.1</core_client_version>
<![CDATA[
<message>
Der Zugriffscode ist unzul�ssig.
 (0xc) - exit code 12 (0xc)</message>
<stderr_txt>
C:\ProgramData\BOINC\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 "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\predict.py", line 692, in <module>
    pred = Predictor(args)
  File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\predict.py", line 282, in __init__
    checkpoint = torch.load(args.checkpoint, map_location=self.device)
  File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\serialization.py", line 607, in load
    return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
  File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\serialization.py", line 882, in _load
    result = unpickler.load()
  File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\serialization.py", line 857, in persistent_load
    load_tensor(data_type, size, key, _maybe_decode_ascii(location))
  File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\serialization.py", line 846, in load_tensor
    loaded_storages[key] = restore_location(storage, location)
  File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\serialization.py", line 824, in restore_location
    return default_restore_location(storage, map_location)
  File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\serialization.py", line 175, in default_restore_location
    result = fn(storage, location)
  File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\serialization.py", line 157, in _cuda_deserialize
    return obj.cuda(device)
  File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\_utils.py", line 79, in _cuda
    return new_type(self.size()).copy_(self, non_blocking)
  File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\cuda\__init__.py", line 528, in _lazy_new
    return super(_CudaBase, cls).__new__(cls, *args, **kwargs)
RuntimeError: CUDA out of memory. Tried to allocate 2.00 MiB (GPU 0; 1024.00 MiB total capacity; 401.96 MiB already allocated; 571.20 KiB free; 402.00 MiB reserved in total by PyTorch)

</stderr_txt>
]]>