Task 5461400

Name	RF_SAVE_ALL_OUT_NOJRAN_IGNORE_THE_REST_validation_env_g_pred_35_16903_5_1
Workunit	4849266
Created	14 Jun 2024, 0:21:08 UTC
Sent	14 Jun 2024, 4:17:50 UTC
Report deadline	15 Jun 2024, 4:17:50 UTC
Received	14 Jun 2024, 4:20:54 UTC
Server state	Over
Outcome	Computation error
Client state	Compute error
Exit status	12 (0x0000000C) Unknown error code
Computer ID	34688
Run time	20 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	1,557.19 MB
Peak swap size	6,455.95 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 282, in __init__
    checkpoint = torch.load(args.checkpoint, map_location=self.device)
  File "D:\BOINC_data\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 "D:\BOINC_data\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\serialization.py", line 882, in _load
    result = unpickler.load()
  File "D:\BOINC_data\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 "D:\BOINC_data\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\serialization.py", line 846, in load_tensor
    loaded_storages[key] = restore_location(storage, location)
  File "D:\BOINC_data\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\serialization.py", line 824, in restore_location
    return default_restore_location(storage, map_location)
  File "D:\BOINC_data\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\serialization.py", line 175, in default_restore_location
    result = fn(storage, location)
  File "D:\BOINC_data\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\serialization.py", line 157, in _cuda_deserialize
    return obj.cuda(device)
  File "D:\BOINC_data\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 "D:\BOINC_data\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; 2.00 GiB total capacity; 1.35 GiB already allocated; 0 bytes free; 1.35 GiB reserved in total by PyTorch)

</stderr_txt>
]]>