Name | RF_SAVE_ALL_OUT_NOJRAN_IGNORE_THE_REST_validation_env_g_pred_30_16903_5_1 |
Workunit | 4849261 |
Created | 14 Jun 2024, 1:15:21 UTC |
Sent | 14 Jun 2024, 5:28:24 UTC |
Report deadline | 15 Jun 2024, 5:28:24 UTC |
Received | 14 Jun 2024, 10:57:30 UTC |
Server state | Over |
Outcome | Computation error |
Client state | Compute error |
Exit status | 12 (0x0000000C) Unknown error code |
Computer ID | 48783 |
Run time | 6 sec |
CPU time | |
Validate state | Invalid |
Credit | 0.00 |
Device peak FLOPS | 5.29 GFLOPS |
Application version | Generalized biomolecular modeling and design with RoseTTAFold All-Atom v0.02 (nvidia_alpha) windows_x86_64 |
Peak working set size | 221.81 MB |
Peak swap size | 4,349.29 MB |
Peak disk usage | 2.12 MB |
<core_client_version>7.24.1</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\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 270, in __init__ self.model = RoseTTAFoldModule( File "D:\BOINC\DATA\projects\ralph.bakerlab.org\cv2\rf2aa\RoseTTAFoldModel.py", line 102, in __init__ self.simulator = IterativeSimulator( File "D:\BOINC\DATA\projects\ralph.bakerlab.org\cv2\rf2aa\Track_module.py", line 999, in __init__ self.main_block = nn.ModuleList([IterBlock(d_msa=d_msa, d_pair=d_pair, File "D:\BOINC\DATA\projects\ralph.bakerlab.org\cv2\rf2aa\Track_module.py", line 999, in <listcomp> self.main_block = nn.ModuleList([IterBlock(d_msa=d_msa, d_pair=d_pair, File "D:\BOINC\DATA\projects\ralph.bakerlab.org\cv2\rf2aa\Track_module.py", line 885, in __init__ self.msa2msa = MSAPairStr2MSA(d_msa=d_msa, d_pair=d_pair, d_rbf=d_rbf, File "D:\BOINC\DATA\projects\ralph.bakerlab.org\cv2\rf2aa\Track_module.py", line 83, in __init__ self.ff = FeedForwardLayer(d_msa, 4, p_drop=p_drop) File "D:\BOINC\DATA\projects\ralph.bakerlab.org\cv2\rf2aa\Attention_module.py", line 13, in __init__ self.linear2 = nn.Linear(d_model*r_ff, d_model) File "D:\BOINC\DATA\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\linear.py", line 81, in __init__ self.weight = Parameter(torch.empty((out_features, in_features), **factory_kwargs)) RuntimeError: [enforce fail at ..\c10\core\CPUAllocator.cpp:79] data. DefaultCPUAllocator: not enough memory: you tried to allocate 1048576 bytes. </stderr_txt> ]]>
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