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 |
<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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