Name | RF_SAVE_ALL_OUT_NOJRAN_IGNORE_THE_REST_validation_env_g_pred_142_16903_4_1 |
Workunit | 4849848 |
Created | 15 Jun 2024, 3:04:45 UTC |
Sent | 15 Jun 2024, 3:07:06 UTC |
Report deadline | 16 Jun 2024, 3:07:06 UTC |
Received | 15 Jun 2024, 3:29:57 UTC |
Server state | Over |
Outcome | Computation error |
Client state | Compute error |
Exit status | 12 (0x0000000C) Unknown error code |
Computer ID | 45917 |
Run time | 18 min 29 sec |
CPU time | |
Validate state | Invalid |
Credit | 0.00 |
Device peak FLOPS | 4.09 GFLOPS |
Application version | Generalized biomolecular modeling and design with RoseTTAFold All-Atom v0.02 (nvidia_alpha) windows_x86_64 |
Peak working set size | 3,246.12 MB |
Peak swap size | 8,443.90 MB |
Peak disk usage | 2.11 MB |
<core_client_version>8.0.2</core_client_version> <![CDATA[ <message> Neplatn� p��stupov� k�d. (0xc) - exit code 12 (0xc)</message> <stderr_txt> Traceback (most recent call last): File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\predict.py", line 708, in <module> pred.predict(out_name+f'_{n}', File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\predict.py", line 551, in predict logit_s, logit_aa_s, logit_pae, logit_pde, p_bind, pred_crds, alpha, pred_allatom, pred_lddt_binned, msa_prev, pair_prev, state_prev = self.model( File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 1051, in _call_impl return forward_call(*input, **kwargs) File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\RoseTTAFoldModel.py", line 358, in forward msa, pair, xyz, alpha_s, xyz_allatom, state, symmsub = self.simulator( File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\modules\module.py", line 1051, in _call_impl return forward_call(*input, **kwargs) File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\Track_module.py", line 1135, in forward dljdxyz, dljdalpha = calc_lj_grads( File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context return func(*args, **kwargs) File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\loss.py", line 1316, in calc_lj_grads Elj = calc_lj( File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\loss.py", line 1143, in calc_lj ljval = lj( File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\loss.py", line 1070, in forward ai,aj,seqi,seqj,ridx = ai[mask],aj[mask],seqi[mask],seqj[mask],ridx[mask] RuntimeError: CUDA out of memory. Tried to allocate 30.00 MiB (GPU 0; 2.00 GiB total capacity; 1.63 GiB already allocated; 0 bytes free; 1.73 GiB reserved in total by PyTorch) </stderr_txt> ]]>
©2024 University of Washington
http://www.bakerlab.org