Name | RF_SAVE_ALL_OUT_NOJRAN_IGNORE_THE_REST_validation_env_g_pred_162_16903_1_1 |
Workunit | 4849918 |
Created | 15 Jun 2024, 6:16:23 UTC |
Sent | 15 Jun 2024, 6:16:35 UTC |
Report deadline | 16 Jun 2024, 6:16:35 UTC |
Received | 15 Jun 2024, 8:27:24 UTC |
Server state | Over |
Outcome | Success |
Client state | Done |
Exit status | 0 (0x00000000) |
Computer ID | 40032 |
Run time | 1 hours 42 min 8 sec |
CPU time | |
Validate state | Valid |
Credit | 212.13 |
Device peak FLOPS | 5.06 GFLOPS |
Application version | Generalized biomolecular modeling and design with RoseTTAFold All-Atom v0.02 (nvidia_alpha) windows_x86_64 |
Peak working set size | 4,184.49 MB |
Peak swap size | 8,908.20 MB |
Peak disk usage | 3.86 MB |
<core_client_version>7.24.1</core_client_version> <![CDATA[ <stderr_txt> Traceback (most recent call last): File "D:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\predict.py", line 708, in <module> pred.predict(out_name+f'_{n}', File "D:\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 "D:\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 "D:\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 "D:\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 "D:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\Track_module.py", line 1135, in forward dljdxyz, dljdalpha = calc_lj_grads( File "D:\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 "D:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\loss.py", line 1316, in calc_lj_grads Elj = calc_lj( File "D:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\loss.py", line 1143, in calc_lj ljval = lj( File "D:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\loss.py", line 1043, in forward intrares = (rii[ridx]==rjj[ridx]) RuntimeError: CUDA out of memory. Tried to allocate 60.00 MiB (GPU 0; 8.00 GiB total capacity; 1.53 GiB already allocated; 0 bytes free; 1.77 GiB reserved in total by PyTorch) 03:58:47 (49972): called boinc_finish(0) </stderr_txt> ]]>
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