Name | RF_SAVE_ALL_OUT_NOJRAN_IGNORE_THE_REST_validation_env_g_pred_350_16903_6_1 |
Workunit | 4851124 |
Created | 14 Jun 2024, 18:24:15 UTC |
Sent | 14 Jun 2024, 18:24:36 UTC |
Report deadline | 15 Jun 2024, 18:24:36 UTC |
Received | 15 Jun 2024, 0:19:32 UTC |
Server state | Over |
Outcome | Success |
Client state | Done |
Exit status | 0 (0x00000000) |
Computer ID | 47660 |
Run time | 1 hours 0 min 38 sec |
CPU time | |
Validate state | Valid |
Credit | 92.79 |
Device peak FLOPS | 3.91 GFLOPS |
Application version | Generalized biomolecular modeling and design with RoseTTAFold All-Atom v0.02 (hinv) windows_x86_64 |
Peak working set size | 2,052.46 MB |
Peak swap size | 6,210.72 MB |
Peak disk usage | 3.62 MB |
<core_client_version>7.24.1</core_client_version> <![CDATA[ <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 1106, in forward msa, pair, xyz, state, alpha, symmsub = self.main_block[i_m](msa, pair, 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 929, in forward xyz, state, alpha = self.str2str( 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\ev0\lib\site-packages\torch\cuda\amp\autocast_mode.py", line 141, in decorate_autocast return func(*args, **kwargs) File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\cv2\rf2aa\Track_module.py", line 503, in forward shift = self.se3(G, node.reshape(B*L, -1, 1), l1_feats, edge_feats) 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\SE3_network.py", line 96, in forward return self.se3(G, node_features, edge_features) 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/SE3Transformer\se3_transformer\model\transformer.py", line 185, in forward node_feats = self.graph_modules(node_feats, edge_feats, graph=graph, basis=basis) 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/SE3Transformer\se3_transformer\model\transformer.py", line 47, in forward input = module(input, *args, **kwargs) 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/SE3Transformer\se3_transformer\model\layers\attention.py", line 162, in forward fused_key_value = self.to_key_value(node_features, edge_features, graph, basis) 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/SE3Transformer\se3_transformer\model\layers\convolution.py", line 347, in forward out += self.conv_in[str(degree_in)](feature, invariant_edge_feats, 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/SE3Transformer\se3_transformer\model\layers\convolution.py", line 194, in forward retslice = (radial_weights.float() @ tmp)[:, :, :out_dim] RuntimeError: [enforce fail at ..\c10\core\CPUAllocator.cpp:79] data. DefaultCPUAllocator: not enough memory: you tried to allocate 16777216 bytes. 19:11:53 (11092): called boinc_finish(0) </stderr_txt> ]]>
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