Task 5460353

Name	RF_SAVE_ALL_OUT_NOJRAN_IGNORE_THE_REST_validation_env_g_pred_31_16903_1_0
Workunit	4849162
Created	13 Jun 2024, 22:50:07 UTC
Sent	13 Jun 2024, 23:27:40 UTC
Report deadline	14 Jun 2024, 23:27:40 UTC
Received	14 Jun 2024, 11:51:17 UTC
Server state	Over
Outcome	Success
Client state	Done
Exit status	0 (0x00000000)
Computer ID	47660
Run time	11 hours 37 min 54 sec
CPU time	3 sec
Validate state	Valid
Credit	379.21
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	1,785.18 MB
Peak swap size	6,318.66 MB
Peak disk usage	5.37 MB
Stderr output

<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 1084, in forward
    msa_full, pair, xyz, state, alpha, symmsub = self.extra_block[i_m](msa_full, 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 186, in forward
    radial_weights = self.radial_func(invariant_edge_feats[e_i:e_j]) \
  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 118, in forward
    return self.net(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\ev0\lib\site-packages\torch\nn\modules\container.py", line 139, in forward
    input = module(input)
  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\nn\modules\linear.py", line 96, in forward
    return F.linear(input, self.weight, self.bias)
  File "C:\ProgramData\BOINC\projects\ralph.bakerlab.org\ev0\lib\site-packages\torch\nn\functional.py", line 1847, in linear
    return torch._C._nn.linear(input, weight, bias)
RuntimeError: [enforce fail at ..\c10\core\CPUAllocator.cpp:79] data. DefaultCPUAllocator: not enough memory: you tried to allocate 536870912 bytes.
06:42:47 (8044): called boinc_finish(0)

</stderr_txt>
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