Task 5456836

Name	RF_SAVE_ALL_OUT_NOJRAN_IGNORE_THE_REST_validation_env_f_pred_129_16902_2_0
Workunit	4847385
Created	12 Jun 2024, 23:58:06 UTC
Sent	13 Jun 2024, 2:21:10 UTC
Report deadline	14 Jun 2024, 2:21:10 UTC
Received	15 Jun 2024, 4:42:13 UTC
Server state	Over
Outcome	Computation error
Client state	Compute error
Exit status	0 (0x00000000)
Computer ID	47474
Run time	15 hours 47 min 13 sec
CPU time	11 sec
Validate state	Invalid
Credit	0.00
Device peak FLOPS	3.32 GFLOPS
Application version	Generalized biomolecular modeling and design with RoseTTAFold All-Atom v0.02 (nvidia_alpha) windows_x86_64
Peak working set size	1,600.75 MB
Peak swap size	6,198.46 MB
Peak disk usage	5.81 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 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 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 526417920 bytes.
23:40:42 (22648): called boinc_finish(0)

</stderr_txt>
<message>
upload failure: <file_xfer_error>
  <file_name>RF_SAVE_ALL_OUT_NOJRAN_IGNORE_THE_REST_validation_env_f_pred_129_16902_2_0_r1515812471_0</file_name>
  <error_code>-240 (stat() failed)</error_code>
</file_xfer_error>
</message>
]]>