Task 5463275

Name	RF_SAVE_ALL_OUT_NOJRAN_IGNORE_THE_REST_validation_env_g_pred_346_16903_2_0
Workunit	4851010
Created	14 Jun 2024, 8:19:01 UTC
Sent	14 Jun 2024, 12:27:57 UTC
Report deadline	15 Jun 2024, 12:27:57 UTC
Received	14 Jun 2024, 12:49:03 UTC
Server state	Over
Outcome	Computation error
Client state	Compute error
Exit status	12 (0x0000000C) Unknown error code
Computer ID	45917
Run time	17 min 19 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	2,877.84 MB
Peak swap size	8,316.07 MB
Peak disk usage	2.11 MB

Stderr output

<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 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: CUDA out of memory. Tried to allocate 512.00 MiB (GPU 0; 2.00 GiB total capacity; 942.70 MiB already allocated; 0 bytes free; 1.29 GiB reserved in total by PyTorch)

</stderr_txt>
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