Job instance 264519

Name wu_112_g32201_0
Workunit 266968
Created 30 Jan 2026, 8:42:37 UTC
Sent 30 Jan 2026, 9:04:08 UTC
Report deadline 6 Feb 2026, 9:04:08 UTC
Received 31 Jan 2026, 23:44:19 UTC
Server state Over
Outcome Success
Client state Done
Exit status 0 (0x00000000)
Computer ID 11
Run time 56 min 59 sec
CPU time 54 min 2 sec
Priority 0
Validate state Valid
Credit 34.03
Device peak FLOPS 1.00 GFLOPS
Application version Axiom Federated AI v2.17
windows_x86_64
Peak working set size 2.24 GB
Peak swap size 5.59 GB
Peak disk usage 14.60 KB

Stderr output

<core_client_version>8.0.4</core_client_version>
<![CDATA[
<stderr_txt>
02:46:40 (32208): wrapper (7.7.26016): starting
02:46:40 (32208): wrapper: running ../../projects/axiom.heliex.net/axiom_worker_2.17_windows_x86_64.exe (wu.json result.json)
[CPU] Using NumPy
[Worker] Saved 5 gradient files to contribute folder (gradient sharing)
INFO: Loaded model from cache: expert_112_v2.0.bin (42580994 params)
[Worker] Running 30 batches for expert 112...
[Worker] FATAL ERROR: MemoryError: Unable to allocate 12.0 MiB for an array with shape (64, 12, 64, 64) and data type float32
Traceback (most recent call last):
  File "worker_boinc_app.py", line 1699, in main
  File "worker_boinc_app.py", line 1320, in step
  File "simple_ml.py", line 1172, in forward
    return self.expert.forward(x)
           ^^^^^^^^^^^^^^^^^^^^^^
  File "simple_ml.py", line 513, in forward
    logits, ctx = self._forward_chunk(x)
                  ^^^^^^^^^^^^^^^^^^^^^^
  File "simple_ml.py", line 561, in _forward_chunk
    exp_scores = np.exp(scores - scores_max)
                        ~~~~~~~^~~~~~~~~~~~
numpy._core._exceptions._ArrayMemoryError: Unable to allocate 12.0 MiB for an array with shape (64, 12, 64, 64) and data type float32

04:00:21 (32208): axiom_worker_2.17_windows_x86_64.exe exited; CPU time 3242.468750
04:00:21 (32208): called boinc_finish(0)

</stderr_txt>
]]>

Network Statistics
37
Contributors
11,687,670
Total Syncs
420
Experts
28,931,358
Credits
BOINC
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