| Name | wu_110_g32201_0 |
| Workunit | 266966 |
| 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, 23:44:40 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11 |
| Run time | 11 min 38 sec |
| CPU time | 8 min 39 sec |
| Priority | 0 |
| Validate state | Valid |
| Credit | 6.95 |
| Device peak FLOPS | 1.00 GFLOPS |
| Application version | Axiom Federated AI v2.17 windows_x86_64 |
| Peak working set size | 1.96 GB |
| Peak swap size | 4.35 GB |
| Peak disk usage | 13.70 KB |
<core_client_version>8.0.4</core_client_version>
<![CDATA[
<stderr_txt>
03:19:29 (1500): wrapper (7.7.26016): starting
03:19:29 (1500): 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_110_v2.0.bin (42580994 params)
INFO: Found 6 local files to train on.
INFO: Converted 2624704 bits from local files.
[Worker] Running 30 batches for expert 110...
[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 565, in _forward_chunk
attn = A @ V # [B, nh, S, dh]
~~^~~
numpy._core._exceptions._ArrayMemoryError: Unable to allocate 12.0 MiB for an array with shape (64, 12, 64, 64) and data type float32
03:33:56 (1500): axiom_worker_2.17_windows_x86_64.exe exited; CPU time 523.593750
03:34:07 (1500): called boinc_finish(0)
</stderr_txt>
]]>