| Name | wu_100_g32201_0 |
| Workunit | 266955 |
| 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, 23:45:10 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11 |
| Run time | 0 sec |
| CPU time | 0 sec |
| Priority | 0 |
| Validate state | Valid |
| Credit | 0.00 |
| Device peak FLOPS | 1.00 GFLOPS |
| Application version | Axiom Federated AI v2.17 windows_x86_64 |
<core_client_version>8.0.4</core_client_version>
<![CDATA[
<stderr_txt>
06:03:25 (6944): wrapper (7.7.26016): starting
06:03:36 (6944): 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_100_v2.0.bin (42580994 params)
[Worker] Running 30 batches for expert 100...
[Worker] FATAL ERROR: MemoryError: Unable to allocate 12.0 MiB for an array with shape (64, 64, 768) 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 576, in _forward_chunk
ln2_out, ln2_xhat, ln2_mean, ln2_inv = _layernorm_forward(h, L['ln2_g'], L['ln2_b'])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "simple_ml.py", line 324, in _layernorm_forward
out = gamma * x_hat + beta
~~~~~~~~~~~~~~^~~~~~
numpy._core._exceptions._ArrayMemoryError: Unable to allocate 12.0 MiB for an array with shape (64, 64, 768) and data type float32
06:16:11 (6944): axiom_worker_2.17_windows_x86_64.exe exited; CPU time 316.750000
06:16:23 (6944): called boinc_finish(0)
</stderr_txt>
]]>