Job instance 271221

Stderr output

<core_client_version>8.0.2</core_client_version>
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<stderr_txt>
14:23:08 (19756): wrapper (7.7.26016): starting
14:23:08 (19756): 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: Downloading model: https://axiom.heliex.net/pyhelix/model/expert_189_v2.0.bin
ERROR: Failed to download model: Unable to allocate 162. MiB for an array with shape (42580994,) and data type float32
INFO: Found 5 local files to train on.
INFO: Converted 2621760 bits from local files.
[Worker] Running 30 batches for expert 189...
[Worker] FATAL ERROR: MemoryError: Unable to allocate 48.0 MiB for an array with shape (64, 64, 3072) and data type float32
Traceback (most recent call last):
  File "worker_boinc_app.py", line 1699, in main
  File "worker_boinc_app.py", line 1322, in step
  File "simple_ml.py", line 1176, in backward
    return self.expert.backward_softmax_cross_entropy(x, y_idx, logits)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "simple_ml.py", line 649, in backward_softmax_cross_entropy
    self._backward_chunk(x, y_idx, logits, sc['ctx'], grads, B_total)
  File "simple_ml.py", line 728, in _backward_chunk
    d_z1 = d_a1 * (lc['z1'] > 0)
           ~~~~~^~~~~~~~~~~~~~~~
numpy._core._exceptions._ArrayMemoryError: Unable to allocate 48.0 MiB for an array with shape (64, 64, 3072) and data type float32

14:24:52 (19756): axiom_worker_2.17_windows_x86_64.exe exited; CPU time 167.828125
14:24:52 (19756): called boinc_finish(0)

</stderr_txt>
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