/usr/local/lib/python3.12/dist-packages/torch/library.py:356: UserWarning: Warning only once for all operators,  other operators may also be overridden.
  Overriding a previously registered kernel for the same operator and the same dispatch key
  operator: flash_attn::_flash_attn_backward(Tensor dout, Tensor q, Tensor k, Tensor v, Tensor out, Tensor softmax_lse, Tensor(a6!)? dq, Tensor(a7!)? dk, Tensor(a8!)? dv, float dropout_p, float softmax_scale, bool causal, SymInt window_size_left, SymInt window_size_right, float softcap, Tensor? alibi_slopes, bool deterministic, Tensor? rng_state=None) -> Tensor
    registered at /usr/local/lib/python3.12/dist-packages/torch/_library/custom_ops.py:922
  dispatch key: ADInplaceOrView
  previous kernel: no debug info
       new kernel: registered at /usr/local/lib/python3.12/dist-packages/torch/_library/custom_ops.py:922 (Triggered internally at /opt/pytorch/pytorch/aten/src/ATen/core/dispatch/OperatorEntry.cpp:208.)
  self.m.impl(
[transformers] The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d
[INFO] cargando checkpoint mergeado desde /workspace/ft-models/Qwen3.6-35B-A3B-mcp-v2b-bf16

Loading weights:   0%|          | 0/693 [00:00<?, ?it/s]
Loading weights:  66%|██████▌   | 457/693 [00:00<00:00, 4566.97it/s]
Loading weights: 100%|██████████| 693/693 [00:00<00:00, 6103.32it/s]
[INFO] modelo cargado en 298.1s
[INFO] 147 ejemplos en data/eval.jsonl
[INFO] 25/147 ejemplos evaluados
[INFO] 50/147 ejemplos evaluados
[INFO] 75/147 ejemplos evaluados
[INFO] 100/147 ejemplos evaluados
[INFO] 125/147 ejemplos evaluados

=== Puerta 1 -- eval-loss offline por bucket (checkpoint mergeado) ===
[INFO] EVAL_FILE=data/eval.jsonl
[INFO] BASELINE_EVAL_LOSS=0.2750
[INFO] tiempo de eval: 138.7s, memoria pico: 69.52 GB

  bucket                    n  tokens   simple  ponderado  baseline    delta
  delegacion_subagentes     6    1351   1.3580     1.1657    1.0775  +0.0882
  manejo_errores            6    1691   0.6403     0.6350    0.5579  +0.0771
  negativos                 7     920   1.7187     1.7455    1.7138  +0.0317
  otros_mcps               29    5614   0.3849     0.4088    0.3973  +0.0115
  penpot                   11    2075   0.8814     0.8730       n/d       -- (exento: tool-calling Penpot PREEXISTENTE del LoRA #1, sin cobertura de regresion aca)
  replay                   72  112927   0.1807     0.1833    0.1733  +0.0100
  skills_adherencia        16    4271   1.4482     1.4177    1.3304  +0.0873

  bucket=replay (aislado)  n=  72 loss_avg_simple=0.1807 loss_avg_weighted=0.1833

  loss_avg GLOBAL simple (por ejemplo)     = 0.5514
  loss_avg GLOBAL ponderado (por token)     = 0.2725
  baseline (ponderado por token)           = 0.2750
  diferencia absoluta (ponderado vs baseline) = 0.0025
  [OK] loss del checkpoint mergeado consistente con el baseline -- merge probablemente correcto

=== Veredicto de la puerta de olvido ===
  [PASS] perdida ponderada global 0.2725 <= 0.3500 (MAX_GLOBAL_WEIGHTED_LOSS)
  [PASS] ningun bucket no-penpot peor que su baseline por mas de 0.1000 (MAX_BUCKET_REGRESSION) -- umbral evaluado sobre 6/7 buckets

  VEREDICTO PUERTA 1: PASS
EXIT_CODE:0