feat(moe-aux-loss-free): aux-free MoE plugin (Mixtral/Qwen3), EMA bias updates, config keys; E2E smoke + parity tests

2025-10-27 00:14:38 +09:00
parent 5b2e3f00ce
commit 3e4688289c
9 changed files with 697 additions and 0 deletions
--- a/tests/e2e/test_qwen3_moe_aux_free.py
+++ b/tests/e2e/test_qwen3_moe_aux_free.py
@@ -0,0 +1,76 @@
+"""
+E2E smoke test for Aux-Loss-Free MoE routing on Qwen3-MoE tiny
+"""
+
+import unittest
+
+import torch
+
+from axolotl.common.datasets import load_datasets
+from axolotl.train import train
+from axolotl.utils.config import normalize_config, validate_config, prepare_plugins
+from axolotl.utils.dict import DictDefault
+
+from .utils import check_model_output_exists, with_temp_dir
+
+
+class TestQwen3MoeAuxFree(unittest.TestCase):
+    @with_temp_dir
+    def test_qwen3_moe_aux_free_smoke(self, temp_dir):
+        cfg = DictDefault(
+            {
+                "base_model": "trl-internal-testing/tiny-Qwen3MoeForCausalLM",
+                "tokenizer_config": "trl-internal-testing/tiny-Qwen3MoeForCausalLM",
+                "flash_attention": False,
+                "sequence_len": 512,
+                "bf16": False,
+                "fp16": False,
+                "val_set_size": 0.02,
+                "special_tokens": {},
+                "datasets": [
+                    {
+                        "path": "mhenrichsen/alpaca_2k_test",
+                        "type": "alpaca",
+                    },
+                ],
+                "num_epochs": 1,
+                "micro_batch_size": 2,
+                "gradient_accumulation_steps": 1,
+                "output_dir": temp_dir,
+                "learning_rate": 1e-5,
+                "optimizer": "adamw_torch",
+                "lr_scheduler": "cosine",
+                "max_steps": 5,
+                "save_steps": 0,
+                "eval_steps": 0,
+                "save_first_step": False,
+                # Aux-free plugin and toggles
+                "plugins": [
+                    "axolotl.integrations.aux_free_router.plugin.AuxFreeMoEPlugin",
+                ],
+                "moe_balance_type": "noaux_tc",
+                "moe_update_rate": 0.01,
+                "moe_update_momentum": 0.9,
+                "moe_bias_cap": 2.0,
+            }
+        )
+
+        cfg = validate_config(cfg)
+        normalize_config(cfg)
+        prepare_plugins(cfg)
+        dataset_meta = load_datasets(cfg=cfg)
+
+        model, _, _ = train(cfg=cfg, dataset_meta=dataset_meta)
+
+        # check that at least one sparse MoE block has been patched
+        found = False
+        for m in model.modules():
+            if m.__class__.__name__.endswith("SparseMoeBlock") and hasattr(m, "_afb_patched"):
+                assert m._afb_patched is True
+                assert hasattr(m, "_afb_bias") and m._afb_bias.ndim == 1
+                assert hasattr(m, "_afb_counts") and m._afb_counts.ndim == 1
+                found = True
+                break
+        assert found, "No Qwen3-MoE sparse block patched by aux-free plugin"
+
+        check_model_output_exists(temp_dir, cfg)