[Refactor] Unify the LTX-2 and LTX-2.3 pipeline runtime (#5147)

Signed-off-by: mglyn <1203789601@qq.com>

tests/diffusion/models/ltx2/test_ltx2_transformer.py

@@ -1,9 +1,13 @@
 # SPDX-License-Identifier: Apache-2.0
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 
+import pytest
 from torch import nn
 
-from vllm_omni.diffusion.models.ltx2.ltx2_transformer import _make_rms_norm
+from vllm_omni.diffusion.cache.cache_dit_backend import CacheDiTAdapterConfig
+from vllm_omni.diffusion.models.ltx2.ltx2_transformer import LTX2VideoTransformer3DModel, _make_rms_norm
+
+pytestmark = [pytest.mark.core_model, pytest.mark.cpu]
 
 
 def test_ltx_rms_norm_no_affine_identity_weight_is_non_persistent_buffer():
@@ -20,3 +24,29 @@ def test_ltx_rms_norm_affine_weight_remains_parameter():
     assert isinstance(dict(norm.named_parameters())["weight"], nn.Parameter)
     assert "weight" not in dict(norm.named_buffers())
     assert "weight" in norm.state_dict()
+
+
+def test_ltx_transformer_has_separate_cfg_cache_dit_config():
+    adapter_config = getattr(LTX2VideoTransformer3DModel, "_cache_dit_adapter_config")
+
+    assert isinstance(adapter_config, CacheDiTAdapterConfig)
+    assert adapter_config.has_separate_cfg
+
+
+def test_ltx_transformer_exposes_hsdp_shard_conditions_for_blocks():
+    model = object.__new__(LTX2VideoTransformer3DModel)
+    nn.Module.__init__(model)
+    model.transformer_blocks = nn.ModuleList([nn.Linear(4, 4) for _ in range(2)])
+    model.norm_out = nn.LayerNorm(4)
+
+    conditions = getattr(model, "_hsdp_shard_conditions", None)
+
+    assert conditions is not None
+    assert len(conditions) == 1
+
+    matched = []
+    for name, module in model.named_modules():
+        if any(condition(name, module) for condition in conditions):
+            matched.append(name)
+
+    assert matched == ["transformer_blocks.0", "transformer_blocks.1"]