[https://nvbugs/6566765][fix] Release Qwen MoE CUDA memory between tests

tests/integration/test_lists/waives.txt

@@ -355,9 +355,6 @@ unittest/_torch/attention/test_attention_backends.py::test_attention_backend[dee
 unittest/_torch/executor/test_overlap_scheduler.py::test_overlap_scheduler_consistency[no_reuse-cpp_scheduler-TorchSampler] SKIP (https://nvbugs/6561559)
 unittest/_torch/misc/test_autotuner.py::test_cutedsl_nvfp4_heuristic_matches_full_sweep SKIP (https://nvbugs/6490028)
 unittest/_torch/modeling/test_gemma4_e2e_dummy.py::test_e2e_text_31b_dummy SKIP (https://nvbugs/6607482)
-unittest/_torch/modeling/test_modeling_qwen_moe.py::TestQwenMoe::test_qwen_moe_allclose_to_hf[backend:trtllm-use_cuda_graph:False] SKIP (https://nvbugs/6566765)
-unittest/_torch/modeling/test_modeling_qwen_moe.py::TestQwenMoe::test_qwen_moe_allclose_to_hf[backend:trtllm-use_cuda_graph:True] SKIP (https://nvbugs/6575012)
-unittest/_torch/modeling/test_modeling_qwen_moe.py::TestQwenMoe::test_qwen_moe_allclose_to_hf[backend:vanilla-use_cuda_graph:False] SKIP (https://nvbugs/6566765)
 unittest/_torch/modules/moe/test_moe_backend.py::test_moe_backend -k "TRTLLM" SKIP (https://nvbugs/6602176)
 unittest/_torch/modules/moe/test_moe_backend.py::test_moe_backend[act=Relu2-e60_k4_h2048_i1408-seq=8-dtype=torch.bfloat16-backend=TRTLLM-quant=NVFP4-routing=Renormalize] SKIP (https://nvbugs/5989912)
 unittest/_torch/modules/moe/test_moe_module.py::test_configurable_moe_multi_gpu -k "MEGAMOE_CUTEDSL" SKIP (https://nvbugs/6601578)

tests/unittest/_torch/modeling/test_modeling_qwen_moe.py

@@ -1,3 +1,7 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+import gc
 import unittest
 from copy import deepcopy
 from dataclasses import dataclass
@@ -67,6 +71,24 @@ def __repr__(self) -> str:
 
 class TestQwenMoe(unittest.TestCase):
 
+    @staticmethod
+    def _release_cuda_memory():
+        gc.collect()
+        torch.cuda.empty_cache()
+
+    @classmethod
+    def setUpClass(cls):
+        super().setUpClass()
+        # The A30 suite runs every Qwen modeling test in one process. Clear
+        # cyclic model references left by earlier classes before allocating
+        # both the HF and TensorRT-LLM models used by these comparisons.
+        cls._release_cuda_memory()
+
+    def tearDown(self):
+        # Do not leave either model alive for the next parameterized case.
+        self._release_cuda_memory()
+        super().tearDown()
+
     @parameterized.expand([None, "FP8", "NVFP4"])
     def test_qwen_moe_sanity(self, quant_algo):
         config_dict = deepcopy(QWEN2_57B_A14B_CONFIG)