[Main2Main] Upgrade vllm commit to 0123 (#6169)

### What this PR does / why we need it?
1. ✅ Upgrade vllm commit to: 0115
(8471b27df97c3eb79f891802fc0e858f8f7ac6a0)
Modify import paths due to the refactors：
https://github.com/vllm-project/vllm/pull/32245
https://github.com/vllm-project/vllm/pull/32060
Test result:
https://github.com/vllm-project/vllm-ascend/actions/runs/21034239336/job/60490156965?pr=5913
2. ✅Upgrade vllm commit to: 0119
(9a1f16da1e423ede2c2f52a9850cbfbb39cefe96)
Fix `WorkerProc.__init__() missing 1 required positional argument:
'is_driver_worker'` due to
https://github.com/vllm-project/vllm/pull/28506
Test result:
https://github.com/vllm-project/vllm-ascend/actions/runs/21156263050/job/60841668755?5569
3. ✅Upgrade vllm commit to:
0120(148117ea2e689cd43df4be6892671a17cdae5833)
1. Add `skip_compiled` param in `set_forward_context` due to
https://github.com/vllm-project/vllm/pull/30385
2. Modify `tests/ut/spec_decode/test_eagle_proposer.py` due to
https://github.com/vllm-project/vllm/pull/24322
change `self.max_num_tokens =
vllm_config.scheduler_config.max_num_batched_tokens + max_batch_size`
3. Modify UT import paths due to the
refactors：https://github.com/vllm-project/vllm/pull/32060
Test result:
https://github.com/vllm-project/vllm-ascend/actions/runs/21204851770/job/60999046946
4. ✅Upgrade vllm commit to:
0121(f23fb5a7c1b61350c5c40ca1115d3bf8cf2b8cc9)
1. vLLM switched `uses_mrope` from target to draft model config, making
`positions`/`mrope_positions` mutually exclusive, breaking vllm-ascend's
direct self.positions access and tests missing
`draft_model_config.uses_mrope`.
https://github.com/vllm-project/vllm/pull/32048
2. Moved bs_to_padded_graph_size from CompilationConfig to
CudagraphDispatcher due to the refactor
https://github.com/vllm-project/vllm/pull/30143
3. Remove unused `maybe_setup_kv_connector` due to
https://github.com/vllm-project/vllm/pull/32077
Test result:
https://github.com/vllm-project/vllm-ascend/actions/runs/21217728738/job/61043738834
6. ✅Upgrade vllm commit to:
0122(8ebf271bb6d1e7e9b1a55be73d755ef1a57dbbe5)
Updating FusedMoEParallelConfig (added enable_eplb) and FusedMoEConfig
due to https://github.com/vllm-project/vllm/pull/32414
Test result:
https://github.com/vllm-project/vllm-ascend/actions/runs/21249922546/job/61148613054
8. ✅Upgrade vllm commit to:
0123(dc917cceb877dfd13f98c538c4c96158047d98bd)
Setting temperature=0.0 due to the removal of the default temperature
value in https://github.com/vllm-project/vllm/pull/32723
Test result:
https://github.com/vllm-project/vllm-ascend/actions/runs/21280796875
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.14.0
- vLLM main:
d68209402d

---------

Signed-off-by: wjunLu <wjunlu217@gmail.com>
Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
Co-authored-by: wjunLu <wjunlu217@gmail.com>

tests/ut/spec_decode/test_eagle_proposer.py

@@ -51,6 +51,7 @@ class TestEagleProposerInitialization(TestBase):
     def test_initialization_eagle_graph(self):
         self.vllm_config.speculative_config.method = "eagle"
         self.vllm_config.speculative_config.draft_model_config.get_hidden_size.return_value = 4096
+        self.vllm_config.speculative_config.draft_model_config.uses_mrope = False
         self.vllm_config.compilation_config.mode = CompilationMode.VLLM_COMPILE
         self.vllm_config.model_config.enforce_eager = False
         self.vllm_config.model_config.uses_mrope = False
@@ -65,10 +66,11 @@ class TestEagleProposerInitialization(TestBase):
         self.assertEqual(proposer.hidden_size, 4096)
         self.assertTrue(proposer.use_cuda_graph)
 
-        self.assertEqual(proposer.input_ids.shape, (1024, ))
-        self.assertEqual(proposer.positions.shape, (1024, ))
-        self.assertEqual(proposer.hidden_states.shape, (1024, 4096))
-        self.assertEqual(proposer.arange.shape, (1024, ))
+        expected_max_num_tokens = proposer.max_num_tokens
+        self.assertEqual(proposer.input_ids.shape, (expected_max_num_tokens, ))
+        self.assertEqual(proposer.positions.shape, (expected_max_num_tokens, ))
+        self.assertEqual(proposer.hidden_states.shape, (expected_max_num_tokens, 4096))
+        self.assertEqual(proposer.arange.shape, (expected_max_num_tokens, ))
 
     def test_initialization_eagle3_enforce_eager(self):
         self.vllm_config.speculative_config.method = "eagle3"
@@ -83,7 +85,8 @@ class TestEagleProposerInitialization(TestBase):
 
         self.assertEqual(proposer.hidden_size, 2048)
         self.assertFalse(proposer.use_cuda_graph)
-        self.assertEqual(proposer.hidden_states.shape, (1024, 2048))
+        expected_max_num_tokens = proposer.max_num_tokens
+        self.assertEqual(proposer.hidden_states.shape, (expected_max_num_tokens, 2048))
 
     def test_initialization_eagle3_full_graph_async(self):
         self.vllm_config.speculative_config.method = "eagle3"
@@ -100,7 +103,8 @@ class TestEagleProposerInitialization(TestBase):
 
         self.assertEqual(proposer.hidden_size, 2048)
         self.assertTrue(proposer.use_cuda_graph)
-        self.assertEqual(proposer.hidden_states.shape, (1024, 2048))
+        expected_max_num_tokens = proposer.max_num_tokens
+        self.assertEqual(proposer.hidden_states.shape, (expected_max_num_tokens, 2048))
 
     def test_initialization_mtp_full_graph_async(self):
         self.vllm_config.speculative_config.method = "mtp"
@@ -117,7 +121,8 @@ class TestEagleProposerInitialization(TestBase):
 
         self.assertEqual(proposer.hidden_size, 2048)
         self.assertFalse(proposer.use_cuda_graph)
-        self.assertEqual(proposer.hidden_states.shape, (1024, 2048))
+        expected_max_num_tokens = proposer.max_num_tokens
+        self.assertEqual(proposer.hidden_states.shape, (expected_max_num_tokens, 2048))
 
 
 class TestEagleProposerLoadModel(TestBase):

tests/ut/spec_decode/test_mtp_proposer.py

@@ -33,6 +33,7 @@ class TestMtpProposer:
         config.speculative_config.method = "mtp"
         config.speculative_config.draft_model_config = MagicMock()
         config.speculative_config.draft_model_config.get_hidden_size.return_value = 4096
+        config.speculative_config.draft_model_config.uses_mrope = False
         config.speculative_config.speculative_token_tree = str([
             (i + 1) * (0, ) for i in range(2)
         ])