[Refactor][EAGLE] 4/N extract common methods from eagle and mtp (#5870)

### What this PR does / why we need it?
This PR aims to extract common methods from eagle_proposer and
mtp_proposer. This is a small step towards merging eagle and mtp.

### Does this PR introduce _any_ user-facing change?
N/A

### How was this patch tested?
by ci

- vLLM version: v0.13.0
- vLLM main:
bde38c11df

---------

Signed-off-by: Zetong Li <slippersss@126.com>

tests/ut/spec_decode/test_eagle_proposer.py

@@ -165,7 +165,7 @@ class TestEagleProposerLoadModel(TestBase):
 
         self.proposer.load_model(mock_model)
         mock_get_model.assert_called_once()
-        self.assertEqual(self.proposer.attn_layer_name, ["layer3"])
+        self.assertEqual(self.proposer.attn_layer_names, ["layer3"])
         self.assertIs(self.proposer.model.model.embed_tokens,
                       mock_model.model.embed_tokens)
 
@@ -196,7 +196,7 @@ class TestEagleProposerLoadModel(TestBase):
 
         self.assertIsNot(self.proposer.model.model.embed_tokens,
                          mock_model.model.embed_tokens)
-        self.assertEqual(self.proposer.attn_layer_name, ["layer2"])
+        self.assertEqual(self.proposer.attn_layer_names, ["layer2"])
 
     @patch(
         "vllm_ascend.spec_decode.eagle_proposer.get_layers_from_vllm_config")
@@ -239,6 +239,8 @@ class TestEagleProposerDummyRun(TestBase):
         self.vllm_config.speculative_config.num_speculative_tokens = 4
         self.device = torch.device("cpu")
         self.runner = MagicMock()
+        self.runner.pcp_size = 1
+        self.runner.dcp_size = 1
 
         self.vllm_config.cache_config.block_size = 16
         self.vllm_config.scheduler_config.max_num_batched_tokens = 1024
@@ -246,6 +248,7 @@ class TestEagleProposerDummyRun(TestBase):
         self.vllm_config.model_config.dtype = torch.float16
         self.vllm_config.model_config.max_model_len = 2048
         self.vllm_config.model_config.uses_mrope = False
+        self.vllm_config.model_config.use_mla = False
         self.vllm_config.speculative_config.speculative_token_tree = str([
             (i + 1) * (0, ) for i in range(4)
         ])

tests/ut/spec_decode/test_mtp_proposer.py

@@ -30,7 +30,7 @@ class TestMtpProposer:
         config.additional_config = None
         config.speculative_config = MagicMock(spec=SpeculativeConfig)
         config.speculative_config.num_speculative_tokens = 2
-        config.speculative_config.method = "deepseek_mtp"
+        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.speculative_token_tree = str([
@@ -98,9 +98,11 @@ class TestMtpProposer:
         mock_buffer_instance = MagicMock()
         mock_cpu_gpu_buffer.return_value = mock_buffer_instance
         runner._use_aclgraph.return_value = True
+        vllm_config.scheduler_config.async_scheduling = False
+        vllm_config.speculative_config.enforce_eager = False
         proposer = MtpProposer(vllm_config, torch.device("cpu"), runner)
 
-        assert proposer.use_aclgraph is True
+        assert proposer.use_cuda_graph is True
 
     @patch("vllm_ascend.spec_decode.mtp_proposer.get_forward_context")
     @patch("vllm_ascend.spec_decode.mtp_proposer.set_ascend_forward_context")