[EPLB]Eplb Config Renaming (#5533)

### What this PR does / why we need it?
1. Rename num_iterations_eplb_update to expert_heat_collection_interval.
2. Rename num_wait_worker_iterations to algorithm_execution_interval.
3. Rename init_redundancy_expert to num_redundant_experts because the
variable with the same meaning in vLLM is named this way.
4. Delete gate_eplb because we don't need this feature.
5. Move eplb config into a dict in additional config.
6. Depend on pr5817

### Does this PR introduce _any_ user-facing change?

before this pr：
`--additional-config '{"dynamic_eplb":true,
"num_iterations_eplb_update": 4000, "num_wait_worker_iterations": 150,
"init_redundancy_expert": 16, "expert_map_path": "xxx.json"}'`

after this pr: 
`--additional-config
'{"eplb_config":{"dynamic_eplb":true,"expert_heat_collection_interval":4000,
"algorithm_execution_interval":150,"num_redundant_experts": 16,
"expert_map_path": "xxx.json"}}'`

### How was this patch tested?

#### test qwen3-235b eplb num_redundant_experts=16

without pr5817
| dataset | version | metric | mode | vllm-api-general-chat |
|----- | ----- | ----- | ----- | -----|
| aime2024 | 604a78 | accuracy | gen | 83.33 |

with pr5817
| dataset | version | metric | mode | vllm-api-general-chat |
|----- | ----- | ----- | ----- | -----|
| aime2024 | 604a78 | accuracy | gen | 86.67 |

- vLLM version: v0.13.0
- vLLM main:
45c1ca1ca1

Signed-off-by: shenchuxiaofugui <1311027364@qq.com>

vllm_ascend/quantization/w4a16.py

@@ -116,8 +116,7 @@ class AscendW4A16FusedMoEMethod:
         vllm_config = get_current_vllm_config()
         self.group_size = vllm_config.quant_config.quant_description.get(
             "group_size", 32)
-        ascend_config = get_ascend_config()
-        self.dynamic_eplb = ascend_config.dynamic_eplb or ascend_config.expert_map_record_path
+        self.dynamic_eplb = get_ascend_config().eplb_config.dynamic_eplb
 
     def get_weight(
         self,

vllm_ascend/quantization/w4a8_dynamic.py

@@ -224,8 +224,7 @@ class AscendW4A8DynamicFusedMoEMethod:
         # NOTE: new quantize weights: 2 int4 pack into int8
         self.new_quant_version = quant_version == "1.0.0"
         self.tp_size = 1 if vllm_config.parallel_config.enable_expert_parallel else self.ep_group.world_size
-        ascend_config = get_ascend_config()
-        self.dynamic_eplb = ascend_config.dynamic_eplb or ascend_config.expert_map_record_path
+        self.dynamic_eplb = get_ascend_config().eplb_config.dynamic_eplb
         if self.new_quant_version and self.tp_size > 16:
             raise ValueError(
                 "The current weight does not support moe part tp>16.")

vllm_ascend/quantization/w8a8_dynamic.py

@@ -114,7 +114,7 @@ class AscendW8A8DynamicFusedMoEMethod:
                              and not vllm_config.model_config.enforce_eager)
         self.multistream_overlap_gate = ascend_config.multistream_overlap_gate
 
-        self.dynamic_eplb = ascend_config.dynamic_eplb or ascend_config.expert_map_record_path
+        self.dynamic_eplb = ascend_config.eplb_config.dynamic_eplb
         self.in_dtype = vllm_config.model_config.dtype
         self.supports_eplb = True