[UT] Align input arguments with Ascend(Yarn)RotaryEmbedding with vLLM and add ut (#7358)

### What this PR does / why we need it?
This PR adds missing arguments in `AscendRotaryEmbedding`,
`AscendYarnRotaryEmbedding` to conform with vLLM. Besides, corresponding
ut is introduced.

- vLLM version: v0.17.0
- vLLM main:
4034c3d32e
---------
Signed-off-by: Angazenn <supperccell@163.com>

vllm_ascend/ops/rotary_embedding.py

@@ -222,8 +222,9 @@ class AscendRotaryEmbedding(RotaryEmbedding):
         base: float,
         is_neox_style: bool,
         dtype: torch.dtype,
+        init_cache: bool = True,
     ) -> None:
-        super().__init__(head_size, rotary_dim, max_position_embeddings, base, is_neox_style, dtype)
+        super().__init__(head_size, rotary_dim, max_position_embeddings, base, is_neox_style, dtype, init_cache)
         vllm_config = get_current_vllm_config()
         self.use_mtp = vllm_config.speculative_config and vllm_config.speculative_config.method == "mtp"
         _record_cos_sin_cache(self.cos_sin_cache)
@@ -264,6 +265,7 @@ class AscendYaRNRotaryEmbedding(YaRNScalingRotaryEmbedding):
         attn_factor: float = 1,
         beta_fast: int = 32,
         beta_slow: int = 1,
+        apply_yarn_scaling: bool = True,
         truncate: bool = False,
     ) -> None:
         extra_kwargs = {
@@ -271,6 +273,7 @@ class AscendYaRNRotaryEmbedding(YaRNScalingRotaryEmbedding):
             "attn_factor": attn_factor,
             "beta_fast": beta_fast,
             "beta_slow": beta_slow,
+            "apply_yarn_scaling": apply_yarn_scaling,
             # TODO: current not support actual truncate，adaptation for extra parameters to be compatible with vllm
             "truncate": truncate,
         }