Let GraniteMoeAttention use YaRN (#21174)

Signed-off-by: Thomas Parnell <tpa@zurich.ibm.com>

Author: tdoublep

vllm/model_executor/models/granitemoe.py

@@ -24,7 +24,7 @@
 # limitations under the License.
 """Inference-only GraniteMoe model."""
 from collections.abc import Iterable
-from typing import Optional
+from typing import Any, Optional
 
 import torch
 from torch import nn
@@ -113,6 +113,7 @@ def __init__(
         num_kv_heads: int,
         max_position: int = 4096 * 32,
         rope_theta: float = 10000,
+        rope_scaling: Optional[dict[str, Any]] = None,
         cache_config: Optional[CacheConfig] = None,
         quant_config: Optional[QuantizationConfig] = None,
         attention_multiplier: Optional[float] = None,
@@ -163,6 +164,7 @@ def __init__(
             max_position=max_position,
             base=int(self.rope_theta),
             is_neox_style=True,
+            rope_scaling=rope_scaling,
         )
         self.attn = Attention(self.num_heads,
                               self.head_dim,
@@ -198,12 +200,14 @@ def __init__(
         self.hidden_size = config.hidden_size
         # Requires transformers > 4.32.0
         rope_theta = getattr(config, "rope_theta", 10000)
+        rope_scaling = getattr(config, "rope_scaling", None)
         self.self_attn = GraniteMoeAttention(
             hidden_size=self.hidden_size,
             num_heads=config.num_attention_heads,
             max_position=config.max_position_embeddings,
             num_kv_heads=config.num_key_value_heads,
             rope_theta=rope_theta,
+            rope_scaling=rope_scaling,
             cache_config=cache_config,
             quant_config=quant_config,
             prefix=f"{prefix}.self_attn",

vllm/model_executor/models/granitemoeshared.py

@@ -81,12 +81,14 @@ def __init__(
         self.hidden_size = config.hidden_size
         # Requires transformers > 4.32.0
         rope_theta = getattr(config, "rope_theta", 10000)
+        rope_scaling = getattr(config, "rope_scaling", None)
         self.self_attn = GraniteMoeAttention(
             hidden_size=self.hidden_size,
             num_heads=config.num_attention_heads,
             max_position=config.max_position_embeddings,
             num_kv_heads=config.num_key_value_heads,
             rope_theta=rope_theta,
+            rope_scaling=rope_scaling,
             cache_config=cache_config,
             quant_config=quant_config,
             prefix=f"{prefix}.self_attn",