Update rope_scaling to rope_parameters in preparation for Transformers v5 (#28542)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
Harry Mellor
2025-11-19 18:06:36 +01:00
committed by GitHub
parent d44e9df7d4
commit a8b70304d6
104 changed files with 542 additions and 910 deletions

View File

@@ -62,6 +62,7 @@ from vllm.model_executor.model_loader.weight_utils import (
maybe_remap_kv_scale_name,
)
from vllm.sequence import IntermediateTensors
from vllm.transformers_utils.config import set_default_rope_theta
from .interfaces import MixtureOfExperts, SupportsLoRA, SupportsPP
from .utils import (
@@ -232,9 +233,8 @@ class Ernie4_5_MoeAttention(nn.Module):
hidden_size: int,
num_heads: int,
num_kv_heads: int,
rope_parameters: dict[str, Any],
head_dim: int | None = None,
rope_theta: float = 500000,
rope_scaling: dict[str, Any] | None = None,
max_position_embeddings: int = 131072,
rms_norm_eps: float = 1e-05,
qkv_bias: bool = False,
@@ -266,7 +266,6 @@ class Ernie4_5_MoeAttention(nn.Module):
self.q_size = self.num_heads * self.head_dim
self.kv_size = self.num_kv_heads * self.head_dim
self.scaling = self.head_dim**-0.5
self.rope_theta = rope_theta
self.max_position_embeddings = max_position_embeddings
self.qkv_proj = QKVParallelLinear(
@@ -291,9 +290,8 @@ class Ernie4_5_MoeAttention(nn.Module):
self.head_dim,
rotary_dim=self.head_dim,
max_position=max_position_embeddings,
base=rope_theta,
rope_parameters=rope_parameters,
is_neox_style=False,
rope_scaling=rope_scaling,
)
self.attn = Attention(
self.num_heads,
@@ -333,16 +331,14 @@ class Ernie4_5_MoeDecoderLayer(nn.Module):
) -> None:
super().__init__()
self.hidden_size = config.hidden_size
rope_theta = getattr(config, "rope_theta", 500000)
rope_scaling = getattr(config, "rope_scaling", None)
set_default_rope_theta(config, default_theta=500000)
max_position_embeddings = getattr(config, "max_position_embeddings", 131072)
self.self_attn = Ernie4_5_MoeAttention(
hidden_size=self.hidden_size,
num_heads=config.num_attention_heads,
num_kv_heads=config.num_key_value_heads,
head_dim=getattr(config, "head_dim", None),
rope_theta=rope_theta,
rope_scaling=rope_scaling,
rope_parameters=config.rope_parameters,
max_position_embeddings=max_position_embeddings,
rms_norm_eps=config.rms_norm_eps,
qkv_bias=getattr(config, "use_bias", False),