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

@@ -5,7 +5,6 @@
import typing
from collections.abc import Callable, Iterable
from itertools import islice
from typing import Any
import torch
from torch import nn
@@ -171,8 +170,6 @@ class AfmoeAttention(nn.Module):
hidden_size: int,
num_heads: int,
num_kv_heads: int,
rope_theta: float = 10000,
rope_scaling: dict[str, Any] | None = None,
max_position_embeddings: int = 131072,
head_dim: int | None = None,
rms_norm_eps: float = 1e-05,
@@ -202,7 +199,6 @@ class AfmoeAttention(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
# Check if this is a local attention layer
@@ -246,8 +242,7 @@ class AfmoeAttention(nn.Module):
self.head_dim,
rotary_dim=self.head_dim,
max_position=max_position_embeddings,
base=rope_theta,
rope_scaling=rope_scaling,
rope_parameters=config["rope_parameters"],
is_neox_style=True,
)
else:
@@ -303,14 +298,6 @@ class AfmoeDecoderLayer(nn.Module):
) -> None:
super().__init__()
self.hidden_size = config.hidden_size
rope_theta = getattr(config, "rope_theta", 10000)
rope_scaling = getattr(config, "rope_scaling", None)
if rope_scaling is not None and getattr(
config, "original_max_position_embeddings", None
):
rope_scaling["original_max_position_embeddings"] = (
config.original_max_position_embeddings
)
max_position_embeddings = getattr(config, "max_position_embeddings", 131072)
# DecoderLayers are created with `make_layers` which passes the prefix
@@ -323,8 +310,6 @@ class AfmoeDecoderLayer(nn.Module):
hidden_size=self.hidden_size,
num_heads=config.num_attention_heads,
num_kv_heads=config.num_key_value_heads,
rope_theta=rope_theta,
rope_scaling=rope_scaling,
max_position_embeddings=max_position_embeddings,
head_dim=config.head_dim,
rms_norm_eps=config.rms_norm_eps,