Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
16 changes: 10 additions & 6 deletions python/sglang/srt/layers/rotary_embedding.py
Original file line number Diff line number Diff line change
Expand Up @@ -531,13 +531,13 @@ def _yarn_find_correction_range(
dim: int,
base: float = 10000,
max_position_embeddings: int = 2048,
truncate: bool = True,
) -> Tuple[int, int]:
low = math.floor(
_yarn_find_correction_dim(low_rot, dim, base, max_position_embeddings)
)
high = math.ceil(
_yarn_find_correction_dim(high_rot, dim, base, max_position_embeddings)
)
low = _yarn_find_correction_dim(low_rot, dim, base, max_position_embeddings)
high = _yarn_find_correction_dim(high_rot, dim, base, max_position_embeddings)
if truncate:
low = math.floor(low)
high = math.ceil(high)
return max(low, 0), min(high, dim - 1) # Clamp values just in case


Expand Down Expand Up @@ -578,12 +578,14 @@ def __init__(
attn_factor: float = 1,
beta_fast: int = 32,
beta_slow: int = 1,
truncate: bool = True,
) -> None:
self.scaling_factor = scaling_factor
self.extrapolation_factor = extrapolation_factor
self.attn_factor = attn_factor
self.beta_fast = beta_fast
self.beta_slow = beta_slow
self.truncate = truncate
# Get n-d magnitude scaling corrected for interpolation
self.mscale = float(_yarn_get_mscale(self.scaling_factor) * attn_factor)
super().__init__(
Expand All @@ -603,6 +605,7 @@ def _compute_inv_freq(self, scaling_factor: float) -> torch.Tensor:
self.rotary_dim,
self.base,
self.max_position_embeddings,
self.truncate,
)
# Get n-d rotational scaling corrected for extrapolation
inv_freq_mask = (
Expand Down Expand Up @@ -2648,6 +2651,7 @@ def get_rope(
if k
in ("extrapolation_factor", "attn_factor", "beta_fast", "beta_slow")
}
extra_kwargs["truncate"] = rope_scaling.get("truncate", True)
rotary_emb = YaRNScalingRotaryEmbedding(
head_size,
rotary_dim,
Expand Down
Loading