pub struct RoPE {
pub cos_cache: DenseTensor,
pub sin_cache: DenseTensor,
pub dim: usize,
pub max_seq_len: usize,
pub base: f64,
}Expand description
Rotary Positional Embedding (RoPE)
RoPE encodes positional information by rotating the query and key vectors based on their positions. This is used in LLaMA, Mistral, and other modern LLMs.
Formula: RoPE(x, pos) = x * cos(pos * theta) + rotate_half(x) * sin(pos * theta)
where theta = base^(-2i/dim) for i = 0, 1, …, dim/2-1
Fields§
§cos_cache: DenseTensorPre-computed cosine cache [max_seq_len, dim/2]
sin_cache: DenseTensorPre-computed sine cache [max_seq_len, dim/2]
dim: usizeRotation dimension (typically head_dim)
max_seq_len: usizeMaximum sequence length
base: f64Base frequency (LLaMA uses 10000)
Implementations§
Source§impl RoPE
impl RoPE
Sourcepub fn new(dim: usize, max_seq_len: usize, base: f64) -> Self
pub fn new(dim: usize, max_seq_len: usize, base: f64) -> Self
Create a new RoPE module
§Arguments
dim- Rotation dimension (typically head_dim)max_seq_len- Maximum sequence length to supportbase- Base frequency for theta calculation (default: 10000)
Sourcepub fn forward(
&self,
x: &DenseTensor,
positions: Option<&[usize]>,
) -> DenseTensor
pub fn forward( &self, x: &DenseTensor, positions: Option<&[usize]>, ) -> DenseTensor
Sourcepub fn forward_qk(
&self,
q: &DenseTensor,
k: &DenseTensor,
positions: Option<&[usize]>,
) -> (DenseTensor, DenseTensor)
pub fn forward_qk( &self, q: &DenseTensor, k: &DenseTensor, positions: Option<&[usize]>, ) -> (DenseTensor, DenseTensor)
Sourcepub fn max_seq_len(&self) -> usize
pub fn max_seq_len(&self) -> usize
Get the maximum sequence length
Trait Implementations§
Auto Trait Implementations§
impl Freeze for RoPE
impl RefUnwindSafe for RoPE
impl Send for RoPE
impl Sync for RoPE
impl Unpin for RoPE
impl UnsafeUnpin for RoPE
impl UnwindSafe for RoPE
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