pub struct LoRALayer { /* private fields */ }Expand description
LoRA layer: adds trainable low-rank adaptation to a frozen base weight
Implementations§
Source§impl LoRALayer
impl LoRALayer
Sourcepub fn new(
base_weight: Tensor,
d_out: usize,
d_in: usize,
rank: usize,
alpha: f32,
) -> Self
pub fn new( base_weight: Tensor, d_out: usize, d_in: usize, rank: usize, alpha: f32, ) -> Self
Create a new LoRA layer
§Arguments
base_weight- Frozen pretrained weight [d_out * d_in]d_out- Output dimensiond_in- Input dimensionrank- LoRA rank (typically 4, 8, 16, 32, or 64)alpha- LoRA scaling parameter (often same as rank)
§Returns
LoRA layer with randomly initialized A (Gaussian) and zero-initialized B
Sourcepub fn new_with_scaling(
base_weight: Tensor,
d_out: usize,
d_in: usize,
rank: usize,
alpha: f32,
scaling: LoRAScaling,
) -> Self
pub fn new_with_scaling( base_weight: Tensor, d_out: usize, d_in: usize, rank: usize, alpha: f32, scaling: LoRAScaling, ) -> Self
Create a new LoRA layer with explicit scaling mode (ENT-LoRA-004)
Use LoRAScaling::RsLoRA for rank-stable training (recommended for rank > 16).
Sourcepub fn merge(&mut self)
pub fn merge(&mut self)
Merge LoRA weights into base weight: W’ = W + scale * (B @ A)
After merging, forward pass only uses W’ (more efficient). This is typically done for inference.
Sourcepub fn unmerge(&mut self)
pub fn unmerge(&mut self)
Unmerge LoRA weights from base weight: W = W’ - scale * (B @ A)
Reverses the merge operation. Useful for continuing training or switching adapters.
Sourcepub fn base_weight(&self) -> &Tensor
pub fn base_weight(&self) -> &Tensor
Get reference to base weight matrix
Sourcepub fn lora_a_mut(&mut self) -> &mut Tensor
pub fn lora_a_mut(&mut self) -> &mut Tensor
Get mutable reference to LoRA A matrix
Sourcepub fn lora_b_mut(&mut self) -> &mut Tensor
pub fn lora_b_mut(&mut self) -> &mut Tensor
Get mutable reference to LoRA B matrix
Sourcepub fn trainable_params(&mut self) -> Vec<&mut Tensor>
pub fn trainable_params(&mut self) -> Vec<&mut Tensor>
Get trainable parameters (A and B)
Trait Implementations§
Auto Trait Implementations§
impl !RefUnwindSafe for LoRALayer
impl !Send for LoRALayer
impl !Sync for LoRALayer
impl !UnwindSafe for LoRALayer
impl Freeze for LoRALayer
impl Unpin for LoRALayer
impl UnsafeUnpin for LoRALayer
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