pub struct LayerNormBackward<B: Backend> {
pub input: FloatTensor<B>,
pub weight: FloatTensor<B>,
pub bias: FloatTensor<B>,
}Expand description
First-order LayerNorm gradients.
Fields§
§input: FloatTensor<B>Input gradient.
weight: FloatTensor<B>Scale gradient, summed over all leading dimensions.
bias: FloatTensor<B>Bias gradient, summed over all leading dimensions.
Auto Trait Implementations§
impl<B> Freeze for LayerNormBackward<B>
impl<B> RefUnwindSafe for LayerNormBackward<B>
impl<B> Send for LayerNormBackward<B>
impl<B> Sync for LayerNormBackward<B>
impl<B> Unpin for LayerNormBackward<B>
impl<B> UnsafeUnpin for LayerNormBackward<B>
impl<B> UnwindSafe for LayerNormBackward<B>
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more