Struct burn_core::tensor::ops::Conv2dBackward
source · pub struct Conv2dBackward<B>where
B: Backend,{
pub x_grad: <B as Backend>::TensorPrimitive<4>,
pub weights_grad: <B as Backend>::TensorPrimitive<4>,
pub bias_grad: Option<<B as Backend>::TensorPrimitive<1>>,
}Expand description
Gradient computed during the backward pass for each tensor used by conv2d.
Fields§
§x_grad: <B as Backend>::TensorPrimitive<4>§weights_grad: <B as Backend>::TensorPrimitive<4>§bias_grad: Option<<B as Backend>::TensorPrimitive<1>>Implementations§
source§impl<B> Conv2dBackward<B>where
B: Backend,
impl<B> Conv2dBackward<B>where B: Backend,
sourcepub fn new(
x_grad: <B as Backend>::TensorPrimitive<4>,
weights_grad: <B as Backend>::TensorPrimitive<4>,
bias_grad: Option<<B as Backend>::TensorPrimitive<1>>
) -> Conv2dBackward<B>
pub fn new( x_grad: <B as Backend>::TensorPrimitive<4>, weights_grad: <B as Backend>::TensorPrimitive<4>, bias_grad: Option<<B as Backend>::TensorPrimitive<1>> ) -> Conv2dBackward<B>
Constructs a new Conv2dBackward.
Auto Trait Implementations§
impl<B> RefUnwindSafe for Conv2dBackward<B>where <B as Backend>::TensorPrimitive<1>: RefUnwindSafe, <B as Backend>::TensorPrimitive<4>: RefUnwindSafe,
impl<B> Send for Conv2dBackward<B>
impl<B> Sync for Conv2dBackward<B>
impl<B> Unpin for Conv2dBackward<B>where <B as Backend>::TensorPrimitive<1>: Unpin, <B as Backend>::TensorPrimitive<4>: Unpin,
impl<B> UnwindSafe for Conv2dBackward<B>where <B as Backend>::TensorPrimitive<1>: UnwindSafe, <B as Backend>::TensorPrimitive<4>: UnwindSafe,
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