Struct Gradients
pub struct Gradients { /* private fields */ }Expand description
Gradients container used during the backward pass.
Implementations§
§impl Gradients
impl Gradients
pub fn new<B>(
root_node: Arc<Node>,
root_tensor: <B as BackendTypes>::FloatTensorPrimitive,
) -> Gradientswhere
B: Backend,
pub fn new<B>(
root_node: Arc<Node>,
root_tensor: <B as BackendTypes>::FloatTensorPrimitive,
) -> Gradientswhere
B: Backend,
Creates a new gradients container.
pub fn new_distributed<B>(
root_node: Arc<Node>,
root_tensor: <B as BackendTypes>::FloatTensorPrimitive,
reg: Box<dyn DistributedRegistration>,
) -> Gradientswhere
B: Backend,
pub fn new_distributed<B>(
root_node: Arc<Node>,
root_tensor: <B as BackendTypes>::FloatTensorPrimitive,
reg: Box<dyn DistributedRegistration>,
) -> Gradientswhere
B: Backend,
Creates a new gradients container with a registration hook for distributed gradients.
pub fn consume<B>(
&mut self,
node: &Arc<Node>,
) -> <B as BackendTypes>::FloatTensorPrimitivewhere
B: Backend,
pub fn consume<B>(
&mut self,
node: &Arc<Node>,
) -> <B as BackendTypes>::FloatTensorPrimitivewhere
B: Backend,
Consumes the gradients for a given tensor.
Each tensor should be consumed exactly 1 time if its gradients are only required during the backward pass, otherwise, it may be consume multiple times.
pub fn remove<B>(
&mut self,
tensor: &AutodiffTensor<B>,
) -> Option<<B as BackendTypes>::FloatTensorPrimitive>where
B: Backend,
pub fn remove<B>(
&mut self,
tensor: &AutodiffTensor<B>,
) -> Option<<B as BackendTypes>::FloatTensorPrimitive>where
B: Backend,
Removes a grad tensor from the container.
pub fn get<B>(
&self,
tensor: &AutodiffTensor<B>,
) -> Option<<B as BackendTypes>::FloatTensorPrimitive>where
B: Backend,
pub fn get<B>(
&self,
tensor: &AutodiffTensor<B>,
) -> Option<<B as BackendTypes>::FloatTensorPrimitive>where
B: Backend,
Gets a grad tensor from the container.
pub fn register<B>(
&mut self,
node_id: NodeId,
value: <B as BackendTypes>::FloatTensorPrimitive,
)where
B: Backend,
pub fn register<B>(
&mut self,
node_id: NodeId,
value: <B as BackendTypes>::FloatTensorPrimitive,
)where
B: Backend,
Register a grad tensor in the container.
If the tensor already exists, add both tensors together before saving the result.
If the registered tensor is distributed, launches a syncing operation on the gradients.
Auto Trait Implementations§
impl !RefUnwindSafe for Gradients
impl !Sync for Gradients
impl !UnwindSafe for Gradients
impl Freeze for Gradients
impl Send for Gradients
impl Unpin for Gradients
impl UnsafeUnpin for Gradients
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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
impl<ST, DT> CastableFrom<ST, Initialized, Initialized> for DT
impl<ST, DT> CastableFrom<ST, Uninit, Uninit> for DT
§impl<K, Q> Comparable<Q> for K
impl<K, Q> Comparable<Q> for K
§impl<K, Q> Equivalent<Q> for K
impl<K, Q> Equivalent<Q> for K
§fn equivalent(&self, key: &Q) -> bool
fn equivalent(&self, key: &Q) -> bool
Compare self to
key and return true if they are equal.impl<T> ErasedDestructor for Twhere
T: 'static,
§impl<T> Instrument for T
impl<T> Instrument for T
§fn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
§fn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
Source§impl<T> IntoEither for T
impl<T> IntoEither for T
Source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left is true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read moreSource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read more