Struct tensorflow::QUInt16
source · pub struct QUInt16(_);
Expand description
Quantized type for u16.
Trait Implementations§
source§impl Ord for QUInt16
impl Ord for QUInt16
source§impl PartialEq<QUInt16> for QUInt16
impl PartialEq<QUInt16> for QUInt16
source§impl PartialOrd<QUInt16> for QUInt16
impl PartialOrd<QUInt16> for QUInt16
1.0.0 · source§fn le(&self, other: &Rhs) -> bool
fn le(&self, other: &Rhs) -> bool
This method tests less than or equal to (for
self
and other
) and is used by the <=
operator. Read moresource§impl TensorType for QUInt16
impl TensorType for QUInt16
impl Copy for QUInt16
impl Eq for QUInt16
impl StructuralEq for QUInt16
impl StructuralPartialEq for QUInt16
Auto Trait Implementations§
impl RefUnwindSafe for QUInt16
impl Send for QUInt16
impl Sync for QUInt16
impl Unpin for QUInt16
impl UnwindSafe for QUInt16
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
source§impl<T> ExprImpl<T> for Twhere
T: TensorType,
impl<T> ExprImpl<T> for Twhere T: TensorType,
source§fn children(&self) -> Vec<Box<dyn AnyExpr + 'static, Global>, Global>
fn children(&self) -> Vec<Box<dyn AnyExpr + 'static, Global>, Global>
Returns the child expressions. Read more
source§fn create_operation(
&self,
graph: &mut Graph,
_children: &[Operation],
id_gen: &mut dyn FnMut() -> String
) -> Result<Operation, Status>
fn create_operation( &self, graph: &mut Graph, _children: &[Operation], id_gen: &mut dyn FnMut() -> String ) -> Result<Operation, Status>
Creates an operation for the expression. Read more
source§fn derivative_by_variable(&self, _var: &str) -> Result<Expr<T>, Status>
fn derivative_by_variable(&self, _var: &str) -> Result<Expr<T>, Status>
Returns the derivative of the expression with respect to the given variable.
source§fn shape_hint(&self) -> ShapeHint<'_>
fn shape_hint(&self) -> ShapeHint<'_>
Returns a hint about the expression’s shape.