Struct tensorflow::expr::Expr

pub struct Expr<T: TensorType> { /* private fields */ }

A operation in an expression tree, which is a thin wrapper around an ExprImpl.

This is separate from ExprImpl because we want expressions to be wrapped in an Rc, and we can’t directly implement std::ops::Add, etc., for Rc<E: ExprImpl<Tgt;>.

Implementations

impl<T: TensorType> Expr<T>

pub fn new<I>(expr: I) -> Expr<T>where I: ExprImpl<T> + 'static,

Wraps an ExprImpl.

Trait Implementations

impl<T: TensorType> Add<Expr<T>> for Expr<T>

type Output = Expr<T>

The resulting type after applying the + operator.

fn add(self, rhs: Expr<T>) -> Expr<T>

Performs the + operation.

impl<T: TensorType> Add<T> for Expr<T>

type Output = Expr<T>

The resulting type after applying the + operator.

fn add(self, rhs: T) -> Expr<T>

Performs the + operation.

impl<T: TensorType> AnyExpr for Expr<T>

fn key(&self) -> *const ()

Returns a pointer usable as a map key which identifies this expression.

fn children(&self) -> Vec<Box<dyn AnyExpr>>

Returns the child expressions.

fn create_operation( &self, graph: &mut Graph, children: &[Operation], id_gen: &mut dyn FnMut() -> String ) -> Result<Operation, Status>

Creates an operation for the expression.

fn clone_box(&self) -> Box<dyn AnyExpr>

Returns a boxed clone.

impl<T: Clone + TensorType> Clone for Expr<T>

fn clone(&self) -> Expr<T>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<T: Debug + TensorType> Debug for Expr<T>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<T: TensorType> Deref for Expr<T>

type Target = dyn ExprImpl<T> + 'static

The resulting type after dereferencing.

fn deref(&self) -> &Self::Target

Dereferences the value.

impl<T: TensorType> Display for Expr<T>

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl<T: TensorType> Div<Expr<T>> for Expr<T>

type Output = Expr<T>

The resulting type after applying the / operator.

fn div(self, rhs: Expr<T>) -> Expr<T>

Performs the / operation.

impl<T: TensorType> Div<T> for Expr<T>

type Output = Expr<T>

The resulting type after applying the / operator.

fn div(self, rhs: T) -> Expr<T>

Performs the / operation.

impl<T: TensorType> From<T> for Expr<T>

fn from(value: T) -> Self

Converts to this type from the input type.

impl<T: TensorType> Mul<Expr<T>> for Expr<T>

type Output = Expr<T>

The resulting type after applying the * operator.

fn mul(self, rhs: Expr<T>) -> Expr<T>

Performs the * operation.

impl<T: TensorType> Mul<T> for Expr<T>

type Output = Expr<T>

The resulting type after applying the * operator.

fn mul(self, rhs: T) -> Expr<T>

Performs the * operation.

impl<T: TensorType> Neg for Expr<T>

type Output = Expr<T>

The resulting type after applying the - operator.

fn neg(self) -> Expr<T>

Performs the unary - operation.

impl<T: TensorType> Rem<Expr<T>> for Expr<T>

type Output = Expr<T>

The resulting type after applying the % operator.

fn rem(self, rhs: Expr<T>) -> Expr<T>

Performs the % operation.

impl<T: TensorType> Rem<T> for Expr<T>

type Output = Expr<T>

The resulting type after applying the % operator.

fn rem(self, rhs: T) -> Expr<T>

Performs the % operation.

impl<T: TensorType> Sub<Expr<T>> for Expr<T>

type Output = Expr<T>

The resulting type after applying the - operator.

fn sub(self, rhs: Expr<T>) -> Expr<T>

Performs the - operation.

impl<T: TensorType> Sub<T> for Expr<T>

type Output = Expr<T>

The resulting type after applying the - operator.

fn sub(self, rhs: T) -> Expr<T>

Performs the - operation.