Struct tensorflow::expr::Assign

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

Expression that assigns a value to a variable.

Implementations

impl<T: TensorType> Assign<T>

pub fn new_expr(variable: Expr<T>, value: Expr<T>) -> Expr<T>

Creates an expression that assigns value to variable.

pub fn to( variable: Expr<T>, iterable: impl Iterator<Item = T> ) -> Result<Expr<T>>

Creates an expression that takes values from iterable to fill variable.

Trait Implementations

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

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

Formats the value using the given formatter.

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

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

Formats the value using the given formatter.

impl<T: TensorType> ExprImpl<T> for Assign<T>

fn op_level(&self) -> OpLevel

Returns the precedence level for this operator.

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 derivative_by_variable(&self, _var: &str) -> Result<Expr<T>, Status>

Returns the derivative of the expression with respect to the given variable.

fn shape_hint(&self) -> ShapeHint<'_>

Returns a hint about the expression’s shape.