Struct tfdeploy::ops::konst::Const

pub struct Const { /* fields omitted */ }

Methods

impl Const

pub fn for_tensor(tensor: Tensor) -> Const

pub fn build(node: &NodeDef) -> Result<Box<Op>>

Trait Implementations

impl Debug for Const

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

Formats the value using the given formatter.

impl Clone for Const

fn clone(&self) -> Const

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Op for Const

fn eval(&self, _inputs: TVec<Value>) -> Result<TVec<Value>>

Evaluates the operation given the input tensors.

fn get_attributes(&self) -> HashMap<&'static str, Attr>

Returns the attributes of the operation and their values.

fn const_value(&self) -> Option<Value>

Important traits for Box<R>

impl<R> Read for Box<R> where
    R: Read + ?Sized, impl<W> Write for Box<W> where
    W: Write + ?Sized, impl<I> Iterator for Box<I> where
    I: Iterator + ?Sized,  type Item = <I as Iterator>::Item;

fn new_buffer(&self) -> Box<OpBuffer>

Returns a new streaming buffer for the operation.

fn step(     &self,     _inputs: TVec<StepValue>,     _buffer: &mut Box<OpBuffer> ) -> Result<Option<TVec<Value>>>

Evaluates one step of the operation on the given input tensors. This is only implemented for operators which support streaming.

fn infer_and_propagate(     &self,     inputs: TVec<TensorFact>,     outputs: TVec<TensorFact> ) -> Result<(TVec<TensorFact>, TVec<TensorFact>)>

Infers properties about the input and output tensors.

fn final_prep(     &self,     _inputs: TVec<TensorFact>,     _outputs: TVec<TensorFact> ) -> Result<Option<Box<Op>>>

fn rounding_errors(&self) -> bool

impl InferenceRulesOp for Const

fn rules<'r, 'p: 'r, 's: 'r>(     &'s self,     solver: &mut Solver<'r>,     inputs: &'p TensorsProxy,     outputs: &'p TensorsProxy )

Registers the inference rules of the operator.