Struct tensorflow::eager::raw_ops::SymbolicGradient

pub struct SymbolicGradient { /* private fields */ }

SymbolicGradient

See : https://www.tensorflow.org/api_docs/python/tf/raw_ops/SymbolicGradient

Implementations

impl SymbolicGradient

pub fn new() -> Self

Creates a new SymbolicGradient.

pub fn Tout<ArgType: Into<Vec<DataType>>>(self, value: ArgType) -> Self

Sets the Tout attribute.

pub fn f<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the f attribute.

pub fn target_device_name<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the `` attribute.

pub fn call<'a, T0: ToTensorHandle<'a>>( &self, ctx: &'a Context, input: &T0 ) -> Result<TensorHandle<'a>>

Execute symbolic_gradient.

Trait Implementations

impl Clone for SymbolicGradient

fn clone(&self) -> SymbolicGradient

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for SymbolicGradient

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

Formats the value using the given formatter.

impl Default for SymbolicGradient

fn default() -> Self

Returns the “default value” for a type.