Struct tensorflow::eager::raw_ops::UnbatchGrad

pub struct UnbatchGrad { /* private fields */ }

UnbatchGrad

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

Implementations

impl UnbatchGrad

pub fn new() -> Self

Creates a new UnbatchGrad.

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

Sets the container attribute.

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

Sets the shared_name attribute.

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

Sets the `` attribute.

pub fn call<'a, T0: ToTensorHandle<'a>, T1: ToTensorHandle<'a>, T2: ToTensorHandle<'a>, T3: ToTensorHandle<'a>>( &self, ctx: &'a Context, original_input: &T0, batch_index: &T1, grad: &T2, id: &T3 ) -> Result<TensorHandle<'a>>

Execute unbatch_grad.

Trait Implementations

impl Clone for UnbatchGrad

fn clone(&self) -> UnbatchGrad

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UnbatchGrad

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

Formats the value using the given formatter.

impl Default for UnbatchGrad

fn default() -> Self

Returns the “default value” for a type.