Struct tensorflow::eager::raw_ops::TensorArrayGradWithShape

pub struct TensorArrayGradWithShape { /* private fields */ }

TensorArrayGradWithShape

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

Implementations

impl TensorArrayGradWithShape

pub fn new() -> Self

Creates a new TensorArrayGradWithShape.

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

Sets the source 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>>( &self, ctx: &'a Context, handle: &T0, flow_in: &T1, shape_to_prepend: &T2 ) -> Result<[TensorHandle<'a>; 2]>

Execute tensor_array_grad_with_shape.

Trait Implementations

impl Clone for TensorArrayGradWithShape

fn clone(&self) -> TensorArrayGradWithShape

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TensorArrayGradWithShape

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

Formats the value using the given formatter.

impl Default for TensorArrayGradWithShape

fn default() -> Self

Returns the “default value” for a type.