Struct tensorflow::eager::raw_ops::TensorArray

pub struct TensorArray { /* private fields */ }

TensorArray

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

Implementations

impl TensorArray

pub fn new() -> Self

Creates a new TensorArray.

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

Sets the dtype attribute.

pub fn dynamic_size<ArgType: Into<bool>>(self, value: ArgType) -> Self

Sets the dynamic_size attribute.

pub fn clear_after_read<ArgType: Into<bool>>(self, value: ArgType) -> Self

Sets the clear_after_read attribute.

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

Sets the tensor_array_name attribute.

pub fn element_shape<ArgType: Into<Shape>>(self, value: ArgType) -> Self

Sets the element_shape 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, size: &T0 ) -> Result<TensorHandle<'a>>

Execute tensor_array.

Trait Implementations

impl Clone for TensorArray

fn clone(&self) -> TensorArray

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TensorArray

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

Formats the value using the given formatter.

impl Default for TensorArray

fn default() -> Self

Returns the “default value” for a type.