Struct tensorflow::eager::raw_ops::MultiDeviceIterator

pub struct MultiDeviceIterator { /* private fields */ }

MultiDeviceIterator

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

Implementations

impl MultiDeviceIterator

pub fn new() -> Self

Creates a new MultiDeviceIterator.

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

Sets the devices attribute.

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

Sets the shared_name attribute.

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

Sets the container attribute.

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

Sets the output_types attribute.

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

Sets the output_shapes attribute.

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

Sets the `` attribute.

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

Execute multi_device_iterator.

Trait Implementations

impl Clone for MultiDeviceIterator

fn clone(&self) -> MultiDeviceIterator

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for MultiDeviceIterator

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

Formats the value using the given formatter.

impl Default for MultiDeviceIterator

fn default() -> Self

Returns the “default value” for a type.