Struct tensorflow::eager::raw_ops::DataServiceDataset

pub struct DataServiceDataset { /* private fields */ }

DataServiceDataset

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

Implementations

impl DataServiceDataset

pub fn new() -> Self

Creates a new DataServiceDataset.

pub fn task_refresh_interval_hint_ms<ArgType: Into<i64>>( self, value: ArgType ) -> Self

Sets the task_refresh_interval_hint_ms 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 data_transfer_protocol<ArgType: Into<String>>( self, value: ArgType ) -> Self

Sets the data_transfer_protocol attribute.

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

Sets the target_workers attribute.

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

Sets the cross_trainer_cache_options 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>, T4: ToTensorHandle<'a>, T5: ToTensorHandle<'a>, T6: ToTensorHandle<'a>>( &self, ctx: &'a Context, dataset_id: &T0, processing_mode: &T1, address: &T2, protocol: &T3, job_name: &T4, max_outstanding_requests: &T5, iteration_counter: &T6 ) -> Result<TensorHandle<'a>>

Execute data_service_dataset.

Trait Implementations

impl Clone for DataServiceDataset

fn clone(&self) -> DataServiceDataset

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DataServiceDataset

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

Formats the value using the given formatter.

impl Default for DataServiceDataset

fn default() -> Self

Returns the “default value” for a type.