Struct tensorflow::eager::raw_ops::TFRecordDataset

pub struct TFRecordDataset { /* private fields */ }

TFRecordDataset

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

Implementations

impl TFRecordDataset

pub fn new() -> Self

Creates a new TFRecordDataset.

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

Sets the metadata 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, filenames: &T0, compression_type: &T1, buffer_size: &T2 ) -> Result<TensorHandle<'a>>

Execute tfrecord_dataset.

Trait Implementations

impl Clone for TFRecordDataset

fn clone(&self) -> TFRecordDataset

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TFRecordDataset

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

Formats the value using the given formatter.

impl Default for TFRecordDataset

fn default() -> Self

Returns the “default value” for a type.