Struct tensorflow::eager::raw_ops::ExperimentalCSVDataset

pub struct ExperimentalCSVDataset { /* private fields */ }

ExperimentalCSVDataset

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

Implementations

impl ExperimentalCSVDataset

pub fn new() -> Self

Creates a new ExperimentalCSVDataset.

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, T0: ToTensorHandle<'a>, T1: ToTensorHandle<'a>, T2: ToTensorHandle<'a>, T3: ToTensorHandle<'a>, T4: ToTensorHandle<'a>, T5: ToTensorHandle<'a>, T6: ToTensorHandle<'a>, T7: ToTensorHandle<'a>, T8: ToTensorHandle<'a>>( &self, ctx: &'a Context, filenames: &T0, compression_type: &T1, buffer_size: &T2, header: &T3, field_delim: &T4, use_quote_delim: &T5, na_value: &T6, select_cols: &T7, record_defaults: &T8 ) -> Result<TensorHandle<'a>>

Execute experimental_csvdataset.

Trait Implementations

impl Clone for ExperimentalCSVDataset

fn clone(&self) -> ExperimentalCSVDataset

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ExperimentalCSVDataset

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

Formats the value using the given formatter.

impl Default for ExperimentalCSVDataset

fn default() -> Self

Returns the “default value” for a type.