Struct tensorflow::eager::raw_ops::RaggedTensorToVariantGradient

pub struct RaggedTensorToVariantGradient { /* private fields */ }

RaggedTensorToVariantGradient

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

Implementations

impl RaggedTensorToVariantGradient

pub fn new() -> Self

Creates a new RaggedTensorToVariantGradient.

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

Sets the Tvalues 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, encoded_ragged_grad: &T0, row_splits: &T1, dense_values_shape: &T2 ) -> Result<TensorHandle<'a>>

Execute ragged_tensor_to_variant_gradient.

Trait Implementations

impl Clone for RaggedTensorToVariantGradient

fn clone(&self) -> RaggedTensorToVariantGradient

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for RaggedTensorToVariantGradient

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

Formats the value using the given formatter.

impl Default for RaggedTensorToVariantGradient

fn default() -> Self

Returns the “default value” for a type.