Struct tensorflow::ops::CudnnRNNV3

pub struct CudnnRNNV3 { /* private fields */ }

Builder for the CudnnRNNV3 operation.

Implementations

impl CudnnRNNV3

pub fn new() -> Self

Creates a new CudnnRNNV3.

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

Sets the T attribute.

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

Sets the rnn_mode attribute.

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

Sets the input_mode attribute.

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

Sets the direction attribute.

pub fn dropout<ArgType: Into<f32>>(self, value: ArgType) -> Self

Sets the dropout attribute.

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

Sets the seed attribute.

pub fn seed2<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the seed2 attribute.

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

Sets the num_proj attribute.

pub fn is_training<ArgType: Into<bool>>(self, value: ArgType) -> Self

Sets the is_training attribute.

pub fn time_major<ArgType: Into<bool>>(self, value: ArgType) -> Self

Sets the time_major attribute.

pub fn add_control_input(self, op: Operation) -> Self

Adds a control input.

pub fn build<O0: Into<Output>, O1: Into<Output>, O2: Into<Output>, O3: Into<Output>, O4: Into<Output>>( &self, input: O0, input_h: O1, input_c: O2, params: O3, sequence_lengths: O4, scope: &mut Scope ) -> Result<Operation>

Builds the CudnnRNNV3 operation.

pub fn build_instance( &self, input: Output, input_h: Output, input_c: Output, params: Output, sequence_lengths: Output, scope: &mut Scope ) -> Result<CudnnRNNV3Inst>

Builds a new instance of ‘CudnnRNNV3’ Operation with it’s Outputs and Inputs exposed as methods.

Trait Implementations

impl Debug for CudnnRNNV3

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

Formats the value using the given formatter.

impl Default for CudnnRNNV3

fn default() -> CudnnRNNV3

Returns the “default value” for a type.