Struct tensorflow::ops::SparseCrossHashed

pub struct SparseCrossHashed { /* private fields */ }

Builder for the SparseCrossHashed operation.

Implementations

impl SparseCrossHashed

pub fn new() -> Self

Creates a new SparseCrossHashed.

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

Sets the N attribute.

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

Sets the sparse_types attribute.

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

Sets the dense_types 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>, O5: Into<Output>, O6: Into<Output>>( &self, indices: O0, values: O1, shapes: O2, dense_inputs: O3, num_buckets: O4, strong_hash: O5, salt: O6, scope: &mut Scope ) -> Result<Operation>

Builds the SparseCrossHashed operation.

pub fn build_instance( &self, indices: Vec<Output>, values: Output, shapes: Vec<Output>, dense_inputs: Output, num_buckets: Output, strong_hash: Output, salt: Output, scope: &mut Scope ) -> Result<SparseCrossHashedInst>

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

Trait Implementations

impl Debug for SparseCrossHashed

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

Formats the value using the given formatter.

impl Default for SparseCrossHashed

fn default() -> SparseCrossHashed

Returns the “default value” for a type.