Struct tensorflow::eager::raw_ops::LoadAndRemapMatrix

pub struct LoadAndRemapMatrix { /* private fields */ }

LoadAndRemapMatrix

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

Implementations

impl LoadAndRemapMatrix

pub fn new() -> Self

Creates a new LoadAndRemapMatrix.

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

Sets the num_rows attribute.

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

Sets the num_cols attribute.

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

Sets the max_rows_in_memory 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>>( &self, ctx: &'a Context, ckpt_path: &T0, old_tensor_name: &T1, row_remapping: &T2, col_remapping: &T3, initializing_values: &T4 ) -> Result<TensorHandle<'a>>

Execute load_and_remap_matrix.

Trait Implementations

impl Clone for LoadAndRemapMatrix

fn clone(&self) -> LoadAndRemapMatrix

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for LoadAndRemapMatrix

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

Formats the value using the given formatter.

impl Default for LoadAndRemapMatrix

fn default() -> Self

Returns the “default value” for a type.