Struct tensorflow::ops::StridedSliceGrad

pub struct StridedSliceGrad { /* private fields */ }

Builder for the StridedSliceGrad operation.

Implementations

impl StridedSliceGrad

pub fn new() -> Self

Creates a new StridedSliceGrad.

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

Sets the T attribute.

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

Sets the Index attribute.

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

Sets the begin_mask attribute.

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

Sets the end_mask attribute.

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

Sets the ellipsis_mask attribute.

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

Sets the new_axis_mask attribute.

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

Sets the shrink_axis_mask 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, shape: O0, begin: O1, end: O2, strides: O3, dy: O4, scope: &mut Scope ) -> Result<Operation>

Builds the StridedSliceGrad operation.

pub fn build_instance( &self, shape: Output, begin: Output, end: Output, strides: Output, dy: Output, scope: &mut Scope ) -> Result<StridedSliceGradInst>

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

Trait Implementations

impl Debug for StridedSliceGrad

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

Formats the value using the given formatter.

impl Default for StridedSliceGrad

fn default() -> StridedSliceGrad

Returns the “default value” for a type.