Struct tensorflow::ops::SparseSegmentSqrtN
source · pub struct SparseSegmentSqrtN { /* private fields */ }
Expand description
Builder for the SparseSegmentSqrtN
operation.
Implementations§
source§impl SparseSegmentSqrtN
impl SparseSegmentSqrtN
sourcepub fn Tsegmentids<ArgType: Into<DataType>>(self, value: ArgType) -> Self
pub fn Tsegmentids<ArgType: Into<DataType>>(self, value: ArgType) -> Self
Sets the Tsegmentids
attribute.
sourcepub fn add_control_input(self, op: Operation) -> Self
pub fn add_control_input(self, op: Operation) -> Self
Adds a control input.
sourcepub fn build<O0: Into<Output>, O1: Into<Output>, O2: Into<Output>>(
&self,
data: O0,
indices: O1,
segment_ids: O2,
scope: &mut Scope
) -> Result<Operation>
pub fn build<O0: Into<Output>, O1: Into<Output>, O2: Into<Output>>( &self, data: O0, indices: O1, segment_ids: O2, scope: &mut Scope ) -> Result<Operation>
Builds the SparseSegmentSqrtN
operation.
sourcepub fn build_instance(
&self,
data: Output,
indices: Output,
segment_ids: Output,
scope: &mut Scope
) -> Result<SparseSegmentSqrtNInst>
pub fn build_instance( &self, data: Output, indices: Output, segment_ids: Output, scope: &mut Scope ) -> Result<SparseSegmentSqrtNInst>
Builds a new instance of ‘SparseSegmentSqrtN’ Operation with it’s Outputs and Inputs exposed as methods.
Trait Implementations§
source§impl Debug for SparseSegmentSqrtN
impl Debug for SparseSegmentSqrtN
source§impl Default for SparseSegmentSqrtN
impl Default for SparseSegmentSqrtN
source§fn default() -> SparseSegmentSqrtN
fn default() -> SparseSegmentSqrtN
Returns the “default value” for a type. Read more
Auto Trait Implementations§
impl RefUnwindSafe for SparseSegmentSqrtN
impl Send for SparseSegmentSqrtN
impl Sync for SparseSegmentSqrtN
impl Unpin for SparseSegmentSqrtN
impl UnwindSafe for SparseSegmentSqrtN
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more