Struct rerun::sdk::datatypes::TensorDimensionSelection

pub struct TensorDimensionSelection {
    pub dimension: u32,
    pub invert: bool,
}

Datatype: Selection of a single tensor dimension.

Fields

dimension: u32

The dimension number to select.

invert: bool

Invert the direction of the dimension.

Trait Implementations

impl Borrow<TensorDimensionSelection> for TensorHeightDimension

fn borrow(&self) -> &TensorDimensionSelection

Immutably borrows from an owned value.

impl Borrow<TensorDimensionSelection> for TensorWidthDimension

fn borrow(&self) -> &TensorDimensionSelection

Immutably borrows from an owned value.

impl Clone for TensorDimensionSelection

fn clone(&self) -> TensorDimensionSelection

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TensorDimensionSelection

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

Formats the value using the given formatter.

impl Default for TensorDimensionSelection

fn default() -> TensorDimensionSelection

Returns the “default value” for a type.

impl From<u32> for TensorDimensionSelection

fn from(dimension: u32) -> TensorDimensionSelection

Converts to this type from the input type.

impl Hash for TensorDimensionSelection

fn hash<__H>(&self, state: &mut __H)

where __H: Hasher,

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl Loggable for TensorDimensionSelection

type Name = DatatypeName

fn name() -> <TensorDimensionSelection as Loggable>::Name

The fully-qualified name of this loggable, e.g. rerun.datatypes.Vec2D.

fn arrow_datatype() -> DataType

The underlying arrow2::datatypes::DataType, excluding datatype extensions.

fn to_arrow_opt<'a>( data: impl IntoIterator<Item = Option<impl Into<Cow<'a, TensorDimensionSelection>>>> ) -> Result<Box<dyn Array>, SerializationError>

where TensorDimensionSelection: Clone + 'a,

Given an iterator of options of owned or reference values to the current Loggable, serializes them into an Arrow array.

fn from_arrow_opt( arrow_data: &(dyn Array + 'static) ) -> Result<Vec<Option<TensorDimensionSelection>>, DeserializationError>

where TensorDimensionSelection: Sized,

Given an Arrow array, deserializes it into a collection of optional Loggables.

fn to_arrow<'a>( data: impl IntoIterator<Item = impl Into<Cow<'a, Self>>> ) -> Result<Box<dyn Array>, SerializationError>

where Self: 'a,

Given an iterator of owned or reference values to the current Loggable, serializes them into an Arrow array.

fn from_arrow( data: &(dyn Array + 'static) ) -> Result<Vec<Self>, DeserializationError>

Given an Arrow array, deserializes it into a collection of Loggables.

impl PartialEq for TensorDimensionSelection

fn eq(&self, other: &TensorDimensionSelection) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl SizeBytes for TensorDimensionSelection

fn heap_size_bytes(&self) -> u64

Returns the total size of self on the heap, in bytes.

fn is_pod() -> bool

Is Self just plain old data?

fn total_size_bytes(&self) -> u64

Returns the total size of self in bytes, accounting for both stack and heap space.

fn stack_size_bytes(&self) -> u64

Returns the total size of self on the stack, in bytes.

impl Copy for TensorDimensionSelection

impl Eq for TensorDimensionSelection

impl StructuralPartialEq for TensorDimensionSelection