Enum NeuralNetworkMultiArrayShapeMapping 

#[repr(i32)]
pub enum NeuralNetworkMultiArrayShapeMapping {
    Rank5ArrayMapping = 0,
    ExactArrayMapping = 1,
}

Variants

Rank5ArrayMapping = 0

Default legacy value. Only supported for Core ML Specification version <= 3.

The default legacy shape mapping resolves all input shapes to a rank 5 equivalent with axis notation of [Seq, Batch, Channel, Height, Width].

When this enum value is selected, the repeated shape field in the message “ArrayFeatureType” in feature types proto, must be either length 1 or length 3.

The following rule is used to map the values in the shape field to the actual tensor shape: rank 1 shape is mapped to shape [1,1,C,1,1] rank 3 shape is mapped to shape [1,1,C,H,W] At runtime, the first two dimensions (Seq or Batch) can be presented as well, with non-1 values.

It is invalid to use this enum value if any of the layers added Specification version 4 (iOS >= 13, macOS >= 10.15) onwards are used in the network. Validator will raise an error in that case.

ExactArrayMapping = 1

The exact shape and rank (i.e. number of dimensions in the shape) of the input, as specified in the message “ArrayFeatureType”, is passed through to the layers. Supported only for Specification version >= 4 (iOS >= 13, macOS >= 10.15).

Implementations

impl NeuralNetworkMultiArrayShapeMapping

pub fn is_valid(value: i32) -> bool

Returns true if value is a variant of NeuralNetworkMultiArrayShapeMapping.

pub fn from_i32(value: i32) -> Option<NeuralNetworkMultiArrayShapeMapping>

👎Deprecated:

Use the TryFrom<i32> implementation instead

Converts an i32 to a NeuralNetworkMultiArrayShapeMapping, or None if value is not a valid variant.

impl NeuralNetworkMultiArrayShapeMapping

pub fn as_str_name(&self) -> &'static str

String value of the enum field names used in the ProtoBuf definition.

The values are not transformed in any way and thus are considered stable (if the ProtoBuf definition does not change) and safe for programmatic use.

pub fn from_str_name(value: &str) -> Option<Self>

Creates an enum from field names used in the ProtoBuf definition.

Trait Implementations

impl Clone for NeuralNetworkMultiArrayShapeMapping

fn clone(&self) -> NeuralNetworkMultiArrayShapeMapping

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for NeuralNetworkMultiArrayShapeMapping

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

Formats the value using the given formatter.

impl Default for NeuralNetworkMultiArrayShapeMapping

fn default() -> NeuralNetworkMultiArrayShapeMapping

Returns the “default value” for a type.

impl From<NeuralNetworkMultiArrayShapeMapping> for i32

fn from(value: NeuralNetworkMultiArrayShapeMapping) -> i32

Converts to this type from the input type.

impl Hash for NeuralNetworkMultiArrayShapeMapping

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

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 Ord for NeuralNetworkMultiArrayShapeMapping

fn cmp(&self, other: &NeuralNetworkMultiArrayShapeMapping) -> Ordering

This method returns an Ordering between self and other.

fn max(self, other: Self) -> Self

where Self: Sized,

Compares and returns the maximum of two values.

fn min(self, other: Self) -> Self

where Self: Sized,

Compares and returns the minimum of two values.

fn clamp(self, min: Self, max: Self) -> Self

where Self: Sized,

Restrict a value to a certain interval.

impl PartialEq for NeuralNetworkMultiArrayShapeMapping

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl PartialOrd for NeuralNetworkMultiArrayShapeMapping

fn partial_cmp( &self, other: &NeuralNetworkMultiArrayShapeMapping, ) -> Option<Ordering>

This method returns an ordering between self and other values if one exists.

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

Tests less than (for self and other) and is used by the < operator.

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

Tests less than or equal to (for self and other) and is used by the <= operator.

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

Tests greater than (for self and other) and is used by the > operator.

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

Tests greater than or equal to (for self and other) and is used by the >= operator.

impl TryFrom<i32> for NeuralNetworkMultiArrayShapeMapping

type Error = UnknownEnumValue

The type returned in the event of a conversion error.

fn try_from( value: i32, ) -> Result<NeuralNetworkMultiArrayShapeMapping, UnknownEnumValue>

Performs the conversion.

impl Copy for NeuralNetworkMultiArrayShapeMapping

impl Eq for NeuralNetworkMultiArrayShapeMapping

impl StructuralPartialEq for NeuralNetworkMultiArrayShapeMapping