Struct NeuralNetworkLayer 

pub struct NeuralNetworkLayer {
    pub name: String,
    pub input: Vec<String>,
    pub output: Vec<String>,
    pub input_tensor: Vec<Tensor>,
    pub output_tensor: Vec<Tensor>,
    pub is_updatable: bool,
    pub layer: Option<Layer>,
}

A single neural network layer.

Fields

name: String

descriptive name of the layer

input: Vec<String>

output: Vec<String>

input_tensor: Vec<Tensor>

must be the same length as the “input” field

output_tensor: Vec<Tensor>

must be the same length as the “output” field

is_updatable: bool

Must be set to true to mark the layer as updatable. If true, the weightParams in the layer’s properties must also be set to updatable If false, the value of the isUpdatable parameter within the layer’s weights are ignored

layer: Option<Layer>

Trait Implementations

impl Clone for NeuralNetworkLayer

fn clone(&self) -> NeuralNetworkLayer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for NeuralNetworkLayer

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

Formats the value using the given formatter.

impl Default for NeuralNetworkLayer

fn default() -> Self

Returns the “default value” for a type.

impl Message for NeuralNetworkLayer

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited( &self, buf: &mut impl BufMut, ) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for NeuralNetworkLayer

fn eq(&self, other: &NeuralNetworkLayer) -> 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 StructuralPartialEq for NeuralNetworkLayer