Struct Conv2dConfig 

pub struct Conv2dConfig {
    pub channels: [usize; 2],
    pub kernel_size: [usize; 2],
    pub stride: [usize; 2],
    pub dilation: [usize; 2],
    pub groups: usize,
    pub padding: PaddingConfig2d,
    pub bias: bool,
    pub initializer: Initializer,
}

Configuration to create a 2D convolution layer, using the init function.

Fields

channels: [usize; 2]

The number of channels.

kernel_size: [usize; 2]

The size of the kernel.

stride: [usize; 2]

The stride of the convolution.

dilation: [usize; 2]

Spacing between kernel elements.

groups: usize

Controls the connections between input and output channels.

padding: PaddingConfig2d

The padding configuration.

Warning

Only symmetric padding is currently supported. As such, using Same padding with an even kernel size is not supported as it will not produce the same output size.

bias: bool

If bias should be added to the output.

initializer: Initializer

The type of function used to initialize neural network parameters

Implementations

impl Conv2dConfig

pub fn new(channels: [usize; 2], kernel_size: [usize; 2]) -> Conv2dConfig

Create a new instance of the config.

impl Conv2dConfig

pub fn with_stride(self, stride: [usize; 2]) -> Conv2dConfig

The stride of the convolution.

pub fn with_dilation(self, dilation: [usize; 2]) -> Conv2dConfig

Spacing between kernel elements.

pub fn with_groups(self, groups: usize) -> Conv2dConfig

Controls the connections between input and output channels.

pub fn with_padding(self, padding: PaddingConfig2d) -> Conv2dConfig

The padding configuration.

pub fn with_bias(self, bias: bool) -> Conv2dConfig

If bias should be added to the output.

pub fn with_initializer(self, initializer: Initializer) -> Conv2dConfig

The type of function used to initialize neural network parameters

impl Conv2dConfig

pub fn init<B>(&self, device: &<B as Backend>::Device) -> Conv2d<B>

where B: Backend,

Initialize a new conv2d module.

Trait Implementations

impl Clone for Conv2dConfig

fn clone(&self) -> Conv2dConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Config for Conv2dConfig

fn save<P>(&self, file: P) -> Result<(), Error>

where P: AsRef<Path>,

Saves the configuration to a file.

fn load<P>(file: P) -> Result<Self, ConfigError>

where P: AsRef<Path>,

Loads the configuration from a file.

fn load_binary(data: &[u8]) -> Result<Self, ConfigError>

Loads the configuration from a binary buffer.

impl Debug for Conv2dConfig

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Conv2dConfig

fn deserialize<D>( deserializer: D, ) -> Result<Conv2dConfig, <D as Deserializer<'de>>::Error>

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Display for Conv2dConfig

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

Formats the value using the given formatter.

impl Serialize for Conv2dConfig

fn serialize<S>( &self, serializer: S, ) -> Result<<S as Serializer>::Ok, <S as Serializer>::Error>

where S: Serializer,

Serialize this value into the given Serde serializer.