Struct DeformConv2dConfig 

pub struct DeformConv2dConfig {
    pub channels: [usize; 2],
    pub kernel_size: [usize; 2],
    pub stride: [usize; 2],
    pub dilation: [usize; 2],
    pub weight_groups: usize,
    pub offset_groups: usize,
    pub padding: PaddingConfig2d,
    pub bias: bool,
    pub initializer: Initializer,
}

Configuration to create a deformable 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.

weight_groups: usize

Controls the connections between input and output channels.

offset_groups: usize

Offset groups.

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 DeformConv2dConfig

pub fn new(channels: [usize; 2], kernel_size: [usize; 2]) -> DeformConv2dConfig

Create a new instance of the config.

Arguments

Required Arguments

channels

The number of channels.

kernel_size

The size of the kernel.

Default Arguments

stride

The stride of the convolution.

• Defaults to "[1, 1]"

dilation

Spacing between kernel elements.

• Defaults to "[1, 1]"

weight_groups

Controls the connections between input and output channels.

• Defaults to "1"

offset_groups

Offset groups.

• Defaults to "1"

padding

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.

• Defaults to "PaddingConfig2d::Valid"

bias

If bias should be added to the output.

• Defaults to true

initializer

The type of function used to initialize neural network parameters

• Defaults to "Initializer::KaimingUniform{gain:1.0/num_traits::Float::sqrt(3.0),fan_out_only:false}"

impl DeformConv2dConfig

pub fn with_stride(self, stride: [usize; 2]) -> DeformConv2dConfig

Sets the value for the field stride.

The stride of the convolution.

• Defaults to "[1, 1]"

pub fn with_dilation(self, dilation: [usize; 2]) -> DeformConv2dConfig

Sets the value for the field dilation.

Spacing between kernel elements.

• Defaults to "[1, 1]"

pub fn with_weight_groups(self, weight_groups: usize) -> DeformConv2dConfig

Sets the value for the field weight_groups.

Controls the connections between input and output channels.

• Defaults to "1"

pub fn with_offset_groups(self, offset_groups: usize) -> DeformConv2dConfig

Sets the value for the field offset_groups.

Offset groups.

• Defaults to "1"

pub fn with_padding(self, padding: PaddingConfig2d) -> DeformConv2dConfig

Sets the value for the field padding.

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.

• Defaults to "PaddingConfig2d::Valid"

pub fn with_bias(self, bias: bool) -> DeformConv2dConfig

Sets the value for the field bias.

If bias should be added to the output.

• Defaults to true

pub fn with_initializer(self, initializer: Initializer) -> DeformConv2dConfig

Sets the value for the field initializer.

The type of function used to initialize neural network parameters

• Defaults to "Initializer::KaimingUniform{gain:1.0/num_traits::Float::sqrt(3.0),fan_out_only:false}"

impl DeformConv2dConfig

pub fn init<B>(&self, device: &<B as BackendTypes>::Device) -> DeformConv2d<B>

where B: Backend,

Initialize a new DeformConv2d module.

Trait Implementations

impl Clone for DeformConv2dConfig

fn clone(&self) -> DeformConv2dConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Config for DeformConv2dConfig

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 DeformConv2dConfig

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for DeformConv2dConfig

fn deserialize<D>( deserializer: D, ) -> Result<DeformConv2dConfig, <D as Deserializer<'de>>::Error>

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Display for DeformConv2dConfig

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

Formats the value using the given formatter.

impl Serialize for DeformConv2dConfig

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.