Struct leaf::layers::container::sequential::SequentialConfig

pub struct SequentialConfig {
    pub layers: Vec<LayerConfig>,
    pub inputs: Vec<(String, Vec<usize>)>,
    pub force_backward: bool,
}

Specifies configuration parameters for a Sequential Layer.

Fields

layers: Vec<LayerConfig>

Defines the layers of the container via LayerConfigs.

inputs: Vec<(String, Vec<usize>)>

Defines the names and shapes of the input tensors.

The inputs are identified by name so they can be referenced as input tensors in a LayerConfig.

force_backward: bool

Defines if the container will force every layer to do backpropagation.

If set to false, then the execution of backpropagation is determined automatically according to the network structure and learning rates.

Default: false

Methods

impl SequentialConfig

fn find_in_place_output(&self, n: usize) -> Option<String>

Tries to find the output of a previous layer that is usable as in-place output for the n-th layer.

fn add_layer(&mut self, layer: LayerConfig)

Add layer at the end of the sequential container.

fn add_input(&mut self, input_name: &str, shape: &[usize])

Add a input to the network.

Trait Implementations

impl Debug for SequentialConfig

fn fmt(&self, __arg_0: &mut Formatter) -> Result

Formats the value using the given formatter.

impl Clone for SequentialConfig

fn clone(&self) -> SequentialConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Into<LayerType> for SequentialConfig

fn into(self) -> LayerType

Performs the conversion.

impl Default for SequentialConfig

fn default() -> SequentialConfig

Returns the "default value" for a type.