Struct darknet::ffi::network [−] [src]

#[repr(C)]
pub struct network {
    pub n: c_int,
    pub batch: c_int,
    pub seen: *mut usize,
    pub t: *mut c_int,
    pub epoch: f32,
    pub subdivisions: c_int,
    pub layers: *mut layer,
    pub output: *mut f32,
    pub policy: learning_rate_policy,
    pub learning_rate: f32,
    pub momentum: f32,
    pub decay: f32,
    pub gamma: f32,
    pub scale: f32,
    pub power: f32,
    pub time_steps: c_int,
    pub step: c_int,
    pub max_batches: c_int,
    pub scales: *mut f32,
    pub steps: *mut c_int,
    pub num_steps: c_int,
    pub burn_in: c_int,
    pub adam: c_int,
    pub B1: f32,
    pub B2: f32,
    pub eps: f32,
    pub inputs: c_int,
    pub outputs: c_int,
    pub truths: c_int,
    pub notruth: c_int,
    pub h: c_int,
    pub w: c_int,
    pub c: c_int,
    pub max_crop: c_int,
    pub min_crop: c_int,
    pub max_ratio: f32,
    pub min_ratio: f32,
    pub center: c_int,
    pub angle: f32,
    pub aspect: f32,
    pub exposure: f32,
    pub saturation: f32,
    pub hue: f32,
    pub random: c_int,
    pub gpu_index: c_int,
    pub hierarchy: *mut tree,
    pub input: *mut f32,
    pub truth: *mut f32,
    pub delta: *mut f32,
    pub workspace: *mut f32,
    pub train: c_int,
    pub index: c_int,
    pub cost: *mut f32,
    pub clip: f32,
}

Fields

n: c_int batch: c_int seen: *mut usize t: *mut c_int epoch: f32 subdivisions: c_int layers: *mut layer output: *mut f32 policy: learning_rate_policy learning_rate: f32 momentum: f32 decay: f32 gamma: f32 scale: f32 power: f32 time_steps: c_int step: c_int max_batches: c_int scales: *mut f32 steps: *mut c_int num_steps: c_int burn_in: c_int adam: c_int B1: f32 B2: f32 eps: f32 inputs: c_int outputs: c_int truths: c_int notruth: c_int h: c_int w: c_int c: c_int max_crop: c_int min_crop: c_int max_ratio: f32 min_ratio: f32 center: c_int angle: f32 aspect: f32 exposure: f32 saturation: f32 hue: f32 random: c_int gpu_index: c_int hierarchy: *mut tree input: *mut f32 truth: *mut f32 delta: *mut f32 workspace: *mut f32 train: c_int index: c_int cost: *mut f32 clip: f32