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TrainingMetrics

oxigaf_cli::metrics

Struct TrainingMetrics 

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pub struct TrainingMetrics {
    pub iteration: u32,
    pub loss_total: f32,
    pub loss_l1: f32,
    pub loss_ssim: f32,
    pub loss_lpips: Option<f32>,
    pub loss_reg: f32,
    pub num_gaussians: u32,
    pub lr_position: f32,
    pub lr_scaling: f32,
    pub lr_rotation: f32,
    pub memory_mb: Option<u64>,
    pub elapsed_seconds: f32,
}
Expand description

Training metrics for a single iteration.

Captures all relevant training statistics including losses, model size, learning rates, resource usage, and timing information.

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§iteration: u32

Current training iteration.

§loss_total: f32

Total combined loss.

§loss_l1: f32

L1 photometric loss component.

§loss_ssim: f32

SSIM structural similarity loss component.

§loss_lpips: Option<f32>

LPIPS perceptual loss component (optional).

§loss_reg: f32

Regularization loss component.

§num_gaussians: u32

Current number of Gaussians in the model.

§lr_position: f32

Position parameter learning rate.

§lr_scaling: f32

Scaling parameter learning rate.

§lr_rotation: f32

Rotation parameter learning rate.

§memory_mb: Option<u64>

GPU memory usage in megabytes (optional).

§elapsed_seconds: f32

Elapsed training time in seconds.

Trait Implementations§

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impl Clone for TrainingMetrics

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fn clone(&self) -> TrainingMetrics

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for TrainingMetrics

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

Formats the value using the given formatter. Read more
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impl<'de> Deserialize<'de> for TrainingMetrics

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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl Serialize for TrainingMetrics

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fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>
where __S: Serializer,

Serialize this value into the given Serde serializer. Read more

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