pub struct PruningMetrics {
pub achieved_sparsity: f32,
pub target_sparsity: f32,
pub total_parameters: usize,
pub parameters_pruned: usize,
pub parameters_remaining: usize,
pub layer_sparsity: Vec<(String, f32)>,
pub pre_prune_ppl: Option<f32>,
pub post_prune_ppl: Option<f32>,
pub ppl_increase_pct: Option<f32>,
pub finetune_losses: Vec<f32>,
pub stage_durations: Vec<(PruningStage, f64)>,
}Expand description
Metrics collected during pruning.
Fields§
§achieved_sparsity: f32Achieved sparsity (0.0 to 1.0).
target_sparsity: f32Target sparsity.
total_parameters: usizeTotal parameters in model.
parameters_pruned: usizeParameters pruned (set to zero).
parameters_remaining: usizeParameters remaining (non-zero).
layer_sparsity: Vec<(String, f32)>Per-layer sparsity.
pre_prune_ppl: Option<f32>Pre-pruning perplexity (if evaluated).
post_prune_ppl: Option<f32>Post-pruning perplexity (if evaluated).
ppl_increase_pct: Option<f32>Perplexity increase percentage.
finetune_losses: Vec<f32>Fine-tuning loss curve.
stage_durations: Vec<(PruningStage, f64)>Duration of each stage in seconds.
Implementations§
Source§impl PruningMetrics
impl PruningMetrics
Sourcepub fn update_sparsity(&mut self, pruned: usize, total: usize)
pub fn update_sparsity(&mut self, pruned: usize, total: usize)
Update achieved sparsity and parameter counts.
Sourcepub fn add_layer_sparsity(&mut self, name: impl Into<String>, sparsity: f32)
pub fn add_layer_sparsity(&mut self, name: impl Into<String>, sparsity: f32)
Add layer sparsity.
Sourcepub fn set_pre_prune_ppl(&mut self, ppl: f32)
pub fn set_pre_prune_ppl(&mut self, ppl: f32)
Set pre-pruning perplexity.
Sourcepub fn set_post_prune_ppl(&mut self, ppl: f32)
pub fn set_post_prune_ppl(&mut self, ppl: f32)
Set post-pruning perplexity and compute increase.
Sourcepub fn record_finetune_loss(&mut self, loss: f32)
pub fn record_finetune_loss(&mut self, loss: f32)
Record a fine-tuning loss.
Sourcepub fn record_stage_duration(&mut self, stage: PruningStage, duration_secs: f64)
pub fn record_stage_duration(&mut self, stage: PruningStage, duration_secs: f64)
Record stage duration.
Sourcepub fn sparsity_gap(&self) -> f32
pub fn sparsity_gap(&self) -> f32
Get sparsity gap (target - achieved).
Sourcepub fn target_achieved(&self) -> bool
pub fn target_achieved(&self) -> bool
Check if target sparsity was achieved.
Sourcepub fn mean_layer_sparsity(&self) -> f32
pub fn mean_layer_sparsity(&self) -> f32
Get mean layer sparsity.
Sourcepub fn layer_sparsity_variance(&self) -> f32
pub fn layer_sparsity_variance(&self) -> f32
Get sparsity variance across layers.
Sourcepub fn total_duration_secs(&self) -> f64
pub fn total_duration_secs(&self) -> f64
Get total pipeline duration.
Trait Implementations§
Source§impl Clone for PruningMetrics
impl Clone for PruningMetrics
Source§fn clone(&self) -> PruningMetrics
fn clone(&self) -> PruningMetrics
Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source. Read moreSource§impl Debug for PruningMetrics
impl Debug for PruningMetrics
Source§impl Default for PruningMetrics
impl Default for PruningMetrics
Source§fn default() -> PruningMetrics
fn default() -> PruningMetrics
Returns the “default value” for a type. Read more
Source§impl<'de> Deserialize<'de> for PruningMetrics
impl<'de> Deserialize<'de> for PruningMetrics
Source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
Auto Trait Implementations§
impl Freeze for PruningMetrics
impl RefUnwindSafe for PruningMetrics
impl Send for PruningMetrics
impl Sync for PruningMetrics
impl Unpin for PruningMetrics
impl UnsafeUnpin for PruningMetrics
impl UnwindSafe for PruningMetrics
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