pub struct MixedPrecisionProcessor { /* private fields */ }Expand description
Mixed precision training and inference
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Source§impl MixedPrecisionProcessor
impl MixedPrecisionProcessor
Sourcepub fn new(config: GpuAccelerationConfig) -> Self
pub fn new(config: GpuAccelerationConfig) -> Self
Create new mixed precision processor
Sourcepub fn to_fp16(&self, tensor: &Array2<f32>) -> Array2<f32>
pub fn to_fp16(&self, tensor: &Array2<f32>) -> Array2<f32>
Convert tensor to FP16 for computation
Sourcepub fn scale_loss(&self, loss: f32) -> f32
pub fn scale_loss(&self, loss: f32) -> f32
Apply loss scaling for gradient computation
Sourcepub fn unscale_gradients(&self, gradients: &mut Array2<f32>) -> bool
pub fn unscale_gradients(&self, gradients: &mut Array2<f32>) -> bool
Unscale gradients after loss scaling
Sourcepub fn adjust_loss_scaling(&mut self, overflow_detected: bool)
pub fn adjust_loss_scaling(&mut self, overflow_detected: bool)
Adjust loss scaling based on overflow detection
Auto Trait Implementations§
impl Freeze for MixedPrecisionProcessor
impl RefUnwindSafe for MixedPrecisionProcessor
impl Send for MixedPrecisionProcessor
impl Sync for MixedPrecisionProcessor
impl Unpin for MixedPrecisionProcessor
impl UnwindSafe for MixedPrecisionProcessor
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