Struct MixedPrecisionManager

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pub struct MixedPrecisionManager<F: Float + Debug + ScalarOperand + FromPrimitive + Send + Sync + Display, LF: Float + Debug + ScalarOperand + Send + Sync> {
    pub config: MixedPrecisionConfig,
    /* private fields */
}
Expand description

Mixed precision training manager

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§config: MixedPrecisionConfig

Configuration for mixed precision training

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impl<F: Float + Debug + ScalarOperand + FromPrimitive + Send + Sync + Display, LF: Float + Debug + ScalarOperand + Send + Sync> MixedPrecisionManager<F, LF>

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pub fn new(config: MixedPrecisionConfig) -> Self

Create a new mixed precision manager

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pub fn initialize<L: Layer<F> + Clone + Send + Sync + 'static>( &mut self, model: &L, ) -> Result<()>

Initialize the manager with a model

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pub fn to_low_precision<L: Layer<F> + ?Sized, L2: Layer<LF> + ?Sized>( &self, high_precision_model: &L, low_precision_model: &mut L2, ) -> Result<()>

Convert a model’s parameters to low precision

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pub fn gradients_to_high_precision( &mut self, low_precision_gradients: &[Array<LF, IxDyn>], ) -> Result<Vec<Array<F, IxDyn>>>

Convert gradients from low to high precision

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pub fn train_step<LM: Layer<LF> + ?Sized, HM: Layer<F> + ParamLayer<F> + ?Sized, O: Optimizer<F> + OptimizerStep<F>>( &mut self, low_precision_model: &mut LM, high_precision_model: &mut HM, optimizer: &mut O, inputs: &Array<F, IxDyn>, targets: &Array<F, IxDyn>, loss_fn: &dyn Loss<F>, ) -> Result<F>

Train a step with mixed precision

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pub fn get_loss_scale(&self) -> F

Get the current loss scale

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pub fn get_success_counter(&self) -> usize

Get the number of consecutive successful steps

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pub fn overflow_occurred(&self) -> bool

Check if overflow occurred in the last step

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pub fn train_epoch<LM: Layer<LF> + ?Sized, HM: ParamLayer<F> + ?Sized, O: Optimizer<F>, D: Dataset<F> + Clone>( &mut self, low_precision_model: &mut LM, high_precision_model: &mut HM, optimizer: &mut O, dataset: &D, loss_fn: &dyn Loss<F>, batch_size: usize, shuffle: bool, ) -> Result<(F, usize)>

Train for one epoch with mixed precision

Auto Trait Implementations§

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impl<F, LF> Freeze for MixedPrecisionManager<F, LF>
where F: Freeze,

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impl<F, LF> !RefUnwindSafe for MixedPrecisionManager<F, LF>

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impl<F, LF> Send for MixedPrecisionManager<F, LF>

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impl<F, LF> Sync for MixedPrecisionManager<F, LF>

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impl<F, LF> Unpin for MixedPrecisionManager<F, LF>
where F: Unpin,

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impl<F, LF> !UnwindSafe for MixedPrecisionManager<F, LF>

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impl<T> Any for T
where T: 'static + ?Sized,

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Gets the TypeId of self. Read more
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impl<T> Borrow<T> for T
where T: ?Sized,

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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into<U> for T
where U: From<T>,

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Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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fn into_either(self, into_left: bool) -> Either<Self, Self>

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
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where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
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impl<T> Pointable for T

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const ALIGN: usize

The alignment of pointer.
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type Init = T

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