Struct MixedPrecisionTrainer

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pub struct MixedPrecisionTrainer { /* private fields */ }

Expand description

Mixed precision training manager with automatic loss scaling

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impl MixedPrecisionTrainer

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pub fn new( tensor_core_info: TensorCoreInfo, config: &TensorCoreConfig, ) -> Result<Self, GpuOptimError>

Create new mixed precision trainer

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pub fn update_loss_scale(&mut self, hasoverflow: bool)

Update loss scale based on gradient overflow detection

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pub fn get_loss_scale(&self) -> f32

Get current loss scale

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pub fn select_optimal_precision( &self, operation_type: TensorCoreOperationType, ) -> TensorCorePrecision

Select optimal precision for current operation

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pub fn get_statistics(&self) -> MixedPrecisionStats

Get training statistics

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impl Debug for MixedPrecisionTrainer

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

Formats the value using the given formatter. Read more

Auto Trait Implementations§

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impl UnwindSafe for MixedPrecisionTrainer

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

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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

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

Mutably borrows from an owned value. Read more

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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 for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

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

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impl<T> IntoEither for T

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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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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
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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