Struct GradScaler

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pub struct GradScaler { /* private fields */ }

Expand description

Gradient scaler for mixed precision training

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impl GradScaler

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pub fn new(config: MixedPrecisionConfig) -> Self

Create new gradient scaler

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pub fn scale_loss(&self, loss: &Tensor) -> Tensor

Scale loss for backward pass

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pub fn unscale_gradients(&self, gradients: &mut HashMap<String, Tensor>) -> bool

Unscale gradients

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pub fn step<F>( &mut self, optimizer_step: F, gradients: &mut HashMap<String, Tensor>, ) -> bool
where F: FnOnce(),

Step optimizer with gradient scaling

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pub fn get_scale(&self) -> f32

Get current scale

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pub fn get_stats(&self) -> (f32, usize, usize)

Get statistics

Auto Trait Implementations§

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impl UnwindSafe for GradScaler

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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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