Struct GradientScaler

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pub struct GradientScaler { /* private fields */ }

Expand description

Gradient scaler for mixed precision training

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impl GradientScaler

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pub fn new( initial_scale: Float, growth_interval: usize, backoff_factor: Float, growth_factor: Float, ) -> Self

Create new gradient scaler

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pub fn scale(&self, value: Float) -> Float

Scale value

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pub fn unscale(&self, value: Float) -> Float

Unscale value

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pub fn update(&mut self, overflow_detected: bool)

Update scale based on overflow detection

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pub fn should_skip_step(&self) -> bool

Check if step should be skipped

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pub fn get_scale(&self) -> Float

Get current scale

Auto Trait Implementations§

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impl UnwindSafe for GradientScaler

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

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where T: ?Sized,

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impl<T> BorrowMut<T> for T
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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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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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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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