Struct BatchNormConfig

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pub struct BatchNormConfig {
    pub num_features: usize,
    pub epsilon: f64,
    pub momentum: f64,
    pub affine: bool,
}

Expand description

Configuration for TensorBatchNorm.

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§num_features: usize

Number of channels / features (C in an [N, C] input).

§epsilon: f64

Small constant added to the variance for numerical stability.

§momentum: f64

Momentum for the exponential moving average of running statistics.

§affine: bool

Whether to apply learnable affine parameters γ and β.

Implementations§

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impl BatchNormConfig

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pub fn default_for(num_features: usize) -> Self

Create a BatchNormConfig with sensible defaults for num_features.

Trait Implementations§

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impl Clone for BatchNormConfig

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fn clone(&self) -> BatchNormConfig

Returns a duplicate of the value. Read more

1.0.0 (const: unstable) · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more

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impl Debug for BatchNormConfig

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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 BatchNormConfig

Blanket Implementations§

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impl<T> Allocation for T
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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)

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