Struct burn::tensor::ops::Conv2dBackward

pub struct Conv2dBackward<B>where
    B: Backend,{
    pub x_grad: <B as Backend>::FloatTensorPrimitive,
    pub weights_grad: <B as Backend>::FloatTensorPrimitive,
    pub bias_grad: Option<<B as Backend>::FloatTensorPrimitive>,
}

Expand description

Gradient computed during the backward pass for each tensor used by conv2d.

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§x_grad: ::FloatTensorPrimitive

Gradient.

§weights_grad: ::FloatTensorPrimitive

Weights gradient.

§bias_grad: Option<::FloatTensorPrimitive>

Bias gradient.

Implementations§

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impl Conv2dBackward
where B: Backend,

pub fn new( x_grad: ::FloatTensorPrimitive, weights_grad: ::FloatTensorPrimitive, bias_grad: Option<::FloatTensorPrimitive>, ) -> Conv2dBackward

Constructs a new Conv2dBackward.

Auto Trait Implementations§

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impl Freeze for Conv2dBackward
where ::FloatTensorPrimitive: Freeze,

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impl RefUnwindSafe for Conv2dBackward
where ::FloatTensorPrimitive: RefUnwindSafe,

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impl UnwindSafe for Conv2dBackward
where ::FloatTensorPrimitive: UnwindSafe,

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impl<T> Adaptor<()> for T

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fn adapt(&self)

Adapt the type to be passed to a metric.

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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> Downcast<T> for T

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fn downcast(&self) -> &T

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impl<T> From<T> for T

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fn from(t: T) -> T

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impl<T> Instrument for T

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fn instrument(self, span: Span) -> Instrumented<Self>

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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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