burn::tensor::ops

Struct MaxPool2dBackward

pub struct MaxPool2dBackward<B>where
    B: Backend,{
    pub x_grad: <B as Backend>::FloatTensorPrimitive,
}

Expand description

Gradient computed during the backward pass for each tensor used by max_pool2d.

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§x_grad: ::FloatTensorPrimitive

Gradient.

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impl MaxPool2dBackward
where B: Backend,

pub fn new(x_grad: ::FloatTensorPrimitive) -> MaxPool2dBackward

Constructs a new MaxPool2dBackward.

Auto Trait Implementations§

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impl Freeze for MaxPool2dBackward
where ::FloatTensorPrimitive: Freeze,

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impl RefUnwindSafe for MaxPool2dBackward
where ::FloatTensorPrimitive: RefUnwindSafe,

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impl UnwindSafe for MaxPool2dBackward
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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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> 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

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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