Struct MatMulBackward

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pub struct MatMulBackward {
    pub output_id: TensorId,
    pub lhs_id: Option<TensorId>,
    pub rhs_id: Option<TensorId>,
    pub lhs_data: Buffer,
    pub rhs_data: Buffer,
    pub lhs_shape: Shape,
    pub rhs_shape: Shape,
}

Expand description

The backward operation for matrix multiplication.

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§output_id: TensorId§lhs_id: Option<TensorId>§rhs_id: Option<TensorId>§lhs_data: Buffer§rhs_data: Buffer§lhs_shape: Shape§rhs_shape: Shape

Trait Implementations§

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impl TapeAction for MatMulBackward

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fn backward(&self, grads: &mut Gradients) -> EtensorResult<()>

Executes the backward mathematical derivative, accumulating results into the Gradients map.

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fn name(&self) -> String

Returns a human-readable identifier for explainability and graph visualization. (e.g., “Add(TensorId(1), TensorId(2))”)

Auto Trait Implementations§

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impl UnwindSafe for MatMulBackward

Blanket Implementations§

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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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