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BinaryExpr

torsh_core::tensor_expr

Struct BinaryExpr 

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pub struct BinaryExpr<L, R, Op> { /* private fields */ }
Expand description

Binary operation expression

Represents a binary operation between two expressions

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impl<L, R, Op> BinaryExpr<L, R, Op>

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pub fn new(left: L, right: R) -> Self

Create a new binary expression

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impl<L, R> Add<R> for BinaryExpr<L, R, AddOp>
where L: TensorExpr, R: TensorExpr<Scalar = L::Scalar>, L::Scalar: Add<Output = L::Scalar>,

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type Output = BinaryExpr<BinaryExpr<L, R, AddOp>, R, AddOp>

The resulting type after applying the + operator.
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fn add(self, rhs: R) -> Self::Output

Performs the + operation. Read more
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impl<L: Clone, R: Clone, Op: Clone> Clone for BinaryExpr<L, R, Op>

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fn clone(&self) -> BinaryExpr<L, R, Op>

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl<L: Debug, R: Debug, Op: Debug> Debug for BinaryExpr<L, R, Op>

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl<L, R> Div<R> for BinaryExpr<L, R, DivOp>
where L: TensorExpr, R: TensorExpr<Scalar = L::Scalar>, L::Scalar: Div<Output = L::Scalar>,

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type Output = BinaryExpr<BinaryExpr<L, R, DivOp>, R, DivOp>

The resulting type after applying the / operator.
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fn div(self, rhs: R) -> Self::Output

Performs the / operation. Read more
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impl<L, R> Mul<R> for BinaryExpr<L, R, MulOp>
where L: TensorExpr, R: TensorExpr<Scalar = L::Scalar>, L::Scalar: Mul<Output = L::Scalar>,

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type Output = BinaryExpr<BinaryExpr<L, R, MulOp>, R, MulOp>

The resulting type after applying the * operator.
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fn mul(self, rhs: R) -> Self::Output

Performs the * operation. Read more
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impl<L, R> Sub<R> for BinaryExpr<L, R, SubOp>
where L: TensorExpr, R: TensorExpr<Scalar = L::Scalar>, L::Scalar: Sub<Output = L::Scalar>,

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type Output = BinaryExpr<BinaryExpr<L, R, SubOp>, R, SubOp>

The resulting type after applying the - operator.
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fn sub(self, rhs: R) -> Self::Output

Performs the - operation. Read more
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impl<L, R> TensorExpr for BinaryExpr<L, R, AddOp>
where L: TensorExpr, R: TensorExpr<Scalar = L::Scalar>, L::Scalar: Add<Output = L::Scalar>,

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type Scalar = <L as TensorExpr>::Scalar

The scalar type of the expression result
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fn eval(&self, index: usize) -> Self::Scalar

Evaluate the expression at the given linear index Read more
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fn len(&self) -> usize

Get the total number of elements in the expression
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fn is_empty(&self) -> bool

Check if the expression is empty
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fn map<F, S>(self, f: F) -> MapExpr<Self, F, S>
where F: Fn(Self::Scalar) -> S, S: Copy,

Map this expression to a new expression by applying a function
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fn reduce<F>(&self, init: Self::Scalar, f: F) -> Self::Scalar
where F: Fn(Self::Scalar, Self::Scalar) -> Self::Scalar,

Reduce this expression to a single value
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fn sum(&self) -> Self::Scalar
where Self::Scalar: Add<Output = Self::Scalar> + Default,

Sum all elements in the expression
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fn max(&self) -> Option<Self::Scalar>
where Self::Scalar: PartialOrd,

Find the maximum element in the expression
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fn min(&self) -> Option<Self::Scalar>
where Self::Scalar: PartialOrd,

Find the minimum element in the expression
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fn materialize(&self) -> Vec<Self::Scalar>

Materialize the expression into a vector Read more
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fn apply_to_slice(&self, output: &mut [Self::Scalar])

Apply the expression to a mutable slice Read more
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impl<L, R> TensorExpr for BinaryExpr<L, R, DivOp>
where L: TensorExpr, R: TensorExpr<Scalar = L::Scalar>, L::Scalar: Div<Output = L::Scalar>,

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type Scalar = <L as TensorExpr>::Scalar

The scalar type of the expression result
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fn eval(&self, index: usize) -> Self::Scalar

Evaluate the expression at the given linear index Read more
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fn len(&self) -> usize

Get the total number of elements in the expression
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fn is_empty(&self) -> bool

Check if the expression is empty
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fn map<F, S>(self, f: F) -> MapExpr<Self, F, S>
where F: Fn(Self::Scalar) -> S, S: Copy,

Map this expression to a new expression by applying a function
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fn reduce<F>(&self, init: Self::Scalar, f: F) -> Self::Scalar
where F: Fn(Self::Scalar, Self::Scalar) -> Self::Scalar,

Reduce this expression to a single value
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fn sum(&self) -> Self::Scalar
where Self::Scalar: Add<Output = Self::Scalar> + Default,

Sum all elements in the expression
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fn max(&self) -> Option<Self::Scalar>
where Self::Scalar: PartialOrd,

Find the maximum element in the expression
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fn min(&self) -> Option<Self::Scalar>
where Self::Scalar: PartialOrd,

Find the minimum element in the expression
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fn materialize(&self) -> Vec<Self::Scalar>

Materialize the expression into a vector Read more
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fn apply_to_slice(&self, output: &mut [Self::Scalar])

Apply the expression to a mutable slice Read more
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impl<L, R> TensorExpr for BinaryExpr<L, R, MulOp>
where L: TensorExpr, R: TensorExpr<Scalar = L::Scalar>, L::Scalar: Mul<Output = L::Scalar>,

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type Scalar = <L as TensorExpr>::Scalar

The scalar type of the expression result
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fn eval(&self, index: usize) -> Self::Scalar

Evaluate the expression at the given linear index Read more
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fn len(&self) -> usize

Get the total number of elements in the expression
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fn is_empty(&self) -> bool

Check if the expression is empty
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fn map<F, S>(self, f: F) -> MapExpr<Self, F, S>
where F: Fn(Self::Scalar) -> S, S: Copy,

Map this expression to a new expression by applying a function
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fn reduce<F>(&self, init: Self::Scalar, f: F) -> Self::Scalar
where F: Fn(Self::Scalar, Self::Scalar) -> Self::Scalar,

Reduce this expression to a single value
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fn sum(&self) -> Self::Scalar
where Self::Scalar: Add<Output = Self::Scalar> + Default,

Sum all elements in the expression
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fn max(&self) -> Option<Self::Scalar>
where Self::Scalar: PartialOrd,

Find the maximum element in the expression
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fn min(&self) -> Option<Self::Scalar>
where Self::Scalar: PartialOrd,

Find the minimum element in the expression
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fn materialize(&self) -> Vec<Self::Scalar>

Materialize the expression into a vector Read more
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fn apply_to_slice(&self, output: &mut [Self::Scalar])

Apply the expression to a mutable slice Read more
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impl<L, R> TensorExpr for BinaryExpr<L, R, SubOp>
where L: TensorExpr, R: TensorExpr<Scalar = L::Scalar>, L::Scalar: Sub<Output = L::Scalar>,

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type Scalar = <L as TensorExpr>::Scalar

The scalar type of the expression result
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fn eval(&self, index: usize) -> Self::Scalar

Evaluate the expression at the given linear index Read more
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fn len(&self) -> usize

Get the total number of elements in the expression
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fn is_empty(&self) -> bool

Check if the expression is empty
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fn map<F, S>(self, f: F) -> MapExpr<Self, F, S>
where F: Fn(Self::Scalar) -> S, S: Copy,

Map this expression to a new expression by applying a function
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fn reduce<F>(&self, init: Self::Scalar, f: F) -> Self::Scalar
where F: Fn(Self::Scalar, Self::Scalar) -> Self::Scalar,

Reduce this expression to a single value
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fn sum(&self) -> Self::Scalar
where Self::Scalar: Add<Output = Self::Scalar> + Default,

Sum all elements in the expression
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fn max(&self) -> Option<Self::Scalar>
where Self::Scalar: PartialOrd,

Find the maximum element in the expression
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fn min(&self) -> Option<Self::Scalar>
where Self::Scalar: PartialOrd,

Find the minimum element in the expression
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fn materialize(&self) -> Vec<Self::Scalar>

Materialize the expression into a vector Read more
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fn apply_to_slice(&self, output: &mut [Self::Scalar])

Apply the expression to a mutable slice Read more
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impl<L: Copy, R: Copy, Op: Copy> Copy for BinaryExpr<L, R, Op>

Auto Trait Implementations§

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impl<L, R, Op> Freeze for BinaryExpr<L, R, Op>
where L: Freeze, R: Freeze,

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impl<L, R, Op> RefUnwindSafe for BinaryExpr<L, R, Op>
where L: RefUnwindSafe, R: RefUnwindSafe, Op: RefUnwindSafe,

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impl<L, R, Op> Send for BinaryExpr<L, R, Op>
where L: Send, R: Send, Op: Send,

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impl<L, R, Op> Sync for BinaryExpr<L, R, Op>
where L: Sync, R: Sync, Op: Sync,

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impl<L, R, Op> Unpin for BinaryExpr<L, R, Op>
where L: Unpin, R: Unpin, Op: Unpin,

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impl<L, R, Op> UnsafeUnpin for BinaryExpr<L, R, Op>
where L: UnsafeUnpin, R: UnsafeUnpin,

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impl<L, R, Op> UnwindSafe for BinaryExpr<L, R, Op>
where L: UnwindSafe, R: UnwindSafe, Op: UnwindSafe,

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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> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
Performs copy-assignment from self to dest. 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<U> 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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impl<T> MathExpr for T
where T: TensorExpr,

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fn sqr(self) -> SqrExpr<Self>
where Self::Scalar: Mul<Output = Self::Scalar>,

Square each element
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fn abs(self) -> AbsExpr<Self>
where Self::Scalar: PartialOrd + Neg<Output = Self::Scalar> + Default,

Absolute value of each element
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impl<T> Pointable for T

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const ALIGN: usize

The alignment of pointer.
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type Init = T

The type for initializers.
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unsafe fn init(init: <T as Pointable>::Init) -> usize

Initializes a with the given initializer. Read more
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unsafe fn deref<'a>(ptr: usize) -> &'a T

Dereferences the given pointer. Read more
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unsafe fn deref_mut<'a>(ptr: usize) -> &'a mut T

Mutably dereferences the given pointer. Read more
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unsafe fn drop(ptr: usize)

Drops the object pointed to by the given pointer. Read more
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impl<T> ToOwned for T
where T: Clone,

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type Owned = T

The resulting type after obtaining ownership.
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fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more
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fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more
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impl<T, U> TryFrom<U> for T
where U: Into<T>,

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type Error = Infallible

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.
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impl<V, T> VZip<V> for T
where V: MultiLane<T>,

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fn vzip(self) -> V