numojo.core.traits.backend

Traits

Backend

Extends: AnyType, ImplicitlyDestructible

A trait that defines backends for calculations in the rest of the library.

Aliases

__del__is_trivial

comptime __del__is_trivial

A flag (often compiler generated) to indicate whether the implementation of __del__ is trivial.

The implementation of __del__ is considered to be trivial if: - The struct has a compiler-generated trivial destructor and all its fields have a trivial __del__ method.

In practice, it means that the __del__ can be considered as no-op.

Methods

__init__

__init__(out self: _Self)

static

Initialize the backend.

Args:

• self (_Self) [out]

Returns:

• _Self

math_func_fma

Overload 1

math_func_fma[dtype: DType](self: _Self, array1: NDArray[dtype], array2: NDArray[dtype], array3: NDArray[dtype]) -> NDArray[dtype]

Apply a SIMD level fuse multipy add function of three variables and one return to a NDArray.

Constraints

Both arrays must have the same shape

Parameters:

• dtype (DType): The element type.

Args:

• self (_Self)
• array1 (NDArray): A NDArray.
• array2 (NDArray): A NDArray.
• array3 (NDArray): A NDArray.

Returns:

• NDArray

Raises

If shapes are missmatched or there is a access error.

Overload 2

math_func_fma[dtype: DType](self: _Self, array1: NDArray[dtype], array2: NDArray[dtype], simd: Scalar[dtype]) -> NDArray[dtype]

Apply a SIMD level fuse multipy add function of three variables and one return to a NDArray.

Constraints

Both arrays must have the same shape

Parameters:

• dtype (DType): The element type.

Args:

• self (_Self)
• array1 (NDArray): A NDArray.
• array2 (NDArray): A NDArray.
• simd (Scalar): A SIMD[dtype,1] value to be added.

Returns:

• NDArray

Raises

math_func_1_array_in_one_array_out

math_func_1_array_in_one_array_out[dtype: DType, func: fn[type: DType, simd_w: Int](SIMD[type, simd_w]) -> SIMD[type, simd_w]](self: _Self, array: NDArray[dtype]) -> NDArray[dtype]

Apply a SIMD function of one variable and one return to a NDArray.

Parameters:

• dtype (DType): The element type.
• func (fn[type: DType, simd_w: Int](SIMD[type, simd_w]) -> SIMD[type, simd_w]): The SIMD function to to apply.

Args:

• self (_Self)
• array (NDArray): A NDArray.

Returns:

• NDArray

Raises

math_func_2_array_in_one_array_out

math_func_2_array_in_one_array_out[dtype: DType, func: fn[type: DType, simd_w: Int](SIMD[type, simd_w], SIMD[type, simd_w]) -> SIMD[type, simd_w]](self: _Self, array1: NDArray[dtype], array2: NDArray[dtype]) -> NDArray[dtype]

Apply a SIMD function of two variable and one return to a NDArray.

Constraints

Both arrays must have the same shape

Parameters:

• dtype (DType): The element type.
• func (fn[type: DType, simd_w: Int](SIMD[type, simd_w], SIMD[type, simd_w]) -> SIMD[type, simd_w]): The SIMD function to to apply.

Args:

• self (_Self)
• array1 (NDArray): A NDArray.
• array2 (NDArray): A NDArray.

Returns:

• NDArray

Raises

math_func_1_array_1_scalar_in_one_array_out

math_func_1_array_1_scalar_in_one_array_out[dtype: DType, func: fn[type: DType, simd_w: Int](SIMD[type, simd_w], SIMD[type, simd_w]) -> SIMD[type, simd_w]](self: _Self, array: NDArray[dtype], scalar: Scalar[dtype]) -> NDArray[dtype]

Apply a SIMD function of two variable and one return to a NDArray.

Constraints

Both arrays must have the same shape

Parameters:

• dtype (DType): The element type.
• func (fn[type: DType, simd_w: Int](SIMD[type, simd_w], SIMD[type, simd_w]) -> SIMD[type, simd_w]): The SIMD function to to apply.

Args:

• self (_Self)
• array (NDArray): A NDArray.
• scalar (Scalar): A Scalars.

Returns:

• NDArray

Raises

math_func_1_scalar_1_array_in_one_array_out

math_func_1_scalar_1_array_in_one_array_out[dtype: DType, func: fn[type: DType, simd_w: Int](SIMD[type, simd_w], SIMD[type, simd_w]) -> SIMD[type, simd_w]](self: _Self, scalar: Scalar[dtype], array: NDArray[dtype]) -> NDArray[dtype]

Apply a SIMD function of two variable and one return to a NDArray.

Constraints

Both arrays must have the same shape

Parameters:

• dtype (DType): The element type.
• func (fn[type: DType, simd_w: Int](SIMD[type, simd_w], SIMD[type, simd_w]) -> SIMD[type, simd_w]): The SIMD function to to apply.

Args:

• self (_Self)
• scalar (Scalar): A Scalars.
• array (NDArray): A NDArray.

Returns:

• NDArray

Raises

math_func_compare_2_arrays

math_func_compare_2_arrays[dtype: DType, func: fn[type: DType, simd_w: Int](SIMD[type, simd_w], SIMD[type, simd_w]) -> SIMD[DType.bool, simd_w]](self: _Self, array1: NDArray[dtype], array2: NDArray[dtype]) -> NDArray[DType.bool]

Apply a SIMD comparision function of two variable.

Constraints

Both arrays must have the same shape.

Parameters:

• dtype (DType): The element type.
• func (fn[type: DType, simd_w: Int](SIMD[type, simd_w], SIMD[type, simd_w]) -> SIMD[DType.bool, simd_w]): The SIMD comparision function to to apply.

Args:

• self (_Self)
• array1 (NDArray): A NDArray.
• array2 (NDArray): A NDArray.

Returns:

• NDArray

Raises

math_func_compare_array_and_scalar

math_func_compare_array_and_scalar[dtype: DType, func: fn[type: DType, simd_w: Int](SIMD[type, simd_w], SIMD[type, simd_w]) -> SIMD[DType.bool, simd_w]](self: _Self, array1: NDArray[dtype], scalar: Scalar[dtype]) -> NDArray[DType.bool]

Apply a SIMD comparision function of two variable.

Constraints

Both arrays must have the same shape.

Parameters:

• dtype (DType): The element type.
• func (fn[type: DType, simd_w: Int](SIMD[type, simd_w], SIMD[type, simd_w]) -> SIMD[DType.bool, simd_w]): The SIMD comparision function to to apply.

Args:

• self (_Self)
• array1 (NDArray): A NDArray.
• scalar (Scalar): A scalar.

Returns:

• NDArray

Raises

math_func_is

math_func_is[dtype: DType, func: fn[type: DType, simd_w: Int](SIMD[type, simd_w]) -> SIMD[DType.bool, simd_w]](self: _Self, array: NDArray[dtype]) -> NDArray[DType.bool]

Parameters:

• dtype (DType)
• func (fn[type: DType, simd_w: Int](SIMD[type, simd_w]) -> SIMD[DType.bool, simd_w])

Args:

• self (_Self)
• array (NDArray)

Returns:

• NDArray

Raises