Mojo function

sum

sum(src: NDBuffer[type, 1]) -> SIMD[type, 1]

Computes the sum of buffer elements.

Args:

src (NDBuffer[type, 1]): The buffer.

Returns:

The sum of the buffer elements.

sum[reduce_axis: Int](src: NDBuffer[type, rank, shape, strides, alignment=alignment, address_space=address_space, exclusive=exclusive, origin=origin], dst: NDBuffer[type, rank, shape])

Computes the sum across reduce_axis of an NDBuffer.

Parameters:

reduce_axis (Int): The axis to reduce across.

Args:

src (NDBuffer[type, rank, shape, strides, alignment=alignment, address_space=address_space, exclusive=exclusive, origin=origin]): The input buffer.
dst (NDBuffer[type, rank, shape]): The output buffer.

sum[: origin.set, : origin.set, //, type: DType, input_fn: fn[Int, Int](Index[$1]) capturing -> SIMD[type, $0], output_fn: fn[Int, Int](Index[$1], SIMD[type, $0]) capturing -> None, /, single_thread_blocking_override: Bool = False, target: StringLiteral = "cpu"](input_shape: Index[size], reduce_dim: Int, context: DeviceContextPtr = DeviceContextPtr())

Computes the sum across the input and output shape.

This performs the sum computation on the domain specified by input_shape, loading the inputs using the input_fn. The results are stored using the output_fn.

Parameters:

type (DType): The type of the input and output.
input_fn (fn[Int, Int](Index[$1]) capturing -> SIMD[type, $0]): The function to load the input.
output_fn (fn[Int, Int](Index[$1], SIMD[type, $0]) capturing -> None): The function to store the output.
single_thread_blocking_override (Bool): If True, then the operation is run synchronously using a single thread.
target (StringLiteral): The target to run on.

Args:

input_shape (Index[size]): The input shape.
reduce_dim (Int): The axis to perform the sum on.
context (DeviceContextPtr): The pointer to DeviceContext.