Mojo function

min

min(src: Buffer[type, size, address_space=address_space, origin=origin]) -> SIMD[$0, 1]

Computes the min element in a buffer.

Args:

src (Buffer[type, size, address_space=address_space, origin=origin]): The buffer.

Returns:

The minimum of the buffer elements.

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

Computes the min 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]): The input buffer.
dst (NDBuffer[type, rank, shape]): The output buffer.

min[: origin.set, : origin.set, //, type: DType, input_fn: fn[Int, Int](IndexList[$1]) capturing -> SIMD[$1|2, $0], output_fn: fn[Int, Int](IndexList[$1], SIMD[$1|2, $0]) capturing -> None, /, single_thread_blocking_override: Bool = 0, target: StringLiteral = "cpu"](input_shape: IndexList[size], reduce_dim: Int, context: MojoCallContextPtr = MojoCallContextPtr())

Computes the min across the input and output shape.

This performs the min 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](IndexList[$1]) capturing -> SIMD[$1|2, $0]): The function to load the input.
output_fn (fn[Int, Int](IndexList[$1], SIMD[$1|2, $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 (IndexList[size]): The input shape.
reduce_dim (Int): The axis to perform the min on.
context (MojoCallContextPtr): The pointer to DeviceContext.