Table of Contents

Mojo function

min

fn def min[dtype: DType, input_fn: def[width: Int, rank: Int](IndexList[rank]) capturing thin -> SIMD[dtype, width], output_fn: def[width: SIMDLength, rank: Int](IndexList[rank], SIMD[dtype, width]) capturing thin -> None, /, target: StringSpan[ImmStaticOrigin] = StringSpan("cpu"), *, reduce_dim: Int](input_shape: Coord)

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:

  • dtype (DType): The dtype of the input and output.
  • input_fn (def[width: Int, rank: Int](IndexList[rank]) capturing thin -> SIMD[dtype, width]): The function to load the input.
  • output_fn (def[width: SIMDLength, rank: Int](IndexList[rank], SIMD[dtype, width]) capturing thin -> None): The function to store the output.
  • target (StringSpan[ImmStaticOrigin]): The target to run on.
  • reduce_dim (Int): The axis to perform the min on.

Args:

  • input_shape (Coord): The input shape.

Raises:

If the operation fails.

fn def min[dtype: DType](src: Span[Scalar[dtype]]) -> Scalar[dtype]

Computes the min element in a buffer.

Parameters:

  • dtype (DType): The dtype of the input.

Args:

  • src (Span[Scalar[dtype]]): The buffer.

Returns:

Scalar[dtype]: The minimum of the buffer elements.

Raises:

If the operation fails.