Mojo function
top_k
top_k[rank: Int, type: DType, out_idx_type: DType, //, largest: Bool = True, target: StringSlice[StaticConstantOrigin] = __init__[__mlir_type.!kgen.string]("cpu")](input: NDBuffer[type, rank, origin], k: Int, axis: Int, out_vals: NDBuffer[type, rank, origin], out_idxs: NDBuffer[out_idx_type, rank, origin], sorted: Bool, ctx: DeviceContextPtr)
Implementation of the Top K algorithm. Returns the top or bottom K elements and their index along a specified axis.
Parameters:
- rank (
Int
): Rank of the input. - type (
DType
): Data type of the input buffer. - out_idx_type (
DType
): The data type of the output indices (default is DType.int64). - largest (
Bool
): Whether to find the maximum (top k) or minimum value (bottom k). - target (
StringSlice[StaticConstantOrigin]
): The target to run on.
Args:
- input (
NDBuffer[type, rank, origin]
): The input tensor. - k (
Int
): Represents the K largest/smallest value. - axis (
Int
): On which axis it should operate. - out_vals (
NDBuffer[type, rank, origin]
): Output values. - out_idxs (
NDBuffer[out_idx_type, rank, origin]
): Output indices. - sorted (
Bool
): Indicates if the top/bottom K elements are in (stable) sorted order. - ctx (
DeviceContextPtr
): The device call context.
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