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Mojo function

transpose_3d_swap_inner

def transpose_3d_swap_inner[rank: Int, dtype: DType, //](output: TileTensor[dtype, Storage=output.Storage, linear_idx_type=output.linear_idx_type], input: TileTensor[dtype, Storage=input.Storage, linear_idx_type=input.linear_idx_type], perms: Pointer[Int, _safe=False], simplified_input_shape: IndexList[rank], simplified_rank: Int)

Transposes the inner two axes of a batched rank-3 tensor.

Iterates over the leading axis and applies the serial tiled 2D transpose to each MxN slice, advancing the flat offset by the slice size each iteration.

Parameters:

rank (Int): Number of dimensions in the simplified_input_shape array (inferred).
dtype (DType): Element type of the input and output buffers (inferred).

Args:

output (TileTensor[dtype, Storage=output.Storage, linear_idx_type=output.linear_idx_type]): The output buffer with the inner two axes swapped.
input (TileTensor[dtype, Storage=input.Storage, linear_idx_type=input.linear_idx_type]): The input buffer.
perms (Pointer[Int, _safe=False]): Permutation of the input axes.
simplified_input_shape (IndexList[rank]): Shape of the tensor after simplification.
simplified_rank (Int): Effective rank after simplification.