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Mojo function
transpose_4d_swap_middle
def transpose_4d_swap_middle[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, ctx: Optional[DeviceContext] = None)
Transposes the middle two axes of a rank-4 tensor.
Maps an LxMxNxK input to an LxNxMxK output by swapping the M and N
axes while copying contiguous K-sized slices.
Parameters:
- βrank (
Int): Number of dimensions in thesimplified_input_shapearray (inferred). - βdtype (
DType): Element type of theinputandoutputbuffers (inferred).
Args:
- βoutput (
TileTensor[dtype, Storage=output.Storage, linear_idx_type=output.linear_idx_type]): The output buffer with the middle two axes swapped. - βinput (
TileTensor[dtype, Storage=input.Storage, linear_idx_type=input.linear_idx_type]): The input buffer. - βperms (
Pointer[Int, _safe=False]): Permutation of the input axes. - βsimplified_input_shape (
IndexList[rank]): Shape of the tensor after simplification. - βsimplified_rank (
Int): Effective rank after simplification. - βctx (
Optional[DeviceContext]): The context to execute the work on.
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