This specifically handles the case of a transpose from a vector type
like `vector<8x[4]xf32>` to `vector<[4]x8xf32>`. Such transposes occur
fairly frequently when scalably vectorizing `linalg.generic`s. There is
no direct lowering for these (as types like `vector<[4]x8xf32>` cannot
be represented in LLVM-IR). However, if the only use of the transpose is
a write, then it is possible to lower the `transfer_write(transpose)` as
a VLA loop.
Example:
```mlir
%transpose = vector.transpose %vec, [1, 0]
: vector<4x[4]xf32> to vector<[4]x4xf32>
vector.transfer_write %transpose, %dest[%i, %j] {in_bounds = [true, true]}
: vector<[4]x4xf32>, memref<?x?xf32>
```
Becomes:
```mlir
%c1 = arith.constant 1 : index
%c4 = arith.constant 4 : index
%c0 = arith.constant 0 : index
%0 = vector.extract %arg0[0] : vector<[4]xf32> from vector<4x[4]xf32>
%1 = vector.extract %arg0[1] : vector<[4]xf32> from vector<4x[4]xf32>
%2 = vector.extract %arg0[2] : vector<[4]xf32> from vector<4x[4]xf32>
%3 = vector.extract %arg0[3] : vector<[4]xf32> from vector<4x[4]xf32>
%vscale = vector.vscale
%c4_vscale = arith.muli %vscale, %c4 : index
scf.for %idx = %c0 to %c4_vscale step %c1 {
%4 = vector.extract %0[%idx] : f32 from vector<[4]xf32>
%5 = vector.extract %1[%idx] : f32 from vector<[4]xf32>
%6 = vector.extract %2[%idx] : f32 from vector<[4]xf32>
%7 = vector.extract %3[%idx] : f32 from vector<[4]xf32>
%slice_i = affine.apply #map(%idx)[%i]
%slice = vector.from_elements %4, %5, %6, %7 : vector<4xf32>
vector.transfer_write %slice, %arg1[%slice_i, %j] {in_bounds = [true]}
: vector<4xf32>, memref<?x?xf32>
}
```
68 KiB
68 KiB