[Mlir-commits] [mlir] [MLIR][Vector] Implement TransferOpReduceRank as MaskableOpRewritePattern (PR #92426)

[Andrzej Warzyński]

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@@ -187,3 +187,49 @@ module attributes {transform.with_named_sequence} {
     transform.yield
   }
 }
+
+// -----
+
+
+//       CHECK:   #[[MAP:.*]] = affine_map<(d0, d1, d2, d3) -> (d1, 0, d3)>
+//       CHECK:   func.func @transfer_read_reduce_rank_scalable(
+//  CHECK-SAME:       %[[ARG_0:.*]]: memref<?x?x?x?xf32>) -> vector<8x[4]x2x3xf32> {
+//       CHECK:     %[[C0:.*]] = arith.constant 0 : index
+//       CHECK:     %[[TFR:.*]] = vector.transfer_read %arg0[%[[C0]], %[[C0]], %[[C0]], %[[C0]]]{{.*}} permutation_map = #[[MAP]]} : memref<?x?x?x?xf32>, vector<[4]x2x3xf32>
+//       CHECK:     %[[BC:.*]] = vector.broadcast %[[TFR]] : vector<[4]x2x3xf32> to vector<8x[4]x2x3xf32>
+//       CHECK:     return %[[BC]] : vector<8x[4]x2x3xf32>
+func.func @transfer_read_reduce_rank_scalable(%mem: memref<?x?x?x?xf32>) -> vector<8x[4]x2x3xf32> {
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banach-space wrote:

How is this test different to `@permutation_with_mask_xfer_read_scalable`? Both seem to check for `vector.transfer_read` from `memref` into a scalable vector?

https://github.com/llvm/llvm-project/pull/92426