[Mlir-commits] [mlir] [mlir][VectorOps] Extend vector.constant_mask to support 'all true' scalable dims (PR #66638)

[Benjamin Maxwell]

================
@@ -1819,16 +1819,55 @@ func.func @genbool_1d() -> vector<8xi1> {
 
 // -----
 
-func.func @genbool_1d_scalable() -> vector<[8]xi1> {
+func.func @genbool_1d_scalable_pfalse() -> vector<[8]xi1> {
   %0 = vector.constant_mask [0] : vector<[8]xi1>
   return %0 : vector<[8]xi1>
 }
-// CHECK-LABEL: func @genbool_1d_scalable
+// CHECK-LABEL: func @genbool_1d_scalable_pfalse
 // CHECK: %[[VAL_0:.*]] = arith.constant dense<false> : vector<[8]xi1>
 // CHECK: return %[[VAL_0]] : vector<[8]xi1>
 
 // -----
 
+func.func @genbool_1d_scalable_ptrue() -> vector<[8]xi1> {
+  %0 = vector.constant_mask [8] : vector<[8]xi1>
+  return %0 : vector<[8]xi1>
+}
+// CHECK-LABEL: func @genbool_1d_scalable_ptrue
+// CHECK: %[[VAL_0:.*]] = arith.constant dense<true> : vector<[8]xi1>
+// CHECK: return %[[VAL_0]] : vector<[8]xi1>
+
+// -----
+
+func.func @genbool_2d_scalable() -> vector<4x[4]xi1> {
+  %0 = vector.constant_mask [2, 4] : vector<4x[4]xi1>
+  return %0 : vector<4x[4]xi1>
+}
+// CHECK-LABEL:   func.func @genbool_2d_scalable() -> vector<4x[4]xi1> {
+// CHECK:           %[[VAL_0:.*]] = arith.constant dense<true> : vector<[4]xi1>
+// CHECK:           %[[VAL_1:.*]] = arith.constant dense<false> : vector<4x[4]xi1>
+// CHECK:           %[[VAL_2:.*]] = builtin.unrealized_conversion_cast %[[VAL_1]] : vector<4x[4]xi1> to !llvm.array<4 x vector<[4]xi1>>
+// CHECK:           %[[VAL_3:.*]] = llvm.insertvalue %[[VAL_0]], %[[VAL_2]][0] : !llvm.array<4 x vector<[4]xi1>>
+// CHECK:           %[[VAL_4:.*]] = llvm.insertvalue %[[VAL_0]], %[[VAL_3]][1] : !llvm.array<4 x vector<[4]xi1>>
+// CHECK:           %[[VAL_5:.*]] = builtin.unrealized_conversion_cast %[[VAL_4]] : !llvm.array<4 x vector<[4]xi1>> to vector<4x[4]xi1>
+// CHECK:           return %[[VAL_5]] : vector<4x[4]xi1>
+// CHECK:         }
----------------
MacDue wrote:

I take this to mean the `CHECK: }` , was a little confused by this comment. 

https://github.com/llvm/llvm-project/pull/66638