[mlir][vector] Always print the in_bounds attribute

This patch updates the printer for vector ops attributes so that the
`in_bounds` attribute, when present, is always printed (regardless of the
contents).

ATM, an attribute with all values equal `false`, e.g. `in_bounds =
{false, false}`, wouldn't be printed. This makes testing certain
behaviours impossible (i.e. to make sure that the attribute is correctly
preserved/transformed by patterns that modify it). See e.g. #12345

Separately, it's not clear whether the absence of the `in_bounds`
attribute in the printed IR is meant to mean that:
  * the attribute is absent,
  * the attribute is present and set to all-true,
  * the attribute is present and set to all-false.

By making sure that the attribute is always present, we are removing
this ambiguity.

Author: banach-space

mlir/lib/Dialect/Vector/IR/VectorOps.cpp

@@ -3859,9 +3859,6 @@ static void printTransferAttrs(OpAsmPrinter &p, VectorTransferOpInterface op) {
   elidedAttrs.push_back(TransferReadOp::getOperandSegmentSizeAttr());
   if (op.getPermutationMap().isMinorIdentity())
     elidedAttrs.push_back(op.getPermutationMapAttrName());
-  // Elide in_bounds attribute if all dims are out-of-bounds.
-  if (llvm::none_of(op.getInBoundsValues(), [](bool b) { return b; }))
-    elidedAttrs.push_back(op.getInBoundsAttrName());
   p.printOptionalAttrDict(op->getAttrs(), elidedAttrs);
 }
 

mlir/test/Conversion/VectorToSCF/vector-to-scf.mlir

@@ -174,7 +174,7 @@ func.func @materialize_write(%M: index, %N: index, %O: index, %P: index) {
   // CHECK:                      scf.for %[[I6:.*]] = %[[C0]] to %[[C1]] step %[[C1]] {
   // CHECK:                        %[[S0:.*]] = affine.apply #[[$ADD]](%[[I2]], %[[I6]])
   // CHECK:                        %[[VEC:.*]] = memref.load %[[VECTOR_VIEW3]][%[[I4]], %[[I5]], %[[I6]]] : memref<3x4x1xvector<5xf32>>
-  // CHECK:                        vector.transfer_write %[[VEC]], %{{.*}}[%[[S3]], %[[S1]], %[[S0]], %[[I3]]] : vector<5xf32>, memref<?x?x?x?xf32>
+  // CHECK:                        vector.transfer_write %[[VEC]], %{{.*}}[%[[S3]], %[[S1]], %[[S0]], %[[I3]]] {in_bounds = [false]} : vector<5xf32>, memref<?x?x?x?xf32>
   // CHECK:                      }
   // CHECK:                    }
   // CHECK:                  }

mlir/test/Dialect/Linalg/vectorization-with-patterns.mlir

@@ -950,7 +950,7 @@ module attributes {transform.with_named_sequence} {
 //   CHECK-NOT:   tensor.pad
 //   CHECK-DAG:   %[[C0:.*]] = arith.constant 0 : index
 //   CHECK-DAG:   %[[C5:.*]] = arith.constant 5.0
-//       CHECK:   %[[RESULT:.*]] = vector.transfer_read %[[ARG0]][%[[C0]], %[[C0]]], %[[C5]] : tensor<5x6xf32>, vector<7x9xf32>
+//       CHECK:   %[[RESULT:.*]] = vector.transfer_read %[[ARG0]][%[[C0]], %[[C0]]], %[[C5]] {in_bounds = [false, false]} : tensor<5x6xf32>, vector<7x9xf32>
 //       CHECK:   return %[[RESULT]]
 func.func @pad_and_transfer_read(%arg0: tensor<5x6xf32>) -> vector<7x9xf32> {
   %c0 = arith.constant 0 : index
@@ -984,7 +984,7 @@ func.func private @make_vector() -> vector<7x9xf32>
 //   CHECK-NOT:   tensor.pad
 //       CHECK:   %[[C0:.*]] = arith.constant 0 : index
 //       CHECK:   %[[VEC0:.*]] = call @make_vector() : () -> vector<7x9xf32>
-//       CHECK:   %[[RESULT:.*]] = vector.transfer_write %[[VEC0]], %[[ARG0]][%[[C0]], %[[C0]]] : vector<7x9xf32>, tensor<5x6xf32>
+//       CHECK:   %[[RESULT:.*]] = vector.transfer_write %[[VEC0]], %[[ARG0]][%[[C0]], %[[C0]]] {in_bounds = [false, false]} : vector<7x9xf32>, tensor<5x6xf32>
 //       CHECK:   return %[[RESULT]]
 func.func @pad_and_transfer_write_static(
     %arg0: tensor<5x6xf32>) -> tensor<5x6xf32> {
@@ -1021,7 +1021,7 @@ func.func private @make_vector() -> vector<7x9xf32>
 //       CHECK:   %[[C0:.*]] = arith.constant 0 : index
 //       CHECK:   %[[SUB:.*]] = tensor.extract_slice %[[ARG0]][0, 0] [%[[SIZE]], 6] [1, 1] : tensor<?x?xf32> to tensor<?x6xf32>
 //       CHECK:   %[[VEC0:.*]] = call @make_vector() : () -> vector<7x9xf32>
-//       CHECK:   %[[RESULT:.*]] = vector.transfer_write %[[VEC0]], %[[SUB]][%[[C0]], %[[C0]]] : vector<7x9xf32>, tensor<?x6xf32>
+//       CHECK:   %[[RESULT:.*]] = vector.transfer_write %[[VEC0]], %[[SUB]][%[[C0]], %[[C0]]] {in_bounds = [false, false]} : vector<7x9xf32>, tensor<?x6xf32>
 //       CHECK:   return %[[RESULT]]
 func.func @pad_and_transfer_write_dynamic_static(
     %arg0: tensor<?x?xf32>, %size: index, %padding: index) -> tensor<?x6xf32> {

mlir/test/Dialect/Vector/ops.mlir

@@ -78,7 +78,7 @@ func.func @vector_transfer_ops(%arg0: memref<?x?xf32>,
   vector.transfer_write %1, %arg0[%c3, %c3] {permutation_map = affine_map<(d0, d1)->(d1, d0)>} : vector<3x7xf32>, memref<?x?xf32>
   // CHECK: vector.transfer_write %{{.*}}, %{{.*}}[%[[C3]], %[[C3]]] : vector<1x1x4x3xf32>, memref<?x?xvector<4x3xf32>>
   vector.transfer_write %4, %arg1[%c3, %c3] {permutation_map = affine_map<(d0, d1)->(d0, d1)>} : vector<1x1x4x3xf32>, memref<?x?xvector<4x3xf32>>
-  // CHECK: vector.transfer_write %{{.*}}, %{{.*}}[%[[C3]], %[[C3]]] : vector<1x1x4x3xf32>, memref<?x?xvector<4x3xf32>>
+  // CHECK: vector.transfer_write %{{.*}}, %{{.*}}[%[[C3]], %[[C3]]] {in_bounds = [false, false]} : vector<1x1x4x3xf32>, memref<?x?xvector<4x3xf32>>
   vector.transfer_write %5, %arg1[%c3, %c3] {in_bounds = [false, false]} : vector<1x1x4x3xf32>, memref<?x?xvector<4x3xf32>>
   // CHECK: vector.transfer_write %{{.*}}, %{{.*}}[%[[C3]], %[[C3]]] : vector<5x24xi8>, memref<?x?xvector<4x3xi32>>
   vector.transfer_write %6, %arg2[%c3, %c3] : vector<5x24xi8>, memref<?x?xvector<4x3xi32>>
@@ -135,7 +135,7 @@ func.func @vector_transfer_ops_tensor(%arg0: tensor<?x?xf32>,
   %9 = vector.transfer_write %1, %arg0[%c3, %c3] {permutation_map = affine_map<(d0, d1)->(d1, d0)>} : vector<3x7xf32>, tensor<?x?xf32>
   // CHECK: vector.transfer_write %{{.*}}, %{{.*}}[%[[C3]], %[[C3]]] : vector<1x1x4x3xf32>, tensor<?x?xvector<4x3xf32>>
   %10 = vector.transfer_write %4, %arg1[%c3, %c3] {permutation_map = affine_map<(d0, d1)->(d0, d1)>} : vector<1x1x4x3xf32>, tensor<?x?xvector<4x3xf32>>
-  // CHECK: vector.transfer_write %{{.*}}, %{{.*}}[%[[C3]], %[[C3]]] : vector<1x1x4x3xf32>, tensor<?x?xvector<4x3xf32>>
+  // CHECK: vector.transfer_write %{{.*}}, %{{.*}}[%[[C3]], %[[C3]]] {in_bounds = [false, false]} : vector<1x1x4x3xf32>, tensor<?x?xvector<4x3xf32>>
   %11 = vector.transfer_write %5, %arg1[%c3, %c3] {in_bounds = [false, false]} : vector<1x1x4x3xf32>, tensor<?x?xvector<4x3xf32>>
   // CHECK: vector.transfer_write %{{.*}}, %{{.*}}[%[[C3]], %[[C3]]] : vector<5x24xi8>, tensor<?x?xvector<4x3xi32>>
   %12 = vector.transfer_write %6, %arg2[%c3, %c3] : vector<5x24xi8>, tensor<?x?xvector<4x3xi32>>