[mlir][tosa] Add missing verifier for tosa.pad

This PR adds a missing verifier for `tosa.pad`, ensuring that the padding shape matches [rank(input), 2].

Author: CoTinker

mlir/include/mlir/Dialect/Tosa/IR/TosaOps.td

@@ -1566,7 +1566,7 @@ def Tosa_PadOp : Tosa_InferShapedTypeOp<"pad"> {
 
   let arguments = (ins
     Tosa_RankedTensor:$input1,
-    Tosa_Int32Or64Tensor:$padding,
+    2DTensorOf<[Tosa_Int32Or64]>:$padding,
     Optional<Tosa_ScalarTensor>:$pad_const,
     OptionalAttr<Tosa_PadOpQuantizationAttr>:$quantization_info
   );

mlir/lib/Dialect/Tosa/IR/TosaOps.cpp

@@ -823,13 +823,20 @@ LogicalResult tosa::PadOp::inferReturnTypeComponents(
 LogicalResult tosa::PadOp::verify() {
   RankedTensorType inputType = getInput1().getType();
   RankedTensorType outputType = getOutput().getType();
-  TensorType paddingType = getPadding().getType();
+  RankedTensorType paddingType = getPadding().getType();
 
   if (inputType.getRank() != outputType.getRank())
     return emitOpError() << "expect same input and output tensor rank.";
 
-  if (paddingType.hasRank() && paddingType.getRank() != 2)
-    return emitOpError() << "expect 'padding' tensor rank equal to 2.";
+  if (!paddingType.isDynamicDim(0) &&
+      paddingType.getDimSize(0) != inputType.getRank())
+    return emitOpError() << "expected padding tensor dim 0 to have size "
+                         << inputType.getRank() << " (input rank) but got size "
+                         << paddingType.getDimSize(0);
+
+  if (!paddingType.isDynamicDim(1) && paddingType.getDimSize(1) != 2)
+    return emitOpError() << "expected padding tensor dim 1 to have size 2 "
+                         << "but got size " << paddingType.getDimSize(1);
 
   return success();
 }

mlir/test/Dialect/Tosa/invalid.mlir

@@ -103,7 +103,7 @@ func.func @test_pad_io_rank_mismatch(%arg0: tensor<13x21xf32>, %arg1: tensor<2x2
 // -----
 
 func.func @test_pad_invalid_padding_rank(%arg0: tensor<13x21xf32>, %arg1: tensor<2xi32>) {
-  // expected-error@+1 {{'tosa.pad' op expect 'padding' tensor rank equal to 2.}}
+  // expected-error@+1 {{'tosa.pad' op operand #1 must be 2D tensor of 32-bit signless integer or 64-bit signless integer values, but got 'tensor<2xi32>'}}
   %1 = tosa.pad %arg0, %arg1 : (tensor<13x21xf32>, tensor<2xi32>) -> tensor<13x21xf32>
   return
 }
@@ -119,6 +119,22 @@ func.func @test_pad_invalid_padConst_rank(%arg0: tensor<13x21xf32>, %arg1: tenso
 
 // -----
 
+func.func @test_pad_padding_shape_mismatch(%arg0: tensor<13x21x3xf32>, %arg1: tensor<2x2xi32>) -> tensor<13x21x3xf32> {
+  // expected-error@+1 {{'tosa.pad' op expected padding tensor dim 0 to have size 3 (input rank) but got size 2}}
+  %0 = tosa.pad %arg0, %arg1 : (tensor<13x21x3xf32>, tensor<2x2xi32>) -> tensor<13x21x3xf32>
+  return %0 : tensor<13x21x3xf32>
+}
+
+// -----
+
+func.func @test_pad_padding_shape_mismatch(%arg0: tensor<13x21x3xf32>, %arg1: tensor<3x1xi32>) -> tensor<13x21x3xf32> {
+  // expected-error@+1 {{'tosa.pad' op expected padding tensor dim 1 to have size 2 but got size 1}}
+  %0 = tosa.pad %arg0, %arg1 : (tensor<13x21x3xf32>, tensor<3x1xi32>) -> tensor<13x21x3xf32>
+  return %0 : tensor<13x21x3xf32>
+}
+
+// -----
+
 func.func @test_transpose_non_const(%arg0: tensor<13x21x3xf32>, %arg1: tensor<3xi32>) -> tensor<3x13x21xf32> {
   // expected-error@+1 {{'tosa.transpose' op perms of transpose is not constant}}
   %0 = tosa.transpose %arg0, %arg1 : (tensor<13x21x3xf32>, tensor<3xi32>) -> tensor<3x13x21xf32>