[NFC][mlir][tensor] Use ValueRange instead of SmallVector in tensor::createPadHighOp (#144397)

Use `ValueRange` instead of `SmallVector` in `tensor::createPadHighOp`
for the `dynOutDims` arg.

Author: fabianmcg

mlir/include/mlir/Dialect/Tensor/Utils/Utils.h

@@ -30,7 +30,7 @@ namespace tensor {
 // for _static_ dimensions.
 PadOp createPadHighOp(RankedTensorType resType, Value source, Value pad,
                       bool nofold, Location loc, OpBuilder &builder,
-                      SmallVector<Value> dynOutDims = {});
+                      ValueRange dynOutDims = std::nullopt);
 
 // Creates dim ops for each dynamic dimension of the ranked tensor argument and
 // returns these as values.

mlir/lib/Dialect/Tensor/Utils/Utils.cpp

@@ -24,8 +24,7 @@ using namespace mlir::tensor;
 
 PadOp mlir::tensor::createPadHighOp(RankedTensorType resType, Value source,
                                     Value pad, bool nofold, Location loc,
-                                    OpBuilder &b,
-                                    SmallVector<Value> dynOutDims) {
+                                    OpBuilder &b, ValueRange dynOutDims) {
 
   // This assumption simplifies the following logic without limiting what's
   // required _today_. If needed, we can relax it in the future.