diff --git a/mlir/include/mlir/IR/AsmState.h b/mlir/include/mlir/IR/AsmState.h
--- a/mlir/include/mlir/IR/AsmState.h
+++ b/mlir/include/mlir/IR/AsmState.h
@@ -211,15 +211,15 @@
   /// Create a new unmanaged resource directly referencing the provided data.
   /// `dataIsMutable` indicates if the allocated data can be mutated. By
   /// default, we treat unmanaged blobs as immutable.
-  static AsmResourceBlob allocate(ArrayRef<char> data, size_t align,
-                                  bool dataIsMutable = false) {
+  static AsmResourceBlob allocateWithAlign(ArrayRef<char> data, size_t align,
+                                           bool dataIsMutable = false) {
     return AsmResourceBlob(data, align, /*deleter=*/{},
                            /*dataIsMutable=*/false);
   }
   template <typename T>
-  static std::enable_if_t<!std::is_same<T, char>::value, AsmResourceBlob>
-  allocate(ArrayRef<T> data, bool dataIsMutable = false) {
-    return allocate(
+  static AsmResourceBlob allocateInferAlign(ArrayRef<T> data,
+                                            bool dataIsMutable = false) {
+    return allocateWithAlign(
         ArrayRef<char>((const char *)data.data(), data.size() * sizeof(T)),
         alignof(T));
   }
diff --git a/mlir/unittests/IR/AttributeTest.cpp b/mlir/unittests/IR/AttributeTest.cpp
--- a/mlir/unittests/IR/AttributeTest.cpp
+++ b/mlir/unittests/IR/AttributeTest.cpp
@@ -219,8 +219,8 @@
 static void checkNativeAccess(MLIRContext *ctx, ArrayRef<T> data,
                               Type elementType) {
   auto type = RankedTensorType::get(data.size(), elementType);
-  auto attr =
-      AttrT::get(type, "resource", UnmanagedAsmResourceBlob::allocate(data));
+  auto attr = AttrT::get(type, "resource",
+                         UnmanagedAsmResourceBlob::allocateInferAlign(data));
 
   // Check that we can access and iterate the data properly.
   Optional<ArrayRef<T>> attrData = attr.tryGetAsArrayRef();
@@ -279,7 +279,7 @@
   ArrayRef<uint32_t> data;
   auto type = RankedTensorType::get(data.size(), builder.getI32Type());
   Attribute i32ResourceAttr = DenseI32ResourceElementsAttr::get(
-      type, "resource", UnmanagedAsmResourceBlob::allocate(data));
+      type, "resource", UnmanagedAsmResourceBlob::allocateInferAlign(data));
 
   EXPECT_TRUE(i32ResourceAttr.isa<DenseI32ResourceElementsAttr>());
   EXPECT_FALSE(i32ResourceAttr.isa<DenseF32ResourceElementsAttr>());
@@ -296,7 +296,8 @@
   EXPECT_DEBUG_DEATH(
       {
         DenseBoolResourceElementsAttr::get(
-            type, "resource", UnmanagedAsmResourceBlob::allocate(data));
+            type, "resource",
+            UnmanagedAsmResourceBlob::allocateInferAlign(data));
       },
       "alignment mismatch between expected alignment and blob alignment");
 }
@@ -311,7 +312,8 @@
   EXPECT_DEBUG_DEATH(
       {
         DenseBoolResourceElementsAttr::get(
-            type, "resource", UnmanagedAsmResourceBlob::allocate(data));
+            type, "resource",
+            UnmanagedAsmResourceBlob::allocateInferAlign(data));
       },
       "invalid shape element type for provided type `T`");
 }