diff --git a/tensorflow/core/common_runtime/eager/kernel_and_device.cc b/tensorflow/core/common_runtime/eager/kernel_and_device.cc
index eb7b1b7eb23..3492ddf7781 100644
--- a/tensorflow/core/common_runtime/eager/kernel_and_device.cc
+++ b/tensorflow/core/common_runtime/eager/kernel_and_device.cc
@@ -319,14 +319,14 @@ Status KernelAndDeviceOp::Run(ScopedStepContainer* step_container,
       // 'ScopedActivity' will trace the OpKernel scheduling time on host.
       profiler::TraceMe activity(
           [&] {
-            return strings::StrCat(
-                op_name, ":", kernel_->type_string(),
-                "#id=", step_container ? step_container->step_id() : 0,
-                ",device=", device_->name(), ",async=false#");
+            return absl::StrCat(op_name, ":", kernel_->type_string(), "#id=",
+                                step_container ? step_container->step_id() : 0,
+                                ",device=", device_->name(), ",async=false#");
           },
           profiler::TraceMeLevel::kInfo);
       // 'ScopedAnnotation' will trace the OpKernel execution time on device.
-      tracing::ScopedAnnotation annotation(op_name, kernel_->type_string());
+      tracing::ScopedAnnotation annotation(
+          [&]() { return absl::StrCat(op_name, ":", kernel_->type_string()); });
       device_->Compute(kernel_.get(), &context);
     } else {
       profiler::TraceMe activity(
diff --git a/tensorflow/core/platform/annotation.h b/tensorflow/core/platform/annotation.h
index 660767eec25..3648a7e9ee2 100644
--- a/tensorflow/core/platform/annotation.h
+++ b/tensorflow/core/platform/annotation.h
@@ -114,12 +114,6 @@ class ScopedAnnotation {
     }
   }
 
-  // Deprecated: use the lambda version if you want to concatenate strings as
-  // annotation on the fly.
-  ScopedAnnotation(absl::string_view name_part1, absl::string_view name_part2)
-      : ScopedAnnotation(
-            [&]() { return StrCat(name_part1, ":", name_part2); }) {}
-
   // Pops the name passed in the constructor from the current annotation.
   ~ScopedAnnotation() {
     // TODO(b/137971921): without this memory fence, two presubmit tests will
diff --git a/tensorflow/core/profiler/internal/scoped_annotation_test.cc b/tensorflow/core/profiler/internal/scoped_annotation_test.cc
index 53164f72fdb..56a5e974107 100644
--- a/tensorflow/core/profiler/internal/scoped_annotation_test.cc
+++ b/tensorflow/core/profiler/internal/scoped_annotation_test.cc
@@ -75,20 +75,6 @@ void BM_ScopedAnnotationEnabled(int iters, int annotation_size) {
 
 BENCHMARK(BM_ScopedAnnotationEnabled)->Arg(8)->Arg(32)->Arg(128);
 
-void BM_ScopedAnnotationEnabled_TwoParts(int iters, int annotation_size) {
-  testing::StopTiming();
-  std::string annotation = GenerateRandomString(annotation_size);
-  tracing::ScopedAnnotation::Enable(true);
-  testing::StartTiming();
-  for (int i = 0; i < iters; i++) {
-    tracing::ScopedAnnotation trace(annotation, annotation);
-  }
-  testing::StopTiming();
-  tracing::ScopedAnnotation::Enable(false);
-}
-
-BENCHMARK(BM_ScopedAnnotationEnabled_TwoParts)->Arg(8)->Arg(32)->Arg(128);
-
 void BM_ScopedAnnotationEnabled_Nested(int iters, int annotation_size) {
   testing::StopTiming();
   std::string annotation = GenerateRandomString(annotation_size);
@@ -138,20 +124,5 @@ void BM_ScopedAnnotationEnabled_Adhoc_Lambda(int iters, int annotation_size) {
 
 BENCHMARK(BM_ScopedAnnotationEnabled_Adhoc_Lambda)->Arg(8)->Arg(32)->Arg(128);
 
-void BM_ScopedAnnotationEnabled_TwoPartsLambda(int iters, int annotation_size) {
-  testing::StopTiming();
-  std::string annotation = GenerateRandomString(annotation_size);
-  tracing::ScopedAnnotation::Enable(true);
-  testing::StartTiming();
-  for (int i = 0; i < iters; i++) {
-    tracing::ScopedAnnotation trace(
-        [&]() { return absl::StrCat(annotation, ":", annotation); });
-  }
-  testing::StopTiming();
-  tracing::ScopedAnnotation::Enable(false);
-}
-
-BENCHMARK(BM_ScopedAnnotationEnabled_TwoPartsLambda)->Arg(8)->Arg(32)->Arg(128);
-
 }  // namespace
 }  // namespace tensorflow