diff --git a/tensorflow/core/profiler/convert/BUILD b/tensorflow/core/profiler/convert/BUILD
index a423eab34b7..51af083ca5b 100644
--- a/tensorflow/core/profiler/convert/BUILD
+++ b/tensorflow/core/profiler/convert/BUILD
@@ -14,3 +14,19 @@ cc_library(
         "@com_google_absl//absl/algorithm:container",
     ],
 )
+
+cc_library(
+    name = "op_stats_to_tf_stats",
+    srcs = ["op_stats_to_tf_stats.cc"],
+    hdrs = ["op_stats_to_tf_stats.h"],
+    deps = [
+        "//tensorflow/core/profiler/convert:op_metrics_to_record",
+        "//tensorflow/core/profiler/protobuf:op_metrics_proto_cc",
+        "//tensorflow/core/profiler/protobuf:op_stats_proto_cc",
+        "//tensorflow/core/profiler/protobuf:tf_stats_proto_cc",
+        "//tensorflow/core/profiler/utils:op_metrics_db_utils",
+        "//tensorflow/core/profiler/utils:tf_op_utils",
+        "//tensorflow/core/profiler/utils:time_utils",
+        "@com_google_absl//absl/container:flat_hash_set",
+    ],
+)
diff --git a/tensorflow/core/profiler/convert/op_stats_to_tf_stats.cc b/tensorflow/core/profiler/convert/op_stats_to_tf_stats.cc
new file mode 100644
index 00000000000..08e73b2fea4
--- /dev/null
+++ b/tensorflow/core/profiler/convert/op_stats_to_tf_stats.cc
@@ -0,0 +1,104 @@
+/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+#include "tensorflow/core/profiler/convert/op_stats_to_tf_stats.h"
+
+#include "absl/container/flat_hash_set.h"
+#include "tensorflow/core/profiler/convert/op_metrics_to_record.h"
+#include "tensorflow/core/profiler/protobuf/op_metrics.pb.h"
+#include "tensorflow/core/profiler/protobuf/op_stats.pb.h"
+#include "tensorflow/core/profiler/protobuf/tf_stats.pb.h"
+#include "tensorflow/core/profiler/utils/op_metrics_db_utils.h"
+#include "tensorflow/core/profiler/utils/tf_op_utils.h"
+#include "tensorflow/core/profiler/utils/time_utils.h"
+
+namespace tensorflow {
+namespace profiler {
+namespace {
+
+TfStatsRecord ConvertOpMetricsToTfStatsRecord(
+    bool on_device, const OpMetrics& metrics,
+    double ridge_point_operational_intensity) {
+  TfStatsRecord record;
+  record.set_host_or_device(on_device ? "Device" : "Host");
+  record.set_op_type(metrics.category());
+  record.set_op_name(metrics.name());
+  SetExecutionTimes(metrics, &record);
+  SetRooflineMetrics(metrics, ridge_point_operational_intensity, &record);
+  return record;
+}
+
+TfStatsTable GenerateTfStatsTable(const OpMetricsDb& host_tf_metrics_db,
+                                  const OpMetricsDb& device_tf_metrics_db,
+                                  double ridge_point, bool exclude_idle) {
+  TfStatsTable tf_stats_table;
+  TfStatsRecord sentinel;
+  sentinel.set_rank(0);
+  sentinel.set_device_cumulative_total_self_time_as_fraction(0.0);
+  sentinel.set_host_cumulative_total_self_time_as_fraction(0.0);
+  const TfStatsRecord* prev_record = &sentinel;
+
+  // Sets device-side TF stats.
+  uint64 total_device_time_ps = device_tf_metrics_db.total_time_ps();
+  if (exclude_idle) {
+    total_device_time_ps -= IdleTimePs(device_tf_metrics_db);
+  }
+  double total_device_time_us = PicosToMicros(total_device_time_ps);
+  for (const OpMetrics* metrics : SortedOpMetricsDb(device_tf_metrics_db)) {
+    if (exclude_idle && metrics->category() == "IDLE") continue;
+    TfStatsRecord* record = tf_stats_table.add_tf_stats_record();
+    *record = ConvertOpMetricsToTfStatsRecord(
+        /*on_device=*/true, *metrics, ridge_point);
+    SetRankAndDeviceTimeFractions(total_device_time_us, *prev_record, record);
+    prev_record = record;
+  }
+
+  // Sets host-side TF stats.
+  uint64 total_host_time_ps = host_tf_metrics_db.total_time_ps();
+  if (exclude_idle) {
+    total_host_time_ps -= IdleTimePs(host_tf_metrics_db);
+  }
+  double total_host_time_us = PicosToMicros(total_host_time_ps);
+  for (const OpMetrics* metrics :
+       tensorflow::profiler::SortedOpMetricsDb(host_tf_metrics_db)) {
+    if (exclude_idle && metrics->category() == "IDLE") continue;
+    TfStatsRecord* record = tf_stats_table.add_tf_stats_record();
+    *record = ConvertOpMetricsToTfStatsRecord(
+        /*on_device=*/false, *metrics, ridge_point);
+    SetRankAndHostTimeFractions(total_host_time_us, *prev_record, record);
+    prev_record = record;
+  }
+  return tf_stats_table;
+}
+
+}  // namespace
+
+TfStatsDatabase ConvertOpStatsToTfStats(const OpStats& op_stats) {
+  const OpMetricsDb& host_tf_metrics_db = op_stats.host_op_metrics_db();
+  OpMetricsDb device_tf_metrics_db =
+      CreateTfMetricsDbFromHloMetricsDb(op_stats.device_op_metrics_db());
+  double ridge_point = op_stats.perf_env().ridge_point();
+  TfStatsDatabase tf_stats_db;
+  *tf_stats_db.mutable_with_idle() =
+      GenerateTfStatsTable(host_tf_metrics_db, device_tf_metrics_db,
+                           ridge_point, /*exclude_idle=*/false);
+  *tf_stats_db.mutable_without_idle() =
+      GenerateTfStatsTable(host_tf_metrics_db, device_tf_metrics_db,
+                           ridge_point, /*exclude_idle=*/true);
+  return tf_stats_db;
+}
+
+}  // namespace profiler
+}  // namespace tensorflow
diff --git a/tensorflow/core/profiler/convert/op_stats_to_tf_stats.h b/tensorflow/core/profiler/convert/op_stats_to_tf_stats.h
new file mode 100644
index 00000000000..3b8a06ef1c6
--- /dev/null
+++ b/tensorflow/core/profiler/convert/op_stats_to_tf_stats.h
@@ -0,0 +1,30 @@
+/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+#ifndef TENSORFLOW_CORE_PROFILER_CONVERT_OP_STATS_TO_TF_STATS_H_
+#define TENSORFLOW_CORE_PROFILER_CONVERT_OP_STATS_TO_TF_STATS_H_
+
+#include "tensorflow/core/profiler/protobuf/op_stats.pb.h"
+#include "tensorflow/core/profiler/protobuf/tf_stats.pb.h"
+
+namespace tensorflow {
+namespace profiler {
+
+TfStatsDatabase ConvertOpStatsToTfStats(const OpStats& op_stats);
+
+}  // namespace profiler
+}  // namespace tensorflow
+
+#endif  // TENSORFLOW_CORE_PROFILER_CONVERT_OP_STATS_TO_TF_STATS_H_