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+/* Copyright 2017 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_COMPILER_XLA_SERVICE_MAP_INLINER_H_
+#define TENSORFLOW_COMPILER_XLA_SERVICE_MAP_INLINER_H_
+
+#include "tensorflow/compiler/xla/service/hlo_module.h"
+#include "tensorflow/compiler/xla/service/hlo_pass_interface.h"
+
+namespace xla {
+
+// A pass which performs map inlining. This replaces kMap instructions with
+// their equivalent sequence of array operations. For example:
+//   map({X, Y}, add) -> add(X, Y)).
+class MapInliner : public HloModulePass {
+ public:
+  ~MapInliner() override = default;
+  absl::string_view name() const override { return "map-inline"; }
+
+  // Run map inlining on the given computation. Returns whether the computation
+  // was changed.
+  StatusOr<bool> Run(HloModule* module) override;
+};
+
+}  // namespace xla
+
+#endif  // TENSORFLOW_COMPILER_XLA_SERVICE_MAP_INLINER_H_