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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_INLINER_H_
+#define TENSORFLOW_COMPILER_XLA_SERVICE_INLINER_H_
+
+#include "tensorflow/compiler/xla/service/hlo_module.h"
+#include "tensorflow/compiler/xla/service/hlo_pass.h"
+
+namespace xla {
+
+// A pass which performs inlining. Which can result, for example, in functions
+// that were previously being mapped by Map instead directly applied to the
+// forwarded operands (i.e., map({X, Y}, max) -> max(X, Y)).
+class Inliner : public HloPass {
+ public:
+  Inliner() : HloPass("inline") {}
+  ~Inliner() override = default;
+
+  // Run inlining on the given computation. Returns whether the computation was
+  // changed.
+  StatusOr<bool> Run(HloModule* module) override;
+};
+
+}  // namespace xla
+
+#endif  // TENSORFLOW_COMPILER_XLA_SERVICE_INLINER_H_