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diff --git a/tensorflow/compiler/xla/client/xla_computation.h b/tensorflow/compiler/xla/client/xla_computation.h
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+/* Copyright 2018 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_CLIENT_XLA_COMPUTATION_H_
+#define TENSORFLOW_COMPILER_XLA_CLIENT_XLA_COMPUTATION_H_
+
+#include <utility>
+
+#include "tensorflow/compiler/xla/service/hlo.pb.h"
+#include "tensorflow/compiler/xla/status_macros.h"
+#include "tensorflow/compiler/xla/xla_data.pb.h"
+
+namespace xla {
+
+// The computation graph that the user builds up with the XlaBuilder.
+class XlaComputation {
+ public:
+  XlaComputation() : unique_id_(-1) {}
+  XlaComputation(const HloModuleProto& proto)
+      : unique_id_(proto.id()), proto_(proto) {}
+
+  ~XlaComputation() {}
+
+  XlaComputation(const XlaComputation&) = delete;
+  XlaComputation& operator=(const XlaComputation&) = delete;
+
+  XlaComputation(XlaComputation&& from) = default;
+
+  XlaComputation& operator=(XlaComputation&& from) = default;
+
+  // Returns the "program shape" (parameter and return shapes) for this
+  // computation.
+  StatusOr<ProgramShape> GetProgramShape() const;
+
+  const HloModuleProto& proto() const { return proto_; }
+
+  // Requests that we snapshot the computation into a serializable protocol
+  // buffer form.
+  StatusOr<std::unique_ptr<HloSnapshot>> Snapshot() const;
+
+  // Returns true if this object is a null Computation.
+  bool IsNull() const { return unique_id_ == -1; }
+
+ private:
+  XlaComputation(const int64 unique_id) : unique_id_(unique_id) {}
+  HloModuleProto* mutable_proto() { return &proto_; }
+  friend class XlaBuilder;
+
+  int64 unique_id_;
+  HloModuleProto proto_;
+};
+
+}  // namespace xla
+
+#endif  // TENSORFLOW_COMPILER_XLA_CLIENT_XLA_COMPUTATION_H_