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diff --git a/tensorflow/compiler/jit/xla_device_launch_op.h b/tensorflow/compiler/jit/xla_device_launch_op.h
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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_JIT_XLA_DEVICE_LAUNCH_OP_H_
+#define TENSORFLOW_COMPILER_JIT_XLA_DEVICE_LAUNCH_OP_H_
+
+#include "tensorflow/core/framework/allocator.h"
+#include "tensorflow/core/framework/op.h"
+#include "tensorflow/core/framework/op_kernel.h"
+#include "tensorflow/core/framework/tensor.h"
+#include "tensorflow/core/platform/macros.h"
+
+namespace tensorflow {
+
+// The XlaDeviceLaunchOp is used to replace a region of the TensorFlow graph
+// which will be compiled and executed using XLA.  The XlaDeviceLaunchOp is
+// responsible for handling interactions with the TensorFlow executor.
+// Once all inputs are present, and their shapes are known, the op can
+// use a 'TlaJit' to compile and execute code which is specific
+// to the shapes of input Tensors.
+class XlaDeviceLaunchOp : public OpKernel {
+ public:
+  explicit XlaDeviceLaunchOp(OpKernelConstruction* ctx);
+  ~XlaDeviceLaunchOp() override;
+
+  void Compute(OpKernelContext* ctx) override;
+
+ private:
+  NameAttrList function_;
+  int num_constant_args_;
+  Tensor dummy_tensor_;
+
+  TF_DISALLOW_COPY_AND_ASSIGN(XlaDeviceLaunchOp);
+};
+
+}  // namespace tensorflow
+
+#endif  // TENSORFLOW_COMPILER_JIT_XLA_DEVICE_LAUNCH_OP_H_