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diff --git a/tensorflow/compiler/xla/service/gpu/outfeed_thunk.h b/tensorflow/compiler/xla/service/gpu/outfeed_thunk.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_SERVICE_GPU_OUTFEED_THUNK_H_
+#define TENSORFLOW_COMPILER_XLA_SERVICE_GPU_OUTFEED_THUNK_H_
+
+#include "tensorflow/compiler/xla/service/gpu/buffer_allocations.h"
+#include "tensorflow/compiler/xla/service/gpu/hlo_execution_profiler.h"
+#include "tensorflow/compiler/xla/service/gpu/thunk.h"
+#include "tensorflow/compiler/xla/service/hlo_instruction.h"
+#include "tensorflow/core/platform/stream_executor_no_cuda.h"
+
+namespace xla {
+namespace gpu {
+
+// A thunk that outfeeds data. Data must be already resident on the host. This
+// thunk performs a host to device copy from the buffer allocated for the
+// outfeed op to the host location.
+class OutfeedThunk : public Thunk {
+ public:
+  // Constructs a OutfeedThunk that copies data to the host-side
+  // outfeed queue from the buffers in the given shape tree.
+  OutfeedThunk(ShapeTree<BufferAllocation::Slice> outfeed_slices,
+               const HloInstruction* hlo_instruction);
+
+  OutfeedThunk(const OutfeedThunk&) = delete;
+  OutfeedThunk& operator=(const OutfeedThunk&) = delete;
+
+  Status ExecuteOnStream(const BufferAllocations& buffer_allocations,
+                         se::Stream* stream,
+                         HloExecutionProfiler* profiler) override;
+
+ private:
+  const ShapeTree<BufferAllocation::Slice> outfeed_slices_;
+};
+
+}  // namespace gpu
+}  // namespace xla
+
+#endif  // TENSORFLOW_COMPILER_XLA_SERVICE_GPU_OUTFEED_THUNK_H_