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diff --git a/tensorflow/compiler/xla/packed_literal_reader.h b/tensorflow/compiler/xla/packed_literal_reader.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_XLA_PACKED_LITERAL_READER_H_
+#define TENSORFLOW_COMPILER_XLA_PACKED_LITERAL_READER_H_
+
+#include <memory>
+
+#include "tensorflow/compiler/xla/statusor.h"
+#include "tensorflow/compiler/xla/types.h"
+#include "tensorflow/compiler/xla/xla_data.pb.h"
+#include "tensorflow/core/platform/env.h"
+#include "tensorflow/core/platform/macros.h"
+
+namespace xla {
+
+// Reads packed data from a metadata-less file as requested by a user (who must
+// know its internal format). These are yielded as (structured) literal values.
+class PackedLiteralReader {
+ public:
+  // Ownership of file is passed to this instance -- this instance takes
+  // responsibility for closing it.
+  explicit PackedLiteralReader(tensorflow::RandomAccessFile* file);
+  ~PackedLiteralReader();
+
+  // Yields the next packed literal with shape "shape" as read from the
+  // underlying file stream.
+  //
+  // Layout is optional. If it is not provided, no layout is set on the literal
+  // that is produced.
+  StatusOr<std::unique_ptr<Literal>> Read(const Shape& shape,
+                                          const Layout* layout = nullptr);
+
+  // Returns whether the input file has been fully exhausted; i.e. all available
+  // packed literals have been read and we're at the end of the file.
+  bool IsExhausted() const;
+
+ private:
+  tensorflow::RandomAccessFile* file_;  // We own and close in our destructor
+  uint64 offset_;                       // Next file offset to read from
+
+  TF_DISALLOW_COPY_AND_ASSIGN(PackedLiteralReader);
+};
+
+}  // namespace xla
+
+#endif  // TENSORFLOW_COMPILER_XLA_PACKED_LITERAL_READER_H_