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diff --git a/tensorflow/compiler/xla/client/lib/prng.h b/tensorflow/compiler/xla/client/lib/prng.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_LIB_PRNG_H_
+#define TENSORFLOW_COMPILER_XLA_CLIENT_LIB_PRNG_H_
+
+#include <array>
+
+#include "tensorflow/compiler/xla/client/xla_client/xla_builder.h"
+#include "tensorflow/compiler/xla/xla_data.pb.h"
+
+namespace xla {
+
+// Returns a tensor containing 'shape' random values uniformly distributed in
+// the range [minval, maxval). Requires 2 32-bit integer seeds.
+// Currently only 'shape's of type F32 are implemented.
+XlaOp StatelessRngUniform(std::array<XlaOp, 2> seeds, const Shape& shape,
+                          XlaOp minval, XlaOp maxval);
+
+}  // namespace xla
+
+#endif  // TENSORFLOW_COMPILER_XLA_CLIENT_LIB_PRNG_H_