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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.
+==============================================================================*/
+
+// This file defines helper routines for the TLA device.
+
+#ifndef TENSORFLOW_COMPILER_TF2XLA_XLA_HELPERS_H_
+#define TENSORFLOW_COMPILER_TF2XLA_XLA_HELPERS_H_
+
+#include "tensorflow/compiler/tf2xla/xla_context.h"
+#include "tensorflow/compiler/xla/client/computation_builder.h"
+#include "tensorflow/core/framework/tensor.h"
+#include "tensorflow/core/lib/gtl/array_slice.h"
+
+namespace tensorflow {
+
+// Helper methods for building XLA computations.
+class XlaHelpers {
+ public:
+  // Returns a handle representing the minimum value of a scalar
+  // element of data_type.
+  static xla::ComputationDataHandle MinValue(xla::ComputationBuilder* b,
+                                             DataType data_type);
+
+  // Returns a handle representing the maximum value of a scalar
+  // element of data_type.
+  static xla::ComputationDataHandle MaxValue(xla::ComputationBuilder* b,
+                                             DataType data_type);
+
+  // Returns a handle representing the zero value of a scalar
+  // element of data_type.
+  static xla::ComputationDataHandle Zero(xla::ComputationBuilder* b,
+                                         DataType data_type);
+
+  // Returns a handle representing the one value of a scalar
+  // element of data_type.
+  static xla::ComputationDataHandle One(xla::ComputationBuilder* b,
+                                        DataType data_type);
+
+  // Returns a handle representing the given value of an integer scalar
+  // element of data_type.
+  // Note that unlike One and Zero, does not work on boolean types.
+  static xla::ComputationDataHandle IntegerLiteral(xla::ComputationBuilder* b,
+                                                   DataType data_type,
+                                                   int64 value);
+
+  // Returns a handle representing the given value of a floating-point scalar
+  // element of data_type.
+  static xla::ComputationDataHandle FloatLiteral(xla::ComputationBuilder* b,
+                                                 DataType data_type,
+                                                 double value);
+
+  // Reshapes literal 'input' to have 'shape'. Both the original shape and
+  // 'shape' must contain the same number of elements.
+  static Status ReshapeLiteral(const xla::Literal& input,
+                               gtl::ArraySlice<int64> shape,
+                               xla::Literal* output);
+};
+
+}  // end namespace tensorflow
+
+#endif  // TENSORFLOW_COMPILER_TF2XLA_XLA_HELPERS_H_