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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_NUMERIC_H_
+#define TENSORFLOW_COMPILER_XLA_CLIENT_LIB_NUMERIC_H_
+
+#include "tensorflow/compiler/xla/client/xla_client/xla_builder.h"
+#include "tensorflow/compiler/xla/types.h"
+#include "tensorflow/compiler/xla/xla_data.pb.h"
+
+namespace xla {
+
+// Returns a rank 1 tensor of `type` containing values [0, 1, 2, ...].
+XlaOp Iota(XlaBuilder* builder, PrimitiveType type, int64 size);
+
+// Returns an m x n matrix with 1s on the diagonal elements, zeros everywhere
+// else.
+XlaOp IdentityMatrix(XlaBuilder* builder, PrimitiveType type, int64 m, int64 n);
+
+// Get the diagonals of the last two dimensions. If 'x' has shape
+// [..., M, N], then the output has shape [..., min(M, N)], containing the
+// diagonal elements (i.e., with indices [..., i, i]).
+XlaOp GetMatrixDiagonal(XlaOp x);
+
+// Get the upper or lower triangle part of the last two dimensions
+XlaOp Triangle(XlaOp x, bool lower);
+
+// Get the upper triangle part of the last two dimensions
+XlaOp UpperTriangle(XlaOp x);
+
+// Get the lower triangle part of the last two dimensions
+XlaOp LowerTriangle(XlaOp x);
+
+}  // namespace xla
+
+#endif  // TENSORFLOW_COMPILER_XLA_CLIENT_LIB_NUMERIC_H_