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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_LLVM_IR_MATH_OPS_H_
+#define TENSORFLOW_COMPILER_XLA_SERVICE_LLVM_IR_MATH_OPS_H_
+
+#include "llvm/IR/IRBuilder.h"
+#include "llvm/IR/Value.h"
+
+namespace xla {
+namespace llvm_ir {
+
+// Emits an approximation of tanh. The implementation uses the same rational
+// interpolant as implemented in Eigen3.
+llvm::Value* EmitFastTanh(llvm::IRBuilder<>* b, llvm::Value* input);
+
+} // namespace llvm_ir
+} // namespace xla
+
+#endif // TENSORFLOW_COMPILER_XLA_SERVICE_LLVM_IR_MATH_OPS_H_