diff --git a/mlir/include/mlir/Dialect/StandardOps/Transforms/Passes.h b/mlir/include/mlir/Dialect/StandardOps/Transforms/Passes.h
--- a/mlir/include/mlir/Dialect/StandardOps/Transforms/Passes.h
+++ b/mlir/include/mlir/Dialect/StandardOps/Transforms/Passes.h
@@ -20,10 +20,18 @@
 namespace mlir {
 
 class Pass;
+class MLIRContext;
+class OwningRewritePatternList;
 
 /// Creates an instance of the ExpandAtomic pass.
 std::unique_ptr<Pass> createExpandAtomicPass();
 
+/// Creates an instance of the ExpandTanh pass.
+std::unique_ptr<Pass> createExpandTanhPass();
+
+void populateExpandTanhPattern(OwningRewritePatternList &patterns,
+                               MLIRContext *ctx);
+
 } // end namespace mlir
 
 #endif // MLIR_DIALECT_STANDARD_TRANSFORMS_PASSES_H_
diff --git a/mlir/include/mlir/Dialect/StandardOps/Transforms/Passes.td b/mlir/include/mlir/Dialect/StandardOps/Transforms/Passes.td
--- a/mlir/include/mlir/Dialect/StandardOps/Transforms/Passes.td
+++ b/mlir/include/mlir/Dialect/StandardOps/Transforms/Passes.td
@@ -16,4 +16,9 @@
   let constructor = "mlir::createExpandAtomicPass()";
 }
 
+def ExpandTanh : FunctionPass<"expand-tanh"> {
+  let summary = "Expands TanhOp into ExpOp form.";
+  let constructor = "mlir::createExpandTanhPass()";
+}
+
 #endif // MLIR_DIALECT_STANDARD_TRANSFORMS_PASSES
diff --git a/mlir/lib/Conversion/LinalgToLLVM/LinalgToLLVM.cpp b/mlir/lib/Conversion/LinalgToLLVM/LinalgToLLVM.cpp
--- a/mlir/lib/Conversion/LinalgToLLVM/LinalgToLLVM.cpp
+++ b/mlir/lib/Conversion/LinalgToLLVM/LinalgToLLVM.cpp
@@ -20,6 +20,7 @@
 #include "mlir/Dialect/Linalg/IR/LinalgTypes.h"
 #include "mlir/Dialect/Linalg/Passes.h"
 #include "mlir/Dialect/StandardOps/EDSC/Intrinsics.h"
+#include "mlir/Dialect/StandardOps/Transforms/Passes.h"
 #include "mlir/IR/AffineExpr.h"
 #include "mlir/IR/AffineMap.h"
 #include "mlir/IR/Attributes.h"
@@ -377,6 +378,7 @@
   populateAffineToStdConversionPatterns(patterns, &getContext());
   populateLoopToStdConversionPatterns(patterns, &getContext());
   populateStdToLLVMConversionPatterns(converter, patterns);
+  populateExpandTanhPattern(patterns, &getContext());
   populateVectorToSCFConversionPatterns(patterns, &getContext());
   populateVectorToLLVMMatrixConversionPatterns(converter, patterns);
   populateVectorToLLVMConversionPatterns(converter, patterns);
diff --git a/mlir/lib/Dialect/StandardOps/Transforms/CMakeLists.txt b/mlir/lib/Dialect/StandardOps/Transforms/CMakeLists.txt
--- a/mlir/lib/Dialect/StandardOps/Transforms/CMakeLists.txt
+++ b/mlir/lib/Dialect/StandardOps/Transforms/CMakeLists.txt
@@ -1,5 +1,6 @@
 add_mlir_dialect_library(MLIRStandardOpsTransforms
   ExpandAtomic.cpp
+  ExpandTanh.cpp
   FuncConversions.cpp
 
   ADDITIONAL_HEADER_DIRS
diff --git a/mlir/lib/Dialect/StandardOps/Transforms/ExpandTanh.cpp b/mlir/lib/Dialect/StandardOps/Transforms/ExpandTanh.cpp
new file mode 100644
--- /dev/null
+++ b/mlir/lib/Dialect/StandardOps/Transforms/ExpandTanh.cpp
@@ -0,0 +1,89 @@
+//===- ExpandTanh.cpp - Code to perform loop fusion -----------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// This file implements expansion of tanh op.
+//
+//===----------------------------------------------------------------------===//
+
+#include "PassDetail.h"
+#include "mlir/Dialect/StandardOps/IR/Ops.h"
+#include "mlir/Dialect/StandardOps/Transforms/Passes.h"
+#include "mlir/IR/Builders.h"
+#include "mlir/IR/PatternMatch.h"
+#include "mlir/IR/TypeUtilities.h"
+#include "mlir/Pass/Pass.h"
+#include "mlir/Transforms/DialectConversion.h"
+
+using namespace mlir;
+
+namespace {
+
+/// Expands tanh op into
+///   1) 1-exp^{-2x} / 1+exp^{-2x}, if x => 0
+///   2) exp^{2x}-1 / exp^{2x}+1  , if x < 0
+struct TanhOpConverter : public OpRewritePattern<TanhOp> {
+public:
+  using OpRewritePattern::OpRewritePattern;
+
+  LogicalResult matchAndRewrite(TanhOp op,
+                                PatternRewriter &rewriter) const final {
+    // auto operandType = op.operand().getType();
+    // auto floatType = getElementTypeOrSelf(operandType).cast<FloatType>();
+    auto floatType = op.operand().getType();
+    Location loc = op.getLoc();
+    auto floatOne = rewriter.getFloatAttr(floatType, 1.0);
+    auto floatTwo = rewriter.getFloatAttr(floatType, 2.0);
+    Value one = rewriter.create<ConstantOp>(loc, floatOne);
+    Value two = rewriter.create<ConstantOp>(loc, floatTwo);
+    Value xx = rewriter.create<MulFOp>(loc, op.operand(), two);
+
+    // Case 1: tanh(x) = 1-exp^{-2x} / 1+exp^{-2x}
+    Value negXX = rewriter.create<NegFOp>(loc, xx);
+    Value exp2x = rewriter.create<ExpOp>(loc, negXX);
+    Value dividend = rewriter.create<SubFOp>(loc, one, exp2x);
+    Value divisor = rewriter.create<AddFOp>(loc, one, exp2x);
+    Value positiveRes = rewriter.create<DivFOp>(loc, dividend, divisor);
+
+    // Case 2: tanh(x) = exp^{2x}-1 / exp^{2x}+1
+    exp2x = rewriter.create<ExpOp>(loc, xx);
+    dividend = rewriter.create<SubFOp>(loc, exp2x, one);
+    divisor = rewriter.create<AddFOp>(loc, exp2x, one);
+    Value negativeRes = rewriter.create<DivFOp>(loc, dividend, divisor);
+
+    // tanh(x) = x >= 0 ? positiveRes : negativeRes
+    auto floatZero = rewriter.getFloatAttr(floatType, 0.0);
+    Value zero = rewriter.create<ConstantOp>(loc, floatZero);
+    Value cmpRes =
+        rewriter.create<CmpFOp>(loc, CmpFPredicate::OGE, op.operand(), zero);
+    rewriter.replaceOpWithNewOp<SelectOp>(op, cmpRes, positiveRes, negativeRes);
+    return success();
+  }
+};
+
+struct ExpandTanh : public ExpandTanhBase<ExpandTanh> {
+  void runOnFunction() override {
+    OwningRewritePatternList patterns;
+    patterns.insert<TanhOpConverter>(&getContext());
+    ConversionTarget target(getContext());
+    target.addLegalDialect<StandardOpsDialect>();
+    target.addIllegalOp<TanhOp>();
+    if (failed(mlir::applyPartialConversion(getFunction(), target, patterns)))
+      signalPassFailure();
+  }
+};
+
+} // namespace
+
+std::unique_ptr<Pass> mlir::createExpandTanhPass() {
+  return std::make_unique<ExpandTanh>();
+}
+
+void mlir::populateExpandTanhPattern(OwningRewritePatternList &patterns,
+                                     MLIRContext *ctx) {
+  patterns.insert<TanhOpConverter>(ctx);
+}
diff --git a/mlir/test/Dialect/Standard/expand-tanh.mlir b/mlir/test/Dialect/Standard/expand-tanh.mlir
new file mode 100644
--- /dev/null
+++ b/mlir/test/Dialect/Standard/expand-tanh.mlir
@@ -0,0 +1,23 @@
+// RUN: mlir-opt %s -expand-tanh | FileCheck %s
+
+// CHECK-LABEL: func @tanh
+func @tanh(%arg: f32) -> f32 {
+  %res = tanh %arg : f32
+  return %res : f32
+}
+// CHECK: %[[ONE:.+]] = constant 1.000000e+00 : f32
+// CHECK: %[[TWO:.+]] = constant 2.000000e+00 : f32
+// CHECK: %[[XX:.+]] = mulf %arg0, %[[TWO]] : f32
+// CHECK: %[[NEGXX:.+]] = negf %[[XX]] : f32
+// CHECK: %[[EXP1:.+]] = exp %[[NEGXX]] : f32
+// CHECK: %[[DIVIDEND1:.+]] = subf %[[ONE]], %[[EXP1]] : f32
+// CHECK: %[[DIVISOR1:.+]] = addf %[[ONE]], %[[EXP1]] : f32
+// CHECK: %[[RES1:.+]] = divf %[[DIVIDEND1]], %[[DIVISOR1]] : f32
+// CHECK: %[[EXP2:.+]] = exp %[[XX]] : f32
+// CHECK: %[[DIVIDEND2:.+]] = subf %[[EXP2]], %[[ONE]] : f32
+// CHECK: %[[DIVISOR2:.+]] = addf %[[EXP2]], %[[ONE]] : f32
+// CHECK: %[[RES2:.+]] = divf %[[DIVIDEND2]], %[[DIVISOR2]] : f32
+// CHECK: %[[ZERO:.+]] = constant 0.000000e+00 : f32
+// CHECK: %[[COND:.+]] = cmpf "oge", %arg0, %[[ZERO]] : f32
+// CHECK: %[[RESULT:.+]] = select %[[COND]], %[[RES1]], %[[RES2]] : f32
+// CHECK: return %[[RESULT]]