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Revert "[mlir][math] Implement alternative decomposition for tanh (#8……
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… (#85429)

…5025)"

This reverts commit 58ef9be.

There is a bool to float casting issue that needs to be sorted out to
make sure this is target independent
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srcarroll authored Mar 15, 2024
1 parent b7dd601 commit f75d164
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Showing 2 changed files with 27 additions and 32 deletions.
40 changes: 17 additions & 23 deletions mlir/lib/Dialect/Math/Transforms/ExpandPatterns.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -91,40 +91,34 @@ static LogicalResult convertCoshOp(math::CoshOp op, PatternRewriter &rewriter) {
}

/// Expands tanh op into
/// 1-exp^{-2x} / 1+exp^{-2x}
/// To avoid overflow we exploit the reflection symmetry `tanh(-x) = -tanh(x)`.
/// We compute a "signs" value which is -1 if input is negative and +1 if input
/// is positive. Then multiply the input by this value, guaranteeing that the
/// result is positive, which also guarantees `exp^{-2x * sign(x)}` is in (0,
/// 1]. Expand the computation on the input `x * sign(x)`, then multiply the
/// result by `sign(x)` to retain sign of the real result.
/// 1) 1-exp^{-2x} / 1+exp^{-2x}, if x => 0
/// 2) exp^{2x}-1 / exp^{2x}+1 , if x < 0
static LogicalResult convertTanhOp(math::TanhOp op, PatternRewriter &rewriter) {
auto floatType = op.getOperand().getType();
Location loc = op.getLoc();
Value zero = createFloatConst(loc, floatType, 0.0, rewriter);
Value one = createFloatConst(loc, floatType, 1.0, rewriter);
Value negTwo = createFloatConst(loc, floatType, -2.0, rewriter);

// Compute sign(x) = cast<float_type>(x < 0) * (-2) + 1
Value sign = rewriter.create<arith::CmpFOp>(loc, arith::CmpFPredicate::OLT,
op.getOperand(), zero);
sign = rewriter.create<arith::SIToFPOp>(loc, floatType, sign);
sign = rewriter.create<arith::MulFOp>(loc, sign, negTwo);
sign = rewriter.create<arith::AddFOp>(loc, sign, one);
Value two = createFloatConst(loc, floatType, 2.0, rewriter);
Value doubledX = rewriter.create<arith::MulFOp>(loc, op.getOperand(), two);

// Normalize input to positive value: y = sign(x) * x
Value positiveX = rewriter.create<arith::MulFOp>(loc, sign, op.getOperand());

// Decompose on normalized input
Value negDoubledX = rewriter.create<arith::MulFOp>(loc, negTwo, positiveX);
// Case 1: tanh(x) = 1-exp^{-2x} / 1+exp^{-2x}
Value negDoubledX = rewriter.create<arith::NegFOp>(loc, doubledX);
Value exp2x = rewriter.create<math::ExpOp>(loc, negDoubledX);
Value dividend = rewriter.create<arith::SubFOp>(loc, one, exp2x);
Value divisor = rewriter.create<arith::AddFOp>(loc, one, exp2x);
Value positiveRes = rewriter.create<arith::DivFOp>(loc, dividend, divisor);

// Multiply result by sign(x) to retain signs from negative inputs
rewriter.replaceOpWithNewOp<arith::MulFOp>(op, sign, positiveRes);
// Case 2: tanh(x) = exp^{2x}-1 / exp^{2x}+1
exp2x = rewriter.create<math::ExpOp>(loc, doubledX);
dividend = rewriter.create<arith::SubFOp>(loc, exp2x, one);
divisor = rewriter.create<arith::AddFOp>(loc, exp2x, one);
Value negativeRes = rewriter.create<arith::DivFOp>(loc, dividend, divisor);

// tanh(x) = x >= 0 ? positiveRes : negativeRes
Value zero = createFloatConst(loc, floatType, 0.0, rewriter);
Value cmpRes = rewriter.create<arith::CmpFOp>(loc, arith::CmpFPredicate::OGE,
op.getOperand(), zero);
rewriter.replaceOpWithNewOp<arith::SelectOp>(op, cmpRes, positiveRes,
negativeRes);
return success();
}

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19 changes: 10 additions & 9 deletions mlir/test/Dialect/Math/expand-math.mlir
Original file line number Diff line number Diff line change
Expand Up @@ -7,18 +7,19 @@ func.func @tanh(%arg: f32) -> f32 {
}
// CHECK-DAG: %[[ZERO:.+]] = arith.constant 0.000000e+00 : f32
// CHECK-DAG: %[[ONE:.+]] = arith.constant 1.000000e+00 : f32
// CHECK-DAG: %[[TWO:.+]] = arith.constant -2.000000e+00 : f32
// CHECK: %[[VAL0:.+]] = arith.cmpf olt, %arg0, %[[ZERO]] : f32
// CHECK: %[[VAL1:.+]] = arith.sitofp %[[VAL0]] : i1 to f32
// CHECK: %[[VAL2:.+]] = arith.mulf %[[VAL1]], %[[TWO]] : f32
// CHECK: %[[SIGN:.+]] = arith.addf %[[VAL2]], %[[ONE]] : f32
// CHECK: %[[POSX:.+]] = arith.mulf %[[SIGN]], %arg0 : f32
// CHECK: %[[NEGDOUBLEDX:.+]] = arith.mulf %[[POSX]], %[[TWO]] : f32
// CHECK-DAG: %[[TWO:.+]] = arith.constant 2.000000e+00 : f32
// CHECK: %[[DOUBLEDX:.+]] = arith.mulf %arg0, %[[TWO]] : f32
// CHECK: %[[NEGDOUBLEDX:.+]] = arith.negf %[[DOUBLEDX]] : f32
// CHECK: %[[EXP1:.+]] = math.exp %[[NEGDOUBLEDX]] : f32
// CHECK: %[[DIVIDEND1:.+]] = arith.subf %[[ONE]], %[[EXP1]] : f32
// CHECK: %[[DIVISOR1:.+]] = arith.addf %[[EXP1]], %[[ONE]] : f32
// CHECK: %[[POSRES:.+]] = arith.divf %[[DIVIDEND1]], %[[DIVISOR1]] : f32
// CHECK: %[[RESULT:.+]] = arith.mulf %[[SIGN]], %[[POSRES]] : f32
// CHECK: %[[RES1:.+]] = arith.divf %[[DIVIDEND1]], %[[DIVISOR1]] : f32
// CHECK: %[[EXP2:.+]] = math.exp %[[DOUBLEDX]] : f32
// CHECK: %[[DIVIDEND2:.+]] = arith.subf %[[EXP2]], %[[ONE]] : f32
// CHECK: %[[DIVISOR2:.+]] = arith.addf %[[EXP2]], %[[ONE]] : f32
// CHECK: %[[RES2:.+]] = arith.divf %[[DIVIDEND2]], %[[DIVISOR2]] : f32
// CHECK: %[[COND:.+]] = arith.cmpf oge, %arg0, %[[ZERO]] : f32
// CHECK: %[[RESULT:.+]] = arith.select %[[COND]], %[[RES1]], %[[RES2]] : f32
// CHECK: return %[[RESULT]]

// -----
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