106 lines
3.9 KiB
C++
106 lines
3.9 KiB
C++
//===- OptimizeForNVVM.cpp - Optimize LLVM IR for NVVM ---------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Dialect/LLVMIR/Transforms/OptimizeForNVVM.h"
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#include "mlir/Dialect/LLVMIR/NVVMDialect.h"
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#include "mlir/IR/Builders.h"
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#include "mlir/IR/PatternMatch.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
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namespace mlir {
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namespace NVVM {
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#define GEN_PASS_DEF_NVVMOPTIMIZEFORTARGET
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#include "mlir/Dialect/LLVMIR/Transforms/Passes.h.inc"
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} // namespace NVVM
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} // namespace mlir
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using namespace mlir;
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namespace {
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// Replaces fdiv on fp16 with fp32 multiplication with reciprocal plus one
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// (conditional) Newton iteration.
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//
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// This as accurate as promoting the division to fp32 in the NVPTX backend, but
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// faster because it performs less Newton iterations, avoids the slow path
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// for e.g. denormals, and allows reuse of the reciprocal for multiple divisions
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// by the same divisor.
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struct ExpandDivF16 : public OpRewritePattern<LLVM::FDivOp> {
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using OpRewritePattern<LLVM::FDivOp>::OpRewritePattern;
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private:
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LogicalResult matchAndRewrite(LLVM::FDivOp op,
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PatternRewriter &rewriter) const override;
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};
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struct NVVMOptimizeForTarget
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: public NVVM::impl::NVVMOptimizeForTargetBase<NVVMOptimizeForTarget> {
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void runOnOperation() override;
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void getDependentDialects(DialectRegistry ®istry) const override {
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registry.insert<NVVM::NVVMDialect>();
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}
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};
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} // namespace
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LogicalResult ExpandDivF16::matchAndRewrite(LLVM::FDivOp op,
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PatternRewriter &rewriter) const {
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if (!op.getType().isF16())
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return rewriter.notifyMatchFailure(op, "not f16");
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Location loc = op.getLoc();
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Type f32Type = rewriter.getF32Type();
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Type i32Type = rewriter.getI32Type();
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// Extend lhs and rhs to fp32.
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Value lhs = rewriter.create<LLVM::FPExtOp>(loc, f32Type, op.getLhs());
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Value rhs = rewriter.create<LLVM::FPExtOp>(loc, f32Type, op.getRhs());
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// float rcp = rcp.approx.ftz.f32(rhs), approx = lhs * rcp.
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Value rcp = rewriter.create<NVVM::RcpApproxFtzF32Op>(loc, f32Type, rhs);
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Value approx = rewriter.create<LLVM::FMulOp>(loc, lhs, rcp);
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// Refine the approximation with one Newton iteration:
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// float refined = approx + (lhs - approx * rhs) * rcp;
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Value err = rewriter.create<LLVM::FMAOp>(
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loc, approx, rewriter.create<LLVM::FNegOp>(loc, rhs), lhs);
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Value refined = rewriter.create<LLVM::FMAOp>(loc, err, rcp, approx);
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// Use refined value if approx is normal (exponent neither all 0 or all 1).
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Value mask = rewriter.create<LLVM::ConstantOp>(
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loc, i32Type, rewriter.getUI32IntegerAttr(0x7f800000));
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Value cast = rewriter.create<LLVM::BitcastOp>(loc, i32Type, approx);
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Value exp = rewriter.create<LLVM::AndOp>(loc, i32Type, cast, mask);
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Value zero = rewriter.create<LLVM::ConstantOp>(
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loc, i32Type, rewriter.getUI32IntegerAttr(0));
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Value pred = rewriter.create<LLVM::OrOp>(
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loc,
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rewriter.create<LLVM::ICmpOp>(loc, LLVM::ICmpPredicate::eq, exp, zero),
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rewriter.create<LLVM::ICmpOp>(loc, LLVM::ICmpPredicate::eq, exp, mask));
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Value result =
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rewriter.create<LLVM::SelectOp>(loc, f32Type, pred, approx, refined);
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// Replace with trucation back to fp16.
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rewriter.replaceOpWithNewOp<LLVM::FPTruncOp>(op, op.getType(), result);
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return success();
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}
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void NVVMOptimizeForTarget::runOnOperation() {
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MLIRContext *ctx = getOperation()->getContext();
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RewritePatternSet patterns(ctx);
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patterns.add<ExpandDivF16>(ctx);
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if (failed(applyPatternsAndFoldGreedily(getOperation(), std::move(patterns))))
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return signalPassFailure();
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}
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std::unique_ptr<Pass> NVVM::createOptimizeForTargetPass() {
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return std::make_unique<NVVMOptimizeForTarget>();
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}
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