Krnl block (#170)
* Support krnl.block printing/parsing. * Checkpoing, PoC working. * Implement krnl.block operation. * Make tuple -> make pair. * Bug fix, white list krnl.iterate op while lowering. * Add return loop op lowering. * Bug fix. * Allow using loop refs more than once if they are used by krnl.iterate op. * More comments and include lit test. * Make krnl.block definition more restrictive. * Splitting tests creates modules, making affine_map matching more verbose, prefer not splitting since test cases are small. * Use verbose mode for LIT test on Z. * Use verbose build to diagnose. * Missing libraries linking when building in shared mode. * Fix whole-archive linkage. * Try preloading affinetransforms. * Try put AffineTransforms into LD_LIBRARY_PATH. * Fix python syntax error. * No need to link with whole-archive libs, as they are pre-loaded. * Do not preload any library. * Link with whole-archive libs. * Explicitly shared linkage in CMake. * Fix CMake syntax error. * Restore test.py * Update z13.sh * Update z13.sh * Provide krnl.block operation description.
This commit is contained in:
Tian Jin
GitHub
parent
fd3ee81bcf
commit
f9cb113a84
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@ -273,3 +273,20 @@ def KrnlGetRefOp : Op<Krnl_Dialect, "getref"> {
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let parser = ?;
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let printer = ?;
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}
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def KrnlBlockOp : Op<Krnl_Dialect, "block"> {
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let summary = "Krnl block operation";
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let description = [{
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Block a single for loop by a constant tile size. For instance,
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$ib, $il = krnl.block %i, 4
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means to block the for loop referred to by %i using a tile size of 4.
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}];
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let arguments = (ins
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AnyType:$loop, I64Attr:$tile_size);
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let results = (outs AnyType:$loop_block, AnyType:$loop_local);
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let assemblyFormat = [{
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$loop $tile_size attr-dict `:` functional-type($loop, results)
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}];
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}
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@ -12,6 +12,7 @@
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#include "mlir/Dialect/StandardOps/IR/Ops.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Transforms/DialectConversion.h"
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#include "mlir/Transforms/LoopUtils.h"
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#include "src/Dialect/Krnl/KrnlOps.hpp"
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#include "src/Pass/Passes.hpp"
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@ -20,51 +21,45 @@ using namespace mlir;
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namespace {
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//===----------------------------------------------------------------------===//
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// Krnl to Affine Rewrite Patterns: KrnlIterate operation.
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//===----------------------------------------------------------------------===//
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struct KrnlIterateOpLowering : public OpRewritePattern<KrnlIterateOp> {
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using OpRewritePattern<KrnlIterateOp>::OpRewritePattern;
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LogicalResult matchAndRewrite(
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KrnlIterateOp iterateOp, PatternRewriter &rewriter) const override {
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void lowerIterateOp(KrnlIterateOp &iterateOp, OpBuilder &rewriter,
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SmallVector<std::pair<Value, AffineForOp>, 4> &nestedForOps) {
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rewriter.setInsertionPointAfter(iterateOp);
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SmallVector<std::pair<Value, AffineForOp>, 4> currentNestedForOps;
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auto boundMapAttrs =
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iterateOp.getAttrOfType<ArrayAttr>(KrnlIterateOp::getBoundsAttrName())
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.getValue();
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auto operandItr =
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iterateOp.operand_begin() + iterateOp.getNumOptimizedLoops();
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SmallVector<AffineForOp, 4> nestedForOps;
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for (size_t boundIdx = 0; boundIdx < boundMapAttrs.size(); boundIdx += 2) {
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// Consume input loop operand, currently do not do anything with it.
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operandItr++;
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auto unoptimizedLoopRef = *(operandItr++);
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// Organize operands into lower/upper bounds in affine.for ready formats.
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SmallVector<Value, 4> lbOperands, ubOperands;
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llvm::SmallVector<Value, 4> lbOperands, ubOperands;
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AffineMap lbMap, ubMap;
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for (int boundType = 0; boundType < 2; boundType++) {
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auto &operands = boundType == 0 ? lbOperands : ubOperands;
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auto &map = boundType == 0 ? lbMap : ubMap;
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map = boundMapAttrs[boundIdx + boundType]
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.cast<AffineMapAttr>()
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.getValue();
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map =
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boundMapAttrs[boundIdx + boundType].cast<AffineMapAttr>().getValue();
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operands.insert(
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operands.end(), operandItr, operandItr + map.getNumInputs());
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std::advance(operandItr, map.getNumInputs());
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}
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currentNestedForOps.emplace_back(std::make_pair(
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unoptimizedLoopRef, rewriter.create<AffineForOp>(iterateOp.getLoc(),
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lbOperands, lbMap, ubOperands, ubMap)));
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nestedForOps.emplace_back(rewriter.create<AffineForOp>(
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iterateOp.getLoc(), lbOperands, lbMap, ubOperands, ubMap));
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rewriter.setInsertionPoint(nestedForOps.back().getBody(),
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nestedForOps.back().getBody()->begin());
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rewriter.setInsertionPoint(currentNestedForOps.back().second.getBody(),
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currentNestedForOps.back().second.getBody()->begin());
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}
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// Replace induction variable references from those introduced by a
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// single krnl.iterate to those introduced by multiple affine.for
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// operations.
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for (int64_t i = 0; i < (int64_t)nestedForOps.size() - 1; i++) {
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for (int64_t i = 0; i < (int64_t)currentNestedForOps.size() - 1; i++) {
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auto iterateIV = iterateOp.bodyRegion().front().getArgument(0);
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auto forIV = nestedForOps[i].getBody()->getArgument(0);
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auto forIV = currentNestedForOps[i].second.getBody()->getArgument(0);
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iterateIV.replaceAllUsesWith(forIV);
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iterateOp.bodyRegion().front().eraseArgument(0);
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}
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@ -74,26 +69,27 @@ struct KrnlIterateOpLowering : public OpRewritePattern<KrnlIterateOp> {
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while (iterateOp.bodyRegion().front().getNumArguments() > 1)
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iterateOp.bodyRegion().front().eraseArgument(0);
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if (nestedForOps.empty()) {
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if (currentNestedForOps.empty()) {
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// If no loops are involved, simply move operations from within iterateOp
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// body region to the parent region of iterateOp.
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rewriter.setInsertionPoint(iterateOp);
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rewriter.setInsertionPointAfter(iterateOp);
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iterateOp.bodyRegion().walk([&](Operation *op) {
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if (!op->isKnownTerminator())
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op->replaceAllUsesWith(rewriter.clone(*op));
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});
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} else {
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// Transfer krnl.iterate region to innermost for op.
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auto innermostForOp = nestedForOps.back();
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auto innermostForOp = currentNestedForOps.back().second;
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innermostForOp.region().getBlocks().clear();
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rewriter.inlineRegionBefore(iterateOp.bodyRegion(),
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innermostForOp.region(), innermostForOp.region().end());
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auto &innerMostRegion = innermostForOp.region();
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innerMostRegion.getBlocks().splice(
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innerMostRegion.end(), iterateOp.bodyRegion().getBlocks());
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}
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rewriter.eraseOp(iterateOp);
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return success();
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iterateOp.erase();
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nestedForOps.insert(nestedForOps.end(), currentNestedForOps.begin(),
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currentNestedForOps.end());
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}
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};
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//===----------------------------------------------------------------------===//
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// Krnl to Affine Rewrite Patterns: KrnlTerminator operation.
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@ -140,6 +136,36 @@ public:
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}
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};
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//===----------------------------------------------------------------------===//
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// Krnl to Affine Rewrite Patterns: KrnlOptimizeLoops operation.
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//===----------------------------------------------------------------------===//
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class KrnlBlockOpLowering : public OpRewritePattern<KrnlBlockOp> {
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public:
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using OpRewritePattern<KrnlBlockOp>::OpRewritePattern;
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LogicalResult matchAndRewrite(
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KrnlBlockOp op, PatternRewriter &rewriter) const override {
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rewriter.eraseOp(op);
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return success();
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}
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};
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//===----------------------------------------------------------------------===//
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// Krnl to Affine Rewrite Patterns: KrnlOptimizeLoops operation.
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//===----------------------------------------------------------------------===//
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class KrnlReturnLoopOpLowering : public OpRewritePattern<KrnlReturnLoopsOp> {
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public:
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using OpRewritePattern<KrnlReturnLoopsOp>::OpRewritePattern;
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LogicalResult matchAndRewrite(
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KrnlReturnLoopsOp op, PatternRewriter &rewriter) const override {
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rewriter.eraseOp(op);
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return success();
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}
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};
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//===----------------------------------------------------------------------===//
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// KrnlToAffineLoweringPass
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//===----------------------------------------------------------------------===//
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@ -152,28 +178,144 @@ struct KrnlToAffineLoweringPass
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: public PassWrapper<KrnlToAffineLoweringPass, FunctionPass> {
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void runOnFunction() final;
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};
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// Helper function to test if KrnlIterateOp is nested under another
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// KrnlIterateOp.
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bool isIterateOpNested(KrnlIterateOp iterateOp) {
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// krnl.iterate is dynamically legal, if and only if it is enclosed by
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// another krnl.iterate.
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Operation *op = iterateOp;
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while ((op = op->getParentOp()))
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if (auto parentOp = dyn_cast<KrnlIterateOp>(op))
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return true;
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return false;
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}
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Optional<KrnlIterateOp> nextIterateOp(FuncOp function) {
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Optional<KrnlIterateOp> nextIterateOp;
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function.walk([&](KrnlIterateOp op) {
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if (!isIterateOpNested(op))
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nextIterateOp = op;
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});
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return nextIterateOp;
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}
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bool hasOnePerfectlyNestedIterateOp(KrnlIterateOp op) {
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auto childrenOps = op.bodyRegion().getOps();
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auto childrenOpsIter = childrenOps.begin();
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if (childrenOpsIter == childrenOps.end() ||
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!isa<KrnlIterateOp>(*childrenOpsIter))
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return false;
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if (++childrenOpsIter == childrenOps.end() ||
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!(*childrenOpsIter).isKnownTerminator())
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return false;
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return true;
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}
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} // end anonymous namespace.
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void KrnlToAffineLoweringPass::runOnFunction() {
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auto function = getFunction();
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ConversionTarget target(getContext());
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target.addLegalDialect<AffineDialect, StandardOpsDialect>();
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// We expect IR to be free of Krnl Dialect Ops.
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target.addIllegalDialect<KrnlOpsDialect>();
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// Operations that should be converted to LLVM IRs directly.
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target.addLegalOp<KrnlMemcpyOp>();
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target.addLegalOp<KrnlEntryPointOp>();
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target.addLegalOp<KrnlGlobalOp>();
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target.addLegalOp<KrnlGetRefOp>();
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target.addLegalOp<KrnlIterateOp>();
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OwningRewritePatternList patterns;
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patterns.insert<KrnlIterateOpLowering, KrnlTerminatorLowering,
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KrnlDefineLoopsLowering, KrnlOptimizeLoopsLowering>(&getContext());
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patterns.insert<KrnlTerminatorLowering, KrnlDefineLoopsLowering,
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KrnlOptimizeLoopsLowering, KrnlBlockOpLowering, KrnlReturnLoopOpLowering>(
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&getContext());
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if (failed(applyPartialConversion(getFunction(), target, patterns))) {
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signalPassFailure();
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// Do not lower operations that pertain to schedules just yet.
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target.addLegalOp<KrnlBlockOp>();
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target.addLegalOp<KrnlDefineLoopsOp>();
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target.addLegalOp<KrnlOptimizeLoopsOp>();
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target.addLegalOp<KrnlReturnLoopsOp>();
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if (failed(applyPartialConversion(function, target, patterns)))
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return signalPassFailure();
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OpBuilder builder(&getContext());
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while (auto iterateOp = nextIterateOp(function)) {
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// Collect a maximal set of loop band to lower. They must be a perfectly
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// nested sequence of for loops (this limitation follows from the
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// precondition of current loop manupulation utility libraries).
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auto rootOp = iterateOp;
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SmallVector<KrnlIterateOp, 4> loopBand = {*rootOp};
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while (hasOnePerfectlyNestedIterateOp(*rootOp)) {
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auto nestedIterateOp =
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*rootOp->bodyRegion().getOps<KrnlIterateOp>().begin();
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loopBand.emplace_back(nestedIterateOp);
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rootOp = nestedIterateOp;
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}
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// Lower the band of iterateOps, initialize loopRefToLoop to be the list of
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// loop reference and the for loop being referenced.
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SmallVector<std::pair<Value, AffineForOp>, 4> loopRefToLoop;
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for (auto op : loopBand)
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lowerIterateOp(op, builder, loopRefToLoop);
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// Manually lower schedule ops.
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while (!loopRefToLoop.empty()) {
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Value loopRef;
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AffineForOp forOp;
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std::tie(loopRef, forOp) = loopRefToLoop.pop_back_val();
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// Ensure that loop references are single-use during the scheduling phase.
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auto loopRefUsers = loopRef.getUsers();
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SmallVector<Operation *, 4> unfilteredUsers(
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loopRefUsers.begin(), loopRefUsers.end()),
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users;
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std::copy_if(unfilteredUsers.begin(), unfilteredUsers.end(),
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std::back_inserter(users),
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[](Operation *op) { return !isa<KrnlIterateOp>(op); });
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assert(std::distance(users.begin(), users.end()) <= 1 &&
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"Loop reference used more than once.");
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// No schedule primitives associated with this loop reference, move on.
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if (users.empty())
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continue;
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// Scheduling operations detected, transform loops as directed, while
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// keeping the loopRefToLoop mapping up-to-date.
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auto user = users.front();
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if (isa<KrnlBlockOp>(user)) {
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auto blockOp = cast<KrnlBlockOp>(user);
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SmallVector<AffineForOp, 2> tiledLoops;
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SmallVector<AffineForOp, 1> loopsToTile = {forOp};
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if (failed(tilePerfectlyNested(loopsToTile,
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cast<KrnlBlockOp>(user).tile_sizeAttr().getInt(),
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&tiledLoops))) {
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return signalPassFailure();
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}
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assert(tiledLoops.size() == 2);
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assert(blockOp.getNumResults() == 2);
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// Record the tiled loop references, and their corresponding tiled for
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// loops in loopRefToLoop.
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loopRefToLoop.emplace_back(
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std::make_pair(blockOp.getResult(0), tiledLoops[0]));
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loopRefToLoop.emplace_back(
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std::make_pair(blockOp.getResult(1), tiledLoops[1]));
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}
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}
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}
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// KrnlIterateOp should be all gone by now.
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target.addIllegalOp<KrnlIterateOp>();
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// Remove/lower schedule related operations.
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target.addIllegalOp<KrnlDefineLoopsOp>();
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target.addIllegalOp<KrnlBlockOp>();
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target.addIllegalOp<KrnlOptimizeLoopsOp>();
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target.addIllegalOp<KrnlReturnLoopsOp>();
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if (failed(applyPartialConversion(function, target, patterns)))
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return signalPassFailure();
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}
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} // namespace
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@ -0,0 +1,45 @@
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// RUN: onnx-mlir-opt --lower-krnl %s -split-input-file | FileCheck %s
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// CHECK-DAG: #{{.*}} = affine_map<(d0) -> (d0)>
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// CHECK-DAG: #{{.*}} = affine_map<(d0) -> (d0 + 2)>
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// CHECK-DAG: #{{.*}} = affine_map<() -> (0)>
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// CHECK-DAG: #{{.*}} = affine_map<() -> (10)>
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// CHECK-DAG: #{{.*}} = affine_map<(d0, d1) -> (d1 + 2, d0 + 4, 10)>
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// CHECK-DAG: #{{.*}} = affine_map<(d0) -> (d0 + 4, 10)>
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func @simple_block() {
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// CHECK-LABEL: simple_block
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// CHECK-NEXT: affine.for [[OUTER_LOOP:%.+]] = 0 to 10 step 2 {
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// CHECK-NEXT: affine.for [[INNER_LOOP:%.+]] = #map{{.*}}([[OUTER_LOOP]]) to #map{{.*}}([[OUTER_LOOP]]) {
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// CHECK-NEXT: %0 = addi [[INNER_LOOP]], [[INNER_LOOP]] : index
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// CHECK-NEXT: }
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// CHECK-NEXT: }
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%ii = krnl.define_loops 1
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%ib, %il = krnl.block %ii 2 : (!krnl.loop) -> (!krnl.loop, !krnl.loop)
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krnl.iterate(%ib, %il) with (%ii -> %i = 0 to 10) {
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%foo = addi %i, %i : index
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}
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return
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}
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func @block_nested() {
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// CHECK-LABEL: block_nested
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// CHECK-NEXT: affine.for [[OUTER_LOOP:%.+]] = 0 to 10 step 4 {
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// CHECK-NEXT: affine.for [[MIDDLE_LOOP:%.+]] = #map{{.*}}([[OUTER_LOOP]]) to min #map{{.*}}([[OUTER_LOOP]]) step 2 {
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// CHECK-NEXT: affine.for [[INNER_LOOP:%.+]] = #map{{.*}}([[MIDDLE_LOOP]]) to min #map{{.*}}([[OUTER_LOOP]], [[MIDDLE_LOOP]]) {
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// CHECK-NEXT: %0 = addi [[INNER_LOOP]], [[INNER_LOOP]] : index
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// CHECK-NEXT: }
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// CHECK-NEXT: }
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// CHECK-NEXT: }
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%ii = krnl.define_loops 1
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%ib, %il = krnl.block %ii 4 : (!krnl.loop) -> (!krnl.loop, !krnl.loop)
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%ilb, %ill = krnl.block %il 2 : (!krnl.loop) -> (!krnl.loop, !krnl.loop)
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krnl.iterate(%ib, %ilb, %ill) with (%ii -> %i = 0 to 10) {
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%foo = addi %i, %i : index
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}
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return
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}
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