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[mlir] Avoid cloning ops in SCF parallel conversion to CFG
The existing implementation of the conversion from SCF Parallel operation to SCF "for" loops in order to further convert those loops to branch-based CFG has been cloning the loop and reduction body operations into the new loop because ConversionPatternRewriter was missing support for moving blocks while replacing their arguments. This functionality now available, use it to implement the conversion and avoid cloning operations, which may lead to doubling of the IR size during the conversion. In addition, this fixes an issue with converting nested SCF "if" conditionals present in "parallel" operations that would cause the conversion infrastructure to stop because of the repeated application of the pattern converting "newly" created "if"s (which were in fact just moved). Arguably, this should be fixed at the infrastructure level and this fix is a workaround. Reviewed By: herhut Differential Revision: https://reviews.llvm.org/D91955
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@@ -404,7 +404,6 @@ LogicalResult
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ParallelLowering::matchAndRewrite(ParallelOp parallelOp,
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PatternRewriter &rewriter) const {
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Location loc = parallelOp.getLoc();
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BlockAndValueMapping mapping;
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// For a parallel loop, we essentially need to create an n-dimensional loop
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// nest. We do this by translating to scf.for ops and have those lowered in
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@@ -412,6 +411,8 @@ ParallelLowering::matchAndRewrite(ParallelOp parallelOp,
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// values), forward the initial values for the reductions down the loop
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// hierarchy and bubble up the results by modifying the "yield" terminator.
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SmallVector<Value, 4> iterArgs = llvm::to_vector<4>(parallelOp.initVals());
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SmallVector<Value, 4> ivs;
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ivs.reserve(parallelOp.getNumLoops());
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bool first = true;
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SmallVector<Value, 4> loopResults(iterArgs);
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for (auto loop_operands :
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@@ -420,7 +421,7 @@ ParallelLowering::matchAndRewrite(ParallelOp parallelOp,
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Value iv, lower, upper, step;
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std::tie(iv, lower, upper, step) = loop_operands;
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ForOp forOp = rewriter.create<ForOp>(loc, lower, upper, step, iterArgs);
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mapping.map(iv, forOp.getInductionVar());
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ivs.push_back(forOp.getInductionVar());
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auto iterRange = forOp.getRegionIterArgs();
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iterArgs.assign(iterRange.begin(), iterRange.end());
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@@ -439,33 +440,33 @@ ParallelLowering::matchAndRewrite(ParallelOp parallelOp,
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rewriter.setInsertionPointToStart(forOp.getBody());
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}
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// Now copy over the contents of the body.
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// First, merge reduction blocks into the main region.
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SmallVector<Value, 4> yieldOperands;
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yieldOperands.reserve(parallelOp.getNumResults());
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for (auto &op : parallelOp.getBody()->without_terminator()) {
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// Reduction blocks are handled differently.
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for (auto &op : *parallelOp.getBody()) {
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auto reduce = dyn_cast<ReduceOp>(op);
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if (!reduce) {
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rewriter.clone(op, mapping);
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if (!reduce)
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continue;
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}
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// Clone the body of the reduction operation into the body of the loop,
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// using operands of "scf.reduce" and iteration arguments corresponding
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// to the reduction value to replace arguments of the reduction block.
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// Collect operands of "scf.reduce.return" to be returned by a final
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// "scf.yield" instead.
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Value arg = iterArgs[yieldOperands.size()];
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Block &reduceBlock = reduce.reductionOperator().front();
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mapping.map(reduceBlock.getArgument(0), mapping.lookupOrDefault(arg));
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mapping.map(reduceBlock.getArgument(1),
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mapping.lookupOrDefault(reduce.operand()));
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for (auto &nested : reduceBlock.without_terminator())
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rewriter.clone(nested, mapping);
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yieldOperands.push_back(
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mapping.lookup(reduceBlock.getTerminator()->getOperand(0)));
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Value arg = iterArgs[yieldOperands.size()];
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yieldOperands.push_back(reduceBlock.getTerminator()->getOperand(0));
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rewriter.eraseOp(reduceBlock.getTerminator());
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rewriter.mergeBlockBefore(&reduceBlock, &op, {arg, reduce.operand()});
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rewriter.eraseOp(reduce);
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}
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// Then merge the loop body without the terminator.
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rewriter.eraseOp(parallelOp.getBody()->getTerminator());
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Block *newBody = rewriter.getInsertionBlock();
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if (newBody->empty())
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rewriter.mergeBlocks(parallelOp.getBody(), newBody, ivs);
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else
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rewriter.mergeBlockBefore(parallelOp.getBody(), newBody->getTerminator(),
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ivs);
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// Finally, create the terminator if required (for loops with no results, it
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// has been already created in loop construction).
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if (!yieldOperands.empty()) {
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rewriter.setInsertionPointToEnd(rewriter.getInsertionBlock());
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rewriter.create<scf::YieldOp>(loc, yieldOperands);
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@@ -546,3 +546,44 @@ func @nested_while_ops(%arg0: f32) -> i64 {
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return %0 : i64
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}
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// CHECK-LABEL: @ifs_in_parallel
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// CHECK: (%[[ARG0:.*]]: index, %[[ARG1:.*]]: index, %[[ARG2:.*]]: index, %[[ARG3:.*]]: i1, %[[ARG4:.*]]: i1)
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func @ifs_in_parallel(%arg1: index, %arg2: index, %arg3: index, %arg4: i1, %arg5: i1) {
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// CHECK: br ^[[LOOP_LATCH:.*]](%[[ARG0]] : index)
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// CHECK: ^[[LOOP_LATCH]](%[[LOOP_IV:.*]]: index):
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// CHECK: %[[LOOP_COND:.*]] = cmpi "slt", %[[LOOP_IV]], %[[ARG1]] : index
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// CHECK: cond_br %[[LOOP_COND]], ^[[LOOP_BODY:.*]], ^[[LOOP_CONT:.*]]
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// CHECK: ^[[LOOP_BODY]]:
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// CHECK: cond_br %[[ARG3]], ^[[IF1_THEN:.*]], ^[[IF1_CONT:.*]]
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// CHECK: ^[[IF1_THEN]]:
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// CHECK: cond_br %[[ARG4]], ^[[IF2_THEN:.*]], ^[[IF2_ELSE:.*]]
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// CHECK: ^[[IF2_THEN]]:
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// CHECK: %{{.*}} = "test.if2"() : () -> index
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// CHECK: br ^[[IF2_MERGE:.*]](%{{.*}} : index)
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// CHECK: ^[[IF2_ELSE]]:
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// CHECK: %{{.*}} = "test.else2"() : () -> index
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// CHECK: br ^[[IF2_MERGE]](%{{.*}} : index)
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// CHECK: ^[[IF2_MERGE]](%{{.*}}: index):
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// CHECK: br ^[[IF2_CONT:.*]]
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// CHECK: ^[[IF2_CONT]]:
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// CHECK: br ^[[IF1_CONT]]
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// CHECK: ^[[IF1_CONT]]:
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// CHECK: %{{.*}} = addi %[[LOOP_IV]], %[[ARG2]] : index
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// CHECK: br ^[[LOOP_LATCH]](%{{.*}} : index)
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scf.parallel (%i) = (%arg1) to (%arg2) step (%arg3) {
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scf.if %arg4 {
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%0 = scf.if %arg5 -> (index) {
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%1 = "test.if2"() : () -> index
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scf.yield %1 : index
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} else {
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%2 = "test.else2"() : () -> index
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scf.yield %2 : index
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}
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}
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scf.yield
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}
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// CHECK: ^[[LOOP_CONT]]:
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// CHECK: return
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return
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}
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