DFG: make variable inlining part of the peephole optimizer
This saves some traversals and prepares us to better handle cyclic DFGs.
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@ -75,20 +75,6 @@ V3DfgOptimizationContext::~V3DfgOptimizationContext() {
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"Inconsistent statistics");
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}
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// 'Inline' DfgVar nodes with known drivers
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void V3DfgPasses::inlineVars(DfgGraph& dfg) {
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dfg.forEachVertex([](DfgVertex& vtx) {
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// For each DfgVar that has a known driver
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if (DfgVar* const varVtxp = vtx.cast<DfgVar>()) {
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if (varVtxp->isDrivenFullyByDfg()) {
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// Make consumers of the DfgVar consume the driver directly
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DfgVertex* const driverp = varVtxp->source(0);
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varVtxp->forEachSinkEdge([=](DfgEdge& edge) { edge.relinkSource(driverp); });
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}
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}
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});
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}
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// Common subexpression elimination
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void V3DfgPasses::cse(DfgGraph& dfg, V3DfgCseContext& ctx) {
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DfgVertex::HashCache hashCache;
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@ -183,16 +169,6 @@ void V3DfgPasses::optimize(DfgGraph& dfg, V3DfgOptimizationContext& ctx) {
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// There is absolutely nothing useful we can do with a graph of size 2 or less
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if (dfg.size() <= 2) return;
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// We consider a DFG trivial if it contains no more than 1 non-variable, non-constant vertex,
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// or if if it contains a DfgConcat, which can be introduced through assinment coalescing.
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unsigned excitingVertices = 0;
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const bool isTrivial = !dfg.findVertex<DfgVertex>([&](const DfgVertex& vtx) { //
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if (vtx.is<DfgVar>()) return false;
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if (vtx.is<DfgConst>()) return false;
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if (vtx.is<DfgConcat>()) return true;
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return ++excitingVertices >= 2;
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});
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int passNumber = 0;
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const auto apply = [&](int dumpLevel, const string name, std::function<void()> pass) {
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@ -206,23 +182,15 @@ void V3DfgPasses::optimize(DfgGraph& dfg, V3DfgOptimizationContext& ctx) {
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++passNumber;
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};
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if (!isTrivial) {
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// Optimize non-trivial graph
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if (dumpDfg() >= 8) { dfg.dumpDotAllVarConesPrefixed(ctx.prefix() + "input"); }
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apply(3, "input ", [&]() {});
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apply(4, "inlineVars ", [&]() { inlineVars(dfg); });
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apply(4, "cse ", [&]() { cse(dfg, ctx.m_cseContext0); });
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if (v3Global.opt.fDfgPeephole()) {
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apply(4, "peephole ", [&]() { peephole(dfg, ctx.m_peepholeContext); });
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}
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if (dumpDfg() >= 8) dfg.dumpDotAllVarConesPrefixed(ctx.prefix() + "input");
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apply(3, "input ", [&]() {});
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apply(4, "cse ", [&]() { cse(dfg, ctx.m_cseContext0); });
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if (v3Global.opt.fDfgPeephole()) {
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apply(4, "peephole ", [&]() { peephole(dfg, ctx.m_peepholeContext); });
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// Without peephole no variables will be redundant, and we just did CSE, so skip these
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apply(4, "removeVars ", [&]() { removeVars(dfg, ctx.m_removeVarsContext); });
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apply(4, "cse ", [&]() { cse(dfg, ctx.m_cseContext1); });
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apply(3, "optimized ", [&]() { removeUnused(dfg); });
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if (dumpDfg() >= 8) { dfg.dumpDotAllVarConesPrefixed(ctx.prefix() + "optimized"); }
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} else {
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// We can still eliminate redundancies from trivial graphs
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apply(5, "trivial-input ", [&]() {});
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apply(6, "trivial-inlineVars ", [&]() { inlineVars(dfg); });
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apply(5, "trivial-optimized ", [&]() { removeVars(dfg, ctx.m_removeVarsContext); });
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}
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apply(3, "optimized ", [&]() { removeUnused(dfg); });
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if (dumpDfg() >= 8) dfg.dumpDotAllVarConesPrefixed(ctx.prefix() + "optimized");
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}
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@ -100,8 +100,6 @@ AstModule* dfgToAst(DfgGraph&, V3DfgOptimizationContext&);
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// Intermediate/internal operations
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//===========================================================================
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// Inline variables
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void inlineVars(DfgGraph&);
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// Common subexpression elimination
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void cse(DfgGraph&, V3DfgCseContext&);
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// Peephole optimizations
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@ -1102,19 +1102,30 @@ class V3DfgPeephole final : public DfgVisitor {
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}
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}
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void visit(DfgVar* vtxp) override {
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// Inline variables fully driven by the logic represented by the DFG
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if (vtxp->hasSinks() && vtxp->isDrivenFullyByDfg()) {
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APPLYING(INLINE_VAR) {
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// Make consumers of the DfgVar consume the driver directly
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DfgVertex* const driverp = vtxp->source(0);
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vtxp->forEachSinkEdge([=](DfgEdge& edge) { edge.relinkSource(driverp); });
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}
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}
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}
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#undef APPLYING
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// Process one vertex. Return true if graph changed
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bool processVertex(DfgVertex& vtx) {
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// Keep DfgVars in this pass, we will remove them later if they become redundant
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// Note: We want to keep the original variables for non-var vertices that drive multiple
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// sinks (otherwise we would need to introduce a temporary, it is better for debugging to
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// keep the original variable name, if one is available), so we can't remove redundant
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// variables here.
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if (vtx.is<DfgVar>()) return false;
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// Keep DfgVertexLValue vertices in this pass. We will remove them later if they become
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// redundant. We want to keep the original variables for non-var vertices that drive
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// multiple sinks (otherwise we would need to introduce a temporary, but it is better for
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// debugging to keep the original variable name, if one is available), so we can't remove
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// redundant variables here.
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const bool keep = vtx.is<DfgVar>();
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// If it has no sinks (unused), we can remove it
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if (!vtx.hasSinks()) {
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if (!keep && !vtx.hasSinks()) {
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vtx.unlinkDelete(m_dfg);
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return true;
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}
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@ -1122,7 +1133,15 @@ class V3DfgPeephole final : public DfgVisitor {
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// Transform node
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m_changed = false;
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iterate(&vtx);
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if (!vtx.hasSinks()) vtx.unlinkDelete(m_dfg); // If it became unused, we can remove it
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// If it became unused, we can remove it
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if (!keep && !vtx.hasSinks()) {
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UASSERT_OBJ(m_changed, &vtx, "'m_changed' must be set if node became unused");
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vtx.unlinkDelete(m_dfg);
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return true;
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}
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// Return the changed status
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return m_changed;
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}
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@ -82,7 +82,8 @@
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_FOR_EACH_DFG_PEEPHOLE_OPTIMIZATION_APPLY(macro, REPLACE_COND_WITH_THEN_BRANCH_ZERO) \
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_FOR_EACH_DFG_PEEPHOLE_OPTIMIZATION_APPLY(macro, REPLACE_COND_WITH_THEN_BRANCH_ONES) \
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_FOR_EACH_DFG_PEEPHOLE_OPTIMIZATION_APPLY(macro, REPLACE_COND_WITH_ELSE_BRANCH_ZERO) \
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_FOR_EACH_DFG_PEEPHOLE_OPTIMIZATION_APPLY(macro, REPLACE_COND_WITH_ELSE_BRANCH_ONES)
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_FOR_EACH_DFG_PEEPHOLE_OPTIMIZATION_APPLY(macro, REPLACE_COND_WITH_ELSE_BRANCH_ONES) \
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_FOR_EACH_DFG_PEEPHOLE_OPTIMIZATION_APPLY(macro, INLINE_VAR)
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// clang-format on
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