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Merge pull request #1126 from ZenithalHourlyRate:bgv-modreduce
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,21 @@ | ||
| package( | ||
| default_applicable_licenses = ["@heir//:license"], | ||
| default_visibility = ["//visibility:public"], | ||
| ) | ||
|
|
||
| cc_library( | ||
| name = "DimensionAnalysis", | ||
| srcs = ["DimensionAnalysis.cpp"], | ||
| hdrs = ["DimensionAnalysis.h"], | ||
| deps = [ | ||
| "@heir//lib/Analysis/SecretnessAnalysis", | ||
| "@heir//lib/Dialect/Mgmt/IR:Dialect", | ||
| "@heir//lib/Dialect/Secret/IR:Dialect", | ||
| "@llvm-project//llvm:Support", | ||
| "@llvm-project//mlir:Analysis", | ||
| "@llvm-project//mlir:ArithDialect", | ||
| "@llvm-project//mlir:IR", | ||
| "@llvm-project//mlir:Support", | ||
| "@llvm-project//mlir:TensorDialect", | ||
| ], | ||
| ) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,127 @@ | ||
| #include "lib/Analysis/DimensionAnalysis/DimensionAnalysis.h" | ||
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| #include "lib/Analysis/SecretnessAnalysis/SecretnessAnalysis.h" | ||
| #include "lib/Dialect/Mgmt/IR/MgmtOps.h" | ||
| #include "lib/Dialect/Secret/IR/SecretOps.h" | ||
| #include "llvm/include/llvm/ADT/TypeSwitch.h" // from @llvm-project | ||
| #include "mlir/include/mlir/Analysis/DataFlowFramework.h" // from @llvm-project | ||
| #include "mlir/include/mlir/Dialect/Arith/IR/Arith.h" // from @llvm-project | ||
| #include "mlir/include/mlir/Dialect/Tensor/IR/Tensor.h" // from @llvm-project | ||
| #include "mlir/include/mlir/IR/Operation.h" // from @llvm-project | ||
| #include "mlir/include/mlir/IR/Value.h" // from @llvm-project | ||
| #include "mlir/include/mlir/IR/Visitors.h" // from @llvm-project | ||
| #include "mlir/include/mlir/Support/LLVM.h" // from @llvm-project | ||
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|
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| namespace mlir { | ||
| namespace heir { | ||
|
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| LogicalResult DimensionAnalysis::visitOperation( | ||
| Operation *op, ArrayRef<const DimensionLattice *> operands, | ||
| ArrayRef<DimensionLattice *> results) { | ||
| auto propagate = [&](Value value, const DimensionState &state) { | ||
| auto *lattice = getLatticeElement(value); | ||
| ChangeResult changed = lattice->join(state); | ||
| propagateIfChanged(lattice, changed); | ||
| }; | ||
|
|
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| auto ensureSecretness = [&](Operation *op, Value value) -> bool { | ||
| // create dependency on SecretnessAnalysis | ||
| auto *lattice = | ||
| getOrCreateFor<SecretnessLattice>(getProgramPointAfter(op), value); | ||
| if (!lattice->getValue().isInitialized()) { | ||
| return false; | ||
| } | ||
| return lattice->getValue().getSecretness(); | ||
| }; | ||
|
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||
| llvm::TypeSwitch<Operation &>(*op) | ||
| .Case<secret::GenericOp>([&](auto genericOp) { | ||
| Block *body = genericOp.getBody(); | ||
| for (auto i = 0; i != body->getNumArguments(); ++i) { | ||
| auto blockArg = body->getArgument(i); | ||
| propagate(blockArg, DimensionState(2)); | ||
| } | ||
| }) | ||
| .Case<mgmt::RelinearizeOp>([&](auto relinearizeOp) { | ||
| // implicitly ensure that the operand is secret | ||
| propagate(relinearizeOp.getResult(), DimensionState(2)); | ||
| }) | ||
| .Default([&](auto &op) { | ||
| if (op.getNumResults() == 0) { | ||
| return; | ||
| } | ||
|
|
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| // condition on result secretness | ||
| auto secretness = ensureSecretness(&op, op.getResult(0)); | ||
| if (!secretness) { | ||
| return; | ||
| } | ||
|
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| auto isMul = false; | ||
| if (isa<arith::MulIOp, arith::MulFOp>(op)) { | ||
| isMul = true; | ||
| } | ||
|
|
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| auto dimensionResult = 0; | ||
| auto operandSecretNum = 0; | ||
| for (const auto *operand : operands) { | ||
| auto secretness = ensureSecretness(&op, operand->getAnchor()); | ||
| // pt/ct default | ||
| auto dimension = 2; | ||
| bool operandIsSecret = false; | ||
| if (secretness) { | ||
| if (!operand->getValue().isInitialized()) { | ||
| return; | ||
| } | ||
| // ct | ||
| operandIsSecret = true; | ||
| operandSecretNum += 1; | ||
| dimension = operand->getValue().getDimension(); | ||
| } | ||
|
|
||
| if (isMul && operandIsSecret) { | ||
| dimensionResult += dimension; | ||
| } else { | ||
| dimensionResult = std::max(dimensionResult, dimension); | ||
| } | ||
| } | ||
| // tensor product | ||
| if (isMul && operandSecretNum == 2) { | ||
| dimensionResult -= 1; | ||
| } | ||
|
|
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| for (auto result : op.getResults()) { | ||
| propagate(result, DimensionState(dimensionResult)); | ||
| } | ||
| }); | ||
| return success(); | ||
| } | ||
|
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| void annotateDimension(Operation *top, DataFlowSolver *solver) { | ||
| auto getIntegerAttr = [&](int dimension) { | ||
| return IntegerAttr::get(IntegerType::get(top->getContext(), 64), dimension); | ||
| }; | ||
|
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| auto getDimension = [&](Value value) { | ||
| return solver->lookupState<DimensionLattice>(value) | ||
| ->getValue() | ||
| .getDimension(); | ||
| }; | ||
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| top->walk<WalkOrder::PreOrder>([&](secret::GenericOp genericOp) { | ||
| for (auto blockArg : genericOp.getBody()->getArguments()) { | ||
| genericOp.setArgAttr(blockArg.getArgNumber(), "dimension", | ||
| getIntegerAttr(getDimension(blockArg))); | ||
| } | ||
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| genericOp.getBody()->walk<WalkOrder::PreOrder>([&](Operation *op) { | ||
| if (op->getNumResults() == 0) { | ||
| return; | ||
| } | ||
| op->setAttr("dimension", getIntegerAttr(getDimension(op->getResult(0)))); | ||
| }); | ||
| }); | ||
| } | ||
|
|
||
| } // namespace heir | ||
| } // namespace mlir |
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