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https://github.com/zama-ai/concrete.git
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The current pass applying the parameters determined by the optimizer to the IR propagates the parametrized TFHE types to operations not directly tagged with an optimizer ID only under certain conditions. In particular, it does not always properly propagate types into nested regions (e.g., of `scf.for` loops). This burdens preceding transformations that are applied in between the invocation of the optimizer and the parametrization pass with data-flow analysis and book-keeping in order to tag newly inserted operations with the right optimizer IDs that ensure proper parametrization. This commit replaces the current parametrization pass with a new pass that propagates parametrized TFHE types up and down def-use chains using type inference and a proper rewriter. The pass is limited to the operations supported by `TFHEParametrizationTypeResolver::resolve`.
1003 lines
37 KiB
C++
1003 lines
37 KiB
C++
// Part of the Concrete Compiler Project, under the BSD3 License with Zama
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// Exceptions. See
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// https://github.com/zama-ai/concrete-compiler-internal/blob/main/LICENSE.txt
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// for license information.
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#include "mlir/Dialect/Arith/Transforms/BufferizableOpInterfaceImpl.h"
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#include "mlir/Dialect/Bufferization/IR/Bufferization.h"
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#include "mlir/Dialect/Linalg/Transforms/BufferizableOpInterfaceImpl.h"
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#include "mlir/Dialect/SCF/Transforms/BufferizableOpInterfaceImpl.h"
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#include "mlir/Dialect/Tensor/Transforms/BufferizableOpInterfaceImpl.h"
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#include "llvm/Support/Debug.h"
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#include <err.h>
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#include <fstream>
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#include <iostream>
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#include <memory>
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#include <optional>
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#include <stdio.h>
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#include <string>
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#include "mlir/Dialect/Bufferization/Transforms/FuncBufferizableOpInterfaceImpl.h"
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#include "mlir/Dialect/Func/IR/FuncOps.h"
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#include "mlir/Dialect/LLVMIR/LLVMDialect.h"
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#include "mlir/Dialect/Linalg/IR/Linalg.h"
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#include "mlir/Dialect/MemRef/IR/MemRef.h"
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#include "mlir/Dialect/OpenMP/OpenMPDialect.h"
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#include "mlir/Dialect/SCF/IR/SCF.h"
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#include "mlir/ExecutionEngine/OptUtils.h"
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#include "mlir/Parser/Parser.h"
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#include "llvm/Support/Error.h"
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#include "llvm/Support/FileSystem.h"
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#include "llvm/Support/Path.h"
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#include "llvm/Support/SMLoc.h"
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#include "concrete-protocol.capnp.h"
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#include "concretelang/Conversion/Utils/GlobalFHEContext.h"
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#include "concretelang/Dialect/Concrete/IR/ConcreteDialect.h"
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#include "concretelang/Dialect/Concrete/Transforms/BufferizableOpInterfaceImpl.h"
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#include "concretelang/Dialect/FHE/IR/FHEDialect.h"
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#include "concretelang/Dialect/FHELinalg/IR/FHELinalgDialect.h"
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#include "concretelang/Dialect/RT/IR/RTDialect.h"
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#include "concretelang/Dialect/RT/Transforms/BufferizableOpInterfaceImpl.h"
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#include "concretelang/Dialect/SDFG/IR/SDFGDialect.h"
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#include "concretelang/Dialect/SDFG/Transforms/BufferizableOpInterfaceImpl.h"
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#include "concretelang/Dialect/SDFG/Transforms/SDFGConvertibleOpInterfaceImpl.h"
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#include "concretelang/Dialect/TFHE/IR/TFHEDialect.h"
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#include "concretelang/Dialect/Tracing/IR/TracingDialect.h"
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#include "concretelang/Dialect/Tracing/Transforms/BufferizableOpInterfaceImpl.h"
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#include "concretelang/Dialect/TypeInference/IR/TypeInferenceDialect.h"
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#include "concretelang/Runtime/DFRuntime.hpp"
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#include "concretelang/Support/CompilerEngine.h"
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#include "concretelang/Support/Encodings.h"
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#include "concretelang/Support/Error.h"
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#include "concretelang/Support/LLVMEmitFile.h"
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#include "concretelang/Support/Pipeline.h"
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#include "concretelang/Support/Utils.h"
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namespace mlir {
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namespace concretelang {
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// TODO: should be removed when bufferization is not related to CAPI lowering
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// Control whether we should call a cpu of gpu function when lowering
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// to CAPI
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static bool EMIT_GPU_OPS;
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bool getEmitGPUOption() { return EMIT_GPU_OPS; }
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/// Creates a new compilation context that can be shared across
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/// compilation engines and results
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std::shared_ptr<CompilationContext> CompilationContext::createShared() {
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return std::make_shared<CompilationContext>();
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}
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CompilationContext::CompilationContext()
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: mlirContext(nullptr), llvmContext(nullptr) {}
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CompilationContext::~CompilationContext() {
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delete this->mlirContext;
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delete this->llvmContext;
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}
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/// Returns the MLIR context for a compilation context. Creates and
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/// initializes a new MLIR context if necessary.
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mlir::MLIRContext *CompilationContext::getMLIRContext() {
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if (this->mlirContext == nullptr) {
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mlir::DialectRegistry registry;
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registry.insert<
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mlir::concretelang::TypeInference::TypeInferenceDialect,
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mlir::concretelang::Tracing::TracingDialect,
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mlir::concretelang::RT::RTDialect, mlir::concretelang::FHE::FHEDialect,
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mlir::concretelang::TFHE::TFHEDialect,
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mlir::concretelang::FHELinalg::FHELinalgDialect,
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mlir::concretelang::Concrete::ConcreteDialect,
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mlir::concretelang::SDFG::SDFGDialect, mlir::func::FuncDialect,
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mlir::memref::MemRefDialect, mlir::linalg::LinalgDialect,
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mlir::LLVM::LLVMDialect, mlir::scf::SCFDialect,
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mlir::omp::OpenMPDialect, mlir::bufferization::BufferizationDialect>();
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Tracing::registerBufferizableOpInterfaceExternalModels(registry);
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Concrete::registerBufferizableOpInterfaceExternalModels(registry);
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SDFG::registerSDFGConvertibleOpInterfaceExternalModels(registry);
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SDFG::registerBufferizableOpInterfaceExternalModels(registry);
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arith::registerBufferizableOpInterfaceExternalModels(registry);
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bufferization::func_ext::registerBufferizableOpInterfaceExternalModels(
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registry);
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scf::registerBufferizableOpInterfaceExternalModels(registry);
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tensor::registerBufferizableOpInterfaceExternalModels(registry);
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linalg::registerBufferizableOpInterfaceExternalModels(registry);
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RT::registerBufferizableOpInterfaceExternalModels(registry);
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this->mlirContext = new mlir::MLIRContext();
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this->mlirContext->appendDialectRegistry(registry);
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this->mlirContext->loadAllAvailableDialects();
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this->mlirContext->disableMultithreading();
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}
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return this->mlirContext;
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}
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/// Returns the LLVM context for a compilation context. Creates and
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/// initializes a new LLVM context if necessary.
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llvm::LLVMContext *CompilationContext::getLLVMContext() {
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if (this->llvmContext == nullptr)
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this->llvmContext = new llvm::LLVMContext();
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return this->llvmContext;
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}
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/// Sets the FHE constraints for the compilation. Overrides any
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/// automatically detected configuration and prevents the autodetection
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/// pass from running.
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void CompilerEngine::setFHEConstraints(
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const mlir::concretelang::V0FHEConstraint &c) {
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this->overrideMaxEintPrecision = c.p;
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this->overrideMaxMANP = c.norm2;
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}
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void CompilerEngine::setGenerateProgramInfo(bool v) {
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this->generateProgramInfo = v;
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}
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void CompilerEngine::setMaxEintPrecision(size_t v) {
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this->overrideMaxEintPrecision = v;
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}
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void CompilerEngine::setMaxMANP(size_t v) { this->overrideMaxMANP = v; }
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void CompilerEngine::setEnablePass(
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std::function<bool(mlir::Pass *)> enablePass) {
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this->enablePass = enablePass;
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}
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/// Returns the optimizer::Description
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llvm::Expected<std::optional<optimizer::Description>>
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CompilerEngine::getConcreteOptimizerDescription(CompilationResult &res) {
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mlir::MLIRContext &mlirContext = *this->compilationContext->getMLIRContext();
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mlir::ModuleOp module = res.mlirModuleRef->get();
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// If the values has been overwritten returns
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if (this->overrideMaxEintPrecision.has_value() &&
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this->overrideMaxMANP.has_value()) {
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auto constraint = mlir::concretelang::V0FHEConstraint{
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this->overrideMaxMANP.value(), this->overrideMaxEintPrecision.value()};
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return optimizer::Description{constraint, std::nullopt};
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}
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auto config = this->compilerOptions.optimizerConfig;
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auto descriptions = mlir::concretelang::pipeline::getFHEContextFromFHE(
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mlirContext, module, config, enablePass);
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if (auto err = descriptions.takeError()) {
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return std::move(err);
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}
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if (descriptions->empty()) { // The pass has not been run
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return std::nullopt;
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}
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if (this->compilerOptions.mainFuncName.has_value()) {
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auto name = this->compilerOptions.mainFuncName.value();
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auto description = descriptions->find(name);
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if (description == descriptions->end()) {
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std::string names;
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return StreamStringError("Function not found, name='")
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<< name << "', cannot get optimizer description";
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}
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return std::move(description->second);
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}
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if (descriptions->size() != 1) {
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llvm::errs() << "Several crypto parameters exists: the function need to be "
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"specified, taking the first one";
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}
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return std::move(descriptions->begin()->second);
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}
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/// set the fheContext field if the v0Constraint can be computed
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/// set the fheContext field if the v0Constraint can be computed
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llvm::Error CompilerEngine::determineFHEParameters(CompilationResult &res) {
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if (compilerOptions.v0Parameter.has_value()) {
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// parameters come from the compiler options
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auto v0Params = compilerOptions.v0Parameter.value();
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if (compilerOptions.largeIntegerParameter.has_value()) {
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v0Params.largeInteger = compilerOptions.largeIntegerParameter;
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}
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V0FHEConstraint constraint;
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if (compilerOptions.v0FHEConstraints.has_value()) {
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constraint = compilerOptions.v0FHEConstraints.value();
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}
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res.fheContext.emplace(
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mlir::concretelang::V0FHEContext{constraint, v0Params});
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CompilationFeedback feedback;
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res.feedback.emplace(feedback);
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return llvm::Error::success();
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}
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// compute parameters
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else {
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auto descr = getConcreteOptimizerDescription(res);
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if (auto err = descr.takeError()) {
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return err;
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}
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if (!descr.get().has_value()) {
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return llvm::Error::success();
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}
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CompilationFeedback feedback;
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// Make sure to use the gpu constraint of the optimizer if we use gpu
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// backend.
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compilerOptions.optimizerConfig.use_gpu_constraints =
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compilerOptions.emitGPUOps;
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auto expectedSolution = getSolution(descr.get().value(), feedback,
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compilerOptions.optimizerConfig);
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if (auto err = expectedSolution.takeError()) {
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return err;
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}
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res.fheContext.emplace(mlir::concretelang::V0FHEContext{
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descr.get().value().constraint, *expectedSolution});
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res.feedback.emplace(feedback);
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}
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return llvm::Error::success();
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}
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using OptionalLib = std::optional<std::shared_ptr<CompilerEngine::Library>>;
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// Compile the sources managed by the source manager `sm` to the
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// target dialect `target`. If successful, the result can be retrieved
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// using `getModule()` and `getLLVMModule()`, respectively depending
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// on the target dialect.
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llvm::Expected<CompilerEngine::CompilationResult>
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CompilerEngine::compile(llvm::SourceMgr &sm, Target target, OptionalLib lib) {
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std::unique_ptr<mlir::SourceMgrDiagnosticVerifierHandler> smHandler;
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std::string diagnosticsMsg;
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llvm::raw_string_ostream diagnosticsOS(diagnosticsMsg);
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auto errorDiag = [&](std::string prefixMsg)
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-> llvm::Expected<CompilerEngine::CompilationResult> {
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return StreamStringError(prefixMsg + "\n" + diagnosticsOS.str());
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};
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CompilationResult res(this->compilationContext);
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CompilationOptions &options = this->compilerOptions;
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mlir::MLIRContext &mlirContext = *this->compilationContext->getMLIRContext();
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if (options.verifyDiagnostics) {
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// Only build diagnostics verifier handler if diagnostics should
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// be verified in order to avoid diagnostic messages to be
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// consumed when they should appear on stderr.
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smHandler = std::make_unique<mlir::SourceMgrDiagnosticVerifierHandler>(
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sm, &mlirContext, diagnosticsOS);
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}
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mlirContext.printOpOnDiagnostic(false);
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mlir::OwningOpRef<mlir::ModuleOp> mlirModuleRef =
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mlir::parseSourceFile<mlir::ModuleOp>(sm, &mlirContext);
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if (options.verifyDiagnostics) {
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if (smHandler->verify().failed())
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return StreamStringError("Verification of diagnostics failed");
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else
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return std::move(res);
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}
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if (!mlirModuleRef) {
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return errorDiag("Could not parse source");
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}
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return compile(mlirModuleRef.release(), target, lib);
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}
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llvm::Expected<CompilerEngine::CompilationResult>
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CompilerEngine::compile(mlir::ModuleOp moduleOp, Target target,
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OptionalLib lib) {
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CompilationResult res(this->compilationContext);
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CompilationOptions &options = this->compilerOptions;
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mlir::MLIRContext &mlirContext = *this->compilationContext->getMLIRContext();
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// enable/disable usage of gpu functions during bufferization
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EMIT_GPU_OPS = options.emitGPUOps;
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auto dataflowParallelize =
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options.autoParallelize || options.dataflowParallelize;
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if (options.optimizerConfig.strategy == optimizer::Strategy::DAG_MULTI &&
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dataflowParallelize == true) {
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// FIXME: DF is not currently compatible with multi-parameters as
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// the generation of dataflow tasks obfuscates the code before the
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// analysis can be done. Until this is fixed we cannot allow both.
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dataflowParallelize = false;
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warnx("WARNING: dataflow parallelization is not compatible with the "
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"optimizer strategy [dag-multi]. Continuing with dataflow "
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"parallelization disabled.");
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}
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auto loopParallelize = options.autoParallelize || options.loopParallelize;
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if (loopParallelize)
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mlir::concretelang::dfr::_dfr_set_use_omp(true);
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if (dataflowParallelize)
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mlir::concretelang::dfr::_dfr_set_required(true);
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mlir::OwningOpRef<mlir::ModuleOp> mlirModuleRef(moduleOp);
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res.mlirModuleRef = std::move(mlirModuleRef);
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mlir::ModuleOp module = res.mlirModuleRef->get();
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if (target == Target::ROUND_TRIP)
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return std::move(res);
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// Retrieves the encoding informations before any transformation is performed
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// on the `FHE` dialect.
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if ((this->generateProgramInfo || target == Target::LIBRARY) &&
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!options.encodings) {
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auto funcName = options.mainFuncName.value_or("main");
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auto encodingInfosOrErr =
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mlir::concretelang::encodings::getCircuitEncodings(funcName, module);
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if (!encodingInfosOrErr) {
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return encodingInfosOrErr.takeError();
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}
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options.encodings = std::move(*encodingInfosOrErr);
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}
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if (mlir::concretelang::pipeline::transformFHEBoolean(mlirContext, module,
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enablePass)
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.failed()) {
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return StreamStringError("Transforming FHE boolean ops failed");
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}
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if (options.chunkIntegers) {
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if (mlir::concretelang::pipeline::transformFHEBigInt(
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mlirContext, module, enablePass, options.chunkSize,
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options.chunkWidth)
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.failed()) {
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return StreamStringError("Transforming FHE big integer ops failed");
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}
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}
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// FHE High level pass to determine FHE parameters
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if (auto err = this->determineFHEParameters(res))
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return std::move(err);
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// Now that FHE Parameters were computed, we can set the encoding mode of
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// integer ciphered inputs.
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if ((this->generateProgramInfo || target == Target::LIBRARY)) {
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std::optional<
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Message<concreteprotocol::IntegerCiphertextEncodingInfo::ChunkedMode>>
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maybeChunkInfo(std::nullopt);
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if (options.chunkIntegers) {
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auto chunkedMode = Message<
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concreteprotocol::IntegerCiphertextEncodingInfo::ChunkedMode>();
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chunkedMode.asBuilder().setSize(options.chunkSize);
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chunkedMode.asBuilder().setWidth(options.chunkWidth);
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maybeChunkInfo = chunkedMode;
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}
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mlir::concretelang::encodings::setCircuitEncodingModes(
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*options.encodings, maybeChunkInfo, res.fheContext);
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}
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// FHELinalg tiling
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if (options.fhelinalgTileSizes) {
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if (mlir::concretelang::pipeline::markFHELinalgForTiling(
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mlirContext, module, *options.fhelinalgTileSizes, enablePass)
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.failed())
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return StreamStringError(
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"Marking of FHELinalg operations for tiling failed");
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}
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if (mlir::concretelang::pipeline::tileMarkedFHELinalg(mlirContext, module,
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enablePass)
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.failed()) {
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return StreamStringError("Tiling of FHELinalg operations failed");
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}
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if (target == Target::FHE)
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return std::move(res);
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// FHELinalg -> FHE
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if (mlir::concretelang::pipeline::lowerFHELinalgToFHE(mlirContext, module,
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enablePass)
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.failed()) {
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return StreamStringError("Lowering from FHELinalg to FHE failed");
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}
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if (mlir::concretelang::pipeline::transformHighLevelFHEOps(mlirContext,
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module, enablePass)
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.failed()) {
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return StreamStringError("Rewriting of high level fhe ops failed");
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}
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// TODO: bring determineFHEParameters call here after the FHELinalg -> FHE
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// lowering
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// require to first support linalg.genric in the Optimizer Dag creation
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// FHE High level pass to determine FHE parameters
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// if (auto err = this->determineFHEParameters(res))
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// return std::move(err);
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if (target == Target::FHE_NO_LINALG)
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return std::move(res);
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// Dataflow parallelization
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if (dataflowParallelize &&
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mlir::concretelang::pipeline::autopar(mlirContext, module, enablePass)
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.failed()) {
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return StreamStringError("Dataflow parallelization failed");
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}
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if (mlir::concretelang::pipeline::lowerLinalgGenericToLoops(
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mlirContext, module, enablePass, loopParallelize)
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.failed()) {
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return StreamStringError("Lowering from Linalg Generic to Loops failed");
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}
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// FHE -> TFHE
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if (mlir::concretelang::pipeline::lowerFHEToTFHE(mlirContext, module,
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res.fheContext, enablePass)
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.failed()) {
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return StreamStringError("Lowering from FHE to TFHE failed");
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}
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// Optimizing TFHE
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if (this->compilerOptions.optimizeTFHE &&
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mlir::concretelang::pipeline::optimizeTFHE(mlirContext, module,
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this->enablePass)
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.failed()) {
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return StreamStringError("Optimizing TFHE failed");
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}
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if (target == Target::TFHE)
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return std::move(res);
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if (mlir::concretelang::pipeline::parametrizeTFHE(mlirContext, module,
|
|
res.fheContext, enablePass)
|
|
.failed()) {
|
|
return StreamStringError("Parametrization of TFHE operations failed");
|
|
}
|
|
|
|
if (target == Target::PARAMETRIZED_TFHE)
|
|
return std::move(res);
|
|
|
|
// Normalize TFHE keys
|
|
if (mlir::concretelang::pipeline::normalizeTFHEKeys(mlirContext, module,
|
|
this->enablePass)
|
|
.failed()) {
|
|
return StreamStringError("Normalizing TFHE keys failed");
|
|
}
|
|
|
|
// Generate client parameters if requested
|
|
if (this->generateProgramInfo) {
|
|
if (!options.mainFuncName.has_value()) {
|
|
return StreamStringError(
|
|
"Generation of client parameters requested, but no function name "
|
|
"specified");
|
|
}
|
|
if (!res.fheContext.has_value()) {
|
|
return StreamStringError(
|
|
"Cannot generate client parameters, the fhe context is empty for " +
|
|
options.mainFuncName.value());
|
|
}
|
|
}
|
|
// Generate program info if requested
|
|
if (this->generateProgramInfo || target == Target::LIBRARY) {
|
|
auto funcName = options.mainFuncName.value_or("main");
|
|
if (!res.fheContext.has_value()) {
|
|
// Some tests involve call a to non encrypted functions
|
|
auto programInfo = Message<concreteprotocol::ProgramInfo>();
|
|
programInfo.asBuilder().initCircuits(1);
|
|
programInfo.asBuilder().getCircuits()[0].setName(std::string(funcName));
|
|
res.programInfo = programInfo;
|
|
} else {
|
|
auto programInfoOrErr =
|
|
mlir::concretelang::createProgramInfoFromTfheDialect(
|
|
module, funcName, options.optimizerConfig.security,
|
|
options.encodings.value(), options.compressEvaluationKeys);
|
|
|
|
if (!programInfoOrErr)
|
|
return programInfoOrErr.takeError();
|
|
|
|
res.programInfo = std::move(*programInfoOrErr);
|
|
// If more than one circuit, feedback can not be generated for now ..
|
|
if (res.programInfo->asReader().getCircuits().size() != 1) {
|
|
return StreamStringError(
|
|
"Cannot generate feedback for program with more than one circuit.");
|
|
}
|
|
res.feedback->fillFromProgramInfo(*res.programInfo);
|
|
}
|
|
}
|
|
|
|
if (target == Target::NORMALIZED_TFHE)
|
|
return std::move(res);
|
|
|
|
if (res.feedback) {
|
|
if (mlir::concretelang::pipeline::extractTFHEStatistics(
|
|
mlirContext, module, this->enablePass, res.feedback.value())
|
|
.failed()) {
|
|
return StreamStringError("Extracting TFHE statistics failed");
|
|
}
|
|
}
|
|
|
|
if (options.simulate) {
|
|
if (mlir::concretelang::pipeline::simulateTFHE(mlirContext, module,
|
|
this->enablePass)
|
|
.failed()) {
|
|
return StreamStringError("Simulating TFHE failed");
|
|
}
|
|
}
|
|
|
|
if (target == Target::SIMULATED_TFHE)
|
|
return std::move(res);
|
|
|
|
if (options.batchTFHEOps) {
|
|
if (mlir::concretelang::pipeline::batchTFHE(mlirContext, module, enablePass,
|
|
options.maxBatchSize)
|
|
.failed()) {
|
|
return StreamStringError("Batching of TFHE operations");
|
|
}
|
|
}
|
|
|
|
if (target == Target::BATCHED_TFHE)
|
|
return std::move(res);
|
|
|
|
// TFHE -> Concrete
|
|
if (mlir::concretelang::pipeline::lowerTFHEToConcrete(mlirContext, module,
|
|
this->enablePass)
|
|
.failed()) {
|
|
return StreamStringError("Lowering from TFHE to Concrete failed");
|
|
}
|
|
|
|
if (target == Target::CONCRETE)
|
|
return std::move(res);
|
|
|
|
// Extract SDFG data flow graph from Concrete representation
|
|
|
|
if (options.emitSDFGOps) {
|
|
if (mlir::concretelang::pipeline::extractSDFGOps(
|
|
mlirContext, module, enablePass,
|
|
options.unrollLoopsWithSDFGConvertibleOps)
|
|
.failed()) {
|
|
return StreamStringError("Extraction of SDFG operations from Concrete "
|
|
"representation failed");
|
|
}
|
|
}
|
|
|
|
if (target == Target::SDFG) {
|
|
return std::move(res);
|
|
}
|
|
|
|
// Add runtime context in Concrete
|
|
if (mlir::concretelang::pipeline::addRuntimeContext(mlirContext, module,
|
|
enablePass)
|
|
.failed()) {
|
|
return StreamStringError("Adding Runtime Context failed");
|
|
}
|
|
|
|
// SDFG -> Canonical dialects
|
|
if (mlir::concretelang::pipeline::lowerSDFGToStd(mlirContext, module,
|
|
enablePass)
|
|
.failed()) {
|
|
return StreamStringError(
|
|
"Lowering from SDFG to canonical MLIR dialects failed");
|
|
}
|
|
|
|
// bufferize and related passes
|
|
if (mlir::concretelang::pipeline::lowerToStd(mlirContext, module, enablePass,
|
|
loopParallelize)
|
|
.failed()) {
|
|
return StreamStringError("Failed to lower to std");
|
|
}
|
|
|
|
if (target == Target::STD)
|
|
return std::move(res);
|
|
|
|
if (res.feedback) {
|
|
if (mlir::concretelang::pipeline::computeMemoryUsage(
|
|
mlirContext, module, this->enablePass, res.feedback.value())
|
|
.failed()) {
|
|
return StreamStringError("Computing memory usage failed");
|
|
}
|
|
}
|
|
|
|
if (mlir::concretelang::pipeline::lowerToCAPI(mlirContext, module, enablePass,
|
|
options.emitGPUOps)
|
|
.failed()) {
|
|
return StreamStringError("Failed to lower to CAPI");
|
|
}
|
|
|
|
// MLIR canonical dialects -> LLVM Dialect
|
|
if (mlir::concretelang::pipeline::lowerStdToLLVMDialect(mlirContext, module,
|
|
enablePass)
|
|
.failed()) {
|
|
return StreamStringError("Failed to lower to LLVM dialect");
|
|
}
|
|
|
|
if (target == Target::LLVM)
|
|
return std::move(res);
|
|
|
|
// Lowering to actual LLVM IR (i.e., not the LLVM dialect)
|
|
llvm::LLVMContext &llvmContext = *this->compilationContext->getLLVMContext();
|
|
|
|
res.llvmModule = mlir::concretelang::pipeline::lowerLLVMDialectToLLVMIR(
|
|
mlirContext, llvmContext, module);
|
|
|
|
if (!res.llvmModule)
|
|
return StreamStringError("Failed to convert from LLVM dialect to LLVM IR");
|
|
|
|
if (target == Target::LLVM_IR)
|
|
return std::move(res);
|
|
|
|
if (mlir::concretelang::pipeline::optimizeLLVMModule(llvmContext,
|
|
*res.llvmModule)
|
|
.failed()) {
|
|
return StreamStringError("Failed to optimize LLVM IR");
|
|
}
|
|
|
|
if (target == Target::OPTIMIZED_LLVM_IR)
|
|
return std::move(res);
|
|
|
|
if (target == Target::LIBRARY) {
|
|
if (!lib) {
|
|
return StreamStringError(
|
|
"Internal Error: Please provide a library parameter");
|
|
}
|
|
auto objPath = lib.value()->setCompilationResult(res);
|
|
if (!objPath) {
|
|
return StreamStringError(llvm::toString(objPath.takeError()));
|
|
}
|
|
return std::move(res);
|
|
}
|
|
|
|
return std::move(res);
|
|
}
|
|
|
|
/// Compile the source `s` to the target dialect `target`. If successful, the
|
|
/// result can be retrieved using `getModule()` and `getLLVMModule()`,
|
|
/// respectively depending on the target dialect.
|
|
llvm::Expected<CompilerEngine::CompilationResult>
|
|
CompilerEngine::compile(llvm::StringRef s, Target target, OptionalLib lib) {
|
|
std::unique_ptr<llvm::MemoryBuffer> mb = llvm::MemoryBuffer::getMemBuffer(s);
|
|
return this->compile(std::move(mb), target, lib);
|
|
}
|
|
|
|
/// Compile the contained in `buffer` to the target dialect
|
|
/// `target`. If successful, the result can be retrieved using
|
|
/// `getModule()` and `getLLVMModule()`, respectively depending on the
|
|
/// target dialect.
|
|
llvm::Expected<CompilerEngine::CompilationResult>
|
|
CompilerEngine::compile(std::unique_ptr<llvm::MemoryBuffer> buffer,
|
|
Target target, OptionalLib lib) {
|
|
llvm::SourceMgr sm;
|
|
sm.AddNewSourceBuffer(std::move(buffer), llvm::SMLoc());
|
|
|
|
return this->compile(sm, target, lib);
|
|
}
|
|
|
|
llvm::Expected<CompilerEngine::Library>
|
|
CompilerEngine::compile(std::vector<std::string> inputs,
|
|
std::string outputDirPath,
|
|
std::string runtimeLibraryPath, bool generateSharedLib,
|
|
bool generateStaticLib, bool generateClientParameters,
|
|
bool generateCompilationFeedback) {
|
|
using Library = mlir::concretelang::CompilerEngine::Library;
|
|
auto outputLib = std::make_shared<Library>(outputDirPath, runtimeLibraryPath);
|
|
auto target = CompilerEngine::Target::LIBRARY;
|
|
for (auto input : inputs) {
|
|
auto compilation = compile(input, target, outputLib);
|
|
if (!compilation) {
|
|
return compilation.takeError();
|
|
}
|
|
}
|
|
if (auto err = outputLib->emitArtifacts(generateSharedLib, generateStaticLib,
|
|
generateClientParameters,
|
|
generateCompilationFeedback)) {
|
|
return StreamStringError("Can't emit artifacts: ")
|
|
<< llvm::toString(std::move(err));
|
|
}
|
|
return *outputLib.get();
|
|
}
|
|
|
|
template <typename T>
|
|
llvm::Expected<CompilerEngine::Library>
|
|
compileModuleOrSource(CompilerEngine *engine, T module,
|
|
std::string outputDirPath, std::string runtimeLibraryPath,
|
|
bool generateSharedLib, bool generateStaticLib,
|
|
bool generateClientParameters,
|
|
bool generateCompilationFeedback) {
|
|
using Library = mlir::concretelang::CompilerEngine::Library;
|
|
auto outputLib = std::make_shared<Library>(outputDirPath, runtimeLibraryPath);
|
|
auto target = CompilerEngine::Target::LIBRARY;
|
|
|
|
auto compilation = engine->compile(module, target, outputLib);
|
|
if (!compilation) {
|
|
return compilation.takeError();
|
|
}
|
|
|
|
if (auto err = outputLib->emitArtifacts(generateSharedLib, generateStaticLib,
|
|
generateClientParameters,
|
|
generateCompilationFeedback)) {
|
|
return StreamStringError("Can't emit artifacts: ")
|
|
<< llvm::toString(std::move(err));
|
|
}
|
|
return *outputLib.get();
|
|
}
|
|
|
|
llvm::Expected<CompilerEngine::Library>
|
|
CompilerEngine::compile(llvm::SourceMgr &sm, std::string outputDirPath,
|
|
std::string runtimeLibraryPath, bool generateSharedLib,
|
|
bool generateStaticLib, bool generateClientParameters,
|
|
bool generateCompilationFeedback) {
|
|
return compileModuleOrSource<llvm::SourceMgr &>(
|
|
this, sm, outputDirPath, runtimeLibraryPath, generateSharedLib,
|
|
generateStaticLib, generateClientParameters, generateCompilationFeedback);
|
|
}
|
|
|
|
llvm::Expected<CompilerEngine::Library>
|
|
CompilerEngine::compile(mlir::ModuleOp module, std::string outputDirPath,
|
|
std::string runtimeLibraryPath, bool generateSharedLib,
|
|
bool generateStaticLib, bool generateClientParameters,
|
|
bool generateCompilationFeedback) {
|
|
return compileModuleOrSource<mlir::ModuleOp>(
|
|
this, module, outputDirPath, runtimeLibraryPath, generateSharedLib,
|
|
generateStaticLib, generateClientParameters, generateCompilationFeedback);
|
|
}
|
|
|
|
/// Returns the path of the shared library
|
|
std::string
|
|
CompilerEngine::Library::getSharedLibraryPath(std::string outputDirPath) {
|
|
llvm::SmallString<0> sharedLibraryPath(outputDirPath);
|
|
llvm::sys::path::append(sharedLibraryPath, "sharedlib" + DOT_SHARED_LIB_EXT);
|
|
return sharedLibraryPath.str().str();
|
|
}
|
|
|
|
/// Returns the path of the static library
|
|
std::string
|
|
CompilerEngine::Library::getStaticLibraryPath(std::string outputDirPath) {
|
|
llvm::SmallString<0> staticLibraryPath(outputDirPath);
|
|
llvm::sys::path::append(staticLibraryPath, "staticlib" + DOT_STATIC_LIB_EXT);
|
|
return staticLibraryPath.str().str();
|
|
}
|
|
|
|
/// Returns the path of the client parameter
|
|
std::string
|
|
CompilerEngine::Library::getProgramInfoPath(std::string outputDirPath) {
|
|
llvm::SmallString<0> programInfoPath(outputDirPath);
|
|
llvm::sys::path::append(programInfoPath, "program_info.concrete.params.json");
|
|
return programInfoPath.str().str();
|
|
}
|
|
|
|
/// Returns the path of the compiler feedback
|
|
std::string
|
|
CompilerEngine::Library::getCompilationFeedbackPath(std::string outputDirPath) {
|
|
llvm::SmallString<0> compilationFeedbackPath(outputDirPath);
|
|
llvm::sys::path::append(compilationFeedbackPath, "compilation_feedback.json");
|
|
return compilationFeedbackPath.str().str();
|
|
}
|
|
|
|
const std::string CompilerEngine::Library::OBJECT_EXT = ".o";
|
|
const std::string CompilerEngine::Library::LINKER = "ld";
|
|
#ifdef __APPLE__
|
|
// We need to tell the linker that some symbols will be missing during
|
|
// linking, this symbols should be available during runtime however.
|
|
// Starting from Mac 11 (Big Sur), it appears we need to add -L
|
|
// /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/lib -lSystem for
|
|
// the sharedlib to link properly.
|
|
const std::string CompilerEngine::Library::LINKER_SHARED_OPT =
|
|
" -dylib -undefined dynamic_lookup -L "
|
|
"/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/lib -lSystem "
|
|
"-o ";
|
|
const std::string CompilerEngine::Library::DOT_SHARED_LIB_EXT = ".dylib";
|
|
#else // Linux
|
|
const std::string CompilerEngine::Library::LINKER_SHARED_OPT = " --shared -o ";
|
|
const std::string CompilerEngine::Library::DOT_SHARED_LIB_EXT = ".so";
|
|
#endif
|
|
const std::string CompilerEngine::Library::AR = "ar";
|
|
const std::string CompilerEngine::Library::AR_STATIC_OPT = " rcs ";
|
|
const std::string CompilerEngine::Library::DOT_STATIC_LIB_EXT = ".a";
|
|
|
|
void CompilerEngine::Library::addExtraObjectFilePath(std::string path) {
|
|
objectsPath.push_back(path);
|
|
}
|
|
|
|
Message<concreteprotocol::ProgramInfo>
|
|
CompilerEngine::Library::getProgramInfo() const {
|
|
return programInfo;
|
|
}
|
|
|
|
const std::string &CompilerEngine::Library::getOutputDirPath() const {
|
|
return outputDirPath;
|
|
}
|
|
|
|
llvm::Expected<std::string> CompilerEngine::Library::emitProgramInfoJSON() {
|
|
auto programInfoPath = getProgramInfoPath(outputDirPath);
|
|
std::error_code error;
|
|
llvm::raw_fd_ostream out(programInfoPath, error);
|
|
auto maybeJson = programInfo.writeJsonToString();
|
|
if (maybeJson.has_failure()) {
|
|
return StreamStringError(maybeJson.as_failure().error().mesg);
|
|
}
|
|
auto json = maybeJson.value();
|
|
out << json;
|
|
out.close();
|
|
|
|
return programInfoPath;
|
|
}
|
|
|
|
llvm::Expected<std::string>
|
|
CompilerEngine::Library::emitCompilationFeedbackJSON() {
|
|
auto path = getCompilationFeedbackPath(outputDirPath);
|
|
llvm::json::Value value(compilationFeedback);
|
|
std::error_code error;
|
|
llvm::raw_fd_ostream out(path, error);
|
|
|
|
if (error) {
|
|
return StreamStringError("cannot emit client parameters, error: ")
|
|
<< error.message();
|
|
}
|
|
out << llvm::formatv("{0:2}", value);
|
|
out.close();
|
|
|
|
return path;
|
|
}
|
|
|
|
llvm::Expected<std::string>
|
|
CompilerEngine::Library::setCompilationResult(CompilationResult &compilation) {
|
|
llvm::Module *module = compilation.llvmModule.get();
|
|
auto sourceName = module->getSourceFileName();
|
|
if (sourceName == "" || sourceName == "LLVMDialectModule") {
|
|
sourceName = this->outputDirPath + "/program.module-" +
|
|
std::to_string(objectsPath.size()) + ".mlir";
|
|
}
|
|
auto objectPath = sourceName + OBJECT_EXT;
|
|
if (auto error = mlir::concretelang::emitObject(*module, objectPath)) {
|
|
return std::move(error);
|
|
}
|
|
|
|
addExtraObjectFilePath(objectPath);
|
|
if (compilation.programInfo) {
|
|
programInfo = *compilation.programInfo;
|
|
}
|
|
if (compilation.feedback.has_value()) {
|
|
compilationFeedback = compilation.feedback.value();
|
|
}
|
|
return objectPath;
|
|
}
|
|
|
|
bool stringEndsWith(std::string path, std::string requiredExt) {
|
|
return path.substr(path.size() - requiredExt.size()) == requiredExt;
|
|
}
|
|
|
|
std::string removeDotExt(std::string path, std::string dotExt) {
|
|
return (stringEndsWith(path, dotExt))
|
|
? path.substr(0, path.size() - dotExt.size())
|
|
: path;
|
|
}
|
|
|
|
std::string ensureLibDotExt(std::string path, std::string dotExt) {
|
|
path = removeDotExt(path, CompilerEngine::Library::DOT_STATIC_LIB_EXT);
|
|
path = removeDotExt(path, CompilerEngine::Library::DOT_SHARED_LIB_EXT);
|
|
return path + dotExt;
|
|
}
|
|
|
|
llvm::Expected<std::string> CompilerEngine::Library::emit(
|
|
std::string path, std::string dotExt, std::string linker,
|
|
std::optional<std::vector<std::string>> extraArgs) {
|
|
auto pathDotExt = ensureLibDotExt(path, dotExt);
|
|
auto error = mlir::concretelang::emitLibrary(objectsPath, pathDotExt, linker,
|
|
extraArgs);
|
|
if (error) {
|
|
return std::move(error);
|
|
}
|
|
return pathDotExt;
|
|
}
|
|
|
|
llvm::Expected<std::string> CompilerEngine::Library::emitShared() {
|
|
std::vector<std::string> extraArgs;
|
|
std::string fullRuntimeLibraryName = "";
|
|
#ifdef __APPLE__
|
|
// to issue the command for fixing the runtime dependency of the generated
|
|
// lib
|
|
bool fixRuntimeDep = false;
|
|
#endif
|
|
if (!runtimeLibraryPath.empty()) {
|
|
// Getting the parent dir should work on Linux and Mac
|
|
std::size_t rpathLastPos = runtimeLibraryPath.find_last_of("/");
|
|
std::string rpath = "";
|
|
std::string runtimeLibraryName = "";
|
|
if (rpathLastPos != std::string::npos) {
|
|
rpath = runtimeLibraryPath.substr(0, rpathLastPos);
|
|
fullRuntimeLibraryName = runtimeLibraryPath.substr(
|
|
rpathLastPos + 1, runtimeLibraryPath.length());
|
|
// runtimeLibraryName is part of fullRuntimeLibraryName =
|
|
// lib(runtimeLibraryName).dylib
|
|
runtimeLibraryName =
|
|
removeDotExt(fullRuntimeLibraryName, DOT_SHARED_LIB_EXT);
|
|
if (runtimeLibraryName.rfind("lib", 0) == 0) { // starts with lib
|
|
runtimeLibraryName =
|
|
runtimeLibraryName.substr(3, runtimeLibraryName.length());
|
|
}
|
|
}
|
|
#ifdef __APPLE__
|
|
if (!rpath.empty() && !runtimeLibraryName.empty()) {
|
|
fixRuntimeDep = true;
|
|
extraArgs.push_back("-l" + runtimeLibraryName);
|
|
extraArgs.push_back("-L" + rpath);
|
|
extraArgs.push_back("-rpath " + rpath);
|
|
}
|
|
#else // Linux
|
|
extraArgs.push_back(runtimeLibraryPath);
|
|
if (!rpath.empty()) {
|
|
extraArgs.push_back("-rpath=" + rpath);
|
|
// Use RPATH instead of RUNPATH for transitive dependencies
|
|
extraArgs.push_back("--disable-new-dtags");
|
|
}
|
|
#endif
|
|
}
|
|
auto path = emit(getSharedLibraryPath(outputDirPath), DOT_SHARED_LIB_EXT,
|
|
LINKER + LINKER_SHARED_OPT, extraArgs);
|
|
if (path) {
|
|
sharedLibraryPath = path.get();
|
|
#ifdef __APPLE__
|
|
// when dellocate is used to include dependencies in python wheels, the
|
|
// runtime library will have an id that is prefixed with /DLC, and that
|
|
// path doesn't exist. So when generated libraries won't be able to find
|
|
// it during load time. To solve this, we change the dep in the generated
|
|
// library to be relative to the rpath which should be set correctly
|
|
// during linking. This shouldn't have an impact when
|
|
// /DLC/concrete/.dylibs/* isn't a dependecy in the first place (when not
|
|
// using python).
|
|
if (fixRuntimeDep) {
|
|
std::string fixRuntimeDepCmd = "install_name_tool -change "
|
|
"/DLC/concrete/.dylibs/" +
|
|
fullRuntimeLibraryName + " @rpath/" +
|
|
fullRuntimeLibraryName + " " +
|
|
sharedLibraryPath;
|
|
auto error = mlir::concretelang::callCmd(fixRuntimeDepCmd);
|
|
if (error) {
|
|
return std::move(error);
|
|
}
|
|
}
|
|
#endif
|
|
}
|
|
|
|
return path;
|
|
}
|
|
|
|
llvm::Expected<std::string> CompilerEngine::Library::emitStatic() {
|
|
auto path = emit(getStaticLibraryPath(outputDirPath), DOT_STATIC_LIB_EXT,
|
|
AR + AR_STATIC_OPT);
|
|
if (path) {
|
|
staticLibraryPath = path.get();
|
|
}
|
|
return path;
|
|
}
|
|
|
|
llvm::Error CompilerEngine::Library::emitArtifacts(bool sharedLib,
|
|
bool staticLib,
|
|
bool clientParameters,
|
|
bool compilationFeedback) {
|
|
// Create output directory if doesn't exist
|
|
llvm::sys::fs::create_directory(outputDirPath);
|
|
if (sharedLib) {
|
|
if (auto err = emitShared().takeError()) {
|
|
return err;
|
|
}
|
|
}
|
|
if (staticLib) {
|
|
if (auto err = emitStatic().takeError()) {
|
|
return err;
|
|
}
|
|
}
|
|
if (clientParameters) {
|
|
if (auto err = emitProgramInfoJSON().takeError()) {
|
|
return err;
|
|
}
|
|
}
|
|
if (compilationFeedback) {
|
|
if (auto err = emitCompilationFeedbackJSON().takeError()) {
|
|
return err;
|
|
}
|
|
}
|
|
return llvm::Error::success();
|
|
}
|
|
|
|
CompilerEngine::Library::~Library() {
|
|
if (cleanUp) {
|
|
for (auto path : objectsPath) {
|
|
remove(path.c_str());
|
|
}
|
|
}
|
|
}
|
|
|
|
} // namespace concretelang
|
|
} // namespace mlir
|