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https://github.com/zama-ai/concrete.git
synced 2026-02-09 03:55:04 -05:00
cleanup(compiler): Remove dead code and usless pass
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@@ -47,12 +47,6 @@ def ConcreteToBConcrete : Pass<"concrete-to-bconcrete", "mlir::ModuleOp"> {
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let dependentDialects = ["mlir::linalg::LinalgDialect", "mlir::concretelang::Concrete::ConcreteDialect", "mlir::concretelang::BConcrete::BConcreteDialect"];
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}
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def BConcreteToBConcreteCAPI : Pass<"bconcrete-to-bconcrete-c-api", "mlir::ModuleOp"> {
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let summary = "Lower operations from the Bufferized Concrete dialect to std with function call to the Bufferized Concrete C API";
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let constructor = "mlir::concretelang::createConvertBConcreteToBConcreteCAPIPass()";
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let dependentDialects = ["mlir::concretelang::BConcrete::BConcreteDialect", "mlir::func::FuncDialect", "mlir::memref::MemRefDialect"];
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}
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def MLIRLowerableDialectsToLLVM : Pass<"mlir-lowerable-dialects-to-llvm", "mlir::ModuleOp"> {
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let summary = "Lowers operations from MLIR lowerable dialects to LLVM";
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let constructor = "mlir::concretelang::createConvertMLIRLowerableDialectsToLLVMPass()";
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@@ -1,5 +1,5 @@
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set(LLVM_TARGET_DEFINITIONS Bufferize.td)
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mlir_tablegen(Bufferize.h.inc -gen-pass-decls -name Transforms)
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set(LLVM_TARGET_DEFINITIONS Passes.td)
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mlir_tablegen(Passes.h.inc -gen-pass-decls -name Transforms)
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add_public_tablegen_target(ConcretelangTransformsBufferizePassIncGen)
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set(LLVM_TARGET_DEFINITIONS OneShotBufferizeDPSWrapper.td)
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@@ -3,21 +3,19 @@
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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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#ifndef CONCRETELANG_BUFFERIZE_PASS_H
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#define CONCRETELANG_BUFFERIZE_PASS_H
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#ifndef CONCRETELANG_TRANSFORMS_PASS_H
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#define CONCRETELANG_TRANSFORMS_PASS_H
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#include <mlir/Dialect/Func/IR/FuncOps.h>
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#include <mlir/Dialect/MemRef/IR/MemRef.h>
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#include <mlir/Dialect/SCF/SCF.h>
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#include <mlir/IR/BuiltinOps.h>
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#include <mlir/Pass/Pass.h>
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#define GEN_PASS_CLASSES
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#include <concretelang/Transforms/Bufferize.h.inc>
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#include <concretelang/Transforms/Passes.h.inc>
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namespace mlir {
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namespace concretelang {
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std::unique_ptr<mlir::OperationPass<mlir::func::FuncOp>>
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createFinalizingBufferizePass();
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std::unique_ptr<mlir::OperationPass<mlir::ModuleOp>> createForLoopToParallel();
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} // namespace concretelang
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@@ -3,16 +3,6 @@
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include "mlir/Pass/PassBase.td"
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def FinalizingBufferize
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: Pass<"concretelang-bufferize", "::mlir::func::FuncOp"> {
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let summary =
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"Marks FHELinalg operations for tiling using a vector of tile sizes";
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let constructor = "mlir::concretelang::createBufferizePass()";
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let options = [];
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let dependentDialects =
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["mlir::memref::MemRefDialect", "mlir::func::FuncDialect"];
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}
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def ForLoopToParallel : Pass<"for-loop-to-parallel", "mlir::ModuleOp"> {
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let summary =
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"Transform scf.for marked with the custom attribute parallel = true loop "
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@@ -1,75 +0,0 @@
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// 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 "concretelang/Transforms/Bufferize.h"
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#include "mlir/Dialect/Bufferization/Transforms/Bufferize.h"
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#include "mlir/Dialect/MemRef/IR/MemRef.h"
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#include "mlir/IR/Operation.h"
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#include "mlir/Transforms/DialectConversion.h"
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#include "mlir/Transforms/Passes.h"
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using namespace mlir;
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namespace {
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// In a finalizing bufferize conversion, we know that all tensors have been
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// converted to memrefs, thus, this op becomes an identity.
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class BufferizeTensorStoreOp
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: public OpConversionPattern<memref::TensorStoreOp> {
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public:
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using OpConversionPattern::OpConversionPattern;
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LogicalResult
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matchAndRewrite(memref::TensorStoreOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override {
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rewriter.replaceOpWithNewOp<memref::CopyOp>(op, op.tensor(), op.memref());
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return success();
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}
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};
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} // namespace
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void populatePatterns(bufferization::BufferizeTypeConverter &typeConverter,
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RewritePatternSet &patterns) {
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bufferization::populateEliminateBufferizeMaterializationsPatterns(
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typeConverter, patterns);
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patterns.add<BufferizeTensorStoreOp>(typeConverter, patterns.getContext());
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}
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namespace {
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struct FinalizingBufferizePass
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: public FinalizingBufferizeBase<FinalizingBufferizePass> {
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using FinalizingBufferizeBase<
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FinalizingBufferizePass>::FinalizingBufferizeBase;
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void runOnOperation() override {
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auto func = getOperation();
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auto *context = &getContext();
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bufferization::BufferizeTypeConverter typeConverter;
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RewritePatternSet patterns(context);
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ConversionTarget target(*context);
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populatePatterns(typeConverter, patterns);
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// If all result types are legal, and all block arguments are legal (ensured
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// by func conversion above), then all types in the program are legal.
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//
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// We also check that the operand types are legal to avoid creating invalid
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// IR. For example, this prevents
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// populateEliminateBufferizeMaterializationsPatterns from updating the
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// types of the operands to a return op without updating the enclosing
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// function.
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target.markUnknownOpDynamicallyLegal(
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[&](Operation *op) { return typeConverter.isLegal(op); });
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target.addLegalOp<memref::CopyOp>();
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if (failed(applyFullConversion(func, target, std::move(patterns))))
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signalPassFailure();
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}
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};
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} // namespace
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std::unique_ptr<OperationPass<func::FuncOp>>
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mlir::concretelang::createFinalizingBufferizePass() {
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return std::make_unique<FinalizingBufferizePass>();
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}
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@@ -1,5 +1,4 @@
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add_mlir_library(ConcretelangTransforms
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Bufferize.cpp
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OneShotBufferizeDPSWrapper.cpp
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ForLoopToParallel.cpp
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@@ -11,7 +10,7 @@ add_mlir_library(ConcretelangTransforms
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ConcretelangTransformsBufferizePassIncGen
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ConcretelangTransformsOneShotBufferizeDPSWrapperPassIncGen
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mlir-headers
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LINK_LIBS PUBLIC
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MLIRIR
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MLIRMemRef
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@@ -3,7 +3,7 @@
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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 "concretelang/Transforms/Bufferize.h"
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#include "concretelang/Transforms/Passes.h"
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#include "mlir/Dialect/Bufferization/Transforms/Bufferize.h"
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#include "mlir/Dialect/SCF/SCF.h"
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