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This commit rebases the compiler onto commit 465ee9bfb26d from
llvm-project with locally maintained patches on top, i.e.:
* 5d8669d669ee: Fix the element alignment (size) for memrefCopy
* 4239163ea337: fix: Do not fold the memref.subview if the offset are
!= 0 and strides != 1
* 72c5decfcc21: remove github stuff from llvm
* 8d0ce8f9eca1: Support arbitrary element types in named operations
via attributes
* 94f64805c38c: Copy attributes of scf.for on bufferization and make
it an allocation hoisting barrier
Main upstream changes from llvm-project that required modification of
concretecompiler:
* Switch to C++17
* Various changes in the interfaces for linalg named operations
* Transition from `llvm::Optional` to `std::optional`
* Use of enums instead of string values for iterator types in linalg
* Changed default naming convention of getter methods in
ODS-generated operation classes from `some_value()` to
`getSomeValue()`
* Renaming of Arithmetic dialect to Arith
* Refactoring of side effect interfaces (i.e., renaming from
`NoSideEffect` to `Pure`)
* Re-design of the data flow analysis framework
* Refactoring of build targets for Python bindings
* Refactoring of array attributes with integer values
* Renaming of `linalg.init_tensor` to `tensor.empty`
* Emission of `linalg.map` operations in bufferization of the Tensor
dialect requiring another linalg conversion pass and registration
of the bufferization op interfaces for linalg operations
* Refactoring of the one-shot bufferizer
* Necessity to run the expand-strided-metadata, affine-to-std and
finalize-memref-to-llvm passes before converson to the LLVM
dialect
* Renaming of `BlockAndValueMapping` to `IRMapping`
* Changes in the build function of `LLVM::CallOp`
* Refactoring of the construction of `llvm::ArrayRef` and
`llvm::MutableArrayRef` (direct invocation of constructor instead
of builder functions for some cases)
* New naming conventions for generated SSA values requiring rewrite
of some check tests
* Refactoring of `mlir::LLVM::lookupOrCreateMallocFn()`
* Interface changes in generated type parsers
* New dependencies for to mlir_float16_utils and
MLIRSparseTensorRuntime for the runtime
* Overhaul of MLIR-c deleting `mlir-c/Registration.h`
* Deletion of library MLIRLinalgToSPIRV
* Deletion of library MLIRLinalgAnalysis
* Deletion of library MLIRMemRefUtils
* Deletion of library MLIRQuantTransforms
* Deletion of library MLIRVectorToROCDL
90 lines
2.9 KiB
C++
90 lines
2.9 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/Bufferization/IR/Bufferization.h"
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#include "llvm/ADT/STLExtras.h"
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#include "llvm/ADT/SmallVector.h"
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#include "llvm/Support/Debug.h"
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#include <mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h>
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#include <mlir/Dialect/Func/IR/FuncOps.h>
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#include <mlir/IR/BuiltinTypes.h>
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#include <mlir/Transforms/RegionUtils.h>
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#include "concretelang/Dialect/Tracing/IR/TracingDialect.h"
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#include "concretelang/Dialect/Tracing/IR/TracingOps.h"
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using namespace mlir;
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using namespace mlir::bufferization;
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using namespace mlir::concretelang::Tracing;
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namespace {
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template <typename Op>
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struct TrivialBufferizableInterface
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: public BufferizableOpInterface::ExternalModel<
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TrivialBufferizableInterface<Op>, Op> {
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bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand,
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const AnalysisState &state) const {
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return true;
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}
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bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand,
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const AnalysisState &state) const {
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return false;
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}
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AliasingOpResultList getAliasingOpResults(Operation *op, OpOperand &opOperand,
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const AnalysisState &state) const {
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return {};
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}
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BufferRelation bufferRelation(Operation *op, OpResult opResult,
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const AnalysisState &state) const {
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return BufferRelation::Unknown;
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}
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LogicalResult bufferize(Operation *op, RewriterBase &rewriter,
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const BufferizationOptions &options) const {
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mlir::SmallVector<mlir::Value> operands;
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for (auto &operand : op->getOpOperands()) {
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if (!operand.get().getType().isa<mlir::RankedTensorType>()) {
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operands.push_back(operand.get());
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} else {
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operands.push_back(
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*bufferization::getBuffer(rewriter, operand.get(), options));
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}
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}
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rewriter.replaceOpWithNewOp<Op>(op, mlir::TypeRange{}, operands,
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op->getAttrs());
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return success();
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}
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};
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} // namespace
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namespace mlir {
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namespace concretelang {
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namespace Tracing {
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void registerBufferizableOpInterfaceExternalModels(DialectRegistry ®istry) {
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registry.addExtension(+[](MLIRContext *ctx, TracingDialect *dialect) {
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// trace_ciphretext
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Tracing::TraceCiphertextOp::attachInterface<
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TrivialBufferizableInterface<Tracing::TraceCiphertextOp>>(*ctx);
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// trace_plaintext
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Tracing::TracePlaintextOp::attachInterface<
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TrivialBufferizableInterface<Tracing::TracePlaintextOp>>(*ctx);
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// trace_message
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Tracing::TraceMessageOp::attachInterface<
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TrivialBufferizableInterface<Tracing::TraceMessageOp>>(*ctx);
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});
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}
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} // namespace Tracing
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} // namespace concretelang
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} // namespace mlir
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