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This commit rebases the compiler onto commit f69328049e9e from llvm-project. Changes: * Use of the one-shot bufferizer for improved memory management * A new pass `OneShotBufferizeDPSWrapper` that converts functions returning tensors to destination-passing-style as required by the one-shot bufferizer * A new pass `LinalgGenericOpWithTensorsToLoopsPass` that converts `linalg.generic` operations with value semantics to loop nests * Rebase onto a fork of llvm-project at f69328049e9e with local modifications to enable bufferization of `linalg.generic` operations with value semantics * Workaround for the absence of type propagation after type conversion via extra patterns in all dialect conversion passes * Printer, parser and verifier definitions moved from inline declarations in ODS to the respective source files as required by upstream changes * New tests for functions with a large number of inputs * Increase the number of allowed task inputs as required by new tests * Use upstream function `mlir_configure_python_dev_packages()` to locate Python development files for compatibility with various CMake versions Co-authored-by: Quentin Bourgerie <quentin.bourgerie@zama.ai> Co-authored-by: Ayoub Benaissa <ayoub.benaissa@zama.ai> Co-authored-by: Antoniu Pop <antoniu.pop@zama.ai>
169 lines
5.7 KiB
C++
169 lines
5.7 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/IR/Region.h"
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#include "mlir/IR/TypeUtilities.h"
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#include "concretelang/Dialect/FHE/IR/FHEOps.h"
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#include "concretelang/Dialect/FHE/IR/FHETypes.h"
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namespace mlir {
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namespace concretelang {
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namespace FHE {
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bool verifyEncryptedIntegerInputAndResultConsistency(
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::mlir::Operation &op, EncryptedIntegerType &input,
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EncryptedIntegerType &result) {
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if (input.getWidth() != result.getWidth()) {
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op.emitOpError(
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" should have the width of encrypted inputs and result equals");
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return false;
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}
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return true;
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}
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bool verifyEncryptedIntegerAndIntegerInputsConsistency(::mlir::Operation &op,
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EncryptedIntegerType &a,
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IntegerType &b) {
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if (a.getWidth() + 1 != b.getWidth()) {
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op.emitOpError(" should have the width of plain input equals to width of "
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"encrypted input + 1");
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return false;
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}
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return true;
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}
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bool verifyEncryptedIntegerInputsConsistency(::mlir::Operation &op,
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EncryptedIntegerType &a,
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EncryptedIntegerType &b) {
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if (a.getWidth() != b.getWidth()) {
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op.emitOpError(" should have the width of encrypted inputs equals");
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return false;
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}
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return true;
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}
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::mlir::LogicalResult AddEintIntOp::verify() {
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auto a = this->a().getType().cast<EncryptedIntegerType>();
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auto b = this->b().getType().cast<IntegerType>();
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auto out = this->getResult().getType().cast<EncryptedIntegerType>();
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if (!verifyEncryptedIntegerInputAndResultConsistency(*this->getOperation(), a,
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out)) {
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return ::mlir::failure();
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}
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if (!verifyEncryptedIntegerAndIntegerInputsConsistency(*this->getOperation(),
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a, b)) {
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return ::mlir::failure();
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}
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return ::mlir::success();
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}
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::mlir::LogicalResult AddEintOp::verify() {
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auto a = this->a().getType().cast<EncryptedIntegerType>();
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auto b = this->b().getType().cast<EncryptedIntegerType>();
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auto out = this->getResult().getType().cast<EncryptedIntegerType>();
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if (!verifyEncryptedIntegerInputAndResultConsistency(*this->getOperation(), a,
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out)) {
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return ::mlir::failure();
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}
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if (!verifyEncryptedIntegerInputsConsistency(*this->getOperation(), a, b)) {
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return ::mlir::failure();
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}
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return ::mlir::success();
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}
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::mlir::LogicalResult SubIntEintOp::verify() {
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auto a = this->a().getType().cast<IntegerType>();
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auto b = this->b().getType().cast<EncryptedIntegerType>();
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auto out = this->getResult().getType().cast<EncryptedIntegerType>();
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if (!verifyEncryptedIntegerInputAndResultConsistency(*this->getOperation(), b,
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out)) {
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return ::mlir::failure();
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}
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if (!verifyEncryptedIntegerAndIntegerInputsConsistency(*this->getOperation(),
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b, a)) {
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return ::mlir::failure();
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}
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return ::mlir::success();
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}
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::mlir::LogicalResult NegEintOp::verify() {
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auto a = this->a().getType().cast<EncryptedIntegerType>();
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auto out = this->getResult().getType().cast<EncryptedIntegerType>();
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if (!verifyEncryptedIntegerInputAndResultConsistency(*this->getOperation(), a,
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out)) {
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return ::mlir::failure();
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}
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return ::mlir::success();
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}
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::mlir::LogicalResult MulEintIntOp::verify() {
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auto a = this->a().getType().cast<EncryptedIntegerType>();
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auto b = this->b().getType().cast<IntegerType>();
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auto out = this->getResult().getType().cast<EncryptedIntegerType>();
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if (!verifyEncryptedIntegerInputAndResultConsistency(*this->getOperation(), a,
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out)) {
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return ::mlir::failure();
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}
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if (!verifyEncryptedIntegerAndIntegerInputsConsistency(*this->getOperation(),
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a, b)) {
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return ::mlir::failure();
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}
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return ::mlir::success();
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}
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::mlir::LogicalResult ApplyLookupTableEintOp::verify() {
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auto ct = this->a().getType().cast<EncryptedIntegerType>();
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auto lut = this->lut().getType().cast<TensorType>();
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// Check the shape of lut argument
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auto width = ct.getWidth();
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auto expectedSize = 1 << width;
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mlir::SmallVector<int64_t, 1> expectedShape{expectedSize};
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if (!lut.hasStaticShape(expectedShape)) {
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emitErrorBadLutSize(*this, "lut", "ct", expectedSize, width);
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return mlir::failure();
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}
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if (!lut.getElementType().isInteger(64)) {
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this->emitOpError() << "should have the i64 constant";
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return mlir::failure();
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}
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return mlir::success();
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}
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// Avoid addition with constant 0
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OpFoldResult AddEintIntOp::fold(ArrayRef<Attribute> operands) {
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assert(operands.size() == 2);
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auto toAdd = operands[1].dyn_cast_or_null<mlir::IntegerAttr>();
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if (toAdd != nullptr) {
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auto intToAdd = toAdd.getInt();
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if (intToAdd == 0) {
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return getOperand(0);
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}
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}
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return nullptr;
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}
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// Avoid multiplication with constant 1
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OpFoldResult MulEintIntOp::fold(ArrayRef<Attribute> operands) {
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assert(operands.size() == 2);
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auto toMul = operands[1].dyn_cast_or_null<mlir::IntegerAttr>();
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if (toMul != nullptr) {
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auto intToMul = toMul.getInt();
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if (intToMul == 1) {
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return getOperand(0);
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}
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}
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return nullptr;
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}
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} // namespace FHE
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} // namespace concretelang
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} // namespace mlir
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#define GET_OP_CLASSES
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#include "concretelang/Dialect/FHE/IR/FHEOps.cpp.inc"
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