The existing approach to translation to the LLVM IR relies on a single translation supporting the base LLVM dialect, extensible through inheritance to support intrinsic-based dialects also derived from LLVM IR such as NVVM and AVX512. This approach does not scale well as it requires additional translations to be created for each new intrinsic-based dialect and does not allow them to mix in the same module, contrary to the rest of the MLIR infrastructure. Furthermore, OpenMP translation ingrained itself into the main translation mechanism. Start refactoring the translation to LLVM IR to operate using dialect interfaces. Each dialect that contains ops translatable to LLVM IR can implement the interface for translating them, and the top-level translation driver can operate on interfaces without knowing about specific dialects. Furthermore, the delayed dialect registration mechanism allows one to avoid a dependency on LLVM IR in the dialect that is translated to it by implementing the translation as a separate library and only registering it at the client level. This change introduces the new mechanism and factors out the translation of the "main" LLVM dialect. The remaining dialects will follow suit. Reviewed By: nicolasvasilache Differential Revision: https://reviews.llvm.org/D96503
268 lines
8.6 KiB
C++
268 lines
8.6 KiB
C++
//===- Invoke.cpp ------------------------------------*- C++ -*-===//
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//
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// This file is licensed under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Conversion/LinalgToLLVM/LinalgToLLVM.h"
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#include "mlir/Conversion/StandardToLLVM/ConvertStandardToLLVMPass.h"
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#include "mlir/Conversion/VectorToLLVM/ConvertVectorToLLVM.h"
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#include "mlir/Conversion/VectorToSCF/VectorToSCF.h"
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#include "mlir/Dialect/Linalg/Passes.h"
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#include "mlir/ExecutionEngine/CRunnerUtils.h"
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#include "mlir/ExecutionEngine/ExecutionEngine.h"
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#include "mlir/ExecutionEngine/MemRefUtils.h"
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#include "mlir/ExecutionEngine/RunnerUtils.h"
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#include "mlir/IR/MLIRContext.h"
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#include "mlir/InitAllDialects.h"
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#include "mlir/Parser.h"
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#include "mlir/Pass/PassManager.h"
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#include "mlir/Target/LLVMIR.h"
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#include "llvm/Support/TargetSelect.h"
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#include "llvm/Support/raw_ostream.h"
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#include "gmock/gmock.h"
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using namespace mlir;
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static struct LLVMInitializer {
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LLVMInitializer() {
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llvm::InitializeNativeTarget();
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llvm::InitializeNativeTargetAsmPrinter();
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}
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} initializer;
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/// Simple conversion pipeline for the purpose of testing sources written in
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/// dialects lowering to LLVM Dialect.
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static LogicalResult lowerToLLVMDialect(ModuleOp module) {
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PassManager pm(module.getContext());
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pm.addPass(mlir::createLowerToLLVMPass());
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return pm.run(module);
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}
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// The JIT isn't supported on Windows at that time
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#ifndef _WIN32
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TEST(MLIRExecutionEngine, AddInteger) {
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std::string moduleStr = R"mlir(
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func @foo(%arg0 : i32) -> i32 attributes { llvm.emit_c_interface } {
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%res = std.addi %arg0, %arg0 : i32
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return %res : i32
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}
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)mlir";
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DialectRegistry registry;
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registerAllDialects(registry);
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registerLLVMDialectTranslation(registry);
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MLIRContext context(registry);
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OwningModuleRef module = parseSourceString(moduleStr, &context);
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ASSERT_TRUE(!!module);
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ASSERT_TRUE(succeeded(lowerToLLVMDialect(*module)));
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auto jitOrError = ExecutionEngine::create(*module);
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ASSERT_TRUE(!!jitOrError);
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std::unique_ptr<ExecutionEngine> jit = std::move(jitOrError.get());
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// The result of the function must be passed as output argument.
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int result = 0;
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llvm::Error error =
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jit->invoke("foo", 42, ExecutionEngine::Result<int>(result));
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ASSERT_TRUE(!error);
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ASSERT_EQ(result, 42 + 42);
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}
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TEST(MLIRExecutionEngine, SubtractFloat) {
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std::string moduleStr = R"mlir(
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func @foo(%arg0 : f32, %arg1 : f32) -> f32 attributes { llvm.emit_c_interface } {
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%res = std.subf %arg0, %arg1 : f32
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return %res : f32
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}
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)mlir";
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DialectRegistry registry;
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registerAllDialects(registry);
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registerLLVMDialectTranslation(registry);
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MLIRContext context(registry);
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OwningModuleRef module = parseSourceString(moduleStr, &context);
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ASSERT_TRUE(!!module);
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ASSERT_TRUE(succeeded(lowerToLLVMDialect(*module)));
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auto jitOrError = ExecutionEngine::create(*module);
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ASSERT_TRUE(!!jitOrError);
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std::unique_ptr<ExecutionEngine> jit = std::move(jitOrError.get());
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// The result of the function must be passed as output argument.
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float result = -1;
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llvm::Error error =
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jit->invoke("foo", 43.0f, 1.0f, ExecutionEngine::result(result));
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ASSERT_TRUE(!error);
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ASSERT_EQ(result, 42.f);
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}
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TEST(NativeMemRefJit, ZeroRankMemref) {
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OwningMemRef<float, 0> A({});
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A[{}] = 42.;
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ASSERT_EQ(*A->data, 42);
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A[{}] = 0;
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std::string moduleStr = R"mlir(
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func @zero_ranked(%arg0 : memref<f32>) attributes { llvm.emit_c_interface } {
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%cst42 = constant 42.0 : f32
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store %cst42, %arg0[] : memref<f32>
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return
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}
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)mlir";
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DialectRegistry registry;
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registerAllDialects(registry);
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registerLLVMDialectTranslation(registry);
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MLIRContext context(registry);
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auto module = parseSourceString(moduleStr, &context);
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ASSERT_TRUE(!!module);
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ASSERT_TRUE(succeeded(lowerToLLVMDialect(*module)));
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auto jitOrError = ExecutionEngine::create(*module);
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ASSERT_TRUE(!!jitOrError);
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auto jit = std::move(jitOrError.get());
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llvm::Error error = jit->invoke("zero_ranked", &*A);
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ASSERT_TRUE(!error);
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EXPECT_EQ((A[{}]), 42.);
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for (float &elt : *A)
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EXPECT_EQ(&elt, &(A[{}]));
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}
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TEST(NativeMemRefJit, RankOneMemref) {
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int64_t shape[] = {9};
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OwningMemRef<float, 1> A(shape);
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int count = 1;
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for (float &elt : *A) {
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EXPECT_EQ(&elt, &(A[{count - 1}]));
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elt = count++;
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}
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std::string moduleStr = R"mlir(
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func @one_ranked(%arg0 : memref<?xf32>) attributes { llvm.emit_c_interface } {
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%cst42 = constant 42.0 : f32
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%cst5 = constant 5 : index
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store %cst42, %arg0[%cst5] : memref<?xf32>
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return
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}
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)mlir";
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DialectRegistry registry;
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registerAllDialects(registry);
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registerLLVMDialectTranslation(registry);
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MLIRContext context(registry);
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auto module = parseSourceString(moduleStr, &context);
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ASSERT_TRUE(!!module);
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ASSERT_TRUE(succeeded(lowerToLLVMDialect(*module)));
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auto jitOrError = ExecutionEngine::create(*module);
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ASSERT_TRUE(!!jitOrError);
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auto jit = std::move(jitOrError.get());
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llvm::Error error = jit->invoke("one_ranked", &*A);
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ASSERT_TRUE(!error);
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count = 1;
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for (float &elt : *A) {
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if (count == 6)
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EXPECT_EQ(elt, 42.);
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else
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EXPECT_EQ(elt, count);
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count++;
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}
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}
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TEST(NativeMemRefJit, BasicMemref) {
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constexpr int K = 3;
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constexpr int M = 7;
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// Prepare arguments beforehand.
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auto init = [=](float &elt, ArrayRef<int64_t> indices) {
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assert(indices.size() == 2);
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elt = M * indices[0] + indices[1];
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};
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int64_t shape[] = {K, M};
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int64_t shapeAlloc[] = {K + 1, M + 1};
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OwningMemRef<float, 2> A(shape, shapeAlloc, init);
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ASSERT_EQ(A->sizes[0], K);
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ASSERT_EQ(A->sizes[1], M);
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ASSERT_EQ(A->strides[0], M + 1);
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ASSERT_EQ(A->strides[1], 1);
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for (int i = 0; i < K; ++i) {
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for (int j = 0; j < M; ++j) {
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EXPECT_EQ((A[{i, j}]), i * M + j);
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EXPECT_EQ(&(A[{i, j}]), &((*A)[i][j]));
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}
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}
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std::string moduleStr = R"mlir(
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func @rank2_memref(%arg0 : memref<?x?xf32>, %arg1 : memref<?x?xf32>) attributes { llvm.emit_c_interface } {
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%x = constant 2 : index
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%y = constant 1 : index
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%cst42 = constant 42.0 : f32
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store %cst42, %arg0[%y, %x] : memref<?x?xf32>
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store %cst42, %arg1[%x, %y] : memref<?x?xf32>
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return
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}
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)mlir";
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DialectRegistry registry;
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registerAllDialects(registry);
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registerLLVMDialectTranslation(registry);
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MLIRContext context(registry);
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OwningModuleRef module = parseSourceString(moduleStr, &context);
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ASSERT_TRUE(!!module);
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ASSERT_TRUE(succeeded(lowerToLLVMDialect(*module)));
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auto jitOrError = ExecutionEngine::create(*module);
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ASSERT_TRUE(!!jitOrError);
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std::unique_ptr<ExecutionEngine> jit = std::move(jitOrError.get());
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llvm::Error error = jit->invoke("rank2_memref", &*A, &*A);
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ASSERT_TRUE(!error);
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EXPECT_EQ(((*A)[1][2]), 42.);
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EXPECT_EQ((A[{2, 1}]), 42.);
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}
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// A helper function that will be called from the JIT
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static void memref_multiply(::StridedMemRefType<float, 2> *memref,
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int32_t coefficient) {
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for (float &elt : *memref)
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elt *= coefficient;
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}
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TEST(NativeMemRefJit, JITCallback) {
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constexpr int K = 2;
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constexpr int M = 2;
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int64_t shape[] = {K, M};
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int64_t shapeAlloc[] = {K + 1, M + 1};
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OwningMemRef<float, 2> A(shape, shapeAlloc);
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int count = 1;
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for (float &elt : *A)
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elt = count++;
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std::string moduleStr = R"mlir(
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func private @callback(%arg0: memref<?x?xf32>, %coefficient: i32) attributes { llvm.emit_c_interface }
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func @caller_for_callback(%arg0: memref<?x?xf32>, %coefficient: i32) attributes { llvm.emit_c_interface } {
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%unranked = memref_cast %arg0: memref<?x?xf32> to memref<*xf32>
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call @callback(%arg0, %coefficient) : (memref<?x?xf32>, i32) -> ()
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return
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}
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)mlir";
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DialectRegistry registry;
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registerAllDialects(registry);
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registerLLVMDialectTranslation(registry);
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MLIRContext context(registry);
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auto module = parseSourceString(moduleStr, &context);
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ASSERT_TRUE(!!module);
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ASSERT_TRUE(succeeded(lowerToLLVMDialect(*module)));
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auto jitOrError = ExecutionEngine::create(*module);
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ASSERT_TRUE(!!jitOrError);
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auto jit = std::move(jitOrError.get());
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// Define any extra symbols so they're available at runtime.
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jit->registerSymbols([&](llvm::orc::MangleAndInterner interner) {
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llvm::orc::SymbolMap symbolMap;
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symbolMap[interner("_mlir_ciface_callback")] =
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llvm::JITEvaluatedSymbol::fromPointer(memref_multiply);
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return symbolMap;
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});
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int32_t coefficient = 3.;
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llvm::Error error = jit->invoke("caller_for_callback", &*A, coefficient);
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ASSERT_TRUE(!error);
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count = 1;
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for (float elt : *A)
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ASSERT_EQ(elt, coefficient * count++);
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}
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#endif // _WIN32
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