Files
clang-p2996/openmp/libomptarget/plugins-nextgen/common/PluginInterface/JIT.h
Johannes Doerfert d9415cd024 [OpenMP][JIT] Introduce more debugging configuration options
The JIT is a great debugging tool since we can modify the IR manually
before launching it in an existing test case. The new flasks allow to
skip optimizations, to use the exact given IR, as well as to provide a
finished object file. The latter is useful to try out different backend
options and to have complete freedom with pass pipelines.

Documentation is included. Minimal refactoring was performed to make the
second object fit in nicely.
2023-01-15 11:44:10 -08:00

128 lines
4.5 KiB
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//===- JIT.h - Target independent JIT infrastructure ----------------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
//===----------------------------------------------------------------------===//
#ifndef OPENMP_LIBOMPTARGET_PLUGINS_NEXTGEN_COMMON_JIT_H
#define OPENMP_LIBOMPTARGET_PLUGINS_NEXTGEN_COMMON_JIT_H
#include "Utilities.h"
#include "llvm/ADT/StringMap.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/ADT/Triple.h"
#include "llvm/Analysis/TargetLibraryInfo.h"
#include "llvm/IR/LLVMContext.h"
#include "llvm/IR/Module.h"
#include "llvm/Support/Error.h"
#include "llvm/Target/TargetMachine.h"
#include <functional>
#include <memory>
#include <shared_mutex>
#include <string>
struct __tgt_device_image;
namespace llvm {
class MemoryBuffer;
namespace omp {
namespace target {
namespace plugin {
struct GenericDeviceTy;
} // namespace plugin
/// The JIT infrastructure and caching mechanism.
struct JITEngine {
/// Function type for a callback that will be called after the backend is
/// called.
using PostProcessingFn =
std::function<Expected<std::unique_ptr<MemoryBuffer>>(
std::unique_ptr<MemoryBuffer>)>;
JITEngine(Triple::ArchType TA);
/// Run jit compilation if \p Image is a bitcode image, otherwise simply
/// return \p Image. It is expected to return a memory buffer containing the
/// generated device image that could be loaded to the device directly.
Expected<const __tgt_device_image *>
process(const __tgt_device_image &Image,
target::plugin::GenericDeviceTy &Device);
/// Return true if \p Image is a bitcode image that can be JITed for the given
/// architecture.
bool checkBitcodeImage(const __tgt_device_image &Image);
private:
/// Compile the bitcode image \p Image and generate the binary image that can
/// be loaded to the target device of the triple \p Triple architecture \p
/// MCpu. \p PostProcessing will be called after codegen to handle cases such
/// as assember as an external tool.
Expected<const __tgt_device_image *>
compile(const __tgt_device_image &Image, const std::string &ComputeUnitKind,
PostProcessingFn PostProcessing);
/// Create or retrieve the object image file from the file system or via
/// compilation of the \p Image.
Expected<std::unique_ptr<MemoryBuffer>>
getOrCreateObjFile(const __tgt_device_image &Image, LLVMContext &Ctx,
const std::string &ComputeUnitKind);
/// Run backend, which contains optimization and code generation.
Expected<std::unique_ptr<MemoryBuffer>>
backend(Module &M, const std::string &ComputeUnitKind, unsigned OptLevel);
/// Run optimization pipeline.
void opt(TargetMachine *TM, TargetLibraryInfoImpl *TLII, Module &M,
unsigned OptLevel);
/// Run code generation.
void codegen(TargetMachine *TM, TargetLibraryInfoImpl *TLII, Module &M,
raw_pwrite_stream &OS);
/// The target triple used by the JIT.
const Triple TT;
struct ComputeUnitInfo {
/// LLVM Context in which the modules will be constructed.
LLVMContext Context;
/// Output images generated from LLVM backend.
SmallVector<std::unique_ptr<MemoryBuffer>, 4> JITImages;
/// A map of embedded IR images to JITed images.
DenseMap<const __tgt_device_image *, __tgt_device_image *> TgtImageMap;
};
/// Map from (march) "CPUs" (e.g., sm_80, or gfx90a), which we call compute
/// units as they are not CPUs, to the image information we cached for them.
StringMap<ComputeUnitInfo> ComputeUnitMap;
std::mutex ComputeUnitMapMutex;
/// Control environment variables.
target::StringEnvar ReplacementObjectFileName =
target::StringEnvar("LIBOMPTARGET_JIT_REPLACEMENT_OBJECT");
target::StringEnvar ReplacementModuleFileName =
target::StringEnvar("LIBOMPTARGET_JIT_REPLACEMENT_MODULE");
target::StringEnvar PreOptIRModuleFileName =
target::StringEnvar("LIBOMPTARGET_JIT_PRE_OPT_IR_MODULE");
target::StringEnvar PostOptIRModuleFileName =
target::StringEnvar("LIBOMPTARGET_JIT_POST_OPT_IR_MODULE");
target::UInt32Envar JITOptLevel =
target::UInt32Envar("LIBOMPTARGET_JIT_OPT_LEVEL", 3);
target::BoolEnvar JITSkipOpt =
target::BoolEnvar("LIBOMPTARGET_JIT_SKIP_OPT", false);
};
} // namespace target
} // namespace omp
} // namespace llvm
#endif // OPENMP_LIBOMPTARGET_PLUGINS_NEXTGEN_COMMON_JIT_H