This solves a phase ordering problem: OrcV2 remote process support depends on OrcV2 removable code, OrcV2 removable code depends on OrcV1 removal, OrcV1 removal depends on LLJITWithChildProcess migration, and LLJITWithChildProcess migration depends on OrcV2 TargetProcessControl support.
The ThinLtoJIT example was aiming to utilize ThinLTO summaries and concurrency in ORC for speculative compilation. The latter is heavily dependent on asynchronous task scheduling which is probably done better out-of-tree with a mature library like Boost-ASIO. The pure utilization of ThinLTO summaries in ORC is demonstrated in OrcV2Examples/LLJITWithThinLTOSummaries.
Making MaterializationResponsibility instances immovable allows their
associated VModuleKeys to be updated by the ExecutionSession while the
responsibility is still in-flight. This will be used in the upcoming
removable code feature to enable safe merging of resource keys even if
there are active compiles using the keys being merged.
The example demonstrates how to use a module summary index file produced for ThinLTO to:
* find the module that defines the main entry point
* find all extra modules that are required for the build
A LIT test runs the example as part of the LLVM test suite [1] and shows how to create a module summary index file.
The code also provides two Error types that can be useful when working with ThinLTO summaries.
[1] if LLVM_BUILD_EXAMPLES=ON and platform is not Windows
Differential Revision: https://reviews.llvm.org/D85974
This adds RemoteJITLinkMemoryManager is a new subclass of OrcRemoteTargetClient. It implements jitlink::JITLinkMemoryManager and targets the OrcRemoteTargetRPCAPI.
Behavior should be very similar to RemoteRTDyldMemoryManager. The essential differnce with JITLink is that allocations work in isolation from its memory manager. Thus, the RemoteJITLinkMemoryManager might be seen as "JITLink allocation factory".
RPCMMAlloc is another subclass of OrcRemoteTargetClient and implements the actual functionality. It allocates working memory on the host and target memory on the remote target. Upon finalization working memory is copied over to the tagrte address space. Finalization can be asynchronous for JITLink allocations, but I don't see that it makes a difference here.
Differential Revision: https://reviews.llvm.org/D85919
... under the EXPENSIVE_CHECKS build, this fails the assert in the LegacyPM
that verifies whether a pass really did leave the IR alone when it reports no
changes back from its return status.
This patch makes ownership of the JITLinkMemoryManager by ObjectLinkingLayer
optional: the layer can still own the memory manager but no longer has to.
Evevntually we want to move to a state where ObjectLinkingLayer never owns its
memory manager. For now allowing optional ownership makes it easier to develop
classes that can dynamically use either RTDyldObjectLinkingLayer, which owns
its memory managers, or ObjectLinkingLayer (e.g. LLJIT).
TPCDynamicLibrarySearchGenerator uses a TargetProcessControl instance to
load libraries and search for symbol addresses in a target process. It
can be used in place of a DynamicLibrarySearchGenerator to enable
target-process agnostic lookup.
TargetProcessControl is a new API for communicating with JIT target processes.
It supports memory allocation and access, and inspection of some process
properties, e.g. the target proces triple and page size.
Centralizing these APIs allows utilities written against TargetProcessControl
to remain independent of the communication procotol with the target process
(which may be direct memory access/allocation for in-process JITing, or may
involve some form of IPC or RPC).
An initial set of TargetProcessControl-based utilities for lazy compilation is
provided by the TPCIndirectionUtils class.
An initial implementation of TargetProcessControl for in-process JITing
is provided by the SelfTargetProcessControl class.
An example program showing how the APIs can be used is provided in
llvm/examples/OrcV2Examples/LLJITWithTargetProcessControl.
This is D77454, except for stores. All the infrastructure work was done
for loads, so the remaining changes necessary are relatively small.
Differential Revision: https://reviews.llvm.org/D79968
Windows doesn't properly support pass plugins (as a shared library
can't have undefined references, which pass plugins assume, being
loaded into a host process that contains provides them), thus
disable building it and the corresponding test.
This matches what was done for the passes unit test in
bc8e44218810c0db6328b9809c959ceb7d43e3f5.
Differential Revision: https://reviews.llvm.org/D79771
This reverts parts of commit 609ef948387ba40e3693c2bd693d82ca34dcdc02,
as it caused build failures on windows if LLVM_BUILD_EXAMPLES was
enabled, due to Bye being added as a dependency of the lit tests.
Set the right target name in clang/examples/Attribute.
Add a missing dependency in the TableGen GlobalISel sublibrary.
Skip building the Bye pass plugin example on windows; plugins
that should have undefined symbols that are found in the host
process aren't supported on windows - this matches what was done
for a unit test in bc8e44218810c0db6328b9809c959ceb7d43e3f5.
Commit 1e68724d24ba38de7c7cdb2e1939d78c8b37cc0d removed the alignment
argument from the memset intrinsic. Update the BrainF example to match.
Reviewed By: jyknight
Differential Revision: https://reviews.llvm.org/D79601
Calling setProcessAllSections(true) is required to make sure that all sections,
even those not marked as necessary for execution, are passed to the memory
manager.
This should make both static and dynamic NewPM plugins work with LTO.
And as a bonus, it makes static linking of OldPM plugins more reliable
for plugins with both an OldPM and NewPM interface.
I only implemented the command-line flag to specify NewPM plugins in
llvm-lto2, to show it works. Support can be added for other tools later.
Differential Revision: https://reviews.llvm.org/D76866
Adds basic support for LLJITBuilder and DynamicLibrarySearchGenerator. This
allows C API clients to configure LLJIT to expose process symbols to JIT'd
code. An example of this is added in
llvm/examples/OrcV2CBindingsReflectProcessSymbols.
Updates the object buffer ownership scheme in jitLinkForOrc and related
functions: Ownership of both the object::ObjectFile and underlying
MemoryBuffer is passed into jitLinkForOrc and passed back to the onEmit
callback once linking is complete. This avoids the use-after-free errors
that were seen in 98f2bb44610.
Enable use of ExecutionEngine JITEventListeners in RTDyldObjectLinkingLayer.
This allows existing MCJIT clients to more easily migrate to LLJIT / ORCv2.
Example usage in llvm/examples/OrcV2Examples/LLJITWithGDBRegistrationListener.
Differential Revision: https://reviews.llvm.org/D75838
Renames the llvm/examples/LLJITExamples directory to llvm/examples/OrcV2Examples
since it is becoming a home for all OrcV2 examples, not just LLJIT.
See http://llvm.org/PR31103.
Initializers and deinitializers are used to implement C++ static constructors
and destructors, runtime registration for some languages (e.g. with the
Objective-C runtime for Objective-C/C++ code) and other tasks that would
typically be performed when a shared-object/dylib is loaded or unloaded by a
statically compiled program.
MCJIT and ORC have historically provided limited support for discovering and
running initializers/deinitializers by scanning the llvm.global_ctors and
llvm.global_dtors variables and recording the functions to be run. This approach
suffers from several drawbacks: (1) It only works for IR inputs, not for object
files (including cached JIT'd objects). (2) It only works for initializers
described by llvm.global_ctors and llvm.global_dtors, however not all
initializers are described in this way (Objective-C, for example, describes
initializers via specially named metadata sections). (3) To make the
initializer/deinitializer functions described by llvm.global_ctors and
llvm.global_dtors searchable they must be promoted to extern linkage, polluting
the JIT symbol table (extra care must be taken to ensure this promotion does
not result in symbol name clashes).
This patch introduces several interdependent changes to ORCv2 to support the
construction of new initialization schemes, and includes an implementation of a
backwards-compatible llvm.global_ctor/llvm.global_dtor scanning scheme, and a
MachO specific scheme that handles Objective-C runtime registration (if the
Objective-C runtime is available) enabling execution of LLVM IR compiled from
Objective-C and Swift.
The major changes included in this patch are:
(1) The MaterializationUnit and MaterializationResponsibility classes are
extended to describe an optional "initializer" symbol for the module (see the
getInitializerSymbol method on each class). The presence or absence of this
symbol indicates whether the module contains any initializers or
deinitializers. The initializer symbol otherwise behaves like any other:
searching for it triggers materialization.
(2) A new Platform interface is introduced in llvm/ExecutionEngine/Orc/Core.h
which provides the following callback interface:
- Error setupJITDylib(JITDylib &JD): Can be used to install standard symbols
in JITDylibs upon creation. E.g. __dso_handle.
- Error notifyAdding(JITDylib &JD, const MaterializationUnit &MU): Generally
used to record initializer symbols.
- Error notifyRemoving(JITDylib &JD, VModuleKey K): Used to notify a platform
that a module is being removed.
Platform implementations can use these callbacks to track outstanding
initializers and implement a platform-specific approach for executing them. For
example, the MachOPlatform installs a plugin in the JIT linker to scan for both
__mod_inits sections (for C++ static constructors) and ObjC metadata sections.
If discovered, these are processed in the usual platform order: Objective-C
registration is carried out first, then static initializers are executed,
ensuring that calls to Objective-C from static initializers will be safe.
This patch updates LLJIT to use the new scheme for initialization. Two
LLJIT::PlatformSupport classes are implemented: A GenericIR platform and a MachO
platform. The GenericIR platform implements a modified version of the previous
llvm.global-ctor scraping scheme to provide support for Windows and
Linux. LLJIT's MachO platform uses the MachOPlatform class to provide MachO
specific initialization as described above.
Reviewers: sgraenitz, dblaikie
Subscribers: mgorny, hiraditya, mgrang, ributzka, llvm-commits
Tags: #llvm
Differential Revision: https://reviews.llvm.org/D74300
