This makes the target triple, graph name, and full graph content available
when making decisions about how to populate the linker pass pipeline.
Also updates the LLJITWithObjectLinkingLayerPlugin example to show more
API use, including use of the API changes in this patch.
It can be useful for an ObjectLinkingLayerCreator to allow callee errors to get propagated to the builder. Specifically, this is the case when the ObjectLayer uses the EHFrameRegistrationPlugin, because it requires a TPCEHFrameRegistrar and instantiation for it may fail (e.g. if the required registration symbols are missing in the target process).
Reviewed By: lhames
Differential Revision: https://reviews.llvm.org/D94690
No longer rely on an external tool to build the llvm component layout.
Instead, leverage the existing `add_llvm_componentlibrary` cmake function and
introduce `add_llvm_component_group` to accurately describe component behavior.
These function store extra properties in the created targets. These properties
are processed once all components are defined to resolve library dependencies
and produce the header expected by llvm-config.
Differential Revision: https://reviews.llvm.org/D90848
implementation.
This patch aims to improve support for out-of-process JITing using OrcV2. It
introduces two new class templates, OrcRPCTargetProcessControlBase and
OrcRPCTPCServer, which together implement the TargetProcessControl API by
forwarding operations to an execution process via an Orc-RPC Endpoint. These
utilities are used to implement out-of-process JITing from llvm-jitlink to
a new llvm-jitlink-executor tool.
This patch also breaks the OrcJIT library into three parts:
-- OrcTargetProcess: Contains code needed by the JIT execution process.
-- OrcShared: Contains code needed by the JIT execution and compiler
processes
-- OrcJIT: Everything else.
This break-up allows JIT executor processes to link against OrcTargetProcess
and OrcShared only, without having to link in all of OrcJIT. Clients executing
JIT'd code in-process should start linking against OrcTargetProcess as well as
OrcJIT.
In the near future these changes will enable:
-- Removal of the OrcRemoteTargetClient/OrcRemoteTargetServer class templates
which provided similar functionality in OrcV1.
-- Restoration of Chapter 5 of the Building-A-JIT tutorial series, which will
serve as a simple usage example for these APIs.
-- Implementation of lazy, cross-target compilation in lli's -jit-kind=orc-lazy
mode.
This patch breaks Orc.h up into Orc.h, LLJIT.h and OrcEE.h.
Orc.h contain core Orc utilities.
LLJIT.h contains LLJIT specific types and functions.
OrcEE.h contains types and functions that depend on ExecutionEngine.
The intent is that these headers should match future library divisions: Clients
who only use Orc.h should only need to link againt the Orc core libraries,
clients using LLJIT.h will also need to link against LLVM core, and clients
using OrcEE.h will also have to link against ExecutionEngine.
In addition to breaking up the Orc.h header this patch introduces functions to:
(1) Set the object linking layer creation function on LLJITBuilder.
(2) Create an RTDyldObjectLinkingLayer instance (particularly for use in (1)).
(3) Register JITEventListeners with an RTDyldObjectLinkingLayer.
Together (1), (2) and (3) can be used to force use of RTDyldObjectLinkingLayer
as the underlying JIT linker for LLJIT, rather than the platform default, and
to register event listeners with the RTDyldObjectLinkingLayer.
This patch updates the Kaleidoscope and BuildingAJIT tutorial series (chapter
1-4) to OrcV2. Chapter 5 of the BuildingAJIT series is removed -- it will be
re-instated once we have in-tree support for out-of-process JITing.
This patch only updates the tutorial code, not the text. Patches welcome for
that, otherwise I will try to update it in a few weeks.
This patch introduces new APIs to support resource tracking and removal in Orc.
It is intended as a thread-safe generalization of the removeModule concept from
OrcV1.
Clients can now create ResourceTracker objects (using
JITDylib::createResourceTracker) to track resources for each MaterializationUnit
(code, data, aliases, absolute symbols, etc.) added to the JIT. Every
MaterializationUnit will be associated with a ResourceTracker, and
ResourceTrackers can be re-used for multiple MaterializationUnits. Each JITDylib
has a default ResourceTracker that will be used for MaterializationUnits added
to that JITDylib if no ResourceTracker is explicitly specified.
Two operations can be performed on ResourceTrackers: transferTo and remove. The
transferTo operation transfers tracking of the resources to a different
ResourceTracker object, allowing ResourceTrackers to be merged to reduce
administrative overhead (the source tracker is invalidated in the process). The
remove operation removes all resources associated with a ResourceTracker,
including any symbols defined by MaterializationUnits associated with the
tracker, and also invalidates the tracker. These operations are thread safe, and
should work regardless of the the state of the MaterializationUnits. In the case
of resource transfer any existing resources associated with the source tracker
will be transferred to the destination tracker, and all future resources for
those units will be automatically associated with the destination tracker. In
the case of resource removal all already-allocated resources will be
deallocated, any if any program representations associated with the tracker have
not been compiled yet they will be destroyed. If any program representations are
currently being compiled then they will be prevented from completing: their
MaterializationResponsibility will return errors on any attempt to update the
JIT state.
Clients (usually Layer writers) wishing to track resources can implement the
ResourceManager API to receive notifications when ResourceTrackers are
transferred or removed. The MaterializationResponsibility::withResourceKeyDo
method can be used to create associations between the key for a ResourceTracker
and an allocated resource in a thread-safe way.
RTDyldObjectLinkingLayer and ObjectLinkingLayer are updated to use the
ResourceManager API to enable tracking and removal of memory allocated by the
JIT linker.
The new JITDylib::clear method can be used to trigger removal of every
ResourceTracker associated with the JITDylib (note that this will only
remove resources for the JITDylib, it does not run static destructors).
This patch includes unit tests showing basic usage. A follow-up patch will
update the Kaleidoscope and BuildingAJIT tutorial series to OrcV2 and will
use this API to release code associated with anonymous expressions.
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
Lang Hames