This PR introduces a mechanism to defer JIT engine initialization,
enabling registration of required symbols before global constructor
execution.
## Problem
Modules containing `gpu.module` generate global constructors (e.g.,
kernel load/unload) that execute *during* engine creation. This can
force premature symbol resolution, causing failures when:
- Symbols are registered via `mlirExecutionEngineRegisterSymbol` *after*
creation
- Global constructors exist (even if not directly using unresolved
symbols, e.g., an external function declaration)
- GPU modules introduce mandatory binary loading logic
## Usage
```c
// Create engine without initialization
MlirExecutionEngine jit = mlirExecutionEngineCreate(...);
// Register required symbols
mlirExecutionEngineRegisterSymbol(jit, ...);
// Explicitly initialize (runs global constructors)
mlirExecutionEngineInitialize(jit);
```
---------
Co-authored-by: Mehdi Amini <joker.eph@gmail.com>
Apparently trying to lookup a function pointer using the C api
`mlirExecutionEngineLookup` will throw an assert instead of just
returning a nullptr on builds with asserts.
The docs itself says it returns a nullptr when no function is found so
it should be sensible to not throw an assert in this case.
This will make it easy for callers to see issues with and fix up calls
to createTargetMachine after a future change to the params of
TargetMachine.
This matches other nearby enums.
For downstream users, this should be a fairly straightforward
replacement,
e.g. s/CodeGenOpt::Aggressive/CodeGenOptLevel::Aggressive
or s/CGFT_/CodeGenFileType::
We've observed that the MLIR Jit Engine fails when the `omp` dialect is used due to a failure to register OpenMP-related translations. This small patch addresses this issue.
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D151577
This patch supports the processing of dialect attributes attached to top-level
module-type operations during MLIR-to-LLVMIR lowering.
This approach modifies the `mlir::translateModuleToLLVMIR()` function to call
`ModuleTranslation::convertOperation()` on the top-level operation, after its
body has been lowered. This, in turn, will get the
`LLVMTranslationDialectInterface` object associated to that operation's dialect
before trying to use it for lowering prior to processing dialect attributes
attached to the operation.
Since there are no `LLVMTranslationDialectInterface`s for the builtin and GPU
dialects, which define their own module-type operations, this patch also adds
and registers them. The requirement for always calling
`mlir::registerBuiltinDialectTranslation()` before any translation of MLIR to
LLVM IR where builtin module operations are present is introduced. The purpose
of these new translation interfaces is to succeed when processing module-type
operations, allowing the lowering process to continue and to prevent the
introduction of failures related to not finding such interfaces.
Differential Revision: https://reviews.llvm.org/D145932
Use the new pass manager.
This also removes the ability to run arbitrary sets of passes. Not sure if this functionality is used, but it doesn't seem to be tested.
No need to initialize passes outside of constructing the PassBuilder with the new pass manager.
Reland: Fixed custom calls to `-lower-matrix-intrinsics` in integration tests by replacing them with `-O0 -enable-matrix`.
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D123425
Use the new pass manager.
This also removes the ability to run arbitrary sets of passes. Not sure if this functionality is used, but it doesn't seem to be tested.
No need to initialize passes outside of constructing the PassBuilder with the new pass manager.
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D123425
Its number of optional parameters has grown too large,
which makes adding new optional parameters quite a chore.
Fix this by using an options struct.
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D120380
The purpose of the change is to make clear whether the user is
retrieving the original function or the wrapper function, in line with
the invoke commands. This new functionality is useful for users that
already have defined their own packed interface, so they do not want the
extra layer of indirection, or for users wanting to the look at the
resulting primary function rather than the wrapper function.
All locations, except the python bindings now have a `lookupPacked`
method that matches the original `lookup` functionality. `lookup`
still exists, but with new semantics.
- `lookup` returns the function with a given name. If `bool f(int,int)`
is compiled, `lookup` will return a reference to `bool(*f)(int,int)`.
- `lookupPacked` returns the packed wrapper of the function with the
given name. If `bool f(int,int)` is compiled, `lookupPacked` will return
`void(*mlir_f)(void**)`.
Differential Revision: https://reviews.llvm.org/D114352
Add support to Python bindings for the MLIR execution engine to load a
specified list of shared libraries - for eg. to use MLIR runtime
utility libraries.
Differential Revision: https://reviews.llvm.org/D104009
Provide an option to specify optimization level when creating an
ExecutionEngine via the MLIR JIT Python binding. Not only is the
specified optimization level used for code generation, but all LLVM
optimization passes at the optimization level are also run prior to
machine code generation (akin to the mlir-cpu-runner tool).
Default opt level continues to remain at level two (-O2).
Contributions in part from Prashant Kumar <prashantk@polymagelabs.com>
as well.
Differential Revision: https://reviews.llvm.org/D102551
This exposes the ability to register Python functions with the JIT and
exposes them to the MLIR jitted code. The provided test case illustrates
the mechanism.
Differential Revision: https://reviews.llvm.org/D99562
There is no need for the interface implementations to be exposed, opaque
registration functions are sufficient for all users, similarly to passes.
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D97852
This offers the ability to create a JIT and invoke a function by passing
ctypes pointers to the argument and the result.
Differential Revision: https://reviews.llvm.org/D97523
This adds minimalistic bindings for the execution engine, allowing to
invoke the JIT from the C API. This is still quite early and
experimental and shouldn't be considered stable in any way.
Differential Revision: https://reviews.llvm.org/D96651
