This is to improve consistency within the SPIR-V dialect and make these ops a bit shorter.
Reviewed By: antiagainst
Differential Revision: https://reviews.llvm.org/D130280
This change modifies `structured.tile_to_foreach_thread_op` so that
it accepts either `tile_sizes` or `num_threads` parameters. If
`tile_sizes` are specified, then the number of threads required is
derived the tile sizes rather than the other way around. In both cases,
more aggressive folding of loop parameters is enabled during the
transformation, allowing for the potential elimination of `affine.min`
and `affine.max` operations in the static shape case when calculating
the final adjusted tile size.
Differential Revision: https://reviews.llvm.org/D130139
The type extraction helper function for block argument and op result
list objects was ignoring the slice entirely. So was the slice addition.
Both are caused by a misleading naming convention to implement slices
via CRTP. Make the convention more explicit and hide the helper
functions so users have harder time calling them directly.
Closes#56540.
Reviewed By: stellaraccident
Differential Revision: https://reviews.llvm.org/D130271
This operation is a NavigationOp that simplifies the writing of transform IR.
Since there is no way of refering to an interface by name, the current implementation uses
an EnumAttr and depends on the interfaces it supports.
In the future, it would be worthwhile to remove this dependence and generalize.
Differential Revision: https://reviews.llvm.org/D130267
Shape can be memref of index type, so memref::LoadOp result need to be converted into llvm type.
Differential Revision: https://reviews.llvm.org/D129965
Replace iterators of the outermost loop with region arguments of the innermost
one. The changes avoid later `bufferization` passes to insert allocation within
the body of the innermost loop.
Reviewed By: mravishankar
Differential Revision: https://reviews.llvm.org/D130083
Replace iterators of the outermost loop with region arguments of the innermost
one. The changes avoid later `bufferization` passes to insert allocation within
the body of the innermost loop.
Reviewed By: mravishankar
Differential Revision: https://reviews.llvm.org/D130083
The `tileAndFuseLinalgOps` is a legacy approach for tiling + fusion of
Linalg operations. Since it was also intended to work on operations
with buffer operands, this method had fairly complex logic to make
sure tile and fuse was correct even with side-effecting linalg ops.
While complex, it still wasnt robust enough. This patch deprecates
this method and thereby deprecating the tiling + fusion method for ops
with buffer semantics. Note that the core transformation to do fusion
of a producer with a tiled consumer still exists. The deprecation here
only removes methods that auto-magically tried to tile and fuse
correctly in presence of side-effects.
The `tileAndFuseLinalgOps` also works with operations with tensor
semantics. There are at least two other ways the same functionality
exists.
1) The `tileConsumerAndFuseProducers` method. This does a similar
transformation, but using a slightly different logic to
automatically figure out the legal tile + fuse code. Note that this
is also to be deprecated soon.
2) The prefered way uses the `TilingInterface` for tile + fuse, and
relies on the caller to set the tiling options correctly to ensure
that the generated code is correct.
As proof that (2) is equivalent to the functionality provided by
`tileAndFuseLinalgOps`, relevant tests have been moved to use the
interface, where the test driver sets the tile sizes appropriately to
generate the expected code.
Differential Revision: https://reviews.llvm.org/D129901
This patch adds constant folder for LogOp which only supports single and double precision floating-point.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D130148
This allows for automatically inserting expected checks for parser and verifier
diagnostics, which simplifies the workflow when building new dialect
constructs or extending existing ones.
Differential Revision: https://reviews.llvm.org/D130152
This patch adds a new function mlirDenseElementsAttrFloat16Get(),
which accepts the shaped type, the number of Float16 values, and a
pointer to an array of Float16 values, each of which is a uint16_t
value.
This commit is repeating https://reviews.llvm.org/D123981 + #761 but for Float16
Differential Revision: https://reviews.llvm.org/D130069
This is to improve the consistency within the SPIR-V dialect and to make op names a bit shorter.
Reviewed By: antiagainst
Differential Revision: https://reviews.llvm.org/D130194
There is no benefit to making it public, and the code is much
cleaner and easier to follow when inlined. This also matches
the pattern within the PDLL lsp server.
This patch adds constant folder for Log1pOp which only supports single and double precision floating-point.
Differential Revision: https://reviews.llvm.org/D129979
This one required more changes than ideal due to overlapping generated name
with different return types. Changed getIndexingMaps to getIndexingMapsArray to
move it out of the way/highlight that it returns (more expensively) a
SmallVector and uses the prefixed name for the Attribute.
Differential Revision: https://reviews.llvm.org/D129919
This warning was added because using attribute or type assembly formats
with `skipDefaultBuilders` set could cause compilation errors, since the
required builder prototype may not necessarily be generated and would
need to be checked by hand. This patch removes the warning because a
warning that the generated C++ "might" not compile is not particularly
useful. Attempting to address the TODO (i.e. detect whether a builder of
the correct prototype is provided) would be fragile since it would not
be possible to account for implicit conversions, etc.
In general, ODS should not be emitting warnings in cases like these.
For AttrDef declarations, place specified code in extraClassDefinition into the generated *.cpp.inc file.
Reviewed By: Mogball, rriddle
Differential Revision: https://reviews.llvm.org/D129574
This revision adds a new transformation to tile a TilingInterface `op` to a tiled `scf.foreach_thread`, applying
tiling by `num_threads`.
If non-empty, the `threadDimMapping` is added as an attribute to the resulting `scf.foreach_thread`.
0-tile sizes (i.e. tile by the full size of the data) are used to encode
that a dimension is not tiled.
Differential Revision: https://reviews.llvm.org/D129577
In the current state, this is only special cased for Allocation effects, but any effects on results allocated by the operation may be ignored when checking whether the op may be removed, as none of them are possible to be observed if the result is unused.
A use case for this is for IRs for languages which always initialize on allocation. To correctly model such operations, a Write as well as an Allocation effect should be placed on the result. This would prevent the Op from being deleted if unused however. This patch fixes that issue.
Differential Revision: https://reviews.llvm.org/D129854
This op used to belong to the sparse dialect, but there are use cases for dense bufferization as well. (E.g., when a tensor alloc is returned from a function and should be deallocated at the call site.) This change moves the op to the bufferization dialect, which now has an `alloc_tensor` and a `dealloc_tensor` op.
Differential Revision: https://reviews.llvm.org/D129985
refineReturnType method shares the same parameters as inferReturnTypes
but gets passed in the return types of the op if known that can be used
during refinement passes or for more op specific error reporting.
Currently the error reporting on failure is generic and doesn't allow
for specializing the returned result based on failure, with this change
what would previously have been a separate trait with specialized
verification can just be handled as part of inferrence rather than
duplicated.
refineReturnTypes behaves like inferReturnTypes if no result types are fed in,
while the current verification is recast as the default implementation for
refineReturnTypes with it calling inferReturnTypes (and so the default type
verification now goes through refine and allows for more op specific inference
mismatch errors).
Differential Revision: https://reviews.llvm.org/D129955
The rules in the linalg file were very specific to sparse tensors so will
find a better home under sparse tensor dialect than linalg dialect. Also
moved some rewriting from sparsification into this new "pre-rewriting" file.
Reviewed By: springerm
Differential Revision: https://reviews.llvm.org/D129910
SPIR-V specification does not require a function to have a name
if it is an entry point. Adjust deserializer to allow those kinds
of SPIR-V binaries.
Reviewed By: antiagainst
Differential Revision: https://reviews.llvm.org/D120181
When converted to the LLVM dialect, the memref.alloc and memref.free operations were generating calls to hardcoded 'malloc' and 'free' functions. This didn't leave any freedom to users to provide their custom implementation. Those operations now convert into calls to '_mlir_alloc' and '_mlir_free' functions, which have also been implemented into the runtime support library as wrappers to 'malloc' and 'free'. The same has been done for the 'aligned_alloc' function.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D128791
This patch adds constant folder for Log10Op which only support single and double precision floating-point.
Reviewed By: Mogball
Differential Revision: https://reviews.llvm.org/D129740
Since the very first commits, the Python and C MLIR APIs have had mis-placed registration/load functionality for dialects, extensions, etc. This was done pragmatically in order to get bootstrapped and then just grew in. Downstreams largely bypass and do their own thing by providing various APIs to register things they need. Meanwhile, the C++ APIs have stabilized around this and it would make sense to follow suit.
The thing we have observed in canonical usage by downstreams is that each downstream tends to have native entry points that configure its installation to its preferences with one-stop APIs. This patch leans in to this approach with `RegisterEverything.h` and `mlir._mlir_libs._mlirRegisterEverything` being the one-stop entry points for the "upstream packages". The `_mlir_libs.__init__.py` now allows customization of the environment and Context by adding "initialization modules" to the `_mlir_libs` package. If present, `_mlirRegisterEverything` is treated as such a module. Others can be added by downstreams by adding a `_site_initialize_{i}.py` module, where '{i}' is a number starting with zero. The number will be incremented and corresponding module loaded until one is not found. Initialization modules can:
* Perform load time customization to the global environment (i.e. registering passes, hooks, etc).
* Define a `register_dialects(registry: DialectRegistry)` function that can extend the `DialectRegistry` that will be used to bootstrap the `Context`.
* Define a `context_init_hook(context: Context)` function that will be added to a list of callbacks which will be invoked after dialect registration during `Context` initialization.
Note that the `MLIRPythonExtension.RegisterEverything` is not included by default when building a downstream (its corresponding behavior was prior). For downstreams which need the default MLIR initialization to take place, they must add this back in to their Python CMake build just like they add their own components (i.e. to `add_mlir_python_common_capi_library` and `add_mlir_python_modules`). It is perfectly valid to not do this, in which case, only the things explicitly depended on and initialized by downstreams will be built/packaged. If the downstream has not been set up for this, it is recommended to simply add this back for the time being and pay the build time/package size cost.
CMake changes:
* `MLIRCAPIRegistration` -> `MLIRCAPIRegisterEverything` (renamed to signify what it does and force an evaluation: a number of places were incidentally linking this very expensive target)
* `MLIRPythonSoure.Passes` removed (without replacement: just drop)
* `MLIRPythonExtension.AllPassesRegistration` removed (without replacement: just drop)
* `MLIRPythonExtension.Conversions` removed (without replacement: just drop)
* `MLIRPythonExtension.Transforms` removed (without replacement: just drop)
Header changes:
* `mlir-c/Registration.h` is deleted. Dialect registration functionality is now in `IR.h`. Registration of upstream features are in `mlir-c/RegisterEverything.h`. When updating MLIR and a couple of downstreams, I found that proper usage was commingled so required making a choice vs just blind S&R.
Python APIs removed:
* mlir.transforms and mlir.conversions (previously only had an __init__.py which indirectly triggered `mlirRegisterTransformsPasses()` and `mlirRegisterConversionPasses()` respectively). Downstream impact: Remove these imports if present (they now happen as part of default initialization).
* mlir._mlir_libs._all_passes_registration, mlir._mlir_libs._mlirTransforms, mlir._mlir_libs._mlirConversions. Downstream impact: None expected (these were internally used).
C-APIs changed:
* mlirRegisterAllDialects(MlirContext) now takes an MlirDialectRegistry instead. It also used to trigger loading of all dialects, which was already marked with a TODO to remove -- it no longer does, and for direct use, dialects must be explicitly loaded. Downstream impact: Direct C-API users must ensure that needed dialects are loaded or call `mlirContextLoadAllAvailableDialects(MlirContext)` to emulate the prior behavior. Also see the `ir.c` test case (e.g. ` mlirContextGetOrLoadDialect(ctx, mlirStringRefCreateFromCString("func"));`).
* mlirDialectHandle* APIs were moved from Registration.h (which now is restricted to just global/upstream registration) to IR.h, arguably where it should have been. Downstream impact: include correct header (likely already doing so).
C-APIs added:
* mlirContextLoadAllAvailableDialects(MlirContext): Corresponds to C++ API with the same purpose.
Python APIs added:
* mlir.ir.DialectRegistry: Mapping for an MlirDialectRegistry.
* mlir.ir.Context.append_dialect_registry(MlirDialectRegistry)
* mlir.ir.Context.load_all_available_dialects()
* mlir._mlir_libs._mlirAllRegistration: New native extension that exposes a `register_dialects(MlirDialectRegistry)` entry point and performs all upstream pass/conversion/transforms registration on init. In this first step, we eagerly load this as part of the __init__.py and use it to monkey patch the Context to emulate prior behavior.
* Type caster and capsule support for MlirDialectRegistry
This should make it possible to build downstream Python dialects that only depend on a subset of MLIR. See: https://github.com/llvm/llvm-project/issues/56037
Here is an example PR, minimally adapting IREE to these changes: https://github.com/iree-org/iree/pull/9638/files In this situation, IREE is opting to not link everything, since it is already configuring the Context to its liking. For projects that would just like to not think about it and pull in everything, add `MLIRPythonExtension.RegisterEverything` to the list of Python sources getting built, and the old behavior will continue.
Reviewed By: mehdi_amini, ftynse
Differential Revision: https://reviews.llvm.org/D128593
An OpBuilder already exists for GEPs that does not have any struct indices for existing typed pointers, but no such builder exists for GEPs utilizing opaque pointers that has an explicit `basePtrType`.
Differential Revision: https://reviews.llvm.org/D129376
Clean up checks for alloc-like ops in analysis. Use the analysis
utility to properly check for the desired kind of effects. The previous
locality utility worked for all practical purposes but wasn't sound and
was locally duplicate code. Instead, use mlir::hasSingleEffect.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D129439
```
// -----// IR Dump Before LowerLinalgMicrokernels (iree-vmvx-lower-linalg-microkernels) //----- //
```
I've been meaning to suggest this for a long time, and I think the only reason we don't have it is because we didn't used to have the `getArgument()` handy when printing these comments. When debugging or putting a pipeline together based on such dumps, I often find myself grepping for the argument name of the pass (which is often related but not universally).
This change allows the user of LivenessBlockInfo to specify an op within the block and get a set of all values that are live as of that op. Semantically it relies on having a dominance-based region that has ordered operations. For DFG regions, computing liveness statically this way doesn't really make sense, it likely needs to be done at runtime.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D129447
This patch allows custom attribute and type builders to return
something other than the C++ type of the attribute or type.
This is useful for attributes or types that may perform extra work during
construction (e.g. canonicalization) that could result in a different
kind of attribute or type being returned.
Reviewed By: rriddle, lattner
Differential Revision: https://reviews.llvm.org/D129792
