CSE is the only client of this API, refactor it a bit to pull the query
internally to make changes to DominanceInfo a bit easier. This commit
also improves comments a bit.
This avoids trying to find the RegionKindInterface for every
operation in the program, we only need it if they have regions.
Differential Revision: https://reviews.llvm.org/D103367
The implementation had a couple of problems, including checking
"isProperAncestor" in an inefficient way. It also recursed into
other "isolated from above" ops. In the case of CIRCT, we get
three levels of isolated ops:
mlir::ModuleOp
firrtl::CircuitOp
firrtl::FModuleOp
The verification for module would recurse into the circuits and
fmodules checking them. The verifier hook for circuit would
recurse into all the modules reverifying them, fmoduleop would
then reverify them. The same happens for mlir::ModuleOp and Func.
While here, fix an old design problem: IsolatedFromAbove checking
was implemented by a method on the Region class, which isn't
actually general and isn't used by anything else. Move it over
to be a trait impl verifier method like the others and specialize
it for its task.
Differential Revision: https://reviews.llvm.org/D103345
Implements better naming for results of `spv.Constant` ops by making it
inherit from OpAsmOpInterface and implementing the associated
getAsmResultName(...) hook.
Reviewed By: antiagainst
Differential Revision: https://reviews.llvm.org/D103152
MLIR tools very commonly use `// -----` to split a file into distinct sub documents, that are processed separately. This revision adds support to mlir-lsp-server for splitting MLIR files based on this sigil, and processing them separately.
Differential Revision: https://reviews.llvm.org/D102660
This allows for checking if a given operation may modify/reference/or both a given value. Right now this API is limited to Value based memory locations, but we should expand this to include attribute based values at some point. This is left for future work because the rest of the AliasAnalysis API also has this restriction.
Differential Revision: https://reviews.llvm.org/D101673
Depends On D103109
If any of the tokens/values added to the `!async.group` switches to the error state, than the group itself switches to the error state.
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D103203
Depends On D103102
Not yet implemented:
1. Error handling after synchronous await
2. Error handling for async groups
Will be addressed in the followup PRs
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D103109
Support reference counted values implicitly passed (live) only to some of the successors.
Example: if branched to ^bb2 token will leak, unless `drop_ref` operation is properly created
```
^entry:
%token = async.runtime.create : !async.token
cond_br %cond, ^bb1, ^bb2
^bb1:
async.runtime.await %token
async.runtime.drop_ref %token
br ^bb2
^bb2:
return
```
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D103102
In order to allow large matmul operations using the MMA ops we need to chain
operations this is not possible unless "DOp" and "COp" type have matching
layout so remove the "DOp" layout and force accumulator and result type to
match.
Added a test for the case where the MMA value is accumulated.
Differential Revision: https://reviews.llvm.org/D103023
This revision refactors and simplifies the pattern detection logic: thanks to SSA value properties, we can actually look at all the uses of a given value and avoid having to pattern-match specific chains of operations.
A bufferization pattern for subtensor is added and specific inplaceability analysis is implemented for the simple case of subtensor. More advanced use cases will follow.
Differential revision: https://reviews.llvm.org/D102512
* Add `hasCanonicalizer` option to Dialect.
* Initialize canonicalizer with dialect-wide canonicalization patterns.
* Add test case to TestDialect.
Dialect-wide canonicalization patterns are useful if a canonicalization pattern does not conceptually associate with any single operation, i.e., it should not be registered as part of an operation's `getCanonicalizationPatterns` function. E.g., this is the case for canonicalization patterns that match an op interface.
Differential Revision: https://reviews.llvm.org/D103226
Allow support for specifying empty IVs in an `affine.parallel`.
For example:
```
affine.parallel () = () to () {
affine.yield
}
```
Reviewed By: bondhugula, jbruestle
Differential Revision: https://reviews.llvm.org/D102895
The casting ops (sitofp, uitofp, fptosi, fptoui) lowering currently does
not handle n-D vectors. This patch fixes that.
Differential Revision: https://reviews.llvm.org/D103207
Currently, passes are registered on a per-dialect basis, which
provides the smallest footprint obviously. But for prototyping
and experimentation, a convenience "all passes" module is provided,
which registers all known MLIR passes in one run.
Usage in Python:
import mlir.all_passes_registration
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D103130
Add translation to LLVM IR for the UpdateOp with host and device operands.
Translation is done with call using the runtime. This is done in a similar way as
D101504 and D102381.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D102382
Indexed Generic should be going away in the future. Migrate to linalg.index.
Reviewed By: NatashaKnk, nicolasvasilache
Differential Revision: https://reviews.llvm.org/D103110
MLIRContext holds a few special case values that occur frequently like empty
dictionary and NoneType, which allow us to avoid taking locks to get an instance
of them. Give the empty StringAttr this treatment as well. This cuts several
percent off compile time for CIRCT.
Differential Revision: https://reviews.llvm.org/D103117
This provides a sizable compile time improvement by seeding
the worklist in an order that leads to less iterations of the
worklist.
This patch only changes the behavior of the Canonicalize pass
itself, it does not affect other passes that use the
GreedyPatternRewrite driver
Differential Revision: https://reviews.llvm.org/D103053
This allows C++ clients of the Canonicalize pass to specify their own
Config option struct to control how Canonicalize works, increasing reusability.
This also allows controlling these settings for the default Canonicalize pass
using command line options. This is useful for testing and for playing with
things on the command line.
Differential Revision: https://reviews.llvm.org/D103069
Currently, AbstractOperation fields are function pointers.
Modifying them to unique_function allow them to contain
runtime information.
For instance, this allows operations to be defined at runtime.
Differential Revision: https://reviews.llvm.org/D103031
This patch is the third in a series of patches fixing markdown links and references inside the mlir documentation.
This patch addresses all broken references to other markdown files and sections inside the Tutorials folder.
Differential Revision: https://reviews.llvm.org/D103017
Update the paragraph on generic / indexed_generic to reflect the unification of these operations.
Differential Revision: https://reviews.llvm.org/D102775
Removed some of the older raw "MLIRized" versions that are
no longer needed now that the sparse runtime support library
can focus on the proper sparse tensor types rather than the
opague pointer approach of the past. This avoids legacy...
Reviewed By: penpornk
Differential Revision: https://reviews.llvm.org/D102960
A test in ir.c makes use of casting a void* to an integer type to print it's address. This cast is currently done with the datatype `long` however, which is only guaranteed to be equal to the pointer width on LP64 system. Other platforms may use a length not equal to the pointer width. 64bit Windows as an example uses 32 bit for `long` which does not match the 64 bit pointers.
This also results in clang warning due to `-Wvoid-pointer-to-int-cast`.
Technically speaking, since the test only passes the value 42, it does not cause any issues, but it'd be nice to fix the warning at least.
Differential Revision: https://reviews.llvm.org/D103085
This patch is the first in a series of patches fixing markdown links and references inside the mlir documentation. I chose to split it in a few reviews to be able to iterate quicker and to ease review.
This patch addresses all broken references to other markdown files and sections inside the Dialects folder.
One change that was also done was to insert '/' between the markdown files and section:
Example:
Builtin.md#integertype
was changed to:
Builtin.md/#integertype
After compilation, hugo then translates the later to jump directly to the integer type section, but not the former. Not inserting the slash would simply jump to just the Builtin page, instead of the integertype section. I therefore changed occurrences of the former version to the later as well.
Differential Revision: https://reviews.llvm.org/D103011
This patch is the second in a series of patches fixing markdown links and references inside the mlir documentation.
This patch addresses all broken references to other markdown files and sections inside the Rationale folder.
In addition to fixing the links and references like in the previous patch, I also changed references which are URLs to the mlir.llvm.org/docs website, to proper relative markdown references instead.
Differential Revision: https://reviews.llvm.org/D103013
Disallow transfer ops that change the element type of the transfer. Such transfers could be supported in the future, if needed.
Differential Revision: https://reviews.llvm.org/D102746
Prevent users of `iter_args` of an affine for loop from being hoisted
out of it. Otherwise, LICM leads to a violation of the SSA dominance
(as demonstrated in the added test case).
Fixes: https://bugs.llvm.org/show_bug.cgi?id=50103
Reviewed By: bondhugula, ayzhuang
Differential Revision: https://reviews.llvm.org/D102984
This previously handled memref::SubviewOp, but this can be extended to
all ops implementing the interface.
Differential Revision: https://reviews.llvm.org/D103076
Lower a 1D vector transfer op to LLVM if the last dim stride is 1. Also fixes a bug in the original unit stride computation.
Differential Revision: https://reviews.llvm.org/D102897
We are currently explicitly setting the flag solely based on the value of `-verify`, which ends up ignoring the situation where the user explicitly disabled this option from the command line.
Differential Revision: https://reviews.llvm.org/D102952
This exposes the iterations and top-down processing as flags, and also
allows controlling whether region simplification is desirable for a client.
This allows deleting some duplicated entrypoints to
applyPatternsAndFoldGreedily.
This also deletes the Constant Preprocessing pass, which isn't worth it
on balance.
All defaults are all kept the same, so no one should see a behavior change.
Differential Revision: https://reviews.llvm.org/D102988
This is the fourth and final patch in a series of patches fixing markdown links and references inside the mlir documentation. This patch combined with the other three should fix almost every broken link on mlir.llvm.org as far as I can tell.
This patch in particular addresses all Markdown files in the top level docs directory.
Differential Revision: https://reviews.llvm.org/D103032
Deconstrains several TOSA operators to align with the current TOSA spec, including all the elementwise ops.
Note: some more ops are under consideration for further cleanup; they will follow once the spec has been updated.
Reviewed By: stellaraccident
Differential Revision: https://reviews.llvm.org/D102958
Drop old cmake variable names that were kept around so that zorg
buildbot could be migrated, which has now happened (D102977). D102976
had fixed the inconsistent names.
Differential Revision: https://reviews.llvm.org/D102997
Fix inconsistent MLIR CMake variable names. Consistently name them as
MLIR_ENABLE_<feature>.
Eg: MLIR_CUDA_RUNNER_ENABLED -> MLIR_ENABLE_CUDA_RUNNER
MLIR follows (or has mostly followed) the convention of naming
cmake enabling variables in the from MLIR_ENABLE_... etc. Using a
convention here is easy and also important for convenience. A counter
pattern was started with variables named MLIR_..._ENABLED. This led to a
sequence of related counter patterns: MLIR_CUDA_RUNNER_ENABLED,
MLIR_ROCM_RUNNER_ENABLED, etc.. From a naming standpoint, the imperative
form is more meaningful. Additional discussion at:
https://llvm.discourse.group/t/mlir-cmake-enable-variable-naming-convention/3520
Switch all inconsistent ones to the ENABLE form. Keep the couple of old
mappings needed until buildbot config is migrated.
Differential Revision: https://reviews.llvm.org/D102976
Steps for normalizing dynamic memrefs for tiled layout map
1. Check if original map is tiled layout. Only tiled layout is supported.
2. Create normalized memrefType. Dimensions that include dynamic dimensions
in the map output will be dynamic dimensions.
3. Create new maps to calculate each dimension size of new memref.
In tiled layout, the dimension size can be calculated by replacing
"floordiv <tile size>" with "ceildiv <tile size>" and
"mod <tile size>" with "<tile size>".
4. Create AffineApplyOp to apply the new maps. The output of AffineApplyOp is
dynamicSizes for new AllocOp.
5. Add the new dynamic sizes in new AllocOp.
This patch also set MemRefsNormalizable trant in CastOp and DimOp since
they used with dynamic memrefs.
Reviewed By: bondhugula
Differential Revision: https://reviews.llvm.org/D97655
This makes it possible for targets to define their own MCObjectFileInfo.
This MCObjectFileInfo is then used to determine things like section alignment.
This is a follow up to D101462 and prepares for the RISCV backend defining the
text section alignment depending on the enabled extensions.
Reviewed By: MaskRay
Differential Revision: https://reviews.llvm.org/D101921
This adds the ability to specify a location when creating BlockArguments.
Notably Value::getLoc() will return this correctly, which makes diagnostics
more precise (e.g. the example in test-legalize-type-conversion.mlir).
This is currently optional to avoid breaking any existing code - if
absent, the BlockArgument defaults to using the location of its enclosing
operation (preserving existing behavior).
The bulk of this change is plumbing location tracking through the parser
and printer to make sure it can round trip (in -mlir-print-debuginfo
mode). This is complete for generic operations, but requires manual
adoption for custom ops.
I added support for function-like ops to round trip their argument
locations - they print correctly, but when parsing the locations are
dropped on the floor. I intend to fix this, but it will require more
invasive plumbing through "function_like_impl" stuff so I think it
best to split it out to its own patch.
This is a reapply of the patch here: https://reviews.llvm.org/D102567
with an additional change: we now never defer block argument locations,
guaranteeing that we can round trip correctly.
This isn't required in all cases, but allows us to hill climb here and
works around unrelated bugs like https://bugs.llvm.org/show_bug.cgi?id=50451
Differential Revision: https://reviews.llvm.org/D102991
All lines after the first are currently indented by one char further to the left than the first line. This leads to the first character of each sentence being cut from the resulting Markdown file after compilation. The text also contains 3 references to sections of other markdown files. One was missing the file, while the other two had outdated files, leading to 404 errors in the documentation.
Differential Revision: https://reviews.llvm.org/D102983
Add a test case to test the complete execution of WMMA ops on a Nvidia
GPU with tensor cores. These tests are enabled under
MLIR_RUN_CUDA_TENSOR_CORE_TESTS.
Reviewed By: bondhugula
Differential Revision: https://reviews.llvm.org/D95334
These pass documents belong on the main pass page, and not generated as
top level pages.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D102947
This revision completes the "dimension ordering" feature
of sparse tensor types that enables the programmer to
define a preferred order on dimension access (other than
the default left-to-right order). This enables e.g. selection
of column-major over row-major storage for sparse matrices,
but generalized to any rank, as in:
dimOrdering = affine_map<(i,j,k,l,m,n,o,p) -> (p,o,j,k,i,l,m,n)>
Reviewed By: bixia
Differential Revision: https://reviews.llvm.org/D102856
The previous implementation did not handle casting behavior properly and
did not consider aliases.
Differential Revision: https://reviews.llvm.org/D102785
This pattern inlines operands to a linalg.generic operation that use a constant
index and hence are loop-invariant scalars. This reduces the number of
linalg.generic operands and unlocks some canonicalizations that rely on seeing
an explicit tensor.extract.
Differential Revision: https://reviews.llvm.org/D102682
I noticed while packaging mlir that most mlir library names start
with `libMLIR`. The only different libary was `libMlirLspServerLib.a`.
That's why I changed the library to be similarly named to the others.
Differential Revision: https://reviews.llvm.org/D102881
This adds the straightforward conversion for EqualOp
(two complex numbers are equal if both the real and the imaginary part are equal).
Differential Revision: https://reviews.llvm.org/D102840
The current implementation has several key limitations and weirdness, e.g local reproducers don't support dynamic pass pipelines, error messages don't include the passes that failed, etc. This revision refactors the implementation to support more use cases, and also be much cleaner.
The main change in this revision, aside from moving the implementation out of Pass.cpp and into its own file, is the addition of a crash recovery pass instrumentation. For local reproducers, this instrumentation handles setting up the recovery context before executing each pass. For global reproducers, the instrumentation is used to provide a more detailed error message, containing information about which passes are running and on which operations.
Example of new message:
```
error: Failures have been detected while processing an MLIR pass pipeline
note: Pipeline failed while executing [`TestCrashRecoveryPass` on 'module' operation: @foo]: reproducer generated at `crash-recovery.mlir.tmp`
```
Differential Revision: https://reviews.llvm.org/D101854
This flag will print the IR after a pass only in the case where the pass failed. This can be useful to more easily view the invalid IR, without needing to print after every pass in the pipeline.
Differential Revision: https://reviews.llvm.org/D101853
Skip the sparsification pass for Linalg ops without annotated tensors
(or cases that are not properly handled yet).
Reviewed By: bixia
Differential Revision: https://reviews.llvm.org/D102787
Tres Popp