We weren't properly returning the result of the constraint,
which leads to errors when actually trying to use the generated
C++.
Differential Revision: https://reviews.llvm.org/D124586
We currently aren't handling this properly, and in the case
of a string block just crash. This commit adds proper error handling
and detection for eof.
Differential Revision: https://reviews.llvm.org/D124585
SourceMgr generally uses 1-based locations, whereas the LSP is zero based.
This commit corrects this conversion and also enhances the conversion from SMLoc
to SMRange to support string tokens.
Differential Revision: https://reviews.llvm.org/D124584
We currently emit an error during verification if a pdl.operation with non-inferrable
results is used within a rewrite. This allows for catching some errors during compile
time, but is slightly broken. For one, the verification at the PDL level assumes that
all dialects have been loaded, which is true at run time, but may not be true when
the PDL is generated (such as via PDLL). This commit fixes this by not emitting the
error if the operation isn't registered, i.e. it uses the `mightHave` variant of trait/interface
methods.
Secondly, we currently don't verify when a pdl.operation has no explicit results, but the
operation being created is known to expect at least one. This commit adds a heuristic
error to detect these cases when possible and fail. We can't always capture when the user
made an error, but we can capture the most common case where the user expected an
operation to infer its result types (when it actually isn't possible).
Differential Revision: https://reviews.llvm.org/D124583
pdl.attribute currently has a syntax ambiguity that leads to the incorrect parsing
of pdl.attribute operations with locations that don't also have a constant value. For example:
```
pdl.attribute loc("foo")
```
The above IR is treated as being a pdl.attribute with a constant value containing the location,
`loc("foo")`, which is incorrect. This commit changes the syntax to use `= <constant-value>` to
clearly distinguish when the constant value is present, as opposed to just trying to parse an attribute.
Differential Revision: https://reviews.llvm.org/D124582
This allows for inferring the result types of operations in certain situations by using the type of
an operand. This commit allowed for automatically supporting type inference for many more
operations with no additional effort, e.g. nearly all Arithmetic operations now support
result type inferrence with no additional changes.
Differential Revision: https://reviews.llvm.org/D124581
This allows for using attribute types in result type inference for use with
InferTypeOpInterface. This was a TODO before, but it isn't much
additional work to properly support this. After this commit,
arith::ConstantOp can now have its InferTypeOpInterface implementation automatically
generated.
Differential Revision: https://reviews.llvm.org/D124580
The asm parser had a notional distinction between parsing an
operand (like "%foo" or "%4#3") and parsing a region argument
(which isn't supposed to allow a result number like #3).
Unfortunately the implementation has two problems:
1) It didn't actually check for the result number and reject
it. parseRegionArgument and parseOperand were identical.
2) It had a lot of machinery built up around it that paralleled
operand parsing. This also was functionally identical, but
also had some subtle differences (e.g. the parseOptional
stuff had a different result type).
I thought about just removing all of this, but decided that the
missing error checking was important, so I reimplemented it with
a `allowResultNumber` flag on parseOperand. This keeps the
codepaths unified and adds the missing error checks.
Differential Revision: https://reviews.llvm.org/D124470
This adds a cast operation that allows to perform an explicit type
conversion. The cast op is emitted as a C-style cast. It can be applied
to integer, float, index and EmitC types.
Reviewed By: jpienaar
Differential Revision: https://reviews.llvm.org/D123514
Fordbids to express pointer via the `!emitc.opaque` type. Point the user
to use the `!emitc.ptr` type instead.
Reviewed By: jpienaar
Differential Revision: https://reviews.llvm.org/D124002
Per SPIR-V validation rules, explict layout decorations are only
needed for StorageBuffer, PhysicalStorageBuffer, Uniform, and
PushConstant storage classes. (And even that is for Shader
capabilities). So we don't need such decorations on the rest.
Reviewed By: hanchung
Differential Revision: https://reviews.llvm.org/D124543
Constants in MLIR are not globally unique, unlike that in LLVM IR.
Therefore, reusing previous-translated constants might cause the user
operations not being dominated by the constant (because the
previous-translated ones can be placed in arbitrary place)
This indeed misses some opportunities where we actually can reuse a
previous-translated constants, but verbosity is not our first priority
here.
Differential Revision: https://reviews.llvm.org/D124404
More specifically, the llvm::Instruction generated by
llvm::ConstantExpr::getAsInstruction. Such Instruction will be deleted
right away, but it's possible that when getAsInstruction is called
again, it will create a new Instruction that has the same address with
the one we just deleted. Thus, we shouldn't keep it in the `instMap` to
avoid a conflicting index that triggers an assertion in
processInstruction.
Differential Revision: https://reviews.llvm.org/D124402
And move importer test files from `test/Target/LLVMIR` into
`test/Target/LLVMIR/Import`.
We simply translate struct-type ConstantAggregate(Zero) into a
serious of `llvm.insertvalue` operations against a `llvm.undef` root.
Note that this doesn't affect the original logics on translating
vector/array-type ConstantAggregate values.
Differential Revision: https://reviews.llvm.org/D124399
This is necessary to handle conversions of operations defined at runtime in extensible dialects.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D124353
Only supports addition and multiplication for now; other cases
to be implemented.
Reviewed By: hanchung
Differential Revision: https://reviews.llvm.org/D124380
`index` type is converted to `i32` in SPIR-V. This is fine to
support for all signed/unsigned ops.
Reviewed By: hanchung
Differential Revision: https://reviews.llvm.org/D124451
Depends on D104534
Add support for extensible dialects, which are dialects that can be
extended at runtime with new operations and types.
These operations and types cannot at the moment implement traits
or interfaces.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D104554
This allows for providing completion results for include directive
file paths by searching the set of include directories for the current
file.
Differential Revision: https://reviews.llvm.org/D124112
This allows for navigating to included files on click, and also provides hover
information about the include file (similarly to clangd).
Differential Revision: https://reviews.llvm.org/D124077
The compilation database acts in a similar way to the compilation database
(compile_commands.json) used by clang-tidy, i.e. it provides additional
information about the compilation of project files to help the language
server. The main piece of information provided by the PDLL compilation
database in this commit is the set of include directories used when processing
the input .pdll file. This allows for the server to properly process .pdll files
that use includes anchored by the include directories set up in the build system.
The structure of the textual form of a compilation database is a yaml file
containing documents of the following form:
```
--- !FileInfo:
filepath: <string> - Absolute file path of the file.
includes: <string> - Semi-colon delimited list of include directories.
```
This commit also adds support to cmake for automatically generating
a `pdll_compile_commands.yml` file at the top-level of the build
directory.
Differential Revision: https://reviews.llvm.org/D124076
This essentially sets up mlir-pdll to function in a similar manner to mlir-tblgen. Aside
from the boilerplate of configuring CMake and setting up a basic initial test, two new
options are added to mlir-pdll to mirror options provided by tblgen:
* -d
This option generates a dependency file (i.e. a set of build time dependencies) while
processing the input file.
* --write-if-changed
This option only writes to the output file if the data would have changed, which for
the build system prevents unnecesarry rebuilds if the file was touched but not actually
changed.
Differential Revision: https://reviews.llvm.org/D124075
In the case of anonymous defs this may return the name of the base def class,
which can lead to two different defs with the same name (which hits an assert).
This commit adds a new `getUniqueDefName` method that returns a unique name
for the constraint.
Differential Revision: https://reviews.llvm.org/D124074
The callback is expected to create a branch to the ContinuationBB (sometimes called FiniBB in some lambdas) argument when finishing. This creates problems:
1. The InsertPoint used for CodeGenIP does not need to be the end of a block. If it is not, a naive callback will insert a branch instruction into the middle of the block.
2. The BasicBlock the CodeGenIP is pointing to may or may not have a terminator. There is an conflict where to branch to if the block already has a terminator.
3. Some API functions work only with block having a terminator. Some workarounds have been used to insert a temporary terminator that is removed again.
4. Some callbacks are sensitive to whether the BasicBlock has a terminator or not. This creates a callback ordering problem where different callback may have different behaviour depending on whether a previous callback created a terminator or not. The problem also exists for FinalizeCallbackTy where some callbacks do create branch to another "continue" block, but unlike BodyGenCallbackTy does not receive the target as argument. This is not addressed in this patch.
With this patch, the callback receives an CodeGenIP into a BasicBlock where to insert instructions. If it has to insert control flow, it can split the block at that position as needed but otherwise no separate ContinuationBB is needed. In particular, a callback can be empty without breaking the emitted IR. If the caller needs the control flow to branch to a specific target, it can insert the branch instruction itself and pass an InsertPoint before the terminator to the callback.
Certain frontends such as Clang may expect the current IRBuilder position to be at the end of a basic block. In this case its callbacks must split the block at CodeGenIP before setting the IRBuilder position such that the instructions after CodeGenIP are moved to another basic block and before returning create a new branch instruction to the split block.
Some utility functions such as `splitBB` are supporting correct splitting of BasicBlocks, independent of whether they have a terminator or not, returning/setting the InsertPoint of an IRBuilder to the end of split predecessor block, and optionally omitting creating a branch to the split successor block to be added later.
Reviewed By: kiranchandramohan
Differential Revision: https://reviews.llvm.org/D118409
This change borrows the ideas from `computeExpanded/CollapsedLayoutMap`
and computes the dynamic strides at runtime for the memref descriptors.
Differential Revision: https://reviews.llvm.org/D124001
This commit adds the visitNonControlFlowArguments method to
DataFlowAnalysis, allowing analyses to provide lattice values for the
arguments to a RegionSuccessor block that aren't directly tied to an
op's inputs. For example, integer range interface can use this method
to infer bounds for the step values in loops.
This method has a default implementation that keeps the old behavior
of assigning a pessimistic fixedpoint state to all such arguments.
Reviewed By: Mogball, rriddle
Differential Revision: https://reviews.llvm.org/D124021
This diff causes mlir-tblgen to generate code for an additional builder for an
operation argument with a return type that can be inferred *AND* an attribute in
the argument list can be "unwrapped." (Previously, the unwrapped build function
was only generated for builders with explicit return types in separate or
aggregate form.) As an example, this builder might be used by code that creates
operations that implement the `SameOperandsAndResultType` interface. A test case
was created.
Reviewed By: jpienaar
Differential Revision: https://reviews.llvm.org/D124043
This diff allows the EnumAttr class to be used for bit enum attributes (in
addition to previously supported integer enum attributes). While integer
and bit enum attributes share many common implementation aspects, parsing
bit enum values requires a separate implementation. This is accomplished
by creating empty parser and printer strings in the EnumAttrInfo record,
and having derived classes (specific to bit and integer enums) override with
an appropriate parser/printer string.
To support existing bit enums that may use a vertical bar separator, the
parser is modified to support the | token.
Tests were added for bit enums alongside integer enums.
Future diffs for fastmath attributes in the arithmetic dialect will use these
changes.
(resubmission of earlier abaondoned diff, updated to reflect subsequent changes
in the repository)
Reviewed By: Mogball
Differential Revision: https://reviews.llvm.org/D123880
The verifier of llvm.mlir.addressof did not properly account for opaque pointers, that is, the pointer type not having an element type equal to the type of the referenced global or function. This patch fixes that by skipping the test for the element type if the pointer is opaque.
Differential Revision: https://reviews.llvm.org/D124333
After https://reviews.llvm.org/D119743 added the `AutomaticAllocationScope`
trait to loop-like constructs, the vector transfer full/partial splitting pass
started inserting allocations for temporaries within the closest loop rather
than the closest function (or other allocation scope such as `async.execute`).
While this is correct as long as the lowered code takes care of automatic
deallocation at the end of each iteration of the loop, this interferes with
downstream optimizations that expect `alloca`s to be at the function level.
Step over loops when looking for the closest allocation scope in vector
transfer full/partial splitting pass thus restoring the original behavior.
Reviewed By: hanchung
Differential Revision: https://reviews.llvm.org/D124366
This is likely preferable to having it crash if one were to specify an opaque pointer type, and the actual element type is unused either way.
Differential Revision: https://reviews.llvm.org/D124334
The SparseTensor passes currently use opaque numbers for the CLI, despite using an enum internally. This patch exposes the enums instead of numbered items that are matched back to the enum.
Fixes GitHub issue #53389
Reviewed by: aartbik, mehdi_amini
Differential Revision: https://reviews.llvm.org/D123876
Run `one-shot-bufferize` instead of `linalg-comprehensive-module-bufferize` and move some test cases to their respective dialects.
Differential Revision: https://reviews.llvm.org/D124323
Now that dialect constructors are generated in the .cpp file, we can
drop all of the dependent dialect includes from the .h file.
Differential Revision: https://reviews.llvm.org/D124298
As a fallback mechanism, if no entry was supplied for a given address space, the size or alignment for a pointer type with the default address space is returned instead.
This code currently crashes with opaque pointers, as it tries to construct a typed pointer type from the opaque pointer type, leading to a null pointer dereference when fetching the element type.
This patch fixes the issue by handling the opaque pointer cases explicitly.
Differential Revision: https://reviews.llvm.org/D124290
Using opaque pointers in function signatures leads to an attempt to recursively convert all types, including sub types in LLVM types. In the case of LLVM pointers, it may not have a subtype aka element type if it is opaque which would then lead to a null pointer dereference.
Differential Revision: https://reviews.llvm.org/D124291
This change fixes `CollapsedLayoutMap` for cases where the collapsed
dims are size 1. The cases where inner most dims are size 1 and
noncontiguous can be represented by the strided form and therefore can
be allowed. For such cases, the new stride should be of the next entry
in an association whose dimension is not size 1. If the next entry is
dynamic, it's not possible to decide which stride to use at compilation
time and the stride is set to dynamic.
Differential Revision: https://reviews.llvm.org/D124137
Currently, the sequence of Transform dialect operations only supports a single
use of each operand (verified by the `transform.sequence` operation). This was
originally motivated by the need to guard against accessing a payload IR
operation associated with a transform IR value after this operation has likely
been rewritten by a transformation. However, not all Transform dialect
operations rewrite payload IR, in particular the "navigation" operation such as
`transform.pdl_match` do not.
Introduce memory effects to the Transform dialect operations to describe their
effect on the payload IR and the mapping between payload IR opreations and
transform IR values. Use these effects to replace the single-use rule, allowing
repeated reads and disallowing use-after-free, where operations with the "free"
effect are considered to "consume" the transform IR value and rewrite the
corresponding payload IR operations). As an additional improvement, this
enables code motion transformation on the transform IR itself.
Reviewed By: Mogball
Differential Revision: https://reviews.llvm.org/D124181
The bubble up logic was written by assuming the slice operation is
always a normal slice that outputs a tensor with the same rank.
Differential Revision: https://reviews.llvm.org/D124283
This allows printing the users of an operation as proposed in the git issue #53286.
To be able to refer to operations with no result, these operations are assigned an
ID in SSANameState.
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D124048
Add shape func op for use (primarily) in shape function_library op. Allows
setting default dialect for some simpler authoring. This is a minimal version
of the ops needed.
Differential Revision: https://reviews.llvm.org/D124055
If there is only one single element in the vector, then we can
just extract the element to compute the final result.
Reviewed By: mravishankar
Differential Revision: https://reviews.llvm.org/D124129
vector.broadcast can inject all size one dimensions. If it's
followed by a vector.shape_cast to the original type, we can
cancel the op pair, like cancelling consecutive shape_cast ops.
Reviewed By: mravishankar
Differential Revision: https://reviews.llvm.org/D124094
* Move Module Bufferization to the bufferization dialect. The implementation is split into `OneShotModuleBufferize.cpp` and `FuncBufferizableOpInterfaceImpl.cpp`, so that the external model implementation can be easily moved to the func dialect in the future.
* Split and clean up test cases. A few test cases are still remaining in Linalg and will be updated separately.
* `linalg.inplaceable` is renamed to `bufferization.writable` to accurately reflect its current usage.
* Attributes and their verifiers are moved from the Linalg dialect to the Bufferization dialect.
* Expand documentation.
* Add a new flag to One-Shot Bufferize to allow for function boundary bufferization.
Differential Revision: https://reviews.llvm.org/D122229
FuncOps are now less special. They must still be analyzed + bufferized in a certain order, but they are now bufferized same as other ops that have a region: Bufferize the op first (`bufferize` interface method), then bufferize the region body with other bufferization patterns. In the case of FuncOps, the function signature is bufferized together with ReturnOps. Similar to how, e.g., scf.for ops are bufferized together with scf.yield ops.
This change is essentially a reimplementation of the FuncOp bufferization, but mostly NFC from a user's perspective (apart from error messages). This change is in preparation of moving the code to the bufferization dialect.
Differential Revision: https://reviews.llvm.org/D123214
The bufferization driver was previously using a GreedyPatternRewriter. This was problematic because bufferization must traverse ops top-to-bottom. The GreedyPatternRewriter was previously configured via `useTopDownTraversal`, but this was a hack; this API was just meant for performance improvements and should not affect the result of the rewrite.
BEGIN_PUBLIC
No public commit message needed.
END_PUBLIC
Differential Revision: https://reviews.llvm.org/D123618
This patch replaces current fold function with the common constant fold funtion in order to cover the situation of constant splat.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D124236
These scripts do not appear to require bash, and while /bin/sh
is not guaranteed either it's more commonly available.
Fixes tests on NixOS and in certain sandbox build environments.
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D124205
Insert the select op before the combiner op when vectorizing a
reduction loop that needs a mask, so the vectorized reduction loop
can pass isLoopParallel check and be transformed correctly in later
passes.
Reviewed By: dcaballe
Differential Revision: https://reviews.llvm.org/D124047
When Location tracking support for block arguments was added, we
discussed various approaches to threading support for this through
function-like argument parsing. At the time, we added a parallel array
of locations that could hold this. It turns out that that approach was
verbose and error prone, roughly no one adopted it.
This patch takes a different approach, adding an optional source
locator to the UnresolvedOperand class. This fits much more naturally
into the standard structure we use for representing locators, and gives
all the function like dialects locator support for free (e.g. see the
test adding an example for the LLVM dialect).
Differential Revision: https://reviews.llvm.org/D124188
This introduces a pair of ops to the Transform dialect that connect it to PDL
patterns. Transform dialect relies on PDL for matching the Payload IR ops that
are about to be transformed. For this purpose, it provides a container op for
patterns, a "pdl_match" op and transform interface implementations that call
into the pattern matching infrastructure.
To enable the caching of compiled patterns, this also provides the extension
mechanism for TransformState. Extensions allow one to store additional
information in the TransformState and thus communicate it between different
Transform dialect operations when they are applied. They can be added and
removed when applying transform ops. An extension containing a symbol table in
which the pattern names are resolved and a pattern compilation cache is
introduced as the first client.
Depends On D123664
Reviewed By: Mogball
Differential Revision: https://reviews.llvm.org/D124007
The current implementation of takeBody first clears the Region, before then taking ownership of the blocks of the other regions. The issue here however, is that when clearing the region, it does not take into account references of operations to each other. In particular, blocks are deleted from front to back, and operations within a block are very likely to be deleted despite still having uses, causing an assertion to trigger [0].
This patch fixes that issue by simply calling dropAllReferences()before clearing the blocks.
[0] 9a8bb4bc63/mlir/lib/IR/Operation.cpp (L154)
Differential Revision: https://reviews.llvm.org/D123913
Add async dependencies support for gpu.launch op: this allows specifying
a list of async tokens ("streams") as dependencies for the launch.
Update the GPU kernel outlining pass lowering to propagate async
dependencies from gpu.launch to gpu.launch_func op. Previously, a new
stream was being created and destroyed for a kernel launch. The async
deps support allows the kernel launch to be serialized on an existing
stream.
Differential Revision: https://reviews.llvm.org/D123499
This patch handles empty hint value for critical and atomic constructs.
This also adds checks and tests for hint clause on atomic constructs.
Reviewed By: peixin, kiranchandramohan, NimishMishra
Differential Revision: https://reviews.llvm.org/D123186
Add a helper used to implement the build methods generated by ods-gen. The change reduces code size and compilation time since all structured op builders use the same build method. The change reduces the LinalgOps.cpp compilation time from 10.2s to 9.8s (debug build).
Depends On D123987
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D124003
The revision avoids template methods for parsing and printing that are replicated for every named operation. Instead, the new methods take a regionBuilder argument. The revision reduces the compile time of LinalgOps.cpp from 11.2 to 10.2 seconds (debug build).
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D123987
Add RegionBranchOpInterface on affine.for op so that transforms relying
on RegionBranchOpInterface can support affine.for. E.g.:
buffer-deallocation pass.
Reviewed By: herhut
Differential Revision: https://reviews.llvm.org/D123568
Writes into tensors that are definied outside of a repetitive region, but with the write happening inside of the repetitive region were previously not considered conflicts. This was incorrect.
E.g.:
```
%0 = ... : tensor<?xf32>
scf.for ... {
"reading_op"(%0) : tensor<?xf32>
%1 = "writing_op"(%0) : tensor<?xf32> -> tensor<?xf32>
...
}
```
In the above example, "writing_op" should be out-of-place.
This commit fixes the bufferization for any op that declares its repetitive semantics via RegionBranchOpInterface.
This patch adds check of supported reduction kind for ScanOp to avoid using and/or/xor for floating point type.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D123977
Introduce a method on PyMlirContext (and plumb it through to Python) to
invalidate all of the operations in the live operations map and clear
it. Since Python has no notion of private data, an end-developer could
reach into some 3rd party API which uses the MLIR Python API (that is
behaving correctly with regard to holding references) and grab a
reference to an MLIR Python Operation, preventing it from being
deconstructed out of the live operations map. This allows the API
developer to clear the map when it calls C++ code which could delete
operations, protecting itself from its users.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D123895
Sequence is an important transform combination primitive that just indicates
transform ops being applied in a row. The simplest version requires fails
immediately if any transformation in the sequence fails. Introducing this
operation allows one to start placing transform IR within other IR.
Depends On D123135
Reviewed By: Mogball, rriddle
Differential Revision: https://reviews.llvm.org/D123664
This patch adds a new function `mlirDenseElementsAttrBFloat16Get()`,
which accepts the shaped type, the number of BFloat16 values, and a
pointer to an array of BFloat16 values, each of which is a `uint16_t`
value.
Reviewed By: stellaraccident
Differential Revision: https://reviews.llvm.org/D123981
The printer is now resilient to invalid IR and will already automatically
fallback to the generic form on invalid IR. Using the generic printer on
pass failure was a conservative option before the printer was made
failsafe.
Reviewed By: lattner, rriddle, jpienaar, bondhugula
Differential Revision: https://reviews.llvm.org/D123915
Fold away gpu.memcpy op when only uses of dest are
the memcpy op in question, its allocation and deallocation
ops.
Reviewed By: bondhugula
Differential Revision: https://reviews.llvm.org/D121279
This reverts commit af0285122f.
The test "libomp::loop_dispatch.c" on builder
openmp-gcc-x86_64-linux-debian fails from time-to-time.
See #54969. This patch is unrelated.
The OMPScheduleType enum stores the constants from libomp's internal sched_type in kmp.h and are used by several kmp API functions. The enum values have an internal structure, namely each scheduling algorithm (e.g.) exists in four variants: unordered, orderend, normerge unordered, and nomerge ordered.
This patch (basically a followup to D114940) splits the "ordered" and "nomerge" bits into separate flags, as was already done for the "monotonic" and "nonmonotonic", so we can apply bit flags operations on them. It also now contains all possible combinations according to kmp's sched_type. Deriving of the OMPScheduleType enum from clause parameters has been moved form MLIR's OpenMPToLLVMIRTranslation.cpp to OpenMPIRBuilder to make available for clang as well. Since the primary purpose of the flag is the binary interface to libomp, it has been made more private to LLVMFrontend. The primary interface for generating worksharing-loop using OpenMPIRBuilder code becomes `applyWorkshareLoop` which derives the OMPScheduleType automatically and calls the appropriate emitter function.
While this is mostly a NFC refactor, it still applies the following functional changes:
* The logic from OpenMPToLLVMIRTranslation to derive the OMPScheduleType also applies to clang. Most notably, it now applies the nonmonotonic flag for non-static schedules by default.
* In OpenMPToLLVMIRTranslation, the nonmonotonic default flag was previously not applied if the simd modifier was used. I assume this was a bug, since the effect was due to `loop.schedule_modifier()` returning `mlir::omp::ScheduleModifier::none` instead of `llvm::Optional::None`.
* In OpenMPToLLVMIRTranslation, the nonmonotonic default flag was set even if ordered was specified, in breach to what the comment before citing the OpenMP specification says. I assume this was an oversight.
The ordered flag with parameter was not considered in this patch. Changes will need to be made (e.g. adding/modifying function parameters) when support for it is added. The lengthy names of the enum values can be discussed, for the moment this is avoiding reusing previously existing enum value names such as `StaticChunked` to avoid confusion.
Reviewed By: peixin
Differential Revision: https://reviews.llvm.org/D123403
Reproducers that resulted in triggering the following asserts
mlir::NamedAttribute::NamedAttribute(mlir::StringAttr, mlir::Attribute)
mlir/lib/IR/Attributes.cpp:29:3
consumeToken
mlir/lib/Parser/Parser.h:126
Differential Revision: https://reviews.llvm.org/D122240
Matthias Springer