Test flakiness was fixed by: 9edcedf7f2
Runs these tests to verify that all parts of the lowering work correctly.
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D93384
Define Async runtime related typedefs in the `mlir::runtime` namespace.
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D93391
- the !gpu.async.token is the second result of 'gpu.alloc async', not the first.
- async.execute construction takes operand types not yet wrapped in !async.value.
- fix typo
Reviewed By: herhut
Differential Revision: https://reviews.llvm.org/D93156
Adds more support for `SpecConstantOperation` by defining a custom
syntax for the op and implementing its parsing and printing.
Reviewed By: mravishankar, antiagainst
Differential Revision: https://reviews.llvm.org/D92919
The current condition implies that the target materialization will be
called even if the type is the new operand type is legal, but slightly
different. For example, if there is a bufferization pattern that changes
memref layout, then target materialization for an illegal type
(TensorType) would be called.
Differential Revision: https://reviews.llvm.org/D93126
Previous behavior would fail if inserting an operation that already
existed. Now SymbolTable::insert can also be used as a way to make a
symbol's name unique even after insertion.
Further TODOs have been left over naming and consistent behavior
considerations.
Differential Revision: https://reviews.llvm.org/D93349
This parser does not include the general `pass_pipeline` option, the pass pipeline entries, or the options of pass entries. This is useful for cases such as `print-ir-after` that just want the user to select specific pass types. This revision greatly reduces the amount of text in --help for several MLIR based tools.
Fixes PR#45495
Differential Revision: https://reviews.llvm.org/D92987
These classes were initially introduced to factor out two common parts of LLVM
op definitions: the fact that they have no results or a single result of
LLVM_Type, and the default builders. Neither of the two parts is really
common anymore: many ops have more specific on the result type, and many ops
provide custom builders. The TableGen classes only add conceptual complexity
and make LLVM dialect definition dissimilar to other dialects. Remove them in
favor of explicitly specified builders (results are already specified).
Depends On D93329
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D93330
Now that we have predicates for LLVM dialect types in ODS, we can use them to
restrict the types allowed in results of LLVM dialect operations. This also
serves as additional documentation for these operations.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D93329
This exposes several issues with the current generation that this revision also fixes.
* TypeDef now allows specifying the base class to use when generating.
* TypeDef now inherits from DialectType, which allows for using it as a TypeConstraint
* Parser/Printers are now no longer generated in the header(removing duplicate symbols), and are now only generated when necessary.
- Now that generatedTypeParser/Printer are only generated in the definition file,
existing users will need to manually expose this functionality when necessary.
* ::get() is no longer generated for singleton types, because it isn't necessary.
Differential Revision: https://reviews.llvm.org/D93270
Due to how the conversion infra works, the "clone" call that this
pattern was using required all the cloned ops to be immediately
legalized as part of this dialect conversion invocation.
That was previously working due to a couple factors:
- In the test case, there was scf.if, which we happen to mark as legal
as part of marking the entire SCF dialect as legal for the scf.parallel
we generate here.
- Originally, this test case had std.extract_element in the body, which
we happened to have a pattern for in this pass. After I migrated that to
`tensor.extract` (which removed the tensor.extract bufferization from
here), I hacked this up to use `std.dim` which we still have patterns
for in this pass.
This patch updates the test case to use a truly opaque op `test.source`
that properly stresses this aspect of the pattern.
(this also removes a stray dependency on the `tensor` dialect that I
must have left behind as part of my hacking this pass up when migrating
to `tensor.extract`)
Differential Revision: https://reviews.llvm.org/D93262
This is useful for scalar code that uses for/while loops.
This has also been confirmed to work for representing std.pow as an
scf.for loop on gpus.
Differential Revision: https://reviews.llvm.org/D93308
Now that passes have support for running nested pipelines, the inliner can now allow for users to provide proper nested pipelines to use for optimization during inlining. This revision also changes the behavior of optimization during inlining to optimize before attempting to inline, which should lead to a more accurate cost model and prevents the need for users to schedule additional duplicate cleanup passes before/after the inliner that would already be run during inlining.
Differential Revision: https://reviews.llvm.org/D91211
This revision adds a new `StaticVerifierFunctionEmitter` class that emits local static functions in the .cpp file for shared operation verification. This class deduplicates shared operation verification code by emitting static functions alongside the op definitions. These methods are local to the definition file, and are invoked within the operation verify methods. The first bit of shared verification is for the type constraints used when verifying operands and results. An example is shown below:
```
static LogicalResult localVerify(...) {
...
}
LogicalResult OpA::verify(...) {
if (failed(localVerify(...)))
return failure();
...
}
LogicalResult OpB::verify(...) {
if (failed(localVerify(...)))
return failure();
...
}
```
This allowed for saving >400kb of code size from a downstream TensorFlow project (~15% of MLIR code size).
Differential Revision: https://reviews.llvm.org/D91381
This will allow for caching pattern lists across multiple pass instances, such as when multithreading. This is an extremely important invariant for PDL patterns, which are compiled at runtime when the FrozenRewritePatternList is built.
Differential Revision: https://reviews.llvm.org/D93146
Some operations use integer literals as part of their custom format that don't necessarily map to an internal IntegerAttr. This revision exposes the same `parseInteger` functions as the DialectAsmParser to allow for these operations to parse integer literals without incurring the otherwise unnecessary roundtrip through IntegerAttr.
Differential Revision: https://reviews.llvm.org/D93152
This revision adds a new `printNewline` hook to OpAsmPrinter that allows for printing a newline within the custom format of an operation, that is then indented to the start of the operation. Support for the declarative assembly format is also added, in the form of a `\n` literal.
Differential Revision: https://reviews.llvm.org/D93151
Fix a bug causing to pick the wrong vector size to broadcast to when the source
vectors have different ranks.
Differential Revision: https://reviews.llvm.org/D93118
This commit splits SPIR-V's serialization and deserialization code
into separate libraries. The motiviation being that the serializer
is used more often the deserializer and therefore lumping them
together unnecessarily increases binary size for the most common
case.
This commit also moves these libraries into the Target/ directory
to follow MLIR convention.
Reviewed By: antiagainst
Differential Revision: https://reviews.llvm.org/D91548
This avoids dumping the module post emitting a reproducer, which results in
many MB logs where a reproducer has already been neatly generated.
Differential Revision: https://reviews.llvm.org/D93165
Adds support for 3 ternary ops from SPIR-V extended instructions for
GLSL. Namely, adds support for FClamp, UClamp, and SClamp.
Reviewed By: antiagainst
Differential Revision: https://reviews.llvm.org/D92859
Zero bit integer types are supported by IntegerType for consistency,
but the asmparser never got updated. Allow them to be parsed, as
required to fix CIRCT issue #316
Differential Revision: https://reviews.llvm.org/D93089
When printing verification errors for ops with the incorrect number of
operand segments, print the required number as well as the actual
number. Split off from D93005.
Differential Revision: https://reviews.llvm.org/D93145
This mirror the C++ API for NamedAttribute, and has the advantage or
internalizing earlier in the Context and not requiring the caller to
keep the StringRef alive beyong this call.
Differential Revision: https://reviews.llvm.org/D93133
This reverts commit 0d48d265db.
This reapplies the following commit, with a fix for CAPI/ir.c:
[mlir] Start splitting the `tensor` dialect out of `std`.
This starts by moving `std.extract_element` to `tensor.extract` (this
mirrors the naming of `vector.extract`).
Curiously, `std.extract_element` supposedly works on vectors as well,
and this patch removes that functionality. I would tend to do that in
separate patch, but I couldn't find any downstream users relying on
this, and the fact that we have `vector.extract` made it seem safe
enough to lump in here.
This also sets up the `tensor` dialect as a dependency of the `std`
dialect, as some ops that currently live in `std` depend on
`tensor.extract` via their canonicalization patterns.
Part of RFC: https://llvm.discourse.group/t/rfc-split-the-tensor-dialect-from-std/2347/2
Differential Revision: https://reviews.llvm.org/D92991
This starts by moving `std.extract_element` to `tensor.extract` (this
mirrors the naming of `vector.extract`).
Curiously, `std.extract_element` supposedly works on vectors as well,
and this patch removes that functionality. I would tend to do that in
separate patch, but I couldn't find any downstream users relying on
this, and the fact that we have `vector.extract` made it seem safe
enough to lump in here.
This also sets up the `tensor` dialect as a dependency of the `std`
dialect, as some ops that currently live in `std` depend on
`tensor.extract` via their canonicalization patterns.
Part of RFC: https://llvm.discourse.group/t/rfc-split-the-tensor-dialect-from-std/2347/2
Differential Revision: https://reviews.llvm.org/D92991
Introduce support for inlining into affine operations. This uses the generic
inline infrastructure and boils down to checking that, if applied, the inlining
doesn't violate the affine dimension/symbol value categorization. Given valid
IR, only the values that are valid dimensions/symbols thanks to being top-level
in their affine scope need special handling.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D92770
Tres Popp