Commit Graph

222 Commits

Author SHA1 Message Date
River Riddle e4e31e19bb [mlir][OpGen] Cache Identifiers for known attribute names in AbstractOperation.
Operations currently rely on the string name of attributes during attribute lookup/removal/replacement, in build methods, and more. This unfortunately means that some of the most used APIs in MLIR require string comparisons, additional hashing(+mutex locking) to construct Identifiers, and more. This revision remedies this by caching identifiers for all of the attributes of the operation in its corresponding AbstractOperation. Just updating the autogenerated usages brings up to a 15% reduction in compile time, greatly reducing the cost of interacting with the attributes of an operation. This number can grow even higher as we use these methods in handwritten C++ code.

Methods for accessing these cached identifiers are exposed via `<attr-name>AttrName` methods on the derived operation class. Moving forward, users should generally use these methods over raw strings when an attribute name is necessary.

Differential Revision: https://reviews.llvm.org/D104167
2021-06-22 19:56:05 +00:00
Vladislav Vinogradov 628e136738 [mlir][ODS] Fix copy ctor for generate Pass classes
Redirect the copy ctor to the actual class instead of
overwriting it with `TypeID` based ctor.

This allows the final Pass classes to have extra fields and logic for their copy.

Reviewed By: lattner

Differential Revision: https://reviews.llvm.org/D104302
2021-06-21 14:07:31 +03:00
Alex Zinenko d7e8912134 [mlir] Enable delayed registration of attribute/operation/type interfaces
This functionality is similar to delayed registration of dialect interfaces. It
allows external interface models to be registered before the dialect containing
the attribute/operation/type interface is loaded, or even before the context is
created.

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D104397
2021-06-17 13:19:24 +02:00
Alex Zinenko 23cdf7b6ed [mlir] separable registration of operation interfaces
This is similar to attribute and type interfaces and mostly the same mechanism
(FallbackModel / ExternalModel, ODS generation). There are minor differences in
how the concept-based polymorphism is implemented for operations that are
accounted for by ODS backends, and this essentially adds a test and exposes the
API.

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D104294
2021-06-17 12:00:31 +02:00
Alex Zinenko 9b2a1bcf6f [mlir] separable registration of attribute and type interfaces
It may be desirable to provide an interface implementation for an attribute or
a type without modifying the definition of said attribute or type. Notably,
this allows to implement interfaces for attributes and types outside of the
dialect that defines them and, in particular, provide interfaces for built-in
types. Provide the mechanism to do so.

Currently, separable registration requires the attribute or type to have been
registered with the context, i.e. for the dialect containing the attribute or
type to be loaded. This can be relaxed in the future using a mechanism similar
to delayed dialect interface registration.

See https://llvm.discourse.group/t/rfc-separable-attribute-type-interfaces/3637

Depends On D104233

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D104234
2021-06-15 15:20:27 +02:00
River Riddle c42dd5dbb0 [mlir] Add new SubElementAttr/SubElementType Interfaces
These interfaces allow for a composite attribute or type to opaquely provide access to any held attributes or types. There are several intended use cases for this interface. The first of which is to allow the printer to create aliases for non-builtin dialect attributes and types. In the future, this interface will also be extended to allow for SymbolRefAttr to be placed on other entities aside from just DictionaryAttr and ArrayAttr.

To limit potential test breakages, this revision only adds the new interfaces to the builtin attributes/types that are currently hardcoded during AsmPrinter alias generation. In a followup the remaining builtin attributes/types, and non-builtin attributes/types can be extended to support it.

Differential Revision: https://reviews.llvm.org/D102945
2021-06-10 17:23:07 -07:00
Lei Zhang 56f60a1ce7 [mlir][spirv] Use SingleBlock + NoTerminator for spv.module
This allows us to remove the `spv.mlir.endmodule` op and
all the code associated with it.

Along the way, tightened the APIs for `spv.module` a bit
by removing some aliases. Now we use `getRegion` to get
the only region, and `getBody` to get the region's only
block.

Reviewed By: mravishankar, hanchung

Differential Revision: https://reviews.llvm.org/D103265
2021-06-09 14:00:06 -04:00
Lei Zhang 41bc54cc56 [mlir][spirv] NFC: Replace OwningSPIRVModuleRef with OwningOpRef
Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D102009
2021-05-06 17:17:44 -04:00
Butygin cd94f18ec1 [mlir] Pass AnalysisManager as optional parameter to analysis ctor, so it can request any other analysis as dependency
Differential Revision: https://reviews.llvm.org/D100274
2021-04-20 19:18:36 +03:00
Arjun P 2690d4d45a [MLIR] Support symbols in emptiness checks for FlatAffineConstraints
Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D100114
2021-04-08 21:38:47 +05:30
River Riddle 109305e104 [mlir] Emit errors when creating unregistered attributes/types when not allowed
This was missed when verification for creating unregistered operations was added.

Differential Revision: https://reviews.llvm.org/D99684
2021-04-02 12:45:35 -07:00
Alex Zinenko db694c52b4 [mlir] fix -Wsign-compare in memref unit tests 2021-03-26 19:38:13 +01:00
Vladislav Vinogradov 70b6f16e07 [mlir] Support MemRefType with multiple AffineMaps in getStridesAndOffset
Compose multiple AffineMaps into single map before strides extraction.

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D99166
2021-03-25 12:18:49 +03:00
Alex Zinenko 842d243508 [mlir] forward data layout query to scoping op in absence of specification
Even if the layout specification is missing from an op that supports it, the op
is still expected to provide meaningful responses to data layout queries.
Forward them to the op instead of directly calling the default implementation.

Depends On D98524

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D98525
2021-03-24 15:13:41 +01:00
Alex Zinenko f9cdc61d11 [mlir] provide a version of data layout size hooks in bits
This is useful for bit-packing types such as vectors and tuples as well as for
exotic architectures that have non-8-bit bytes.

Depends On D98500

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D98524
2021-03-24 15:13:40 +01:00
River Riddle 76f3c2f3f3 [mlir][Pattern] Add better support for using interfaces/traits to match root operations in rewrite patterns
To match an interface or trait, users currently have to use the `MatchAny` tag. This tag can be quite problematic for compile time for things like the canonicalizer, as the `MatchAny` patterns may get applied to  *every* operation. This revision adds better support by bucketing interface/trait patterns based on which registered operations have them registered. This means that moving forward we will only attempt to match these patterns to operations that have this interface registered. Two simplify defining patterns that match traits and interfaces, two new utility classes have been added: OpTraitRewritePattern and OpInterfaceRewritePattern.

Differential Revision: https://reviews.llvm.org/D98986
2021-03-23 14:05:33 -07:00
Chris Lattner 79d7f618af Rename FrozenRewritePatternList -> FrozenRewritePatternSet; NFC.
This nicely aligns the naming with RewritePatternSet.  This type isn't
as widely used, but we keep a using declaration in to help with
downstream consumption of this change.

Differential Revision: https://reviews.llvm.org/D99131
2021-03-22 17:40:45 -07:00
Chris Lattner dc4e913be9 [PatternMatch] Big mechanical rename OwningRewritePatternList -> RewritePatternSet and insert -> add. NFC
This doesn't change APIs, this just cleans up the many in-tree uses of these
names to use the new preferred names.  We'll keep the old names around for a
couple weeks to help transitions.

Differential Revision: https://reviews.llvm.org/D99127
2021-03-22 17:20:50 -07:00
Chris Lattner 3a506b31a3 Change OwningRewritePatternList to carry an MLIRContext with it.
This updates the codebase to pass the context when creating an instance of
OwningRewritePatternList, and starts removing extraneous MLIRContext
parameters.  There are many many more to be removed.

Differential Revision: https://reviews.llvm.org/D99028
2021-03-21 10:06:31 -07:00
Butygin a531bbd9ad [MLIR] Test pattern benefit sorting between operation specific and operation agnostic patterns.
Previously low benefit op-specific patterns never had a chance to match
even if high benefit op-agnostic pattern failed to match.

This was already fixed upstream, this commit just adds testscase

Differential Revision: https://reviews.llvm.org/D98513
2021-03-19 23:11:56 +03:00
Vladislav Vinogradov fee9054232 [mlir][ODS] Support specialized Attribute class for Enums
Add a feature to `EnumAttr` definition to generate
specialized Attribute class for the particular enumeration.

This class will inherit `StringAttr` or `IntegerAttr` and
will override `classof` and `getValue` methods.

With this class the enumeration predicate can be checked with simple
RTTI calls (`isa`, `dyn_cast`) and it will return the typed enumeration
directly instead of raw string/integer.

Based on the following discussion:
https://llvm.discourse.group/t/rfc-add-enum-attribute-decorator-class/2252

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D97836
2021-03-17 16:44:24 +03:00
Julian Gross e2310704d8 [MLIR] Create memref dialect and move dialect-specific ops from std.
Create the memref dialect and move dialect-specific ops
from std dialect to this dialect.

Moved ops:
AllocOp -> MemRef_AllocOp
AllocaOp -> MemRef_AllocaOp
AssumeAlignmentOp -> MemRef_AssumeAlignmentOp
DeallocOp -> MemRef_DeallocOp
DimOp -> MemRef_DimOp
MemRefCastOp -> MemRef_CastOp
MemRefReinterpretCastOp -> MemRef_ReinterpretCastOp
GetGlobalMemRefOp -> MemRef_GetGlobalOp
GlobalMemRefOp -> MemRef_GlobalOp
LoadOp -> MemRef_LoadOp
PrefetchOp -> MemRef_PrefetchOp
ReshapeOp -> MemRef_ReshapeOp
StoreOp -> MemRef_StoreOp
SubViewOp -> MemRef_SubViewOp
TransposeOp -> MemRef_TransposeOp
TensorLoadOp -> MemRef_TensorLoadOp
TensorStoreOp -> MemRef_TensorStoreOp
TensorToMemRefOp -> MemRef_BufferCastOp
ViewOp -> MemRef_ViewOp

The roadmap to split the memref dialect from std is discussed here:
https://llvm.discourse.group/t/rfc-split-the-memref-dialect-from-std/2667

Differential Revision: https://reviews.llvm.org/D98041
2021-03-15 11:14:09 +01:00
River Riddle 31bb8efd69 [mlir][StorageUniquer] Properly call the destructor on non-trivially destructible storage instances
This allows for storage instances to store data that isn't uniqued in the context, or contain otherwise non-trivial logic, in the rare situations that they occur. Storage instances with trivial destructors will still have their destructor skipped. A consequence of this is that the storage instance definition must be visible from the place that registers the type.

Differential Revision: https://reviews.llvm.org/D98311
2021-03-11 11:35:32 -08:00
Alex Zinenko 27104390e8 [mlir] fix cmake build 2021-03-11 18:22:00 +01:00
Alex Zinenko 3ba14fa0ce [mlir] Introduce data layout modeling subsystem
Data layout information allows to answer questions about the size and alignment
properties of a type. It enables, among others, the generation of various
linear memory addressing schemes for containers of abstract types and deeper
reasoning about vectors. This introduces the subsystem for modeling data
layouts in MLIR.

The data layout subsystem is designed to scale to MLIR's open type and
operation system. At the top level, it consists of attribute interfaces that
can be implemented by concrete data layout specifications; type interfaces that
should be implemented by types subject to data layout; operation interfaces
that must be implemented by operations that can serve as data layout scopes
(e.g., modules); and dialect interfaces for data layout properties unrelated to
specific types. Built-in types are handled specially to decrease the overall
query cost.

A concrete default implementation of these interfaces is provided in the new
Target dialect. Defaults for built-in types that match the current behavior are
also provided.

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D97067
2021-03-11 16:54:47 +01:00
Vladislav Vinogradov f3bf5c053b [mlir] Model MemRef memory space as Attribute
Based on the following discussion:
https://llvm.discourse.group/t/rfc-memref-memory-shape-as-attribute/2229

The goal of the change is to make memory space property to have more
expressive representation, rather then "magic" integer values.

It will allow to have more clean ASM form:

```
gpu.func @test(%arg0: memref<100xf32, "workgroup">)

// instead of

gpu.func @test(%arg0: memref<100xf32, 3>)
```

Explanation for `Attribute` choice instead of plain `string`:

* `Attribute` classes allow to use more type safe API based on RTTI.
* `Attribute` classes provides faster comparison operator based on
  pointer comparison in contrast to generic string comparison.
* `Attribute` allows to store more complex things, like structs or dictionaries.
  It will allows to have more complex memory space hierarchy.

This commit preserve old integer-based API and implements it on top
of the new one.

Depends on D97476

Reviewed By: rriddle, mehdi_amini

Differential Revision: https://reviews.llvm.org/D96145
2021-03-10 12:57:27 +03:00
River Riddle a776ecb6c2 [mlir][IR] Add an Operation::eraseOperands that supports batch erasure
This method allows for removing multiple disjoint operands at once, reducing the need to erase operands individually (which results in shifting the operand list).

Differential Revision: https://reviews.llvm.org/D98290
2021-03-09 15:07:53 -08:00
Alex Zinenko 19db802e7b [mlir] make implementations of translation to LLVM IR interfaces private
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
2021-03-04 09:16:32 +01:00
River Riddle e6260ad043 [mlir] Simplify various pieces of code now that Identifier has access to the Context/Dialect
This also exposed a bug in Dialect loading where it was not correctly identifying identifiers that had the dialect namespace as a prefix.

Differential Revision: https://reviews.llvm.org/D97431
2021-02-26 18:00:05 -08:00
River Riddle dc6a84fce6 [mlir] Add support for DebugCounters using the new DebugAction infrastructure
DebugCounters allow for selectively enabling the execution of a debug action based upon a "counter". This counter is comprised of two components that are used in the control of execution of an action, a "skip" value and a "count" value. The "skip" value is used to skip a certain number of initial executions of a debug action. The "count" value is used to prevent a debug action from executing after it has executed for a set number of times (not including any executions that have been skipped). For example, a counter for a debug action with `skip=47` and `count=2`, would skip the first 47 executions, then execute twice, and finally prevent any further executions.

This is effectively the same as the DebugCounter infrastructure in LLVM, but using the DebugAction infrastructure in MLIR. We can't simply reuse the DebugCounter support already present in LLVM due to its heavy reliance on global constructors (which are not allowed in MLIR). The DebugAction infrastructure already nicely supports the debug counter use case, and promotes the separation of policy and mechanism design philosophy.

Differential Revision: https://reviews.llvm.org/D96395
2021-02-23 01:01:17 -08:00
River Riddle 72d5afa4ac [mlir] Add a new debug action framework.
This revision adds the infrastructure for `Debug Actions`. This is a DEBUG only
API that allows for external entities to control various aspects of compiler
execution. This is conceptually similar to something like DebugCounters in LLVM, but at a lower level. This framework doesn't make any assumptions about how the higher level driver is controlling the execution, it merely provides a framework for connecting the two together. This means that on top of DebugCounter functionality, we could also provide more interesting drivers such as interactive execution. A high level overview of the workflow surrounding debug actions is
shown below:

*   Compiler developer defines an `action` that is taken by the a pass,
    transformation, utility that they are developing.
*   Depending on the needs, the developer dispatches various queries, pertaining
    to this action, to an `action manager` that will provide an answer as to
    what behavior the action should do.
*   An external entity registers an `action handler` with the action manager,
    and provides the logic to resolve queries on actions.

The exact definition of an `external entity` is left opaque, to allow for more
interesting handlers.

This framework was proposed here: https://llvm.discourse.group/t/rfc-debug-actions-in-mlir-debug-counters-for-the-modern-world

Differential Revision: https://reviews.llvm.org/D84986
2021-02-23 00:52:17 -08:00
Geoffrey Martin-Noble db011775e4 Reland "[MLIR] Make structured op tests permutation invariant"
Relands with fix swapping DEPENDS for LINK_LIBS.

This reverts commit cd8cc00b9e.

Differential Revision: https://reviews.llvm.org/D97011
2021-02-18 18:09:49 -08:00
Mehdi Amini cd8cc00b9e Revert "[MLIR] Make structured op tests permutation invariant"
This reverts commit b9ff67099a.
The build is broken with -DBUILD_SHARED_LIBS=ON
2021-02-19 00:16:45 +00:00
Geoffrey Martin-Noble b9ff67099a [MLIR] Make structured op tests permutation invariant
Extracts the relevant dimensions from the map under test to build up the
maps to test against in a permutation-invariant way.

This also includes a fix to the indexing maps used by
isColumnMajorMatmul. The maps as currently written do not describe a
column-major matmul. The linalg named op column_major_matmul has the
correct maps (and notably fails the current test).

If `C = matmul(A, B)` we want an operation that given A in column major
format and B in column major format produces C in column major format.
Given that for a matrix, faux column major is just transpose.
`column_major_matmul(transpose(A), transpose(B)) = transpose(C)`. If
`A` is `NxK` and `B` is `KxM`, then `C` is `NxM`, so `transpose(A)` is
`KxN`, `transpose(B)` is `MxK` and `transpose(C)` is `MxN`, not `NxM`
as these maps currently have.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D96984
2021-02-18 14:36:07 -08:00
Alexander Belyaev a89035d750 Revert "[MLIR] Create memref dialect and move several dialect-specific ops from std."
This commit introduced a cyclic dependency:
Memref dialect depends on Standard because it used ConstantIndexOp.
Std depends on the MemRef dialect in its EDSC/Intrinsics.h

Working on a fix.

This reverts commit 8aa6c3765b.
2021-02-18 12:49:52 +01:00
Julian Gross 8aa6c3765b [MLIR] Create memref dialect and move several dialect-specific ops from std.
Create the memref dialect and move several dialect-specific ops without
dependencies to other ops from std dialect to this dialect.

Moved ops:
AllocOp -> MemRef_AllocOp
AllocaOp -> MemRef_AllocaOp
DeallocOp -> MemRef_DeallocOp
MemRefCastOp -> MemRef_CastOp
GetGlobalMemRefOp -> MemRef_GetGlobalOp
GlobalMemRefOp -> MemRef_GlobalOp
PrefetchOp -> MemRef_PrefetchOp
ReshapeOp -> MemRef_ReshapeOp
StoreOp -> MemRef_StoreOp
TransposeOp -> MemRef_TransposeOp
ViewOp -> MemRef_ViewOp

The roadmap to split the memref dialect from std is discussed here:
https://llvm.discourse.group/t/rfc-split-the-memref-dialect-from-std/2667

Differential Revision: https://reviews.llvm.org/D96425
2021-02-18 11:29:39 +01:00
Jacques Pienaar 381a65fa06 [mlir] Add clone method to ShapedType
Allow clients to create a new ShapedType of the same "container" type
but with different element or shape. First use case is when refining
shape during shape inference without needing to consider which
ShapedType is being refined.

Differential Revision: https://reviews.llvm.org/D96682
2021-02-15 11:04:16 -08:00
Alex Zinenko 34ea608a47 [mlir] Support repeated delayed registration of dialect interfaces
Dialects themselves do not support repeated addition of interfaces with the
same TypeID. However, in case of delayed registration, the registry may contain
such an interface, or have the same interface registered several times due to,
e.g., dependencies. Make sure we delayed registration does not attempt to add
an interface with the same TypeID more than once.

Reviewed By: mehdi_amini

Differential Revision: https://reviews.llvm.org/D96606
2021-02-15 10:46:26 +01:00
Alex Zinenko b77bac0572 [mlir] Introduce dialect interfaces for translation to LLVM IR
The existing approach to translation to the LLVM IR relies on a single
translation supporting the base LLVM dialect, extensible through inheritance to
support intrinsic-based dialects also derived from LLVM IR such as NVVM and
AVX512. This approach does not scale well as it requires additional
translations to be created for each new intrinsic-based dialect and does not
allow them to mix in the same module, contrary to the rest of the MLIR
infrastructure. Furthermore, OpenMP translation ingrained itself into the main
translation mechanism.

Start refactoring the translation to LLVM IR to operate using dialect
interfaces. Each dialect that contains ops translatable to LLVM IR can
implement the interface for translating them, and the top-level translation
driver can operate on interfaces without knowing about specific dialects.
Furthermore, the delayed dialect registration mechanism allows one to avoid a
dependency on LLVM IR in the dialect that is translated to it by implementing
the translation as a separate library and only registering it at the client
level.

This change introduces the new mechanism and factors out the translation of the
"main" LLVM dialect. The remaining dialects will follow suit.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D96503
2021-02-12 17:49:44 +01:00
Mehdi Amini 09cfec6243 Fix CMake configuration for MLIR unittests
The CMake changes in 2aa1af9b1d to make it possible to build MLIR as a
standalone project unfortunately disabled all unit-tests from the
regular in-tree build.
2021-02-11 01:17:49 +00:00
Mehdi Amini 81987396ac Fix StridedMemRefType operator[] SFINAE to allow correctly selecting the `int64_t` overload for non-container operands 2021-02-10 20:02:11 +00:00
Mehdi Amini 9680ea5c98 Add convenience C++ helper to manipulate ranked strided memref
Reland 11f32a41c2 that was reverted in e49967fbd9 after fixing the build.

Differential Revision: https://reviews.llvm.org/D96192
2021-02-10 18:58:05 +00:00
Mehdi Amini e49967fbd9 Revert "Add convenience C++ helper to manipulate ranked strided memref"
This reverts commit 11f32a41c2.

The build is broken because this commit conflits with the refactoring of
the DialectRegistry APIs in the context. It'll reland shortly after
fixing the API usage.
2021-02-10 18:09:38 +00:00
Mehdi Amini 11f32a41c2 Add convenience C++ helper to manipulate ranked strided memref
Differential Revision: https://reviews.llvm.org/D96192
2021-02-10 17:40:36 +00:00
Alex Zinenko 2996a8d675 [mlir] avoid exposing mutable DialectRegistry from MLIRContext
MLIRContext allows its users to access directly to the DialectRegistry it
contains. While sometimes useful for registering additional dialects on an
already existing context, this breaks the encapsulation by essentially giving
raw accesses to a part of the context's internal state. Remove this mutable
access and instead provide a method to append a given DialectRegistry to the
one already contained in the context. Also provide a shortcut mechanism to
construct a context from an already existing registry, which seems to be a
common use case in the wild. Keep read-only access to the registry contained in
the context in case it needs to be copied or used for constructing another
context.

With this change, DialectRegistry is no longer concerned with loading the
dialects and deciding whether to invoke delayed interface registration. Loading
is concentrated in the MLIRContext, and the functionality of the registry
better reflects its name.

Depends On D96137

Reviewed By: mehdi_amini

Differential Revision: https://reviews.llvm.org/D96331
2021-02-10 12:07:34 +01:00
Alex Zinenko 3da51522fb [mlir] enable delayed registration of dialect interfaces
This introduces a mechanism to register interfaces for a dialect without making
the dialect itself depend on the interface. The registration request happens on
DialectRegistry and, if the dialect has not been loaded yet, the actual
registration is delayed until the dialect is loaded. It requires
DialectRegistry to become aware of the context that contains it and the context
to expose methods for querying if a dialect is loaded.

This mechanism will enable a simple extension mechanism for dialects that can
have interfaces defined outside of the dialect code. It is particularly helpful
for, e.g., translation to LLVM IR where we don't want the dialect itself to
depend on LLVM IR libraries.

Reviewed By: mehdi_amini

Differential Revision: https://reviews.llvm.org/D96137
2021-02-10 12:07:32 +01:00
Tres Popp c2c83e97c3 Revert "Revert "Reorder MLIRContext location in BuiltinAttributes.h""
This reverts commit 511dd4f438 along with
a couple fixes.

Original message:
Now the context is the first, rather than the last input.

This better matches the rest of the infrastructure and makes
it easier to move these types to being declaratively specified.

Phabricator: https://reviews.llvm.org/D96111
2021-02-08 10:39:58 +01:00
Tres Popp 511dd4f438 Revert "Reorder MLIRContext location in BuiltinAttributes.h"
This reverts commit 7827753f98.
2021-02-08 09:32:42 +01:00
Tres Popp 7827753f98 Reorder MLIRContext location in BuiltinAttributes.h
Now the context is the first, rather than the last input.

This better matches the rest of the infrastructure and makes
it easier to move these types to being declaratively specified.

Differential Revision: https://reviews.llvm.org/D96111
2021-02-08 09:28:09 +01:00
Mehdi Amini d6efb6fc86 Rework ExecutionEngine::invoke() to make it more friendly to use from C++
This new invoke will pack a list of argument before calling the
`invokePacked` method. It accepts returned value as output argument
wrapped in `ExecutionEngine::Result<T>`, and delegate the packing of
arguments to a trait to allow for customization for some types.

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D95961
2021-02-06 01:32:50 +00:00