Commit Graph

97 Commits

Author SHA1 Message Date
Butygin 7d85560583 [mlir] Add populateGpuToLLVMConversionPatterns function
Differential Revision: https://reviews.llvm.org/D107218
2021-08-01 11:51:21 +03:00
Alex Zinenko c1f719d1a7 [mlir] harden result type verification in llvm.call
The verifier of the llvm.call operation was not checking for mismatches between
the number of operation results and the number of results in the signature of
the callee. Furthermore, it was possible to construct an llvm.call operation
producing an SSA value of !llvm.void type, which should not exist. Add the
verification and treat !llvm.void result type as absence of call results.
Update the GPU conversions to LLVM that were mistakenly assuming that it was
fine for llvm.call to produce values of !llvm.void type and ensure these calls
do not produce results.

Reviewed By: mehdi_amini

Differential Revision: https://reviews.llvm.org/D106937
2021-07-28 18:15:56 +02:00
Alex Zinenko 881dc34f73 [mlir] replace llvm.mlir.cast with unrealized_conversion_cast
The dialect-specific cast between builtin (ex-standard) types and LLVM
dialect types was introduced long time before built-in support for
unrealized_conversion_cast. It has a similar purpose, but is restricted
to compatible builtin and LLVM dialect types, which may hamper
progressive lowering and composition with types from other dialects.
Replace llvm.mlir.cast with unrealized_conversion_cast, and drop the
operation that became unnecessary.

Also make unrealized_conversion_cast legal by default in
LLVMConversionTarget as the majority of convesions using it are partial
conversions that actually want the casts to persist in the IR. The
standard-to-llvm conversion, which is still expected to run last, cleans
up the remaining casts  standard-to-llvm conversion, which is still
expected to run last, cleans up the remaining casts

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D105880
2021-07-16 15:14:09 +02:00
Alex Zinenko 75e5f0aac9 [mlir] factor memref-to-llvm lowering out of std-to-llvm
After the MemRef has been split out of the Standard dialect, the
conversion to the LLVM dialect remained as a huge monolithic pass.
This is undesirable for the same complexity management reasons as having
a huge Standard dialect itself, and is even more confusing given the
existence of a separate dialect. Extract the conversion of the MemRef
dialect operations to LLVM into a separate library and a separate
conversion pass.

Reviewed By: herhut, silvas

Differential Revision: https://reviews.llvm.org/D105625
2021-07-09 14:49:52 +02:00
Alex Zinenko 684dfe8adb [mlir] factor out ConvertToLLVMPattern
This class and classes that extend it are general utilities for any dialect
that is being converted into the LLVM dialect. They are in no way specific to
Standard-to-LLVM conversion and should not make their users depend on it.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D105542
2021-07-08 10:27:05 +02:00
Uday Bondhugula 4acf3807e3 [MLIR] Split out GPU ops library from Transforms
Split out GPU ops library from GPU transforms. This allows libraries to
depend on GPU Ops without needing/building its transforms.

Differential Revision: https://reviews.llvm.org/D105472
2021-07-07 11:26:49 +05:30
Felipe de Azevedo Piovezan 8ca04b0513 [mlir] Add support for LLVM's dso_local attr
This patch brings support for setting runtime preemption specifiers of
LLVM's GlobalValues. In LLVM semantics, if the `dso_local` attribute
is not explicitly requested, then it is inferred based on linkage and
visibility. We model this same behavior with a UnitAttribute: if it is
present, then we explicitly request the GlobalValue to marked as
`dso_local`, otherwise we rely on the GlobalValue itself to make this
decision.

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D104983
2021-06-29 15:00:48 +02:00
Christian Sigg abe501f240 [mlir] Mark gpu dialect illegal in gpu-to-llvm conversion
Reviewed By: herhut, bondhugula

Differential Revision: https://reviews.llvm.org/D104208
2021-06-14 17:45:44 +02:00
Uday Bondhugula 9c21ddb70a [MLIR] Make MLIR cmake variable names consistent
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
2021-05-24 08:43:10 +05:30
Dumitru Potop 9a0ea5994b [mlir] Support alignment in LLVM dialect GlobalOp
First step in adding alignment as an attribute to MLIR global definitions. Alignment can be specified for global objects in LLVM IR. It can also be specified as a named attribute in the LLVMIR dialect of MLIR. However, this attribute has no standing and is discarded during translation from MLIR to LLVM IR. This patch does two things: First, it adds the attribute to the syntax of the llvm.mlir.global operation, and by doing this it also adds accessors and verifications. The syntax is "align=XX" (with XX being an integer), placed right after the value of the operation. Second, it allows transforming this operation to and from LLVM IR. It is checked whether the value is an integer power of 2.

Reviewed By: ftynse, mehdi_amini

Differential Revision: https://reviews.llvm.org/D101492
2021-05-12 09:07:20 +02:00
River Riddle 53b946aa63 [mlir] Refactor the representation of function-like argument/result attributes.
The current design uses a unique entry for each argument/result attribute, with the name of the entry being something like "arg0". This provides for a somewhat sparse design, but ends up being much more expensive (from a runtime perspective) in-practice. The design requires building a string every time we lookup the dictionary for a specific arg/result, and also requires N attribute lookups when collecting all of the arg/result attribute dictionaries.

This revision restructures the design to instead have an ArrayAttr that contains all of the attribute dictionaries for arguments and another for results. This design reduces the number of attribute name lookups to 1, and allows for O(1) lookup for individual element dictionaries. The major downside is that we can end up with larger memory usage, as the ArrayAttr contains an entry for each element even if that element has no attributes. If the memory usage becomes too problematic, we can experiment with a more sparse structure that still provides a lot of the wins in this revision.

This dropped the compilation time of a somewhat large TensorFlow model from ~650 seconds to ~400 seconds.

Differential Revision: https://reviews.llvm.org/D102035
2021-05-07 19:32:31 -07:00
Mehdi Amini 973ddb7d6e Define a `NoTerminator` traits that allows operations with a single block region to not provide a terminator
In particular for Graph Regions, the terminator needs is just a
historical artifact of the generalization of MLIR from CFG region.
Operations like Module don't need a terminator, and before Module
migrated to be an operation with region there wasn't any needed.

To validate the feature, the ModuleOp is migrated to use this trait and
the ModuleTerminator operation is deleted.

This patch is likely to break clients, if you're in this case:

- you may iterate on a ModuleOp with `getBody()->without_terminator()`,
  the solution is simple: just remove the ->without_terminator!
- you created a builder with `Builder::atBlockTerminator(module_body)`,
  just use `Builder::atBlockEnd(module_body)` instead.
- you were handling ModuleTerminator: it isn't needed anymore.
- for generic code, a `Block::mayNotHaveTerminator()` may be used.

Differential Revision: https://reviews.llvm.org/D98468
2021-03-25 03:59:03 +00:00
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
Christian Sigg a5f9cda173 [mlir] Rename gpu-to-llvm pass implementation file
Also remove populate patterns function and binary annotation name option.

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D98930
2021-03-19 13:58:13 +01:00
Christian Sigg 74ffe8dc59 [mlir] Remove ConvertKernelFuncToBlob
All users have been converted to gpu::SerializeToBlobPass.

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D98928
2021-03-19 09:33:47 +01:00
thomasraoux 44f24f3996 [mlir] Fix build failure due to 1a572f4 2021-03-18 14:58:32 -07:00
thomasraoux 1a572f4509 [mlir] Add vector op support to cuda-runner including vector.print
Differential Revision: https://reviews.llvm.org/D97346
2021-03-18 13:03:08 -07:00
Christian Sigg 2224221fb3 [mlir] Add NVVM to CUBIN conversion to mlir-opt
If MLIR_CUDA_RUNNER_ENABLED, register a 'gpu-to-cubin' conversion pass to mlir-opt.

The next step is to switch CUDA integration tests from mlir-cuda-runner to mlir-opt + mlir-cpu-runner and remove mlir-cuda-runner.

Depends On D98279

Reviewed By: herhut, rriddle, mehdi_amini

Differential Revision: https://reviews.llvm.org/D98203
2021-03-11 10:07:11 +01:00
Christian Sigg 4d295cf5b5 [mlir] Add base class for GpuKernelToBlobPass
Instead of configuring kernel-to-cubin/rocdl lowering through callbacks, introduce a base class that target-specific passes can derive from.

Put the base class in GPU/Transforms, according to the discussion in D98203.

The mlir-cuda-runner will go away shortly, and the mlir-rocdl-runner as well at some point. I therefore kept the existing code path working and will remove it in a separate step.

Depends On D98168

Reviewed By: herhut

Differential Revision: https://reviews.llvm.org/D98279
2021-03-10 12:14:43 +01:00
Christian Sigg 840ff84d33 [mlir] Default for gpu-binary-annotation option.
Provide default for gpuBinaryAnnotation so that we don't need to specify it in tests.

The annotation likely only needs to be target specific if we want to lower to e.g. both CUDA and ROCDL.

Reviewed By: herhut, bondhugula

Differential Revision: https://reviews.llvm.org/D98168
2021-03-09 21:01:50 +01:00
Marius Brehler 56774bdda5 [mlir] Replace deprecated 'getAttrs'
'getAttrs' has been explicitly marked deprecated. This patch refactors
to use Operation::getAttrs().

Reviewed By: csigg

Differential Revision: https://reviews.llvm.org/D97546
2021-02-26 14:52:40 +01:00
Christian Sigg f03826f896 Pass GPU events instead of streams across async regions.
Lower !gpu.async.tokens returned from async.execute regions to events instead of streams.

Make !gpu.async.token returned from !async.execute single-use.
This allows creating one event per use and destroying them without leaking or ref-counting.
Technically we only need this for stream/event-based lowering. I kept the code separate
from the rest of the gpu-async-region pass so that we can make this optional or move
to a separate pass as needed.

Reviewed By: herhut

Differential Revision: https://reviews.llvm.org/D96965
2021-02-25 13:18:18 +01:00
Christian Sigg eb8d6af5e4 [mlir] Specify cuda-runner pass pipeline as command line options.
The cuda-runner registers two pass pipelines for nested passes,
so that we don't have to use verbose textual pass pipeline specification.

Reviewed By: herhut

Differential Revision: https://reviews.llvm.org/D97091
2021-02-24 14:36:52 +01:00
Alex Zinenko 4c4876c314 [mlir] Use target-specific GPU kernel attributes in lowering pipelines
Until now, the GPU translation to NVVM or ROCDL intrinsics relied on the
presence of the generic `gpu.kernel` attribute to attach additional LLVM IR
metadata to the relevant functions. This would be problematic if each dialect
were to handle the conversion of its own options, which is the intended
direction for the translation infrastructure. Introduce `nvvm.kernel` and
`rocdl.kernel` in addition to `gpu.kernel` and base translation on these new
attributes instead.

Reviewed By: herhut

Differential Revision: https://reviews.llvm.org/D96591
2021-02-12 14:09:24 +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
Christian Sigg 8d73bee4ed [mlir] Add gpu async integration test.
Reviewed By: herhut

Differential Revision: https://reviews.llvm.org/D94421
2021-02-03 21:45:23 +01:00
Christian Sigg d59ddba777 [mlir] Fix gpu-to-llvm lowering for gpu.alloc with dynamic sizes.
Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D94402
2021-01-11 15:55:48 +01:00
Alex Zinenko dd5165a920 [mlir] replace LLVM dialect float types with built-ins
Continue the convergence between LLVM dialect and built-in types by replacing
the bfloat, half, float and double LLVM dialect types with their built-in
counterparts. At the API level, this is a direct replacement. At the syntax
level, we change the keywords to `bf16`, `f16`, `f32` and `f64`, respectively,
to be compatible with the built-in type syntax. The old keywords can still be
parsed but produce a deprecation warning and will be eventually removed.

Depends On D94178

Reviewed By: mehdi_amini, silvas, antiagainst

Differential Revision: https://reviews.llvm.org/D94179
2021-01-08 17:38:12 +01:00
Alex Zinenko 2230bf99c7 [mlir] replace LLVMIntegerType with built-in integer type
The LLVM dialect type system has been closed until now, i.e. did not support
types from other dialects inside containers. While this has had obvious
benefits of deriving from a common base class, it has led to some simple types
being almost identical with the built-in types, namely integer and floating
point types. This in turn has led to a lot of larger-scale complexity: simple
types must still be converted, numerous operations that correspond to LLVM IR
intrinsics are replicated to produce versions operating on either LLVM dialect
or built-in types leading to quasi-duplicate dialects, lowering to the LLVM
dialect is essentially required to be one-shot because of type conversion, etc.
In this light, it is reasonable to trade off some local complexity in the
internal implementation of LLVM dialect types for removing larger-scale system
complexity. Previous commits to the LLVM dialect type system have adapted the
API to support types from other dialects.

Replace LLVMIntegerType with the built-in IntegerType plus additional checks
that such types are signless (these are isolated in a utility function that
replaced `isa<LLVMType>` and in the parser). Temporarily keep the possibility
to parse `!llvm.i32` as a synonym for `i32`, but add a deprecation notice.

Reviewed By: mehdi_amini, silvas, antiagainst

Differential Revision: https://reviews.llvm.org/D94178
2021-01-07 19:48:31 +01:00
Kazuaki Ishizaki f88fab5006 [mlir] NFC: fix trivial typos
fix typo under include and lib directories

Reviewed By: antiagainst

Differential Revision: https://reviews.llvm.org/D94220
2021-01-08 02:10:12 +09:00
Alex Zinenko c69c9e0f0f [mlir] Remove LLVMType, LLVM dialect types now derive Type directly
BEGIN_PUBLIC
[mlir] Remove LLVMType, LLVM dialect types now derive Type directly

This class has become a simple `isa` hook with no proper functionality.
Removing will allow us to eventually make the LLVM dialect type infrastructure
open, i.e., support non-LLVM types inside container types, which itself will
make the type conversion more progressive.

Introduce a call `LLVM::isCompatibleType` to be used instead of
`isa<LLVMType>`. For now, this is strictly equivalent.
END_PUBLIC

Depends On D93681

Reviewed By: mehdi_amini

Differential Revision: https://reviews.llvm.org/D93713
2021-01-05 17:36:54 +01:00
Alex Zinenko 7ed9cfc7b1 [mlir] Remove static constructors from LLVMType
LLVMType contains numerous static constructors that were initially introduced
for API compatibility with LLVM. Most of these merely forward to arguments to
`SpecificType::get` (MLIR defines classes for all types, unlike LLVM IR), while
some introduce subtle semantics differences due to different modeling of MLIR
types (e.g., structs are not auto-renamed in case of conflicts). Furthermore,
these constructors don't match MLIR idioms and actively prevent us from making
the LLVM dialect type system more open. Remove them and use `SpecificType::get`
instead.

Depends On D93680

Reviewed By: mehdi_amini

Differential Revision: https://reviews.llvm.org/D93681
2020-12-23 13:12:47 +01:00
Christian Sigg 19a0d0a40c [mlir] Rename ConvertToLLVMPattern::isSupportedMemRefType() to isConvertibleAndHasIdentityMaps().
Reviewed By: ftynse, herhut

Differential Revision: https://reviews.llvm.org/D93752
2020-12-23 12:23:29 +01:00
Alex Zinenko 8de43b926f [mlir] Remove instance methods from LLVMType
LLVMType contains multiple instance methods that were introduced initially for
compatibility with LLVM API. These methods boil down to `cast` followed by
type-specific call. Arguably, they are mostly used in an LLVM cast-follows-isa
anti-pattern. This doesn't connect nicely to the rest of the MLIR
infrastructure and actively prevents it from making the LLVM dialect type
system more open, e.g., reusing built-in types when appropriate. Remove such
instance methods and replaces their uses with apporpriate casts and methods on
derived classes. In some cases, the result may look slightly more verbose, but
most cases should actually use a stricter subtype of LLVMType anyway and avoid
the isa/cast.

Reviewed By: mehdi_amini

Differential Revision: https://reviews.llvm.org/D93680
2020-12-22 23:34:54 +01:00
Christian Sigg df6cbd37f5 [mlir] Lower gpu.memcpy to GPU runtime calls.
Reviewed By: herhut

Differential Revision: https://reviews.llvm.org/D93204
2020-12-22 22:49:19 +01:00
Christian Sigg 1ffc1aaa09 [mlir] Use mlir::OpState::operator->() to get to methods of mlir::Operation.
This is a preparation step to remove those methods from OpState.

Reviewed By: mehdi_amini

Differential Revision: https://reviews.llvm.org/D93098
2020-12-13 09:58:16 +01:00
Rahul Joshi 563879b6f9 [NFC] Use ConvertOpToLLVMPattern instead of ConvertToLLVMPattern.
- use ConvertOpToLLVMPattern to avoid explicit casting and in most cases the
  constructor can be reused to save a few lines of code.

Differential Revision: https://reviews.llvm.org/D92989
2020-12-10 09:33:43 -08:00
Christian Sigg 0bf4a82a5a [mlir] Use mlir::OpState::operator->() to get to methods of mlir::Operation. This is a preparation step to remove the corresponding methods from OpState.
Reviewed By: silvas, rriddle

Differential Revision: https://reviews.llvm.org/D92878
2020-12-09 12:11:32 +01:00
Christian Sigg dcec2ca5bd Remove typeConverter from ConvertToLLVMPattern and use the existing one in ConversionPattern.
ftynse

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D92564
2020-12-04 14:27:16 +01:00
River Riddle 09f7a55fad [mlir][Types][NFC] Move all of the builtin Type classes to BuiltinTypes.h
This is part of a larger refactoring the better congregates the builtin structures under the BuiltinDialect. This also removes the problematic "standard" naming that clashes with the "standard" dialect, which is not defined within IR/. A temporary forward is placed in StandardTypes.h to allow time for downstream users to replaced references.

Differential Revision: https://reviews.llvm.org/D92435
2020-12-03 18:02:10 -08:00
Christian Sigg c4a0405902 Add `Operation* OpState::operator->()` to provide more convenient access to members of Operation.
Given that OpState already implicit converts to Operator*, this seems reasonable.

The alternative would be to add more functions to OpState which forward to Operation.

Reviewed By: rriddle, ftynse

Differential Revision: https://reviews.llvm.org/D92266
2020-12-02 15:46:20 +01:00
Christian Sigg e9e45b3887 [mlir] Fix bad rebase landed in acb69f3b7c.
Differential Revision: https://reviews.llvm.org/D92265
2020-11-28 13:57:01 +01:00
Christian Sigg acb69f3b7c [mlir] Change ConvertOpToLLVMPattern::matchAndRewrite argument to concrete operand type.
Reviewed By: herhut, ftynse

Differential Revision: https://reviews.llvm.org/D92111
2020-11-28 13:09:25 +01:00
Christian Sigg 5535696c38 [mlir] Add gpu.allocate, gpu.deallocate ops with LLVM lowering to runtime function calls.
The ops are very similar to the std variants, but support async GPU execution.

gpu.alloc does not currently support an alignment attribute, and the new ops do not have
canonicalizers/folders like their std siblings do.

Reviewed By: herhut

Differential Revision: https://reviews.llvm.org/D91698
2020-11-27 09:40:59 +01:00
Ella Ma 1756d67934 [llvm][clang][mlir] Add checks for the return values from Target::createXXX to prevent protential null deref
All these potential null pointer dereferences are reported by my static analyzer for null smart pointer dereferences, which has a different implementation from `alpha.cplusplus.SmartPtr`.

The checked pointers in this patch are initialized by Target::createXXX functions. When the creator function pointer is not correctly set, a null pointer will be returned, or the creator function may originally return a null pointer.

Some of them may not make sense as they may be checked before entering the function, but I fixed them all in this patch. I submit this fix because 1) similar checks are found in some other places in the LLVM codebase for the same return value of the function; and, 2) some of the pointers are dereferenced before they are checked, which may definitely trigger a null pointer dereference if the return value is nullptr.

Reviewed By: tejohnson, MaskRay, jpienaar

Differential Revision: https://reviews.llvm.org/D91410
2020-11-21 21:04:12 -08:00
River Riddle 65fcddff24 [mlir][BuiltinDialect] Resolve comments from D91571
* Move ops to a BuiltinOps.h
* Add file comments
2020-11-19 11:12:49 -08:00
River Riddle 73ca690df8 [mlir][NFC] Remove references to Module.h and Function.h
These includes have been deprecated in favor of BuiltinDialect.h, which contains the definitions of ModuleOp and FuncOp.

Differential Revision: https://reviews.llvm.org/D91572
2020-11-17 00:55:47 -08:00