The Vector Dialect [document](https://mlir.llvm.org/docs/Dialects/Vector/) discusses the vector abstractions that MLIR supports and the various tradeoffs involved.
One of the layer that is missing in OSS atm is the Hardware Vector Ops (HWV) level.
This revision proposes an AVX512-specific to add a new Dialect/Targets/AVX512 Dialect that would directly target AVX512-specific intrinsics.
Atm, we rely too much on LLVM’s peephole optimizer to do a good job from small insertelement/extractelement/shufflevector. In the future, when possible, generic abstractions such as VP intrinsics should be preferred.
The revision will allow trading off HW-specific vs generic abstractions in MLIR.
Differential Revision: https://reviews.llvm.org/D75987
Instead of creating extra libraries we don't really need, collect a
list of all dialects and use that instead.
Differential Revision: https://reviews.llvm.org/D75221
In the previous state, we were relying on forcing the linker to include
all libraries in the final binary and the global initializer to self-register
every piece of the system. This change help moving away from this model, and
allow users to compose pieces more freely. The current change is only "fixing"
the dialect registration and avoiding relying on "whole link" for the passes.
The translation is still relying on the global registry, and some refactoring
is needed to make this all more convenient.
Differential Revision: https://reviews.llvm.org/D74461
This binplaces `mlir-translate`, `mlir-cuda-runner`, and `mlir-cpu-runner` when building the CMake install target.
Differential Revision: https://reviews.llvm.org/D73986
MLIR translation tools can emit diagnostics and we want to be able to check if
it is indeed the case in tests. Reuse the source manager error handlers
provided for mlir-opt to support the verification in mlir-translate. This
requires us to change the signature of the functions that are registered to
translate sources to MLIR: it now takes a source manager instead of a memory
buffer.
PiperOrigin-RevId: 279132972
This commit introduces the ROCDL Dialect (i.e. the ROCDL ops + the code to lower those ROCDL ops to LLWM intrinsics/functions). Think of ROCDL Dialect as analogous to the NVVM Dialect, but for AMD GPUs. This patch contains just the essentials needed to get a simple example up and running. We expect to make further additions to the ROCDL Dialect.
This is the first of 3 commits, the follow-up will be:
* add a pass that lowers GPU Dialect to ROCDL Dialect
* add a "mlir-rocm-runner" utility
Closestensorflow/mlir#146
COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/mlir/pull/146 from deven-amd:deven-rocdl-dialect e78e8005c75a78912631116c78dc844fcc4b0de9
PiperOrigin-RevId: 271511259
Similar to mlir-opt, having a -split-input-file mode is quite useful
in mlir-translate. It allows to put logically related tests in the
same test file for better organization.
PiperOrigin-RevId: 270805467
This CL changes translation functions to take MemoryBuffer
as input and raw_ostream as output. It is generally better to
avoid handling files directly in a library (unless the library
is specifically for file manipulation) and we can unify all
file handling to the mlir-translate binary itself.
PiperOrigin-RevId: 269625911
Split out class to command line parser for translate methods into standalone
class. Similar to splitting up mlir-opt to reuse functionality with different
initialization.
PiperOrigin-RevId: 255225790
This CL adds the basic SPIR-V serializer and deserializer for converting
SPIR-V module into the binary format and back. Right now only an empty
module with addressing model and memory model is supported; (de)serialize
other components will be added gradually with subsequent CLs.
The purpose of this library is to enable importing SPIR-V binary modules
to run transformations on them and exporting SPIR-V modules to be consumed
by execution environments. The focus is transformations, which inevitably
means changes to the binary module; so it is not designed to be a general
tool for investigating the SPIR-V binary module and does not guarantee
roundtrip equivalence (at least for now).
PiperOrigin-RevId: 254473019
Report errors using the file and line location using SourceMgr's diagnostic reporting. Reduce some horizontal white spacing too.
--
PiperOrigin-RevId: 250193646
This is making up for some differences in standard library and linker flags.
It also get rid of the requirement to build with RTTI.
--
PiperOrigin-RevId: 241348845
Multiple binaries have the needs to open input files. Use this function
to de-duplicate the code.
Also changed openOutputFile() to return errors using std::string since
it is a library call and accessing I/O in library call is not friendly.
PiperOrigin-RevId: 228878221
This has been a long-standing TODO in the build system. Now that we need to
share the non-inlined implementation of file utilities for translators, create
a separate library for support functionality. Move Support/* headers to the
new library in the build system.
PiperOrigin-RevId: 222398880
Translations performed by mlir-translate only have MLIR on one end.
MLIR-to-MLIR conversions (including dialect changes) should be treated as
passes and run by mlir-opt. Individual translations should not care about
reading or writing MLIR and should work on in-memory representation of MLIR
modules instead. Split the TranslateFunction interface and the translate
registry into two parts: "from MLIR" and "to MLIR".
Update mlir-translate to handle both registries together by wrapping
translation functions into source-to-source convresions. Remove MLIR parsing
and writing from individual translations and make them operate on Modules
instead. This removes the need for individual translators to include
tools/mlir-translate/mlir-translate.h, which can now be safely removed.
Remove mlir-to-mlir translation that only existed as a registration example and
use mlir-opt instead for tests.
PiperOrigin-RevId: 222398707
The mlir-translate tool is expected to discover individual translations at link
time. These translations must register themselves and may need the utilities
that are currently defined in mlir-translate.cpp for their entry point
functions. Since mlir-translate is linking against individual translations,
the translations cannot link against mlir-translate themselves. Extract out
the utilities into a separate "Translation" library to avoid the potential
dependency cycle. Individual translations link to that library to access
TranslateRegistration. The mlir-translate tool links to individual translations
and to the "Translation" library because it needs the utilities as well.
The main header of the new library is located in include/mlir/Translation.h to
make it easily accessible by translators. The rationale for putting it to
include/mlir rather than to one of its subdirectories is that its purpose is
similar to that of include/mlir/Pass.h so it makes sense to put them at the
same level.
PiperOrigin-RevId: 222398617
Super thin slice that can convert a MLIR program (with addfs) to MLIR HLO dialect. Add this as translations to mlir-translate. Also add hlo::AddOp op and HLO op registration.
PiperOrigin-RevId: 214480409
Instead of linking in different initializeMLIRContext functions, add a registry mechanism and function to initialize all registered ops in a given MLIRContext. Initialize all registered ops along with the StandardOps when constructing a MLIRContext.
PiperOrigin-RevId: 214073842
mlir-translate is a tool to translate from/to MLIR. The translations are registered at link time and intended for use in tests. An identity transformation (mlir-to-mlir) is registered by default as example and used in the parser test where simply parsing & printing required.
The TranslateFunctions take filenames (instead of MemoryBuffer) to allow translations special write behavior (e.g., writing to uncommon filesystems).
PiperOrigin-RevId: 213370448
Nicolas Vasilache