This binary is used in LIT tests.
Test: `bazel run --config=generic_clang -c opt @llvm-project//llvm:llvm-remark-size-diff -- --help`
Reviewed By: dblaikie
Differential Revision: https://reviews.llvm.org/D121742
previously the support_standalone_cpp target contained all of the files
in the __support/cpp folder. This change splits these out so that only
what is needed is included. In addition, this change adds the new
support files that previously didn't have targets.
Reviewed By: lntue, gchatelet
Differential Revision: https://reviews.llvm.org/D121314
This improves the modularity of the bufferization.
From now on, all ops that do not implement BufferizableOpInterface are considered hoisting barriers. Previously, all ops that do not implement the interface were not considered barriers and such ops had to be marked as barriers explicitly. This was unsafe because we could've hoisted across unknown ops where it was not safe to hoist.
As a side effect, this allows for cleaning up AffineBufferizableOpInterfaceImpl. This build unit no longer needed and can be deleted.
Differential Revision: https://reviews.llvm.org/D121519
Add support for translating data layout specifications for integer and float
types between MLIR and LLVM IR. This is a first step towards removing the
string-based LLVM dialect data layout attribute on modules. The latter is still
available and will remain so until the first-class MLIR modeling can fully
replace it.
Depends On D120739
Reviewed By: wsmoses
Differential Revision: https://reviews.llvm.org/D120740
See post-commit discussion on https://reviews.llvm.org/D120305.
This change breaks the clang-ppc64le-rhel buildbot, though
there is suspicion that it's an issue with the bot. The change
also had a larger than expected impact on compile-time and
code-size.
This reverts commit 3c4ed02698
and some followup changes.
Previously, OpDSL operation used hardcoded type conversion operations (cast or cast_unsigned). Supporting signed and unsigned casts thus meant implementing two different operations. Type function attributes allow us to define a single operation that has a cast type function attribute which at operation instantiation time may be set to cast or cast_unsigned. We may for example, defina a matmul operation with a cast argument:
```
@linalg_structured_op
def matmul(A=TensorDef(T1, S.M, S.K), B=TensorDef(T2, S.K, S.N), C=TensorDef(U, S.M, S.N, output=True),
cast=TypeFnAttrDef(default=TypeFn.cast)):
C[D.m, D.n] += cast(U, A[D.m, D.k]) * cast(U, B[D.k, D.n])
```
When instantiating the operation the attribute may be set to the desired cast function:
```
linalg.matmul(lhs, rhs, outs=[out], cast=TypeFn.cast_unsigned)
```
The revsion introduces a enum in the Linalg dialect that maps one-by-one to the type functions defined by OpDSL.
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D119718
Default the option introduced in D113372 to ON to match all(?) major Linux
distros. This matches GCC and improves consistency with Android and linux-musl
which always default to PIE.
Note: CLANG_DEFAULT_PIE_ON_LINUX will be removed in the future.
Reviewed By: thesamesam
Differential Revision: https://reviews.llvm.org/D120305
This transformation is useful to break dependency between consecutive loop
iterations by increasing the size of a temporary buffer. This is usually
combined with heavy software pipelining.
Differential Revision: https://reviews.llvm.org/D119406
It is time to compose Linalg related optimizations with SparseTensor
related optimizations. This is a careful first start by adding some
general Linalg optimizations "upstream" of the sparse compiler in the
full sparse compiler pipeline. Some minor changes were needed to make
those optimizations aware of sparsity.
Note that after this, we will add a sparse specific fusion rule,
just to demonstrate the power of the new composition.
Reviewed By: bixia
Differential Revision: https://reviews.llvm.org/D119971
This commit adds a pattern to wrap a tensor.pad op with
an scf.if op to separate the cases where we don't need padding
(all pad sizes are actually zeros) and where we indeed need
padding.
This pattern is meant to handle padding inside tiled loops.
Under such cases the padding sizes typically depend on the
loop induction variables. Splitting them would allow treating
perfect tiles and edge tiles separately.
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D117018
The pad-slice swap pattern generates `scf.if` and `tensor.generate`
to guard against zero-sized slices if it cannot prove the slice is
always non-zero. This is safe but quite conservative. It can be
unnecessary for cases where we know by problem definition such cases
does not exist, even if with dynamic shaped ops or unknown tile/slice
sizes, e.g., convolution padding size = 1 with kernel dim size = 3.
So this commit introduces a control to the pattern to specify
whether to generate the if constructs to handle such cases better,
given that once the if constructs is materialized, it's very hard
to analyze and simplify.
Reviewed By: mravishankar
Differential Revision: https://reviews.llvm.org/D117017
Rationale:
empty line between main include for this file
moved include that actually defines code into right section
Note that this revision started as breaking up ops/attrs even more
(for bug https://github.com/llvm/llvm-project/issues/52748), but due
the the connection in Dialect.initalize(), this cannot be split further).
All heavy lifting refactoring was already done by River in previous cleanup.
Reviewed By: bixia
Differential Revision: https://reviews.llvm.org/D119617
Makes lld-link work in a non-MSVC shell by autodetecting MSVC toolchain. Also
adds support for /winsysroot and a few other switches.
All this is done by refactoring to share code with clang-cl's existing support
for the same.
Differential Revision: https://reviews.llvm.org/D118070
Although type punning is defined for union in C, it is UB in C++.
This patch introduces a bit_cast function to convert between types in a safe way.
This is necessary to get llvm-libc compile with GCC.
This patch is extracted from D119002.
Differential Revision: https://reviews.llvm.org/D119145
Build failures are not a particularly helpful way to enforce not using
deprecated APIs and that isn't the point of the Bazel build.
At the same time, this removes `-Wno-unused` this is a check that we do
enforce in the Google internal build and so are ok maintaining in our
maintenance of the upstream Bazel build (the comment about not wanting
to do so was from a time when this was in a separate repository and I was
the only one maintaining it).
Differential Revision: https://reviews.llvm.org/D118671
D116542 adds EmbedBufferInModule which introduces a layer violation
(https://llvm.org/docs/CodingStandards.html#library-layering).
See 2d5f857a1e for detail.
EmbedBufferInModule does not use BitcodeWriter functionality and should be moved
LLVMTransformsUtils. While here, change the function case to the prevailing
convention.
It seems that EmbedBufferInModule just follows the steps of
EmbedBitcodeInModule. EmbedBitcodeInModule calls WriteBitcodeToFile but has IR
update operations which ideally should be refactored to another library.
Reviewed By: jhuber6
Differential Revision: https://reviews.llvm.org/D118666
There is a layer violation and can break clang -fmodule-name=X -fmodules-strict-decluse builds:
* LLVMTransformUtils has `#include "llvm/Bitcode/BitcodeWriterPass.h"`
* LLVMBitWriter depends on LLVMTransformUtils after D116542
Temporarily work around the issue.
This reduces the dependencies of the MLIRVector target and makes the dialect consistent with other dialects.
Differential Revision: https://reviews.llvm.org/D118533
Also reimplement `std-bufferize` in terms of BufferizableOpInterface-based bufferization. The old `std.select` bufferization pattern is no longer needed and deleted.
Differential Revision: https://reviews.llvm.org/D118559
Refactor sqrt implementations:
- Move architecture specific instructions from `src/math/<arch>` to `src/__support/FPUtil/<arch>` folder.
- Move generic implementation of `sqrt` to `src/__support/FPUtil/generic` folder and add it as a header library.
- Use `src/__support/FPUtil/sqrt.h` for architecture/generic selections.
- Add unit tests for generic implementation of `sqrt`.
Reviewed By: sivachandra
Differential Revision: https://reviews.llvm.org/D118173
This would have enabled me to notice the MLIR test file needed updating too, preventing the test file of 2074eef5db from being necessary.
layering_check is already enabled in mlir/BUILD.bazel. I don't know why I didn't see the other breakage there.
Differential Revision: https://reviews.llvm.org/D118125
The underlying issue here is that line 125 checks if linkopts was assigned (by line 120) but it's not initialized, so that becomes a crash. This was noticed by someone trying to use Docker, so no terminfo library installed.
Reviewed By: GMNGeoffrey
Differential Revision: https://reviews.llvm.org/D118270
No longer go through an external model. Also put BufferizableOpInterface into the same build target as the BufferizationDialect. This allows for some code reuse between BufferizationOps canonicalizers and BufferizableOpInterface implementations.
Differential Revision: https://reviews.llvm.org/D117987
This is in preparation of unifying the existing bufferization with One-Shot bufferization.
A subsequent commit will replace `tensor-bufferize`'s implementation with the BufferizableOpInterface-based implementation and move over missing test cases.
Differential Revision: https://reviews.llvm.org/D117984
This commit is the first step towards unifying core bufferization and One-Shot Bufferize.
This commit does not move over the implementations of BufferizableOpInterface yet. This will be done in separate commits. This change does also not move the unit tests yet. The tests will be moved together with op interface implementations and split into separate files.
Differential Revision: https://reviews.llvm.org/D117641
The code in `BufferizableOpInterface`'s header/source no longer contains any analysis code. This makes it easier to run the bufferization with a different analysis or without any analysis.
Differential Revision: https://reviews.llvm.org/D117478
If not allow-return-memref, raise an error if a new memory allocation is returned/yielded from a block. We do not check for new allocations directly, but for ops that yield/return values that are not equivalent to values that are defined outside of the current of the block.
Note: We still need to check that scf.for yield values and bbArgs are aliasing to ensure that getAliasingOpOperand/getAliasingOpResult is correct.
Differential Revision: https://reviews.llvm.org/D116687
This is important because *Objects targets need to only depend on other *Objects targets, not on the unsuffixed CAPI rules. Depending on how it is linked in the current setup, it can cause duplicate symbols.
Differential Revision: https://reviews.llvm.org/D117176
Dynamic batch for rescale, gather, max_pool, avg_pool, conv2D and depthwise_conv2D. Split helper functions into a separate header file.
Reviewed By: rsuderman
Differential Revision: https://reviews.llvm.org/D117031
This op is an example for how to deal with ops who's OpResult may aliasing with one of multiple OpOperands.
Differential Revision: https://reviews.llvm.org/D116868
This change simplifies BufferizableOpInterface and other functions. Overall, the API will get smaller: Functions related to custom IR traversal are deleted entirely. This will makes it easier to write BufferizableOpInterface implementations.
This is also in preparation of unifying Comprehensive Bufferize and core bufferization. While Comprehensive Bufferize could theoretically maintain its own IR traversal, there is no reason to do so, because all bufferize implementations in BufferizableOpInterface have to support partial bufferization anyway. And we can share a larger part of the code base between the two bufferizations.
Differential Revision: https://reviews.llvm.org/D116448
Although we moved to Github Issues. The bug report message refers to
Bugzilla still. This patch tries to update these URLs.
Reviewed By: MaskRay, Quuxplusone, jhenderson, libunwind, libc++
Differential Revision: https://reviews.llvm.org/D116351
Historically, the bindings for the Linalg dialect were included into the
"core" bindings library because they depended on the C++ implementation
of the "core" bindings. The other dialects followed the pattern. Now
that this dependency is gone, split out each dialect into a separate
Python extension library.
Depends On D116649, D116605
Reviewed By: stellaraccident
Differential Revision: https://reviews.llvm.org/D116662
So far, only the custom dialect types are exposed.
The build and packaging is same as for Linalg and SparseTensor, and in
need of refactoring that is beyond the scope of this patch.
Reviewed By: stellaraccident
Differential Revision: https://reviews.llvm.org/D116605
This moves a bunch of helper functions from `Transforms/SparseTensorConversion.cpp` into `Transforms/CodegenUtils.{cpp,h}` so that they can be reused by `Transforms/Sparsification.cpp`, etc.
See also the dependent D115010 which cleans up some corner cases in this change.
Reviewed By: aartbik, rriddle
Differential Revision: https://reviews.llvm.org/D115008
This reverts 3816c53f04 and removes follow-up
fixups.
The original intention was to show error earlier (posix_fallocate time) than
later for ld.lld but it appears to cause some problems which make it not free.
* FreeBSD ZFS: EINVAL, not too bad.
* FreeBSD UFS: according to khng "devastatingly slow on freebsd because UFS on freebsd does not have preallocation support like illumos. It zero-fills."
* NetBSD: maybe EOPNOTSUPP
* Linux tmpfs: unless tmpfs is set up to use huge pages (requires CONFIG_TRANSPARENT_HUGE_PAGECACHE=y), I can consistently demonstrate ~300ms delay for a 1.4GiB output.
* Linux ext4: I don't measure any benefit, either backed by a hard disk or by a file in tmpfs.
* The current code organization of `defined(HAVE_POSIX_FALLOCATE)` costs us a macro dispatch for AIX.
I think we should just remove it. I think if posix_fallocate ever finds demonstrable benefit,
it is likely Linux specific and will not need HAVE_POSIX_FALLOCATE, and possibly opt-in by some specific programs.
In a filesystem with CoW and compression, the ENOSPC benefit may be lost as well.
Reviewed By: khng300
Differential Revision: https://reviews.llvm.org/D115957
`EnumAttr` is a pure TableGen implementation of enum attributes using `AttrDef`. This is meant as a drop-in replacement for `StrEnumAttr`, which is soon to be deprecated. `StrEnumAttr` is often used over `IntEnumAttr` because its more readable in MLIR assembly formats. However, storing and manipulating strings is not efficient. Defining `StrEnumAttr` can also be awkward and relies on a lot of special logic in `EnumsGen`, and has some hidden sharp edges.
Also, `EnumAttr` stores the enum directly, removing the need to convert to/from integers when calling attribute getters on ops.
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D115181
This patch extends the GPU kernel outlining pass so that it can take in
an optional data layout specification that will be attached to the GPU
module operation generated. If the data layout specification is not provided
the default data layout is used instead.
Reviewed By: herhut, mehdi_amini
Differential Revision: https://reviews.llvm.org/D115722
This is a new pattern rewrite frontend designed from the ground
up to support MLIR constructs, and to target PDL. This frontend
language was proposed in https://llvm.discourse.group/t/rfc-pdll-a-new-declarative-rewrite-frontend-for-mlir/4798
This commit starts sketching out the base structure of the
frontend, and is intended to be a minimal starting point for
building up the language. It essentially contains support for
defining a pattern, variables, and erasing an operation. The
features mentioned in the proposal RFC (including IDE support)
will be added incrementally in followup commits.
I intend to upstream the documentation for the language in a
followup when a bit more of the pieces have been landed.
Differential Revision: https://reviews.llvm.org/D115093
After removing the range type, Linalg does not define any type. The revision thus consolidates the LinalgOps.h and LinalgTypes.h into a single Linalg.h header. Additionally, LinalgTypes.cpp is renamed to LinalgDialect.cpp to follow the convention adopted by other dialects such as the tensor dialect.
Depends On D115727
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D115728
Instead of modifying the existing linalg.tiled_loop op, create a new op with memref input/outputs and delete the old op.
Differential Revision: https://reviews.llvm.org/D115493
Instead of modifying the existing scf.for op, create a new op with memref OpOperands/OpResults and delete the old op.
New allocations / other memrefs can now be yielded from the loop. This functionality is deactivated by default and guarded against by AssertDestinationPassingStyle.
This change also introduces `replaceOp`, which will be utilized by all other `bufferize` implementations in future commits. Bufferization will then no longer rely on old (pre-bufferize) ops to DCE away. Instead old ops are deleted on the spot. This improves debuggability because there won't be any duplicate ops anymore (bufferized + not-yet-bufferized) when dumping IR during bufferization. It is also less fragile because unbufferized IR can no longer silently "hang around" due to an implementation bug.
Differential Revision: https://reviews.llvm.org/D114926
In 2015-05, GCC added the configure option `--enable-default-pie`. When enabled,
* in the absence of -fno-pic/-fpie/-fpic (and their upper-case variants), -fPIE is the default.
* in the absence of -no-pie/-pie/-shared/-static/-static-pie, -pie is the default.
This has been adopted by all(?) major distros.
I think default PIE is the majority in the Linux world, but
--disable-default-pie users is not that uncommon because GCC upstream hasn't
switched the default yet (https://gcc.gnu.org/PR103398).
This patch add CLANG_DEFAULT_PIE_ON_LINUX which allows distros to use default PIE.
The option is justified as its adoption can be very high among Linux distros
to make Clang default match GCC, and is likely a future-new-default, at which
point we will remove CLANG_DEFAULT_PIE_ON_LINUX.
The lit feature `default-pie-on-linux` can be handy to exclude default PIE sensitive tests.
Reviewed By: foutrelis, sylvestre.ledru, thesamesam
Differential Revision: https://reviews.llvm.org/D113372
This patch provides a draft overlay to support compilation of llvm libc with Bazel.
Tested on linux x86-64 with
```
cd git/llvm-project/utils/bazel
bazelisk-linux-amd64 build --sandbox_base=/dev/shm --config=generic_clang @llvm-project//libc:all
```
Differential Revision: https://reviews.llvm.org/D114712
This change provides `BufferizableOpInterface` implementations for ops from the Bufferization dialects. These ops are needed at the bufferization boundaries for partial bufferization.
Differential Revision: https://reviews.llvm.org/D114618
This cmake configure option was added in
df0ba47c36, and was ported to
Bazel in 7d323dc773.
However, the setting chosen in Bazel seems accidental, not necessarily
intentional.
LLVM_WINDOWS_PREFER_FORWARD_SLASH has no effect on Unix, and on
Windows, setting it to 0 is the default, which gets the same behaviour
as before. Setting it to 1 enables new experimental behaviours
(which is enabled by default on MinGW targets only).
As I don't see any explicit intent to opt in to the new experimental
behaviour, I believe the current configuration in bazel was a
mistake.
Differential Revision: https://reviews.llvm.org/D114065
They aren't needed anymore, we handle conditional compilation in those
files.
Reviewed By: GMNGeoffrey
Differential Revision: https://reviews.llvm.org/D114970
Bufferization of function boundaries is extracted from ComprehensiveBufferize into a separate file. This will become its own build target in the future.
Differential Revision: https://reviews.llvm.org/D114226
This reverts commit 3028bca6a9.
For some reason using FallbackModel works with CMake and does not work
with bazel. Using `ExternalModel` works. I will check what's going on
and resubmit tomorrow.
Remove the interface from op defs in MemRefOps.td and make it an external model.
This is the first PR of many that will move bufferization-related ops, interfaces, passes to Dialect/Bufferize.
RFC: https://llvm.discourse.group/t/rfc-dialect-for-bufferization-related-ops/4712
It is still debated if the comprehensive bufferization has to be moved there as well, so for now I am just moving the "gradual" bufferization.
Differential Revision: https://reviews.llvm.org/D114147
This reverts commit a9e236bed8.
This broke the Windows build:
mlir\include\mlir/Dialect/X86Vector/Transforms.h(28): error C2061: syntax error: identifier 'uint'
Step towards removing the hard coded behavior for this trait and to instead use common interface.
Differential Revision: https://reviews.llvm.org/D114208
This feature checks that headers included by a file are provided by a
header exported by one of the direct dependencies of the build rule in
which it is contained. It ensures that appropriate layering (a goal of
the LLVM project) is preserved. So far, I'm only adding this to MLIR
because we've had it turned on internally since the beginning, so MLIR
is already layering clean. It would be nice to also enable it for LLVM,
but that requires some additional cleanup.
Reviewed By: jpienaar
Differential Revision: https://reviews.llvm.org/D113952
We noticed that the library structure causes link ordering problems in Google's internal build. However, we don't think the problem is specific to Google's build, it probably can be reproduced anywhere with the right library structure.
In general splitting the Python bindings from their dependencies (the C API targets) creates the possibility that the two libraries might end up in the wrong order on the linker command line. We can avoid this problem happening by reverting the structure of the MLIRBindingsPythonCore to represent its dependencies in the usual way, rather than composing an incomplete `MLIRBindingsPythonCoreNoCAPI` target and their CAPI dependencies. It was probably a mistake to rewrite this particular `cc_library()` rule in terms of the two, since nothing guarantees that the two will be correctly ordered by the linker when both are being linked into the same binary, and it was only an incidental "cleanup" done in passing.
Otherwise the previous PR (D113565) is fine, since that was about the case where both are being built into two separate shared libraries. It just shouldn't have made this (unrelated) change.
Reviewed By: GMNGeoffrey
Differential Revision: https://reviews.llvm.org/D113773
This allows clients to build, e.g., the Python bindings against the C API headers, without including the C API implementations. This is useful when distributing software as multiple shared libraries.
Reviewed By: GMNGeoffrey
Differential Revision: https://reviews.llvm.org/D113565
* Move "linalg.inplaceable" attr name literals to BufferizableOpInterface.
* Use `memref.copy` by default. Override to `linalg.copy` in ComprehensiveBufferizePass.
These are the last remaining code dependencies on Linalg in Comprehensive Bufferize. The next commit will make ComprehensiveBufferize independent of the Linalg dialect.
Differential Revision: https://reviews.llvm.org/D113457
This revision adds an implementation of 2-D vector.transpose for 4x8 and 8x8 for
AVX2 and surfaces it to the Linalg level of control.
Reviewed By: dcaballe
Differential Revision: https://reviews.llvm.org/D113347
Move helper functions for traversing reverse use-def chains. These are useful for implementing custom optimizations (e.g., custom InitTensorOp eliminations).
Also move over the AllocationCallbacks struct. This is in preparation for decoupling ComprehensiveBufferize from various dialects.
Differential Revision: https://reviews.llvm.org/D113386
Declarative attribute and type formats with assembly formats. Define an
`assemblyFormat` field in attribute and type defs with a `mnemonic` to
generate a parser and printer.
```tablegen
def MyAttr : AttrDef<MyDialect, "MyAttr"> {
let parameters = (ins "int64_t":$count, "AffineMap":$map);
let mnemonic = "my_attr";
let assemblyFormat = "`<` $count `,` $map `>`";
}
```
Use `struct` to define a comma-separated list of key-value pairs:
```tablegen
def MyType : TypeDef<MyDialect, "MyType"> {
let parameters = (ins "int":$one, "int":$two, "int":$three);
let mnemonic = "my_attr";
let assemblyFormat = "`<` $three `:` struct($one, $two) `>`";
}
```
Use `struct(*)` to capture all parameters.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D111594
[NFC] This patch fixes URLs containing "master". Old URLs were either broken or
redirecting to the new URL.
Reviewed By: #libc, ldionne, mehdi_amini
Differential Revision: https://reviews.llvm.org/D113186
This commit separates the bufferization from the bufferization pass in Linalg. This allows other dialects to use ComprehensiveBufferize more easily.
This commit mainly moves files to a new directory and adds a new build target.
Differential Revision: https://reviews.llvm.org/D112989
This commit adds a new op interface: BufferizableOpInterface. In the future, ops that implement this interface can be bufferized using Comprehensive Bufferize.
Note: The interface methods of this interface correspond to the "op interface" in ComprehensiveBufferize.cpp.
Differential Revision: https://reviews.llvm.org/D112974
This required substantially more invasive changes.
We need to handle some of the LLVM `config.h` changes differently from
the old pattern. These aren't always safe on the commandline, and the
Windows ones specifically break Clang. Instead, use conditional defines
in the header itself. This more closely matches how CMake builds see the
definitions. I think this is also just cleaner and we should maybe move
more of the macros out of Bazel.
The config defines for Windows that I've kept in Bazel are the ones that
LLVM's CMake does at the commandline as well. I've also added numerous
ones that CMake uses and we didn't replicate in Bazel.
I also needed a different approach to get `libclang` working well. This,
IMO, improves things on all platforms. Now we build the plugin and
actually wrap it back up with `cc_import`. We have to use a collection
of manually tagged `cc_binary` rules to get the naming to work out the
right way, but this isn't too different from the prior approach. By
directly having a `cc_binary` rule for each platform spelling of
`libclang`, we can actually extract the interface library from it and
correctly depend on it with `cc_import`. I think the result now is much
closer to the intent and to the CMake build for libclang.
Sadly, some tests also needed disabling. This is actually narrower than
what CMake does. The issue isn't indicative of anything serious -- the
test just assumes Unix-style paths.
I also have cleaned up the Windows flags in `.bazelrc` to much more
closely match what CMake does.
Differential Revision: https://reviews.llvm.org/D112399
Sadly, these are necessary AFAICT. There is a file `lib/AST/CXXABI.h`.
On case insensitive file systems like macOS this will collide with
`cxxabi.h` on the system if we use the `includes` trick to allow
file-relative `#include` of generated files.
I've tested this on both Linux and Windows to make sure it remains
reasonably portable.
Differential Revision: https://reviews.llvm.org/D112883
This BUILD file:
* generates machine-generated Python files using tblgen, and
* exports both generated and handwritten Python files via filegroup() rules.
This allows downstream users to use Bazel to build Python wheels that incorporate the MLIR Python bindings.
Reviewed By: GMNGeoffrey
Differential Revision: https://reviews.llvm.org/D112844
In order to support fusion with mma matrix type we need to be able to
execute elementwise operations on them. This add an op to be able to
support some basic elementwise operations. This is a is not a full
solution as it only supports a limited scope or operations. Ideally we would
want to be able to fuse with more kind of operations.
Differential Revision: https://reviews.llvm.org/D112857
wmma intrinsics have a large number of combinations, ideally we want to be able
to target all the different variants. To avoid a combinatorial explosion in the
number of mlir op we use attributes to represent the different variation of
load/store/mma ops. We also can generate with tablegen helpers to know which
combinations are available. Using this we can avoid having too hardcode a path
for specific shapes and can support more types.
This patch also adds boiler plates for tf32 op support.
Differential Revision: https://reviews.llvm.org/D112689
Adrian Kuegel