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
Adds basic `--config=clang-cl` to set up the basic options needed, and
then fix a number of issues that surface in Windows builds for me.
With these fixes, `//llvm/...` builds cleanly. One unittest still fails,
but its just due to running out of stack space due to creating a large
number of short-lived stack variables. The test should probably be
decomposed into a set of tests (`LegalizerInfoTest::RuleSets`), but that
seemed like too invasive of a change here and with everything building
cleanly this isn't disrupting me experimenting with Windows builds.
Some parts of `//clang/...` builds, but that will require more work.
Using callbacks for allocation/deallocation allows users to override
the default.
Also add an option to comprehensive bufferization pass to use `alloca`
instead of `alloc`s. Note that this option is just for testing. The
option to use `alloca` does not work well with the option to allow for
returning memrefs.
Using callbacks for allocation/deallocation allows users to override
the default.
Also add an option to comprehensive bufferization pass to use `alloca`
instead of `alloc`s. Note that this option is just for testing. The
option to use `alloca` does not work well with the option to allow for
returning memrefs.
Differential Revision: https://reviews.llvm.org/D112166
Introduce the initial support for operation interfaces in C API and Python
bindings. Interfaces are a key component of MLIR's extensibility and should be
available in bindings to make use of full potential of MLIR.
This initial implementation exposes InferTypeOpInterface all the way to the
Python bindings since it can be later used to simplify the operation
construction methods by inferring their return types instead of requiring the
user to do so. The general infrastructure for binding interfaces is defined and
InferTypeOpInterface can be used as an example for binding other interfaces.
Reviewed By: gysit
Differential Revision: https://reviews.llvm.org/D111656
This patch adds a polynomial approximation that matches the
approximation in Eigen.
Note that the approximation only applies to vectorized inputs;
the scalar rsqrt is left unmodified.
The approximation is protected with a flag since it emits an AVX2
intrinsic (generated via the X86Vector). This is the only reasonably
clean way that I could find to generate the exact approximation that
I wanted (i.e. an identical one to Eigen's).
I considered two alternatives:
1. Introduce a Rsqrt intrinsic in LLVM, which doesn't exist yet.
I believe this is because there is no definition of Rsqrt that
all backends could agree on, since hardware instructions that
implement it have widely varying degrees of precision.
This is something that the standard could mandate, but Rsqrt is
not part of IEEE754, so I don't think this option is feasible.
2. Emit fdiv(1.0, sqrt) with fast math flags to allow reciprocal
transformations. Although portable, this doesn't allow us
to generate exactly the code we want; it is the LLVM backend,
and not MLIR, who controls what code is generated based on the
target CPU.
Reviewed By: ezhulenev
Differential Revision: https://reviews.llvm.org/D112192
This is a temporary fix, better would be to avoid including
llvm/Option/ArgList.h from a Support source file.
Differential Revision: https://reviews.llvm.org/D111974
After the TargetRegistry.h move, nothing in Support includes headers
from MC. However, files in tablegen use MC headers, so we must add an
entry for them in tblgen srcs.
Differential Revision: https://reviews.llvm.org/D111835
Precursor: https://reviews.llvm.org/D110200
Removed redundant ops from the standard dialect that were moved to the
`arith` or `math` dialects.
Renamed all instances of operations in the codebase and in tests.
Reviewed By: rriddle, jpienaar
Differential Revision: https://reviews.llvm.org/D110797
Create the Arithmetic dialect that contains basic integer and floating
point arithmetic operations. Ops that did not meet this criterion were
moved to the Math dialect.
First of two atomic patches to remove integer and floating point
operations from the standard dialect. Ops will be removed from the
standard dialect in a subsequent patch.
Reviewed By: ftynse, silvas
Differential Revision: https://reviews.llvm.org/D110200
This revision exposes some minimal funcitonality to allow comprehensive
bufferization to interop with external projects.
Differential Revision: https://reviews.llvm.org/D110875
* This could have been removed some time ago as it only had one op left in it, which is redundant with the new approach.
* `matmul_i8_i8_i32` (the remaining op) can be trivially replaced by `matmul`, which natively supports mixed precision.
Differential Revision: https://reviews.llvm.org/D110792
This revision extracts padding hoisting in a new file and cleans it up in prevision of future improvements and extensions.
Differential Revision: https://reviews.llvm.org/D110414
This patch introduces a generic reduction detection utility that works
across different dialecs. It is mostly a generalization of the reduction
detection algorithm in Affine. The reduction detection logic in Affine,
Linalg and SCFToOpenMP have been replaced with this new generic utility.
The utility takes some basic components of the potential reduction and
returns: 1) the reduced value, and 2) a list with the combiner operations.
The logic to match reductions involving multiple combiner operations disabled
until we can properly test it.
Reviewed By: ftynse, bondhugula, nicolasvasilache, pifon2a
Differential Revision: https://reviews.llvm.org/D110303
In attempting to build JAX on Apple Silicon, we discovered an issue with
the bazel configuration in llvm-project-overlay. This patch fixes the
logic, at least when building JAX. More context is included on the
following GitHub issue: https://github.com/google/jax/issues/5501
Differential Revision: https://reviews.llvm.org/D109839
This revision refactors ElementsAttr into an Attribute Interface.
This enables a common interface with which to interact with
element attributes, without needing to modify the builtin
dialect. It also removes a majority (if not all?) of the need for
the current OpaqueElementsAttr, which was originally intended as
a way to opaquely represent data that was not representable by
the other builtin constructs.
The new ElementsAttr interface not only allows for users to
natively represent their data in the way that best suits them,
it also allows for efficient opaque access and iteration of the
underlying data. Attributes using the ElementsAttr interface
can directly expose support for interacting with the held
elements using any C++ data type they claim to support. For
example, DenseIntOrFpElementsAttr supports iteration using
various native C++ integer/float data types, as well as
APInt/APFloat, and more. ElementsAttr instances that refer to
DenseIntOrFpElementsAttr can use all of these data types for
iteration:
```c++
DenseIntOrFpElementsAttr intElementsAttr = ...;
ElementsAttr attr = intElementsAttr;
for (uint64_t value : attr.getValues<uint64_t>())
...;
for (APInt value : attr.getValues<APInt>())
...;
for (IntegerAttr value : attr.getValues<IntegerAttr>())
...;
```
ElementsAttr also supports failable range/iterator access,
allowing for selective code paths depending on data type
support:
```c++
ElementsAttr attr = ...;
if (auto range = attr.tryGetValues<uint64_t>()) {
for (uint64_t value : *range)
...;
}
```
Differential Revision: https://reviews.llvm.org/D109190
Add an interface that allows grouping together all covolution and
pooling ops within Linalg named ops. The interface currently
- the indexing map used for input/image access is valid
- the filter and output are accessed using projected permutations
- that all loops are charecterizable as one iterating over
- batch dimension,
- output image dimensions,
- filter convolved dimensions,
- output channel dimensions,
- input channel dimensions,
- depth multiplier (for depthwise convolutions)
Differential Revision: https://reviews.llvm.org/D109793
Presently, definitions default to those for Linux which are not defined for FreeBSD (HAVE_LSEEK64, HAVE_MALLINFO, etc.). Patch sets os_defines to posix definitions under FreeBSD.
Reviewed By: GMNGeoffrey
Differential Revision: https://reviews.llvm.org/D109913
Geoffrey Martin-Noble