The goal is to make the naming of the future `_extended` ops more
consistent. With unsigned addition, the carry value/flag and overflow
bit are the same, but this is not true when it comes to signed addition.
Also rename the second result from `carry` to `overflow`.
Reviewed By: antiagainst
Differential Revision: https://reviews.llvm.org/D139569
Implementation assumed a i32 accumulator. Fixed the implementation to
work with an i32 accumulator.
Reviewed By: NatashaKnk
Differential Revision: https://reviews.llvm.org/D139365
The new function is a wrapper around the regular `getStridesAndOffset`
that offers a more compact way (as in writing less code) of getting the
relevant information.
This method is intended to be used only when it is known that the
LogicalResult of the regular `getStridesAndOffset` must be "succeeded".
This warpper will assert on that.
Differential Revision: https://reviews.llvm.org/D139529
Since tosa.pad is lowered strictly to artih and tensor ops, move
ConvertPad from TosaToLinalg to TosaToTensor, benefitting non-Linalg
Tosa targets. TensorToLinalg exists, and is trivial, so nothing is lost.
Signed-off-by: Ramkumar Ramachandra <r@artagnon.com>
Differential Revision: https://reviews.llvm.org/D139091
Along the way, make the default pattern fail instead of crashing
when an elementwise op is not supported yet.
Reviewed By: kuhar
Differential Revision: https://reviews.llvm.org/D139280
Rounding of tosa.resize did not handle rounding to the nearest pixel correctly.
Rather than dividing the scale by 2 we should double the partial pixel to
guarantee we include a check on the lowest bit.
Reviewed By: NatashaKnk
Differential Revision: https://reviews.llvm.org/D139162
Add support for loading, computing, and storing `gpu.subgroup` WMMA ops
in transpose mode as well. Update the GPU to NVVM lowerings to support
`transpose` mode and update integration tests as well.
Reviewed By: ThomasRaoux
Differential Revision: https://reviews.llvm.org/D139021
This patch mechanically replaces None with std::nullopt where the
compiler would warn if None were deprecated. The intent is to reduce
the amount of manual work required in migrating from Optional to
std::optional.
This is part of an effort to migrate from llvm::Optional to
std::optional:
https://discourse.llvm.org/t/deprecating-llvm-optional-x-hasvalue-getvalue-getvalueor/63716
Improve type conversion error propagation/failure during LLVM lowering.
BEFORE
```
llvm-mlir/mlir/lib/Conversion/LLVMCommon/TypeConverter.cpp:304: SmallVector<mlir::Type, 5> mlir::LLVMTypeConverter::getMemRefDescriptorFields(mlir::MemRefType, bool): Assertion `isStrided(type) && "Non-strided layout maps must have been normalized away"' failed.
PLEASE submit a bug report to https://bugs.llvm.org/ and include the crash backtrace.
Stack dump:
...
```
AFTER
```
<unknown>:0: error: integer overflow during size computation
<unknown>:0: error: Conversion to strided form failed either due to non-strided layout maps (which should have been normalized away) or other reasons
<unknown>:0: error: failed to legalize operation 'gpu.func' that was explicitly marked illegal
<unknown>:0: note: see current operation:
"gpu.func"() ( {
...
```
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D139072
This reverts commit d0650d1089.
Original commit message:
Subviews are supposed to be expanded before we hit the lowering
code.
The expansion is done with the pass called
expand-strided-metadata.
Add a test that demonstrate how these passes can be linked up to achieve
the desired lowering.
This patch is NFC in spirit but not in practice because `subview` gets
lowered into `reinterpret_cast(extract_strided_metadata, <some math>)`
which lowers in two memref descriptors (one for `reinterpert_cast` and
one for `extract_strided_metadata`), which creates some noise of the
form: `extractvalue(unrealized_cast(extractvalue[0]))[0]` that is
currently not simplified within MLIR but that is really just noop in
that case.
Differential Revision: https://reviews.llvm.org/D136377
This reverts commit c8e15afa4c.
This breaks some integration tests, see
https://lab.llvm.org/buildbot/#/builders/220/builds/10446
I have to update a bunch of RUN lines in the tests to use the new
lowering scheme. Nothing complicated but let's keep the build clean
while I'm fixing that.
Subviews are supposed to be expanded before we hit the lowering
code.
The expansion is done with the pass called
expand-strided-metadata.
Add a test that demonstrate how these passes can be linked up to achieve
the desired lowering.
This patch is NFC in spirit but not in practice because `subview` gets
lowered into `reinterpret_cast(extract_strided_metadata, <some math>)`
which lowers in two memref descriptors (one for `reinterpert_cast` and
one for `extract_strided_metadata`), which creates some noise of the
form: `extractvalue(unrealized_cast(extractvalue[0]))[0]` that is
currently not simplified within MLIR but that is really just noop in
that case.
Differential Revision: https://reviews.llvm.org/D136377
* Fix type conversions around positions--we need to use the
converted value from the adaptor.
* Convert constant position cases to composite extract/insert.
Reviewed By: kuhar
Differential Revision: https://reviews.llvm.org/D139057
This commit extends the `ResourceLimitsAttr` to support specifying
a minimal and maximal subgroup size, and extends `EntryPointABIAttr`
to support specifying the requested subgroup size. This is possible
now in Vulkan with the VK_EXT_subgroup_size_control extension.
For OpenCL it's possible to use the `SubgroupSize` execution mode
directly.
Reviewed By: ThomasRaoux
Differential Revision: https://reviews.llvm.org/D138962
Enables transposed gpu.subgroup_mma_load_matrix and updates the lowerings in Vector to GPU and GPU to SPIRV. Needed to enable B transpose matmuls lowering to wmma ops.
Taken over from author: stanley-nod <stanley@nod-labs.com>
Reviewed By: ThomasRaoux, antiagainst
Differential Revision: https://reviews.llvm.org/D138770
This patch is part of a larger simplification effort of vector transfer
operations. It removes the flag `lower-permutation-maps` from
VectorToSCF conversion and enables the lowering of permutation maps
by default. This means that VectorToSCF will always lower permutation
maps to independent broadcast/transpose operations before lowering
vector operations to SCF.
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D138742
This patch adds the and, or, and xor bitwise operations to
the index dialects with folders and LLVM lowerings.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D138590
This revision refactors and cleans up a bunch of infra related to vector, shapes and indexing into more reusable APIs.
Differential Revision: https://reviews.llvm.org/D138501
MemRef memory space actually can be an attribute. Update the
map function signature to accept an attribute. The default
mappings can still only covers numeric ones, but this allows
downstream callers to extend with custom memory spaces.
Reviewed By: kuhar
Differential Revision: https://reviews.llvm.org/D138257
The methods in `SideEffectUtils.h` (and their implementations in
`SideEffectUtils.cpp`) seem to have similar intent to methods already
existing in `SideEffectInterfaces.h`. Move the decleration (and
implementation) from `SideEffectUtils.h` (and `SideEffectUtils.cpp`)
into `SideEffectInterfaces.h` (and `SideEffectInterface.cpp`).
Also drop the `SideEffectInterface::hasNoEffect` method in favor of
`mlir::isMemoryEffectFree` which actually recurses into the operation
instead of just relying on the `hasRecursiveMemoryEffectTrait`
exclusively.
Differential Revision: https://reviews.llvm.org/D137857
Add a separate validation pass to check if TOSA operations match with
the specification against given requirement. Perform profile type
checking as the initial feature in the pass.
This is an optional pass that can be enabled via command line. e.g.
$mlir-opt --tosa-validate="profile=bi" for validating against the
base inference profile.
Description:
TOSA defines a variety of operator behavior and requirements in the
specification. It would be helpful to have a separate validation pass
to keep TOSA operation input match with TOSA specification for given
criteria, and also diminish the burden of dialect validation during
compilation.
TOSA supports three profiles of which two are for inference purposes.
The main inference profile supports both integer and floating-point
data types, but the base inference profile only supports integers.
In this initial PR, validate the operations against a given profile
of TOSA, so that validation would fail if a floating point tensor is
present when the base inference profile is selected. Afterward, others
checking will be added to the pass if needed. e.g. control flow
operators and custom operators validation.
The pass is expected to be able to run on any point of TOSA dialect
conversion/transformation pipeline, and not depend on a particular
pass run ahead. So that it is can be used to validate the initial tosa
operations just converted from other dialects, the intermediate form,
or the final tosa operations output.
Change-Id: Ib58349c873c783056e89d2ab3b3312b8d2c61863
Reviewed By: rsuderman
Differential Revision: https://reviews.llvm.org/D137279
Since all output elements are known to be overridden by construction the fill is not required. This change makes the tosa lowering consistent with the MHLO and Torch lowerings of concat which do not do the fill.
Reviewed By: rsuderman
Differential Revision: https://reviews.llvm.org/D137967
[RFC: EnumAttr for iterator types in Linalg](https://discourse.llvm.org/t/rfc-enumattr-for-iterator-types-in-linalg/64535)
This affect touches and probably breaks most of the code that creates `linalg.generic`. A fix would be to replace calls to `getParallelIteratorTypeName/getReductionIteratorTypeName` with `mlir::utils::IteratorType::parallel/reduction` and types from `StringRef` to `mlir::utils::IteratorType`.
Due to limitations of tablegen, shared C++ definition of IteratorType enum lives in StructuredOpsUtils.td, but each dialect should have it's own EnumAttr wrapper. To avoid conflict, all enums in a dialect are put into a separate file with a separate tablegen rule.
Test dialect td files are refactored a bit.
Printed format of `linalg.generic` temporarily remains unchanged to avoid breaking code and tests in the same change.
Differential Revision: https://reviews.llvm.org/D137658
This commit adds support for building a concatenated range from
a given set of elements, either single element or other ranges, within a
rewrite. We could conceptually extend this to support constraining
input ranges, but the logic there is quite a bit more complex so it is
left for later work when a need arises.
Differential Revision: https://reviews.llvm.org/D133719
Up until now PDL(L) has not supported dialect conversion because we had no
way of remapping values or integrating with type conversions. This commit
rectifies that by adding a new "pattern configuration" concept to PDL. This
essentially allows for attaching external configurations to patterns, which
can hook into pattern events (for now just the scope of a rewrite, but we
could also pass configs to native rewrites as well). This allows for injecting
the type converter into the conversion pattern rewriter.
Differential Revision: https://reviews.llvm.org/D133142
This is a follow-up on D126305 and D136225.
We can now preserve fastmath for arith::MaxFOp,MinFOp,RemFOp during
ArithToLLVM conversion.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D137456
This change adds a new NVGPU operation that targets the PTX `mma.sp.sync`
instruction variants. A lowering to NVVM is provided using inline
assembly.
Reviewed By: ThomasRaoux, manishucsd
Differential Revision: https://reviews.llvm.org/D137202
The first result of the extract_strided_metadata operation is a MemRef,
not a naked pointer.
This patch fixes the lowering of this operation in MemRefToLLVM so that
we properly materialize the full MemRef structure and not just the base,
naked, pointer.
Differential Revision: https://reviews.llvm.org/D137364
Added arith::FastMathAttr and ArithFastMathInterface support for Math dialect
floating point operations.
This change-set creates ArithCommon conversion utils that currently
provide classes and methods to aid with arith::FastMathAttr conversion
into LLVM::FastmathFlags. These utils are used in ArithToLLVM and
MathToLLVM convertors, but may eventually be used by other converters
that need to convert fast math attributes.
Since Math dialect operations use arith::FastMathAttr, MathOps.td now
has to include enum and attributes definitions from Arith dialect.
To minimize the amount of TD code included from Arith dialect,
I moved FastMathAttr definition into ArithBase.td.
Differential Revision: https://reviews.llvm.org/D136312
