This patch adds more precise side effects to the current ops with memory
effects, allowing us to determine which OpOperand/OpResult/BlockArgument
the
operation reads or writes, rather than just recording the reading and
writing
of values. This allows for convenient use of precise side effects to
achieve
analysis and optimization.
Related discussions:
https://discourse.llvm.org/t/rfc-add-operandindex-to-sideeffect-instance/79243
The alloca can be maximized with the maximum number or ranks, which is
reasonable (15 currently as per the standard). Introducing a rank based
dynamic allocation would complexify alloca hoisting and stack size
analysis (this can be revisited if the standard changes to allow more
ranks).
No change is needed since this is already reflected in how the fir.box
type is translated to LLVM.
Derived from #92480. This PR introduces reduction semantics into loops
for DO CONCURRENT REDUCE. The `fir.do_loop` operation now invisibly has
the `operandSegmentsizes` attribute and takes variable-length reduction
operands with their operations given as `fir.reduce_attr`. For the sake
of compatibility, `fir.do_loop`'s builder has additional arguments at
the end. The `iter_args` operand should be placed in front of the
declaration of result types, so the new operand for reduction variables
(`reduce`) is put in the middle of arguments.
In a simple case like this:
```
program test
integer :: u(120, 2)
u(1:120,1:2) = u(1:120,1:2) + 2
end program
```
Flang is creating a copy loop with fir.array_coor using
a result of fir.embox inserted before the loop. This results in split
address computations before and inside the loop, which can be seen
as many more arithmetic operations than required after converting
FIR to LLVM dialect. Even though LLVM SROA/mem2reg are able
to optimize the temporary descriptor, and then LICM is able to hoist
the invariant computations, we seem to get better mix of LLVM dialect
operations after FIR-to-LLVM codegen. This may also slightly reduce
the compilation time taken by LLVM to optimize the generate LLVM IR.
This may also slightly reduce the time spent by FIR AliasAnalysis
to reach the memory reference source.
With MLIR inlining (e.g. `flang-new -mmlir -inline-all=true`)
the current TBAA tags attachment is suboptimal, because
we may lose information about the callee's dummy arguments
(by bypassing fir.declare in AliasAnalysis::getSource).
This is a conservative first step to improve the situation.
This patch makes AddAliasTagsPass to account for fir.dummy_scope
hierarchy after MLIR inlining and use it to place the TBAA tags
into TBAA trees corresponding to different function scopes.
The pass uses special mode of AliasAnalysis to find the instantiation
point of a Fortran variable (a [hl]fir.decalre) when searching
for the source of a memory reference. In this mode, AliasAnalysis
will always stop at fir.declare operations that have dummy_scope
operands - there should not be a reason to past throught it
for the purpose of TBAA tags attachment.
Fixes a bug uncovered by
[pr43337.f90](https://github.com/llvm/llvm-test-suite/blob/main/Fortran/gfortran/regression/gomp/pr43337.f90)
in the test suite.
In particular, this emits `argNo` debug info only if the parent op of a
block is a `func.func` op. This avoids DI conflicts when a function
contains a nested OpenMP region that itself has block arguments with DI
attached to them; for example, `omp.parallel` with delayed privatization
enabled.
First commit is reviewed in
https://github.com/llvm/llvm-project/pull/93682.
Lower RANK using fir.box_rank. This patches updates fir.box_rank to
accept box reference, this avoids the need of generating an assumed-rank
fir.load just for the sake of reading ALLOCATABLE/POINTER rank. The
fir.load would generate a "dynamic" memcpy that is hard to optimize
without further knowledge. A read effect is conditionally given to the
operation.
The number of operations dedicated to CUF grew and where all still in
FIR. In order to have a better organization, the CUF operations,
attributes and code is moved into their specific dialect and files. CUF
dialect is tightly coupled with HLFIR/FIR and their types.
The CUF attributes are bundled into their own library since some
HLFIR/FIR operations depend on them and the CUF dialect depends on the
FIR types. Without having the attributes into a separate library there
would be a dependency cycle.
Lower locals allocation of cuda device, managed and unified variables to
fir.cuda_alloc. Add fir.cuda_free in the function context finalization.
@vzakhari For some reason the PR #90526 has been closed when I merged PR
#90525. Just reopening one.
…ted. (#89998)" (#90250)
This partially reverts commit 7aedd7dc75.
This change removes calls to the deprecated member functions. It does
not mark the functions deprecated yet and does not disable the
deprecation warning in TypeSwitch. This seems to cause problems with
MSVC.
Fix parsing of cuda_kernel: it missed a mlir::succeeded check and it was
not setting up the `types` and causing mismatch between values and types
of the grid/block (CUFKernelValues). @clementval
---------
Co-authored-by: Iman Hosseini <imanh@nvidia.com>
Co-authored-by: Valentin Clement (バレンタイン クレメン) <clementval@gmail.com>
Add MemRead effect on the box operand as the descriptor might be read
when performing the allocation of the data.
Also update the expected type of the box operand to be a reference.
Check in the verifier that this is a reference to a box or class type.
This addresses the comment made post commit on #88586
Add the fir.cuda_deallocate operation that perform device deallocation
of data hold by a descriptor. This will replace the call to
AllocatableDeallocate from the runtime.
This is a companion operation to the one added in #88586
Allocatable with cuda device attribute have special semantic for the
allocate statement. In flang the allocate statement is lowered to a
sequence of runtime call initializing the descriptor and then allocating
the descriptor data. This new operation will replace the last runtime
call and abstract all the device memory allocation needed.
The lowering patch will follow.
Whenever lowering is checking if a function or global already exists in
the mlir::Module, it was doing module->lookup.
On big programs (~5000 globals and functions), this causes important
slowdowns because these lookups are linear. Use mlir::SymbolTable to
speed-up these lookups. The SymbolTable has to be created from the
ModuleOp and maintained in sync. It is therefore placed in the
converter, and FirOPBuilders can take a pointer to it to speed-up the
lookups.
This patch does not bring mlir::SymbolTable to FIR/HLFIR passes, but
some passes creating a lot of runtime calls could benefit from it too.
More analysis will be needed.
As an example of the speed-ups, this patch speeds-up compilation of
Whizard compare_amplitude_UFO.F90 from 5 mins to 2 mins on my machine
(there is still room for speed-ups).
This patch introduces a new operation to represent the CUDA Fortran
kernel loop directive. This operation is modeled as a LoopLikeOp
operation in a similar way to acc.loop.
The CUFKernelDoConstruct parse tree node is also placed correctly in the
PFTBuilder to be available in PFT evaluations.
Lowering from the flang parse-tree to MLIR is also done.
These hardcoded attribute name are a leftover from the upstreaming
period when there was no way to get the attribute name without an
instance of the operation. It is since possible to do without them and
they should be removed to avoid duplication.
This PR cleanup the fir.dt_entry and fir.dispatch ops of these hardcoded
attribute name and use their generated getters. Some other PRs will
follow to cleanup other operations.
These hardcoded attribute name are a leftover from the upstreaming
period when there was no way to get the attribute name without an
instance of the operation. It is since possible to do without them and
they should be removed to avoid duplication.
This PR cleanup the fir.global op of these hardcoded attribute name and
use their generated getters. Some other PRs will follow to cleanup other
operations.
The custom printer for `fir.global` was eluding all the attributes
present on the op when printing the attribute dictionary. So any
attribute that is not part of the pretty printing was therefore
discarded.
This patch fix the printer and also make use of the getters for the
attribute names when they are hardcoded.
hlfir.declare introduce some boxes that can be later optimized away. The
OpenACC lowering is currently setting some attributes on FIR operations
to track declare variables. When the boxes are optimized away these
attributes are lost. This patch propagate OpenACC attributes from
box_addr op to the defining op of the folding result.
Using `LoopLikeOpInterface` as the basis for the implementation unifies
all the tiling logic for both `scf.for` and `scf.forall`. The only
difference is the actual loop generation. This is a follow up to
https://github.com/llvm/llvm-project/pull/72178
Instead of many entry points for each loop type, the loop type is now
passed as part of the options passed to the tiling method.
This is a breaking change with the following changes
1) The `scf::tileUsingSCFForOp` is renamed to `scf::tileUsingSCF`
2) The `scf::tileUsingSCFForallOp` is deprecated. The same
functionality is obtained by using `scf::tileUsingSCF` and setting
the loop type in `scf::SCFTilingOptions` passed into this method to
`scf::SCFTilingOptions::LoopType::ForallOp` (using the
`setLoopType` method).
3) The `scf::tileConsumerAndFusedProducerGreedilyUsingSCFForOp` is
renamed to `scf::tileConsumerAndFuseProducerUsingSCF`. The use of
the `controlFn` in `scf::SCFTileAndFuseOptions` allows implementing
any strategy with the default callback implemeting the greedy fusion.
4) The `scf::SCFTilingResult` and `scf::SCFTileAndFuseResult` now use
`SmallVector<LoopLikeOpInterface>`.
5) To make `scf::ForallOp` implement the parts of
`LoopLikeOpInterface` needed, the `getOutputBlockArguments()`
method is replaced with `getRegionIterArgs()`
These changes now bring the tiling and fusion capabilities using
`scf.forall` on par with what was already supported by `scf.for`
This commit adds extra assertions to `OperationFolder` and `OpBuilder`
to ensure that the types of the folded SSA values match with the result
types of the op. There used to be checks that discard the folded results
if the types do not match. This commit makes these checks stricter and
turns them into assertions.
Discarding folded results with the wrong type (without failing
explicitly) can hide bugs in op folders. Two such bugs became apparent
in MLIR (and some more in downstream projects) and are fixed with this
change.
Note: The existing type checks were introduced in
https://reviews.llvm.org/D95991.
Migration guide: If you see failing assertions (`folder produced value
of incorrect type`; make sure to run with assertions enabled!), run with
`-debug` or dump the operation right before the failing assertion. This
will point you to the op that has the broken folder. A common mistake is
a mismatch between static/dynamic dimensions (e.g., input has a static
dimension but folded result has a dynamic dimension).
This operation allows computing the address of descriptor fields. It is
needed to help attaching descriptors in OpenMP/OpenACC target region.
The pointers inside the descriptor structure must be mapped too, but the
fir.box is abstract, so these fields cannot be computed with
fir.coordinate_of.
To preserve the abstraction of the descriptor layout in FIR, introduce
an operation specifically to !fir.ref<fir.box<>> address fields based on
field names (base_addr or derived_type).
Expose a `MutableArrayRef<OpOperand>` instead of
`ValueRange`/`OperandRange`. This allows users of this interface to
change the yielded values and the init values. The names of the
interface methods are the same as the auto-generated op accessor names
(`get...()` returns `OperandRange`, `get...Mutable()` returns
`MutableOperandRange`).
Note: The interface methods return a `MutableArrayRef` instead of a
`MutableOperandRange` because a loop op may not implement
`getYieldedValuesMutable` etc. and there is no safe way to return an
"empty" range with a `MutableOperandRange`.
Add a new interface method that returns the yielded values.
Also add a verifier that checks the number of inits/iter_args/yielded
values. Most of the checked invariants (but not all of them) are already
covered by the `RegionBranchOpInterface`, but the `LoopLikeOpInterface`
now provides (additional) error messages that are easier to read.
This interface allows (HL)FIR passes to add TBAA information to fir.load
and fir.store. If present, these TBAA tags take precedence over those
added during CodeGen.
We can't reuse mlir::LLVMIR::AliasAnalysisOpInterface because that uses
the mlir::LLVMIR namespace so it tries to define methods for fir
operations in the wrong namespace. But I did re-use the tbaa tag type to
minimise boilerplate code.
The new builders are to preserve the old interface without the tbaa tag.
The goal is to progressively propagate all the derived type info that is
currently in the runtime type info globals into a FIR operation that can
be easily queried and used by FIR/HLFIR passes.
When this will be complete, the last step will be to stop generating the
runtime info global in lowering, but to do that later in or just before
codegen to keep the FIR files readable (on the added type-info.f90
tests, the lowered runtime info globals takes a whooping 2.6 millions
characters on 1600 lines of the FIR textual output. The fir.type_info that
contains all the info required to generate those globals for such
"trivial" types takes 1721 characters on 9 lines).
So far this patch simply starts by replacing the fir.dispatch_table
operation by the fir.type_info operation and to add the noinit/
nofinal/nodestroy flags to it. These flags will soon be used in HLFIR to
better rewrite hlfir.assign with derived types.
This commit implements `LoopLikeOpInterface` on `scf.while`. This
enables LICM (and potentially other transforms) on `scf.while`.
`LoopLikeOpInterface::getLoopBody()` is renamed to `getLoopRegions` and
can now return multiple regions.
Also fix a bug in the default implementation of
`LoopLikeOpInterface::isDefinedOutsideOfLoop()`, which returned "false"
for some values that are defined outside of the loop (in a nested op, in
such a way that the value does not dominate the loop). This interface is
currently only used for LICM and there is no way to trigger this bug, so
no test is added.
The `RegionBranchOpInterface` had a few fundamental issues caused by the API design of `getSuccessorRegions`.
It always required passing values for the `operands` parameter. This is problematic as the operands parameter actually changes meaning depending on which predecessor `index` is referring to. If coming from a region, you'd have to find a `RegionBranchTerminatorOpInterface` in that region, get its operand count, and then create a `SmallVector` of that size.
This is not only inconvenient, but also error-prone, which has lead to a bug in the implementation of a previously existing `getSuccessorRegions` overload.
Additionally, this made the method dual-use, trying to serve two different use-cases: 1) Trying to determine possible control flow edges between regions and 2) Trying to determine the region being branched to based on constant operands.
This patch fixes these issues by changing the interface methods and adding new ones:
* The `operands` argument of `getSuccessorRegions` has been removed. The method is now only responsible for returning possible control flow edges between regions.
* An optional `getEntrySuccessorRegions` method has been added. This is used to determine which regions are branched to from the parent op based on constant operands of the parent op. By default, it calls `getSuccessorRegions`. This is analogous to `getSuccessorForOperands` from `BranchOpInterface`.
* Add `getSuccessorRegions` to `RegionBranchTerminatorOpInterface`. This is used to get the possible successors of the terminator based on constant operands. By default, it calls the containing `RegionBranchOpInterface`s `getSuccessorRegions` method.
* `getSuccessorEntryOperands` was renamed to `getEntrySuccessorOperands` for consistency.
Differential Revision: https://reviews.llvm.org/D157506
This renaming started with the native ODS support for properties, this is completing it.
A mass automated textual rename seems safe for most codebases.
Drop also the ods prefix to keep the accessors the same as they were before
this change:
properties.odsOperandSegmentSizes
reverts back to:
properties.operandSegementSizes
The ODS prefix was creating divergence between all the places and make it harder to
be consistent.
Reviewed By: jpienaar
Differential Revision: https://reviews.llvm.org/D157173
This patch includes the a subset of MMA intrinsics that are included in
the mma intrinsic module:
mma_assemble_acc
mma_assemble_pair
mma_build_acc
mma_disassemble_acc
mma_disassemble_pair
Submit on behalf of Daniel Chen <cdchen@ca.ibm.com>
Differential Revision: https://reviews.llvm.org/D155725
/data/llvm-project/flang/lib/Optimizer/Dialect/FIROps.cpp:971:46: error: no member named 'getNumScalableDims' in 'mlir::VectorType'
if (mlir::dyn_cast<mlir::VectorType>(ty).getNumScalableDims() == 0)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ^
1 error generated.
Codegen only supports conversions between logicals and integers. The
verifier should reflect this.
Differential Revision: https://reviews.llvm.org/D152935
Reboxing of the actual argument according to the type of the dummy
argument has to be aware of the potential rank mismatch, when
IGNORE_TKR(R) is used. This change only adds support for the mismatching
rank when the dummy argument has unlimited polymorphic type.
Reviewed By: jeanPerier
Differential Revision: https://reviews.llvm.org/D151016
This reverts commit aa6b47cdaf.
And adds a fix (adding missing libraries
to CMakeLists.txt for the OpenMPDialect)
that allows failing builds to succeed.
This attribute represents the OpenMP declare target directive, it marks a function
or global as declare target by being present but also contains information on
the device_type and capture clause (link or to). It being an attribute allows it to
mark existing constructs and be converted trivially on lowering from the OpenMP
dialect to MLIR using amendOperation.
An interface has been made for the declare target attribute, with several helper
methods for managing the attribute, this interface can be applied to MLIR
operations that are allowed to be marked as declare target (as an example, it
is by default applied to func.func, LLVMFunc, fir.GlobalOps and LLVMGlobalOps).
Reviewers: kiranchandramohan
Differential Revision: https://reviews.llvm.org/D150328
Fir.GlobalOp's currently do not respect attributes that
are applied to them, this change will do two things:
- Allow lowering of arbitrary attributes applied to
Fir.GlobalOp's to LLVMGlobalOp's during CodeGen
- Allow printing and parsing of arbitrarily applied attributes
This allows applying other dialects attributes (or other
fir attributes) to fir.GlobalOps on the fly and have them
exist in the resulting LLVM dialect IR or FIR IR.
Reviewer: jeanPerier
Differential Revision: https://reviews.llvm.org/D148352
