Many tests had this flag removed because of the G_BITCAST emission
issue. Now that the PR is merged, we can re-enable this additional
check.
2 tests (basic_int_types) just have the TODO removed because they are
not useful for SPIR-V as-is: SPIR-V requires reg2mem/mem2reg to run,
which removes all the body. Integers are used in other spirv tests, and
seems like testing for spirv32/64 and relying on others for the logical
target coverage should be fine.
Signed-off-by: Nathan Gauër <brioche@google.com>
This shares most of its code with the scalar sincos expansion. It allows
expanding vector FSINCOS nodes to a library call from the specified
`-vector-library`. The upside of this is it will mean the vectorizer
only needs to handle the sincos intrinsic, which has no memory effects,
and this can handle lowering the intrinsic to a call that takes output
pointers.
We can use `viota`+`vrgather` to synthesize `vdecompress` and lower
expanding load to `vcpop`+`load`+`vdecompress`.
And if `%mask` is all ones, we can lower expanding load to a normal
unmasked load.
Fixes#101914.
This patch improves error reporting in the MLIR to LLVM IR translation
pass for the 'omp' dialect by emitting descriptive errors when
encountering clauses not yet supported by that pass.
Additionally, not-yet-implemented errors previously missing for some
clauses are added, to avoid silently ignoring them.
Error messages related to inlining of `omp.private` and
`omp.declare_reduction` regions have been updated to use the same
format.
This patch unifies the handling of errors passed through the
OpenMPIRBuilder and removes some redundant error messages through the
introduction of a custom `ErrorInfo` subclass.
Additionally, the current list of operations and clauses unsupported by
the MLIR to LLVM IR translation pass is added to a new Lit test to check
they are being reported to the user.
Swift ClangImporter now supports concurrency annotations on imported
declarations and their parameters/results, to make it possible to use
imported APIs in Swift safely there has to be a way to annotate
individual parameters and result types with relevant attributes that
indicate that e.g. a block is called on a particular actor or it accepts
a `Sendable` parameter.
To faciliate that `SwiftAttr` is switched from `InheritableAttr` which
is a declaration attribute to `DeclOrTypeAttr`. To support this
attribute in type context we need access to its "Attribute" argument
which requires `AttributedType` to be extended to include `Attr *` when
available instead of just `attr::Kind` otherwise it won't be possible to
determine what attribute should be imported.
`DIGenericSubrange` is used when the dimensions of the arrays are
unknown at build time (e.g. assumed-rank arrays in Fortran). It has same
`lowerBound`, `upperBound`, `count` and `stride` fields as in
`DISubrange` and its translation looks quite similar as a result.
---------
Co-authored-by: Tobias Gysi <tobias.gysi@nextsilicon.com>
SValBuilder::getKnownValue, getMinValue, getMaxValue use
SValBuilder::simplifySVal.
simplifySVal does repeated simplification until a fixed-point is
reached. A single step is done by SimpleSValBuilder::simplifySValOnce,
using a Simplifier visitor. That will basically decompose SymSymExprs,
and apply constant folding using the constraints we have in the State.
Once it decomposes a SymSymExpr, it simplifies both sides and then uses
the SValBuilder::evalBinOp to reconstruct the same - but now simpler -
SymSymExpr, while applying some caching to remain performant.
This decomposition, and then the subsequent re-composition poses new
challenges to the SValBuilder::evalBinOp, which is built to handle
expressions coming from real C/C++ code, thus applying some implicit
assumptions.
One previous assumption was that nobody would form an expression like
"((int*)0) - q" (where q is an int pointer), because it doesn't really
makes sense to write code like that.
However, during simplification, we may end up with a call to evalBinOp
similar to this.
To me, simplifying a SymbolRef should never result in Unknown or Undef,
unless it was Unknown or Undef initially or, during simplification we
realized that it's a division by zero once we did the constant folding,
etc.
In the following case the simplified SVal should not become UnknownVal:
```c++
void top(char *p, char *q) {
int diff = p - q; // diff: reg<p> - reg<q>
if (!p) // p: NULL
simplify(diff); // diff after simplification should be: 0(loc) - reg<q>
}
```
Returning Unknown from the simplifySVal can weaken analysis precision in
other places too, such as in SValBuilder::getKnownValue, getMinValue, or
getMaxValue because we call simplifySVal before doing anything else.
For nonloc::SymbolVals, this loss of precision is critical, because for
those the SymbolRef carries an accurate type of the encoded computation,
thus we should at least have a conservative upper or lower bound that we
could return from getMinValue or getMaxValue - yet we would just return
nullptr.
```c++
const llvm::APSInt *SimpleSValBuilder::getKnownValue(ProgramStateRef state,
SVal V) {
return getConstValue(state, simplifySVal(state, V));
}
const llvm::APSInt *SimpleSValBuilder::getMinValue(ProgramStateRef state,
SVal V) {
V = simplifySVal(state, V);
if (const llvm::APSInt *Res = getConcreteValue(V))
return Res;
if (SymbolRef Sym = V.getAsSymbol())
return state->getConstraintManager().getSymMinVal(state, Sym);
return nullptr;
}
```
For now, I don't plan to make the simplification bullet-proof, I'm just
explaining why I made this change and what you need to look out for in
the future if you see a similar issue.
CPP-5750
This teaches dagcombiner to fold:
`(asr (add nsw x, y), 1) -> (avgfloors x, y)`
`(lsr (add nuw x, y), 1) -> (avgflooru x, y)`
as well the combine them to a ceil variant:
`(avgfloors (add nsw x, y), 1) -> (avgceils x, y)`
`(avgflooru (add nuw x, y), 1) -> (avgceilu x, y)`
iff valid for the target.
Removes some of the ARM MVE patterns that are now dead code.
It adds the avg opcodes to `IsQRMVEInstruction` as to preserve the
immediate splatting as before.
The test is currently passing everywhere but this 32-bit arm ubuntu bot.
I don't have an easy way to debug this, so I'm skipping the test on that
platform till we get a chance to figure this out.
If you have the following multi-range `do concurrent` loop:
```fortran
do concurrent(i=1:n, j=1:bar(n*m, n/m))
a(i) = n
end do
```
Currently, flang generates the following IR:
```mlir
fir.do_loop %arg1 = %42 to %44 step %c1 unordered {
...
%53:3 = hlfir.associate %49 {adapt.valuebyref} : (i32) -> (!fir.ref<i32>, !fir.ref<i32>, i1)
%54:3 = hlfir.associate %52 {adapt.valuebyref} : (i32) -> (!fir.ref<i32>, !fir.ref<i32>, i1)
%55 = fir.call @_QFPbar(%53#1, %54#1) fastmath<contract> : (!fir.ref<i32>, !fir.ref<i32>) -> i32
hlfir.end_associate %53#1, %53#2 : !fir.ref<i32>, i1
hlfir.end_associate %54#1, %54#2 : !fir.ref<i32>, i1
%56 = fir.convert %55 : (i32) -> index
...
fir.do_loop %arg2 = %46 to %56 step %c1_4 unordered {
...
}
}
```
However, if `bar` is impure, then we have a direct violation of the
standard:
```
C1143 A reference to an impure procedure shall not appear within a DO CONCURRENT construct.
```
Moreover, the standard describes the execution of `do concurrent`
construct in multiple stages:
```
11.1.7.4 Execution of a DO construct
...
11.1.7.4.2 DO CONCURRENT loop control
The concurrent-limit and concurrent-step expressions in the concurrent-control-list are evaluated. ...
11.1.7.4.3 The execution cycle
...
The block of a DO CONCURRENT construct is executed for every active combination of the index-name values.
Each execution of the block is an iteration. The executions may occur in any order.
```
From the above 2 points, it seems to me that execution is divided in
multiple consecutive stages: 11.1.7.4.2 is the stage where we evaluate
all control expressions including the step and then 11.1.7.4.3 is the
stage to execute the block of the concurrent loop itself using the
combination of possible iteration values.
The int_amdgcn_mov_dpp8 is overloaded, but we can only select i32.
To allow a corresponding builtin to be overloaded the same way as
int_amdgcn_mov_dpp we need it to be able to split unsupported values.
A `const &` parameter can also be returned via a conditional operator:
`c ? a : b`. This change adds support for diagnosing returning these
parameters
with conditional operators.
This commit makes the `generic` target to support FP and LSX, as
discussed in #110211. Thereby, it allows 128-bit vector to be enabled by
default in the loongarch64 backend.
Given a recursive phi with select:
%p = phi [ 0, entry ], [ %sel, loop]
%sel = select %c, %other, %p
The fp state can be calculated using the knowledge that the select/phi
pair can only be the initial state (0 here) or from %other. This adds a
short-cut into computeKnownFPClass for PHI to detect that the select is
recursive back to the phi, and if so use the state from the other
operand.
This helps to address a regression from #83200.
This PR makes webkit.UncountedLambdaCapturesChecker ignore trivial
functions as well as the one being passed to an argument with
[[clang::noescape]] attribute. This dramatically reduces the false
positive rate for this checker.
To do this, this PR replaces VisitLambdaExpr in favor of checking
lambdas via VisitDeclRefExpr and VisitCallExpr. The idea is that if a
lambda is defined but never called or stored somewhere, then capturing
whatever variable in such a lambda is harmless.
VisitCallExpr explicitly looks for direct invocation of lambdas and
registers its DeclRefExpr to be ignored in VisitDeclRefExpr. If a lambda
is being passed to a function, it checks whether its argument is
annotated with [[clang::noescape]]. If it's not annotated such, it
checks captures for their safety.
Because WTF::switchOn could not be annotated with [[clang::noescape]] as
function type parameters are variadic template function so we hard-code
this function into the checker.
Finally, this PR also converts the accompanying test to use -verify and
adds a bunch of tests.
In https://reviews.llvm.org/D147608 we added custom lowering for
integers, but inadvertently also marked it as custom for scalable FP
vectors despite not handling it.
This adds handling for floats and marks it as custom lowered for
fixed-length FP vectors too.
Note that this doesn't handle bf16 or f16 vectors that would need
promotion, but these scalar_to_vector nodes seem to be emitted when
expanding them.
