When enabling the option `-sil-opt-profile-repeat=<n>`, the optimizer runs passes n times and reports the total runtime at the end of the pass pipeline.
This is useful to profile a specific optimization pass with `sil-opt`.
For example, to profile the stack promotion pass:
```
sil-opt -stack-promotion -sil-opt-profile-repeat=10000 -o /dev/null test.sil
```
These sets are _much_ more efficient than `Set<Value>` and `Set<Instruction>` because they bridge to the efficient `NodeSet`.
Insertions/deletions are just bit operations.
TargetConstantFolding performs constant folding for target-specific values:
```
MemoryLayout<S>.size
MemoryLayout<S>.alignment
MemoryLayout<S>.stride
```
Constant folding those expressions in the middle of the SIL pipeline enables other optimizations to e.g. allow such expressions in statically allocated global variables (done by the GlobalOpt pass).
The implementation requires to create a temporary IRGenModule, which is used to get actual constant sizes/alignments from IRGen's type lowering.
rdar://94831524
This pass lowers moveonly-ness from the IR after we have finished move only
checking. The transform can be configured in two ways: such that it only handles
trivial types and such that it does trivial and non-trivial types. For ease of
use, I created two top level transforms (TrivialMoveOnlyTypeEliminator and
MoveOnlyTypeElimintor) that invoke the two behaviors by configuring the
underlying transform slightly differently.
For now, I am running first the trivial-only and then the all of the above
lowering. The trivial only pass will remain at this part of the pipeline
forever, but with time we are going to move the lower everything pass later into
the pipeline once I have audited the optimizer pipeline to just not perform any
work on move only types. That being said, currently we do not have this
guarantee and this patch at least improves the world and lets us codegen no
implicit copy code again.
Removes redundant ObjectiveC <-> Swift bridging calls.
Basically, if a value is bridged from ObjectiveC to Swift an then back to ObjectiveC again, then just re-use the original ObjectiveC value.
Also in this commit: add an additional DCE pass before ownership elimination. It can cleanup dead code which is left behind by the ObjCBridgingOptimization.
rdar://89987440
The overall flow of the pass is:
1. We walk over the blocks summarizing the debug info instruction the blocks gen
as well as whether or not the block had an async funclet edge with in it.
2. We then perform a simple forward iterative optimistic dataflow using
intersection at merge points. At points where we find after merging that we have
a conflict and thus need to stop propagation, we insert a debug_value undef.
3. We then walk the CFG again visiting only blocks that we know had async
funclet edges. We then walk each said block from top to bottom starting with the
propagating gen information and updating as we go, dumping the current set of
debug_info we are tracking after each coroutine funclet boundary.
rdar://85020571
The ComputeEffects pass derives escape information for function arguments and adds those effects in the function.
This needs a lot of changes in check-lines in the tests, because the effects are printed in SIL
This will turn `partial_apply` instructions into explicit box construction and
extraction code sequences. To begin with, recognize when a private function
is only used in partial applications and directly modify the function to be
usable as a closure invocation function. This simplifies the lowering in IRGen
and avoids generating a "partial application forwarder" thunk.
The ComputeEffects pass derives escape information for function arguments and adds those effects in the function.
This needs a lot of changes in check-lines in the tests, because the effects are printed in SIL
NOTE: debug_value [moved] appearing in the source code implies a _move was
used. So this will not effect current stable swift code.
This is just a first version of this that I am using to commit/bring up tests
for IRGen supporting a full dataflow version of this patch.
Big picture is that there is a bunch of work that is done in the LLVM level in
the coroutine splitter to work around communicating live variables in the
various coroutine func-lets. This logic is all done with debug.declare and we
would need to update that logic in the coroutine splitter to handle
debug.addr. Rather than do this, after some conversation, AdrianP and I realized
that we could get the same effect of a debug.declare by just redeclaring the
current live set of debug_value after each possible coroutine funclet start. To
do this in full generality, we need a full dataflow but just to bring this up we
initially perform a dominance propagation algorithm of the following sort:
1. We walk the CFG along successors. By doing this we guarantee that we visit
blocks after their dominators.
2. When we visit a block, we walk the block from start->end. During this walk:
a. We grab a new block state from the centralized block->blockState map. This
state is a [SILDebugVariable : DebugValueInst].
b. If we see a debug_value, we map blockState[debug_value.getDbgVar()] =
debug_value. This ensures that when we get to the bottom of the block, we
have pairs of SILDebugVariable + last debug_value on it.
c. If we see any coroutine funclet boundaries, we clone the current tracked
set of our block state and then walk up the dom tree dumping in each block
any debug_value with a SILDebugVariable that we have not already
dumped. This is maintained by using a visited set of SILDebugVariable for
each funclet boundary.
The end result is that at the beginning of each funclet we will basically
declare the debug info for an addr.
This is insufficient of course for moves that are in conditional control flow,
e.x.:
```
let x = Klass()
if boolValue {
await asyncCall()
let _ = _move(x)
}
```
but this at least lets me begin to write tests for this in lldb using straight
line code and work out the rest of the issues in CodeGen using those tests.
* Add the possibility to bisect the individual transforms of SILCombine and SimplifyCFG.
To do so, the `-sil-opt-pass-count` option now accepts the format `<n>.<m>`, where `m` is the sub-pass number.
The sub-pass number limits the number of individual transforms in SILCombine or SimplifyCFG.
* Add an option `-sil-print-last` to print the SIL of the currently optimized function before and after the last pass, which is specified with `-sil-opt-pass-count`.
Flow-isolation is a diagnostic SIL pass that finds
unsafe accesses to properties in initializers and
deinitializers that cannot gain isolation to otherwise
protect those accesses from concurrent modifications.
See SE-327 for more details about how and why it exists.
This commit includes changes and features like:
- The removal of the escaping-use restriction
- Flow-isolation that works properly with `defer` statements
- Flow-isolation with an emphasis on helpful diagnostics.
It also includes known issues like:
- Local / nonescaping functions are not analyzed by
flow-isolation, despite it being technically possible.
The main challenge in supporting it efficiently is that
such functions do not have a single exit-point, like
a `defer`. In particular, arbitrary functions can throw
so there are points where nonisolation should _not_ flow
out of the function at a call-site in the initializer, etc.
- The implementation of the flow-isolation pass is not
particularly memory efficient; it relies on BitDataflow
even though the particular flow problem is simple.
So, a more efficient implementation would be specialized for
this particular problem, etc.
There are also some changes to the Swift language itself: defer
will respect its context when deciding its property access kind.
Previously, a defer in an initializer would always access a stored
property through its accessor methods, instead of doing so directly
like its enclosing function might. This inconsistency is unfortunate,
so for Swift 6+ we make this consistent. For Swift 5, only a defer
in a function that is a member of the following kinds of types
will gain this consistency:
- an actor type
- any nominal type that is actor-isolated, excluding UnsafeGlobalActor.
These types are still rather new, so there is much less of a chance of
breaking expected behaviors around defer. In particular, the danger is
that users are relying on the behavior of defer triggering a property
observer within an init or deinit, when it would not be triggering it
without the defer.
The `run-unit-tests` is a "pseudo" pass which is invoked from sil-opt and runs all the unit tests, implemented in Swift.
This is done from the `swift-unit-tests.sil` lit test.
* add `BasicBlockSet`
* add `BasicBlockWorklist`
* add `BasicBlockRange`, which defines a range of blocks from a common dominating “begin” block to a set of “end” blocks.
* add `InstructionRange`, which is similar to `BasicBlockRange`, just on instruction level. It can be used for value lifetime analysis.
* rename `StackList` -> `Stack` and move it to `Optimizer/DataStructures`
* rename `PassContext.passContext` to `PassContext._bridged`
* add notify-functions to PassContext
And a few other small related changes:
* remove libswiftPassInvocation from SILInstructionWorklist (because it's not needed)
* replace start/finishPassRun with start/finishFunction/InstructionPassRun
NFC
Extract and rewrite the destroy hoisting algorithm originally from
CopyForwarding (in 2014).
This is now a light-weight utility for hoisting destroy_addr
instructions. Shrinking an object's memory lifetime can allow removal
of copy_addr and other optimization.
This is extremely low-overhead and can run at any optimization level
without dependency on any analysis.
This algorithm is:
- Incremental
- SSA-based
- Canonical
- Free from alias analysis
See file-level comments.
The immediate purpose is to specify and test the constraints
introduced by adding lexical variable lifetimes to SIL semantics. It
can be used as a template for end_borrow hoisting.
Ultimately, this utility can be invoked within any pass that needs to
optimize a particular uniquely identified address. It will be used to
remove much of the complexity from CopyForwarding.
* rename the CrossModuleSerializationSetup pass to simply CrossModuleOptimization
* remove the CMO specific serializer pass. Instead run the CrossModuleSerializationSetup pass directly before the standard serializer pass.
* correctly handle shared functions (e.g. specializations)
* refactoring
To give a bit more information, currently the way the move function is
implemented is that:
1. SILGen emits a builtin "move" that is called within the function _move in the
stdlib.
2. Mandatory Inlining today if the final inlined type is address only, inlines
builtin "move" as mark_unresolved_move_addr. Otherwise, if the inlined type
is loadable, it performs a load [take] + move [diagnostic] + store [init].
3. In the diagnostic pipeline before any mem optimizations have run, we run the
move checker for addresses. This eliminates /all/ mark_unresolved_move_addr
as part of emitting diagnostics. In order to make this work, we perform a
small optimization before the checker runs that moves the
mark_unresolved_move_addr from being on temporary alloc_stacks to the true
base underlying address we are trying to move. This optimization is necessary
since _move is generic and often times SILGen will emit this temporary that
we do not want.
4. Then after we have run the guaranteed mem optimizations, we run the object
based move checker emitting diagnostics.
This PR changes the scheme above to the following:
1. SILGen emits a builtin "move" that is called within the function _move in the
stdlib.
2. Mandatory Inlining inlines builtin "move" as mark_unresolved_move_addr.
3. In the diagnostic pipeline before we have run any mem optimizations and
before we have run the actual move address checker, we massage the IR as we
do above but in a separate pass where in addition we try to match this pattern:
```
%temporary = alloc_stack $LoadableType
store %1 to [init] %temporary : $*LoadableType
mark_unresolved_move_addr %temporary to %otherAddr : $*LoadableType
destroy_addr %temporary : $*LoadableType
```
and transform it to:
```
%temporary = alloc_stack $LoadableType
%2 = move_value [allows_diagnostics] %1 : $*LoadableType
store %2 to [init] %temporary : $*LoadableType
destroy_addr %temporary : $*LoadableType
```
ensuring that the object move checker will handle this.
4. Then after we have run the guaranteed mem optimizations, we run the object
based move checker emitting diagnostics.
* Replace the uniqueness result of a begin_cow_mutation of an empty Array/Set/Dictionary singleton with zero.
* Remove empty begin_cow_mutation - end_cow_mutation pairs
* Remove empty end_cow_mutation - begin_cow_mutation pairs
NOTE: This pass is disabled when -enable-experimental-lexical-lifetimes is
enabled.
When that flag is disabled, this removes the lexical flag from begin_borrow and
alloc_stack. This ensures that we can begin using begin_borrow [lexical] and
friends to emit diagnostics without impacting performance. I am going to be
preparing a subsequent patch that causes us to emit lexical lifetimes by
default. Due to this pass, I am not expecting any issues around perf.
This is just an initial prototype for people to play with. It is as always
behind the -enable-experimental-move-only flag.
NOTE: In this PR I implemented this only for 'local let' like things (local
lets/params). I did not implement in this PR support for local var and haven't
done anything with class ivars or globals.
rdar://83957028
NOTE: This is only available when the flag -enable-experimental-move-only. There
are no effects when the flag is disabled.
The way that this works is that it takes advantage of the following changes to
SILGen emission:
* When SILGen initializes a let with NoImplicitCopyAttribute, SILGen now emits
a begin_borrow [lexical] + copy + move_only. This is a pattern that we can check
and know that we are processing a move only value. When performing move
checking, we check move_only as a move only value and that it isn't consumed
multiple times.
* The first point works well for emitting all diagnostics except for
initializing an additional let var. To work around that I changed let
initialization to always bind to an owned value to a move of that owned
value. There is no semantic difference since that value is going to be consumed
by the binding operation anyways so we effectively just move the cleanup from
the original value we wanted to bind to the move. We still then actually borrow
the new let value with a begin_borrow [lexical] for the new let value. This
ensures that an initialization of a let value appears to be a consuming use to
the move only value checker while ensuring that the value has a proper
begin_borrow [lexical].
Some notes on functionality:
1. This attribute can only be applied to local 'let'.
2. "print" due to how we call it today with a vararg array is treated as a
consuming use (unfortunately).
3. I have not added the builtin copy operator yet, but I recently added a _move
skeleton attribute so one can end the lifetimes of these values early.
4. This supports all types that are not address only types (similar to
_move). To support full on address only types we need opaque values.
rdar://83957088
The PerformanceDiagnostics pass issues performance diagnostics for functions which are annotated with performance annotations, like @_noLocks, @_noAllocation.
This is done recursively for all functions which are called from performance-annotated functions.
rdar://83882635
This pass is only used for functions with performance annotations (@_noLocks, @_noAllocation).
It runs in the mandatory pipeline and specializes all function calls in performance-annotated functions and functions which are called from such functions.
In addition, the pass also does some other related optimizations: devirtualization, constant-folding Builtin.canBeClass, inlining of transparent functions and memory access optimizations.
To print the module, use the new llvm flag -sil-print-canonical-module
which parallels the existing flag -sil-view-canonical-cfg. When that
flag is passed, the new pass ModulePrinter is added to the diagnostic
pass pipeline after mandatory diagnostics have run. The new pass just
prints the module to stdout.
ARC operations don't have an effect on immortal objects, like the empty array singleton or statically allocated arrays.
Therefore we can freely remove and retain/release instructions on such objects, even if there is no paired balanced ARC operation.
This optimization can only be done with a minimum deployment target of Swift 5.1, because in that version we added immortal ref count bits.
The optimization is implemented in libswift. Additionally, the remaining logic of simplifying strong_retain and strong_release is also ported to libswift.
rdar://81482156
* unify FunctionPassContext and InstructionPassContext
* add a modification API: PassContext.setOperand
* automatic invalidation notifications when the SIL is modified
