The new flag will be used to track whether a borrow scope corresponds to
a source-level lexical scope. Here, the flag is just added to the
instruction and represented in textual and serialized SIL.
This makes sure that all analysis will get the `notifyAddedOrModifiedFunction` notifications.
This fixes a crash in CallerAnalysis, which relies that it's notified for all newly created functions.
This is related to following bug reports for cross-module-optimization:
https://bugs.swift.org/browse/SR-15048
rdar://81701218
Although I believe that there are more bugs involved which need to be fixed.
Unfortunately I don't have a test case for this fix.
SILGen this builtin to a mandatory hop_to_executor with an actor type
operand.
e.g.
Task.detached {
Builtin.hopToActor(MainActor.shared)
await suspend()
}
Required to fix a bug in _runAsyncMain.
This showed up when trying to convert swift-package-manager to build
using static linking on Windows. We would not correctly identify the
module as being static due to there being no DeclContext for emission.
Instead, put the archetype->instrution map into SIlModule.
SILOpenedArchetypesTracker tried to maintain and reconstruct the mapping locally, e.g. during a use of SILBuilder.
Having a "global" map in SILModule makes the whole logic _much_ simpler.
I'm wondering why we didn't do this in the first place.
This requires that opened archetypes must be unique in a module - which makes sense. This was the case anyway, except for keypath accessors (which I fixed in the previous commit) and in some sil test files.
Through various means, it is possible for a synchronous actor-isolated
function to escape to another concurrency domain and be called from
outside the actor. The problem existed previously, but has become far
easier to trigger now that `@escaping` closures and local functions
can be actor-isolated.
Introduce runtime detection of such data races, where a synchronous
actor-isolated function ends up being called from the wrong executor.
Do this by emitting an executor check in actor-isolated synchronous
functions, where we query the executor in thread-local storage and
ensure that it is what we expect. If it isn't, the runtime complains.
The runtime's complaints can be controlled with the environment
variable `SWIFT_UNEXPECTED_EXECUTOR_LOG_LEVEL`:
0 - disable checking
1 - warn when a data race is detected
2 - error and abort when a data race is detected
At an implementation level, this introduces a new concurrency runtime
entry point `_checkExpectedExecutor` that checks the given executor
(on which the function should always have been called) against the
executor on which is called (which is in thread-local storage). There
is a special carve-out here for `@MainActor` code, where we check
against the OS's notion of "main thread" as well, so that `@MainActor`
code can be called via (e.g.) the Dispatch library's
`DispatchQueue.main.async`.
The new SIL instruction `extract_executor` performs the lowering of an
actor down to its executor, which is implicit in the `hop_to_executor`
instruction. Extend the LowerHopToExecutor pass to perform said
lowering.
Refactor SILGen's ApplyOptions into an OptionSet, add a
DoesNotAwait flag to go with DoesNotThrow, and sink it
all down into SILInstruction.h.
Then, replace the isNonThrowing() flag in ApplyInst and
BeginApplyInst with getApplyOptions(), and plumb it
through to TryApplyInst as well.
Set the flag when SILGen emits a sync call to a reasync
function.
When set, this disables the SIL verifier check against
calling async functions from sync functions.
Finally, this allows us to add end-to-end tests for
rdar://problem/71098795.
Otherwise, one runs into memory corruption. I ran into this while enabling ossa
on the stdlib for non-Darwin platforms.
Hopefully we do not regress on this again when someone adds more optzns that
eliminate these since I added a big NOTE to warn people to do it and implemented
support even for the entities we do not support deleting at the SIL
level... yet.
`differentiability_function_extract` instruction has an optional explicit
extractee type. This is currently used by TypeSubstCloner and the
LoadableByAddress transform to rewrite `differentiability_function_extract`
instructions while preserving `@differentiable` function type invariants.
There is an assertion that `differentiability_function_extract` instructions do
not have explicit extractee types outside of canonical/lowered SIL. However,
this does not handle the SIL deserialization case above: when a function
containing a `differentiable_function_extract` instruction with an explicit type
is deserialized into a raw SIL module (which happens when optimizations are
enabled).
Removing the assertion unblocks this encountered use case.
A more robust longer-term solution may be to change SIL `@differentiable`
function types to explicitly store component original/JVP/VJP function types.
Also fix `differentiable_function_extract` extractee type serialization.
Resolves SR-14004.
This makes it easier to understand conceptually why a ValueOwnershipKind with
Any ownership is invalid and also allowed me to explicitly document the lattice
that relates ownership constraints/value ownership kinds.
This instructions ensures that all instructions, which need to run on the specified executor actually run on that executor.
For details see the description in SIL.rst.
```
@_specialize(exported: true, spi: SPIGroupName, where T == Int)
public func myFunc() { }
```
The specialized entry point is only visible for modules that import
using `_spi(SPIGroupName) import ModuleDefiningMyFunc `.
rdar://64993425
This attribute allows to define a pre-specialized entry point of a
generic function in a library.
The following definition provides a pre-specialized entry point for
`genericFunc(_:)` for the parameter type `Int` that clients of the
library can call.
```
@_specialize(exported: true, where T == Int)
public func genericFunc<T>(_ t: T) { ... }
```
Pre-specializations of internal `@inlinable` functions are allowed.
```
@usableFromInline
internal struct GenericThing<T> {
@_specialize(exported: true, where T == Int)
@inlinable
internal func genericMethod(_ t: T) {
}
}
```
There is syntax to pre-specialize a method from a different module.
```
import ModuleDefiningGenericFunc
@_specialize(exported: true, target: genericFunc(_:), where T == Double)
func prespecialize_genericFunc(_ t: T) { fatalError("dont call") }
```
Specially marked extensions allow for pre-specialization of internal
methods accross module boundries (respecting `@inlinable` and
`@usableFromInline`).
```
import ModuleDefiningGenericThing
public struct Something {}
@_specializeExtension
extension GenericThing {
@_specialize(exported: true, target: genericMethod(_:), where T == Something)
func prespecialize_genericMethod(_ t: T) { fatalError("dont call") }
}
```
rdar://64993425
`get_async_continuation[_addr]` begins a suspend operation by accessing the continuation value that can resume
the task, which can then be used in a callback or event handler before executing `await_async_continuation` to
suspend the task.
hasCReferences is used to determine that the function is externally
available. If a function has @_cdecl and not used from anywhere in Swift
side code, it will be emitted due to its hasCReferences. But if the
attribute is not restored from sib, it won't be emitted even if it's
used externally. So we need to serialize the attribute.
subclassScope was always set as NotApplicable when deserialized but we
need to serialize and deserialize it to keep correct linkage when using
SIB
```swift
open class Visitor {
public func visit() {
visitExprImpl()
}
@_optimize(none)
private func visitExprImpl() {
}
}
```
In this case, `visitExprImpl` is private but subclassScope is External.
So it should be lowered as an external function at LLVM IR level.
But once it's serialized into SIB, subclassScope of `visitExprImpl` was
deserialized as NotApplicable because it was not serialized. This
mismatch makes `visitExprImpl` lowered as an internal function at LLVM
IR level.
So `subclassScope` should be serialized.
Today unchecked_bitwise_cast returns a value with ObjCUnowned ownership. This is
important to do since the instruction can truncate memory meaning we want to
treat it as a new object that must be copied before use.
This means that in OSSA we do not have a purely ossa forwarding unchecked
layout-compatible assuming cast. This role is filled by unchecked_value_cast.
The difference with `ModuleFile` is that `ModuleFileSharedCore` provides immutable data and is independent of a particular ASTContext.
It is designed to be able to be shared across multiple `ModuleFile`s of different `ASTContext`s in a thread-safe manner.
Its use in deserialization can be replaced with a
more general check for whether we're deserializing
into the same module. Its use in the SILVerifier
is subsumed by the check for whether the SILModule
is canonical, which it isn't during merge-modules.
The ``base_addr_for_offset`` instruction creates a base address for offset calculations.
The result can be used by address projections, like ``struct_element_addr``, which themselves return the offset of the projected fields.
IR generation simply creates a null pointer for ``base_addr_for_offset``.
Private and internal classes shouldn't have ABI constraints on their concrete vtable layout, so if methods
don't have overrides in practice, we can elide their vtable entries.
`DifferentiableFunctionInst` now stores result indices.
`SILAutoDiffIndices` now stores result indices instead of a source index.
`@differentiable` SIL function types may now have multiple differentiability
result indices and `@noDerivative` resutls.
`@differentiable` AST function types do not have `@noDerivative` results (yet),
so this functionality is not exposed to users.
Resolves TF-689 and TF-1256.
Infrastructural support for TF-983: supporting differentiation of `apply`
instructions with multiple active semantic results.
This will let us track class methods that must exist for pass ordering, interface, or ABI reasons, but which can
be given more efficient runtime representation because they have no overrides.
* a new [immutable] attribute on ref_element_addr and ref_tail_addr
* new instructions: begin_cow_mutation and end_cow_mutation
These new instructions are intended to be used for the stdlib's COW containers, e.g. Array.
They allow more aggressive optimizations, especially for Array.
This became necessary after recent function type changes that keep
substituted generic function types abstract even after substitution to
correctly handle automatic opaque result type substitution.
Instead of performing the opaque result type substitution as part of
substituting the generic args the underlying type will now be reified as
part of looking at the parameter/return types which happens as part of
the function convention apis.
rdar://62560867
Add `linear_function` and `linear_function_extract` instructions.
`linear_function` creates a `@differentiable(linear)` function-typed value from
an original function operand and a transpose function operand (optional).
`linear_function_extract` extracts either the original or transpose function
value from a `@differentiable(linear)` function.
Resolves TF-1142 and TF-1143.
