For performance annotations we need the generic specializer to trop non-generic metatype argumentrs
(which we don't do in general). For this we need a separate mangling.
Upgrade the old mangling from a list of argument types to a
list of requiremnets. For now, only same-type requirements
may actually be mangled since those are all that are available
to the surface language.
Reconstruction of existential types now consists of demangling (a list of)
base protocol(s), decoding the constraints, and converting the same-type
constraints back into a list of arguments.
rdar://96088707
The layout of constant static arrays differs from non-constant static arrays.
Therefore use a different mangling to get symbol mismatches if for some reason two modules don't agree on which version a static array is.
I wrote out this whole analysis of why different existential types
might have the same logical content, and then I turned around and
immediately uniqued existential shapes purely by logical content
rather than the (generalized) formal type. Oh well. At least it's
not too late to make ABI changes like this.
We now store a reference to a mangling of the generalized formal
type directly in the shape. This type alone is sufficient to unique
the shape:
- By the nature of the generalization algorithm, every type parameter
in the generalization signature should be mentioned in the
generalized formal type in a deterministic order.
- By the nature of the generalization algorithm, every other
requirement in the generalization signature should be implied
by the positions in which generalization type parameters appear
(e.g. because the formal type is C<T> & P, where C constrains
its type parameter for well-formedness).
- The requirement signature and type expression are extracted from
the existential type.
As a result, we no longer rely on computing a unique hash at
compile time.
Storing this separately from the requirement signature potentially
allows runtimes with general shape support to work with future
extensions to existential types even if they cannot demangle the
generalized formal type.
Storing the generalized formal type also allows us to easily and
reliably extract the formal type of the existential. Otherwise,
it's quite a heroic endeavor to match requirements back up with
primary associated types. Doing so would also only allows us to
extract *some* matching formal type, not necessarily the *right*
formal type. So there's some good synergy here.
Some of the functions inside the SWIFT_STDLIB_HAS_TYPE_PRINTING conditional
are now needed even in the minimal build as a result of #41452.
rdar://90839754
* [Distributed] dist actor always has default executor (currently)
* [Distributed] extra test for missing makeEncoder
* [DistributedDecl] Add DistributedActorSystem to known SDK types
* [DistributedActor] ok progress on getting the system via witness
* [Distributed] allow hop-to `let any: any X` where X is DistActor
* [Distributed] AST: Add an accessor to determine whether type is distributed actor
- Classes have specialized method on their declarations
- Archetypes and existentials check their conformances for
presence of `DistributedActor` protocol.
* [Distributed] AST: Account for distributed members declared in class extensions
`getConcreteReplacementForProtocolActorSystemType` should use `getSelfClassDecl`
otherwise it wouldn't be able to find actor if the member is declared in an extension.
* [Distributed] fix ad-hoc requirement checks for 'mutating'
[PreChecker] LookupDC might be null, so account for that
* [Distributed] Completed AST synthesis for dist thunk
* [Distributed][ASTDumper] print pretty distributed in right color in AST dumps
* wip on making the local/remote calls
* using the _local to mark the localCall as known local
* [Distributed] fix passing Never when not throwing
* fix lifetime of mangled string
* [Distributed] Implement recordGenericSubstitution
* [Distributed] Dont add .
* [Distributed] dont emit thunk when func broken
* [Distributed] fix tests; cleanups
* [Distributed] cleanup, move is... funcs to DistributedDecl
* [Distributed] Remove SILGen for distributed thunks, it is in Sema now!
* [Distributed] no need to check stored props in protocols
* remote not used flag
* fix mangling test
* [Distributed] Synthesis: Don't re-use AST nodes for `decodeArgument` references
* [Distributed] Synthesis: Make sure that each thunk parameter has an internal name
* [Distributed/Synthesis] NFC: Add a comment regarding empty internal parameter names
* [Distributed] NFC: Adjust distributed thunk manglings in the accessor section test-cases
* cleanup
* [Distributed] NFC: Adjust distributed thunk manglings in the accessor thunk test-cases
* review follow ups
* xfail some linux tests for now so we can land the AST thunk
* Update distributed_actor_remote_functions.swift
Co-authored-by: Pavel Yaskevich <xedin@apache.org>
The `Qr` mangling is used to refer to the opaque type within the
declaration that produces the opaque type. When there are multiple
opaque types, e.g., due to structural or named opaque result types, it
does not specify which of the opaque type parameters it refers to.
Introduce a new mangling `QR INDEX` for opaque type parameters after
the first, retaining the `Qr` mangling for the first opaque type
parameter. This way, existing (non-structural) uses of opaque result
types retain the same manglings, but uses of structural or named
opaque result types (new features) will have distinct manglings.
Note that this mangling within a declaration is only used for the
declaration itself, and not for references to the opaque type of the
declaration, so there is no impact on the runtime demangler.
This cleans up 90 instances of this warning and reduces the build spew
when building on Linux. This helps identify actual issues when
building which can get lost in the stream of warning messages. It also
helps restore the ability to build the compiler with gcc.
Distributed thunks were using the same mangling as direct method
reference thunks (i.e., for "super" calls). Although not technically
conflicting so long as actors never gain inheritance, it's confusing
and could cause problems in the future. So, introduce a distinct
mangling for distributed thunks and plumb them through the demangling
and remangler.
There can be, currently, up to eight child nodes for a FunctionType.
OldRemangler seemed to think there could only be three, while NodePrinter
plumped for six.
rdar://82252704
It's trivially easy to drive the remanglers, the type decoder and the node
printer into a situation where they will overflow the process's stack. For the
compiler, this is fine (though not great), but for the runtime it's a no-no.
This changeset imposes recursion depth limits to prevent uncontrolled stack
overruns.
rdar://68449341
Isolated parameters are part of function types. Encode them in function
type manglings and metadata, and ensure that they round-trip through
the various mangling and metadata facilities. This nails down the ABI
for isolated parameters.
ImplFunctionType nodes inside optionals are wrapped in Type nodes,
which means that isSimpleType() needs to look through the Type node
when we're printing them, or we fail to wrap them with parentheses.
<rdar://67915116>
Implement name mangling, type metadata, runtime demangling, etc. for
global-actor qualified function types. Ensure that the manglings
round-trip through the various subsystems.
Implements rdar://78269642.
For `async` function types, an actor constraint can be enforced by the callee by hopping executors,
unlike with `sync` functions, so doesn't need to influence the outward type of the function.
rdar://76248452
Repurpose mangling operator `Y` as an umbrella operator that covers new attributes on function types. Free up operators `J`, `j`, and `k`.
```
async ::= 'Ya' // 'async' annotation on function types
sendable ::= 'Yb' // @Sendable on function types
throws ::= 'K' // 'throws' annotation on function types
differentiable ::= 'Yjf' // @differentiable(_forward) on function type
differentiable ::= 'Yjr' // @differentiable(reverse) on function type
differentiable ::= 'Yjd' // @differentiable on function type
differentiable ::= 'Yjl' // @differentiable(_linear) on function type
```
Resolves rdar://76299796.
`@noDerivative` was not mangled in function types, and was resolved incorrectly when there's an ownership specifier. It is fixed by this patch with the following changes:
* Add `NoDerivative` demangle node represented by a `k` operator.
```
list-type ::= type identifier? 'k'? 'z'? 'h'? 'n'? 'd'? // type with optional label, '@noDerivative', inout convention, shared convention, owned convention, and variadic specifier
```
* Fix `NoDerivative`'s overflown offset in `ParameterTypeFlags` (`7` -> `6`).
* In type decoder and type resolver where attributed type nodes are processed, add support for nested attributed nodes, e.g. `inout @noDerivative T`.
* Add `TypeResolverContext::InoutFunctionInput` so that when we resolve an `inout @noDerivative T` parameter, the `@noDerivative T` checking logic won't get a `TypeResolverContext::None` set by the caller.
Resolves rdar://75916833.
* Move differentiability kinds from target function type metadata to trailing objects so that we don't exhaust all remaining bits of function type metadata.
* Differentiability kind is now stored in a tail-allocated word when function type flags say it's differentiable, located immediately after the normal function type metadata's contents (with proper alignment in between).
* Add new runtime function `swift_getFunctionTypeMetadataDifferentiable` which handles differentiable function types.
* Fix mangling of different differentiability kinds in function types. Mangle it like `ConcurrentFunctionType` so that we can drop special cases for escaping functions.
```
function-signature ::= params-type params-type async? sendable? throws? differentiable? // results and parameters
...
differentiable ::= 'jf' // @differentiable(_forward) on function type
differentiable ::= 'jr' // @differentiable(reverse) on function type
differentiable ::= 'jd' // @differentiable on function type
differentiable ::= 'jl' // @differentiable(_linear) on function type
```
Resolves rdar://75240064.
Import APIs with the `swift_async_error` attribute in `zero_argument` or `nonzero_argument`
modes by checking the corresponding boolean argument to indicate the error status, instead of
treating it as part of the result tuple. rdar://70594666
Add the following new mangling rules.
```
global ::= from-type to-type 'TJO' AUTODIFF-FUNCTION-KIND // autodiff self-reordering reabstraction thunk
global ::= from-type 'TJS' AUTODIFF-FUNCTION-KIND INDEX-SUBSET 'p' INDEX-SUBSET 'r' INDEX-SUBSET 'P' // autodiff linear map subset parameters thunk
global ::= global to-type 'TJS' AUTODIFF-FUNCTION-KIND INDEX-SUBSET 'p' INDEX-SUBSET 'r' INDEX-SUBSET 'P' // autodiff derivative function subset parameters thunk
```
Example:
```console
$s13TangentVector16_Differentiation14DifferentiablePQzAaDQy_SdAFIegnnnr_TJSdSSSpSrSUSP ---> autodiff subset parameters thunk for differential from @escaping @callee_guaranteed (@in_guaranteed A._Differentiation.Differentiable.TangentVector, @in_guaranteed B._Differentiation.Differentiable.TangentVector, @in_guaranteed Swift.Double) -> (@out B._Differentiation.Differentiable.TangentVector) with respect to parameters {0, 1, 2} and results {0} to parameters {0, 2}
$sS2f8mangling3FooV13TangentVectorVIegydd_SfAESfIegydd_TJOp ---> autodiff self-reordering reabstraction thunk for pullback from @escaping @callee_guaranteed (@unowned Swift.Float) -> (@unowned Swift.Float, @unowned mangling.Foo.TangentVector) to @escaping @callee_guaranteed (@unowned Swift.Float) -> (@unowned mangling.Foo.TangentVector, @unowned Swift.Float)
```
Resolves rdar://72666310 / SR-13508.
Also fix a bug in `AutoDiffFunction` mangling where the original may be a global that contains more than 1 node (rdar://74151229 / SR-14106).
Compiler:
- Add `Forward` and `Reverse` to `DifferentiabilityKind`.
- Expand `DifferentiabilityMask` in `ExtInfo` to 3 bits so that it now holds all 4 cases of `DifferentiabilityKind`.
- Parse `@differentiable(reverse)` and `@differentiable(_forward)` declaration attributes and type attributes.
- Emit a warning for `@differentiable` without `reverse`.
- Emit an error for `@differentiable(_forward)`.
- Rename `@differentiable(linear)` to `@differentiable(_linear)`.
- Make `@differentiable(reverse)` type lowering go through today's `@differentiable` code path. We will specialize it to reverse-mode in a follow-up patch.
ABI:
- Add `Forward` and `Reverse` to `FunctionMetadataDifferentiabilityKind`.
- Extend `TargetFunctionTypeFlags` by 1 bit to store the highest bit of differentiability kind (linear). Note that there is a 2-bit gap in `DifferentiabilityMask` which is reserved for `AsyncMask` and `ConcurrentMask`; `AsyncMask` is ABI-stable so we cannot change that.
_Differentiation module:
- Replace all occurrences of `@differentiable` with `@differentiable(reverse)`.
- Delete `_transpose(of:)`.
Resolves rdar://69980056.
