Previously we were linking in all SIL entities
if the input was a serialized non-SIB AST, and
`-disable-sil-linking` wasn't specified. However
none of the tests appear to want this behaviour.
Stop calling `SerializedSILLoader::getAll`, and
remove the `-disable-sil-linking` option, as this
is now the default behaviour.
The differentiation transform does the following:
- Canonicalizes differentiability witnesses by filling in missing derivative
function entries.
- Canonicalizes `differentiable_function` instructions by filling in missing
derivative function operands.
- If necessary, performs automatic differentiation: generating derivative
functions for original functions.
- When encountering non-differentiability code, produces a diagnostic and
errors out.
Partially resolves TF-1211: add the main canonicalization loop.
To incrementally stage changes, derivative functions are currently created
with empty bodies that fatal error with a nice message.
Derivative emitters will be upstreamed separately.
Previously, two conditions were necessary to enable differentiable programming:
- Using the `-enable-experimental-differentiable-programming` frontend flag.
- Importing the `_Differentiation` module.
Importing the `_Differentiation` module is the true condition because it
contains the required compiler-known `Differentiable` protocol. The frontend
flag is redundant and cumbersome.
Now, the frontend flag is removed.
Importing `_Differentiation` is the only condition.
Add type checking for `@differentiable` function types:
- Check that parameters and results conform to `Differentiable`.
- Implicitly conform parameters and results whose types are generic parameters
to `Differentiable`.
- Upstream most of the differentiable_func_type_type_checking.swift test from
`tensorflow` branch. A few function conversion tests have not been added
because they depend on the `@differentiable` function conversion pipeline.
Diagnose gracefully when the `Differentiable` protocol is unavailable because
`_Differentiation` has not been imported.
Resolves TF-823 and TF-1219.
Serialize "is linear?" flag, differentiability parameter indices, and
differentiability generic signature.
Deserialization has some ad-hoc logic for setting the original declaration and
parameter indices for `@differentiable` attributes because
`DeclDeserializer::deserializeDeclAttributes` does not have access to the
original declaration.
Resolves TF-836.
Delete `@differentiable` attribute `jvp:` and `vjp:` arguments for derivative
registration. `@derivative` attribute is now the canonical way to register
derivatives.
Resolves TF-1001.
Add test/AutoDiff/lit.local.cfg: run tests only when `differentiable_programming`
is enabled in lit. With this, individual tests no longer need
`REQUIRES: differentiable_programming`.
Move multi-functionality SIL tests from test/AutoDiff/SIL/Serialization to
test/AutoDiff/SIL.
Garden test filenames.
The new _Differentiable module is not available in any shipping OS release, but its public API currently doesn’t have availability, either.
Temporarily disable tests that import it when we’re testing with OS-provided libraries.
The typecheck test test/AutoDiff/stdlib/differentiable_protocol.swift imports _Differentable but still somehow succeeds in these configs, so leave that one enabled.
rdar://57975086
The `@transpose(of:)` attribute registers a function as a transpose of another
function. This patch adds the `@transpose(of:)` attribute definition, syntax,
parsing, and printing.
Resolves TF-827.
Todos:
- Type-checking (TF-830, TF-1060).
- Enable serialization (TF-838).
- Use module-qualified names instead of custom qualified name syntax/parsing
(TF-1066).
Upstream `@derivative` attribute serialization/deserialization.
Test all original declaration kinds and various `wrt:` parameter clauses.
Resolves TF-837.
The `@derivative(of:)` attribute registers a function as a derivative of another
function. This patch adds the `@derivative(of:)` attribute definition, syntax,
parsing, and printing.
Resolves TF-826.
Todos:
- Type-checking (TF-829).
- Serialization (TF-837).
