Files
swift-mirror/lib/AST/AutoDiff.cpp
Dan Zheng bb1052ca3e [AutoDiff upstream] Upstream @derivative attribute type-checking. (#28738)
The `@derivative` attribute registers a function as a derivative of another
function-like declaration: a `func`, `init`, `subscript`, or `var` computed
property declaration.

The `@derivative` attribute also has an optional `wrt:` clause specifying the
parameters that are differentiated "with respect to", i.e. the differentiation
parameters. The differentiation parameters must conform to the `Differentiable`
protocol.

If the `wrt:` clause is unspecified, the differentiation parameters are inferred
to be all parameters that conform to `Differentiable`.

`@derivative` attribute type-checking verifies that the type of the derivative
function declaration is consistent with the type of the referenced original
declaration and the differentiation parameters.

The `@derivative` attribute is gated by the
`-enable-experimental-differentiable-programming` flag.

Resolves TF-829.
2019-12-12 18:18:18 -08:00

69 lines
2.7 KiB
C++

//===--- AutoDiff.cpp - Swift automatic differentiation utilities ---------===//
//
// This source file is part of the Swift.org open source project
//
// Copyright (c) 2019 Apple Inc. and the Swift project authors
// Licensed under Apache License v2.0 with Runtime Library Exception
//
// See https://swift.org/LICENSE.txt for license information
// See https://swift.org/CONTRIBUTORS.txt for the list of Swift project authors
//
//===----------------------------------------------------------------------===//
#include "swift/AST/AutoDiff.h"
#include "swift/AST/Types.h"
using namespace swift;
// TODO(TF-874): This helper is inefficient and should be removed. Unwrapping at
// most once (for curried method types) is sufficient.
static void unwrapCurryLevels(AnyFunctionType *fnTy,
SmallVectorImpl<AnyFunctionType *> &results) {
while (fnTy != nullptr) {
results.push_back(fnTy);
fnTy = fnTy->getResult()->getAs<AnyFunctionType>();
}
}
static unsigned countNumFlattenedElementTypes(Type type) {
if (auto *tupleTy = type->getCanonicalType()->getAs<TupleType>())
return accumulate(tupleTy->getElementTypes(), 0,
[&](unsigned num, Type type) {
return num + countNumFlattenedElementTypes(type);
});
return 1;
}
// TODO(TF-874): Simplify this helper and remove the `reverseCurryLevels` flag.
// See TF-874 for WIP.
void autodiff::getSubsetParameterTypes(IndexSubset *subset,
AnyFunctionType *type,
SmallVectorImpl<Type> &results,
bool reverseCurryLevels) {
SmallVector<AnyFunctionType *, 2> curryLevels;
unwrapCurryLevels(type, curryLevels);
SmallVector<unsigned, 2> curryLevelParameterIndexOffsets(curryLevels.size());
unsigned currentOffset = 0;
for (unsigned curryLevelIndex : llvm::reverse(indices(curryLevels))) {
curryLevelParameterIndexOffsets[curryLevelIndex] = currentOffset;
currentOffset += curryLevels[curryLevelIndex]->getNumParams();
}
// If `reverseCurryLevels` is true, reverse the curry levels and offsets.
if (reverseCurryLevels) {
std::reverse(curryLevels.begin(), curryLevels.end());
std::reverse(curryLevelParameterIndexOffsets.begin(),
curryLevelParameterIndexOffsets.end());
}
for (unsigned curryLevelIndex : indices(curryLevels)) {
auto *curryLevel = curryLevels[curryLevelIndex];
unsigned parameterIndexOffset =
curryLevelParameterIndexOffsets[curryLevelIndex];
for (unsigned paramIndex : range(curryLevel->getNumParams()))
if (subset->contains(parameterIndexOffset + paramIndex))
results.push_back(curryLevel->getParams()[paramIndex].getOldType());
}
}