Files
swift-mirror/test/AutoDiff/validation-test/address_only_tangentvector.swift
Erik Eckstein c89df9ec98 Mandatory optimizations: constant fold boolean literals before the DefiniteInitialization pass
Add a new mandatory BooleanLiteralFolding pass which constant folds conditional branches with boolean literals as operands.

```
  %1 = integer_literal -1
  %2 = apply %bool_init(%1)   // Bool.init(_builtinBooleanLiteral:)
  %3 = struct_extract %2, #Bool._value
  cond_br %3, bb1, bb2
```
->
```
  ...
  br bb1
```

This pass is intended to run before DefiniteInitialization, where mandatory inlining and constant folding didn't run, yet (which would perform this kind of optimization).
This optimization is required to let DefiniteInitialization handle boolean literals correctly.
For example in infinite loops:

```
   init() {
     while true {           // DI need to know that there is no loop exit from this while-statement
       if some_condition {
         member_field = init_value
         break
       }
     }
   }
```
2024-01-10 16:15:57 +01:00

71 lines
2.1 KiB
Swift

// RUN: %target-run-simple-swift
// REQUIRES: executable_test
// Would fail due to unavailability of swift_autoDiffCreateLinearMapContext.
import StdlibUnittest
import DifferentiationUnittest
var AddressOnlyTangentVectorTests = TestSuite("AddressOnlyTangentVector")
// TF-1149: Test loadable class type with an address-only `TangentVector` type.
AddressOnlyTangentVectorTests.test("LoadableClassAddressOnlyTangentVector") {
final class LoadableClass<T: Differentiable>: Differentiable {
@differentiable(reverse)
var stored: T
@differentiable(reverse)
init(_ stored: T) {
self.stored = stored
}
@differentiable(reverse)
func method(_ x: T) -> T {
stored
}
}
@differentiable(reverse)
func projection<T: Differentiable>(_ s: LoadableClass<T>) -> T {
var x = s.stored
return x
}
expectEqual(.init(stored: 1), gradient(at: LoadableClass<Float>(10), of: projection))
@differentiable(reverse)
func tuple<T: Differentiable>(_ s: LoadableClass<T>) -> T {
var tuple = (s, (s, s))
return tuple.1.0.stored
}
expectEqual(.init(stored: 1), gradient(at: LoadableClass<Float>(10), of: tuple))
@differentiable(reverse)
func conditional<T: Differentiable>(_ s: LoadableClass<T>) -> T {
var tuple = (s, (s, s))
// TODO: cannot use literal `false` because it crashes
if 1 == 0 {}
return tuple.1.0.stored
}
expectEqual(.init(stored: 1), gradient(at: LoadableClass<Float>(10), of: conditional))
@differentiable(reverse)
func loop<T: Differentiable>(_ array: [LoadableClass<T>]) -> T {
var result: [LoadableClass<T>] = []
for i in withoutDerivative(at: array.indices) {
result.append(array[i])
}
return result[0].stored
}
expectEqual([.init(stored: 1)], gradient(at: [LoadableClass<Float>(10)], of: loop))
@differentiable(reverse)
func arrayLiteral<T: Differentiable>(_ s: LoadableClass<T>) -> T {
var result: [[LoadableClass<T>]] = [[s, s]]
return result[0][1].stored
}
expectEqual(.init(stored: 1), gradient(at: LoadableClass<Float>(10), of: arrayLiteral))
}
runAllTests()