blob: 26bad25d004347060a83168853614385fe47054a [file] [log] [blame]
//===--- FloatingPointDifferentiation.swift.gyb ---------------*- swift -*-===//
//
// This source file is part of the Swift.org open source project
//
// Copyright (c) 2020 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
//
//===----------------------------------------------------------------------===//
import SwiftShims
% from SwiftFloatingPointTypes import all_floating_point_types
% for self_type in all_floating_point_types():
%{
Self = self_type.stdlib_name
bits = self_type.bits
def Availability(bits):
if bits == 16:
return '@available(iOS 14.0, tvOS 14.0, watchOS 7.0, *)'
return ''
}%
% if bits == 80:
#if !(os(Windows) || os(Android)) && (arch(i386) || arch(x86_64))
% end
% if bits == 16:
#if !os(macOS) && !(os(iOS) && targetEnvironment(macCatalyst))
% end
//===----------------------------------------------------------------------===//
// Protocol conformances
//===----------------------------------------------------------------------===//
${Availability(bits)}
extension ${Self}: Differentiable {
${Availability(bits)}
public typealias TangentVector = ${Self}
${Availability(bits)}
public mutating func move(along direction: TangentVector) {
self += direction
}
@inlinable
public var zeroTangentVectorInitializer: () -> TangentVector {
{ 0 }
}
}
// SWIFT_ENABLE_TENSORFLOW
${Availability(bits)}
extension ${Self} : EuclideanDifferentiable {}
// SWIFT_ENABLE_TENSORFLOW END
// SWIFT_ENABLE_TENSORFLOW
${Availability(bits)}
extension ${Self} : VectorProtocol {
${Availability(bits)}
public typealias VectorSpaceScalar = ${Self}
${Availability(bits)}
public func adding(_ x: ${Self}) -> ${Self} {
self + x
}
${Availability(bits)}
public mutating func add(_ x: ${Self}) {
self += x
}
${Availability(bits)}
public func subtracting(_ x: ${Self}) -> ${Self} {
self - x
}
${Availability(bits)}
public mutating func subtract(_ x: ${Self}) {
self -= x
}
${Availability(bits)}
public func scaled(by scalar: ${Self}) -> ${Self} {
self * scalar
}
${Availability(bits)}
public mutating func scale(by scalar: ${Self}) {
self *= scalar
}
}
// SWIFT_ENABLE_TENSORFLOW END
//===----------------------------------------------------------------------===//
// Derivatives
//===----------------------------------------------------------------------===//
/// Derivatives of standard unary operators.
${Availability(bits)}
extension ${Self} {
@usableFromInline
@_transparent
@derivative(of: -)
static func _vjpNegate(x: ${Self})
-> (value: ${Self}, pullback: (${Self}) -> ${Self}) {
return (-x, { v in -v })
}
@usableFromInline
@_transparent
@derivative(of: -)
static func _jvpNegate(x: ${Self})
-> (value: ${Self}, differential: (${Self}) -> ${Self}) {
return (-x, { dx in -dx })
}
}
/// Derivatives of standard binary operators.
${Availability(bits)}
extension ${Self} {
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: +)
static func _vjpAdd(
lhs: ${Self}, rhs: ${Self}
) -> (value: ${Self}, pullback: (${Self}) -> (${Self}, ${Self})) {
return (lhs + rhs, { v in (v, v) })
}
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: +)
static func _jvpAdd(
lhs: ${Self}, rhs: ${Self}
) -> (value: ${Self}, differential: (${Self}, ${Self}) -> ${Self}) {
return (lhs + rhs, { (dlhs, drhs) in dlhs + drhs })
}
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: +=)
static func _vjpAddAssign(_ lhs: inout ${Self}, _ rhs: ${Self}) -> (
value: Void, pullback: (inout ${Self}) -> ${Self}
) {
lhs += rhs
return ((), { v in v })
}
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: +=)
static func _jvpAddAssign(_ lhs: inout ${Self}, _ rhs: ${Self}) -> (
value: Void, differential: (inout ${Self}, ${Self}) -> Void
) {
lhs += rhs
return ((), { $0 += $1 })
}
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: -)
static func _vjpSubtract(
lhs: ${Self}, rhs: ${Self}
) -> (value: ${Self}, pullback: (${Self}) -> (${Self}, ${Self})) {
return (lhs - rhs, { v in (v, -v) })
}
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: -)
static func _jvpSubtract(
lhs: ${Self}, rhs: ${Self}
) -> (value: ${Self}, differential: (${Self}, ${Self}) -> ${Self}) {
return (lhs - rhs, { (dlhs, drhs) in dlhs - drhs })
}
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: -=)
static func _vjpSubtractAssign(_ lhs: inout ${Self}, _ rhs: ${Self}) -> (
value: Void, pullback: (inout ${Self}) -> ${Self}
) {
lhs -= rhs
return ((), { v in -v })
}
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: -=)
static func _jvpSubtractAssign(_ lhs: inout ${Self}, _ rhs: ${Self}) -> (
value: Void, differential: (inout ${Self}, ${Self}) -> Void
) {
lhs -= rhs
return ((), { $0 -= $1 })
}
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: *)
static func _vjpMultiply(
lhs: ${Self}, rhs: ${Self}
) -> (value: ${Self}, pullback: (${Self}) -> (${Self}, ${Self})) {
return (lhs * rhs, { v in (rhs * v, lhs * v) })
}
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: *)
static func _jvpMultiply(
lhs: ${Self}, rhs: ${Self}
) -> (value: ${Self}, differential: (${Self}, ${Self}) -> ${Self}) {
return (lhs * rhs, { (dlhs, drhs) in lhs * drhs + rhs * dlhs })
}
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: *=)
static func _vjpMultiplyAssign(_ lhs: inout ${Self}, _ rhs: ${Self}) -> (
value: Void, pullback: (inout ${Self}) -> ${Self}
) {
defer { lhs *= rhs }
return ((), { [lhs = lhs] v in
let drhs = lhs * v
v *= rhs
return drhs
})
}
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: *=)
static func _jvpMultiplyAssign(_ lhs: inout ${Self}, _ rhs: ${Self}) -> (
value: Void, differential: (inout ${Self}, ${Self}) -> Void
) {
let oldLhs = lhs
lhs *= rhs
return ((), { $0 = $0 * rhs + oldLhs * $1 })
}
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: /)
static func _vjpDivide(
lhs: ${Self}, rhs: ${Self}
) -> (value: ${Self}, pullback: (${Self}) -> (${Self}, ${Self})) {
return (lhs / rhs, { v in (v / rhs, -lhs / (rhs * rhs) * v) })
}
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: /)
static func _jvpDivide(
lhs: ${Self}, rhs: ${Self}
) -> (value: ${Self}, differential: (${Self}, ${Self}) -> ${Self}) {
return (lhs / rhs, { (dlhs, drhs) in dlhs / rhs - lhs / (rhs * rhs) * drhs })
}
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: /=)
static func _vjpDivideAssign(_ lhs: inout ${Self}, _ rhs: ${Self}) -> (
value: Void, pullback: (inout ${Self}) -> ${Self}
) {
defer { lhs /= rhs }
return ((), { [lhs = lhs] v in
let drhs = -lhs / (rhs * rhs) * v
v /= rhs
return drhs
})
}
${Availability(bits)}
@inlinable // FIXME(sil-serialize-all)
@_transparent
@derivative(of: /=)
static func _jvpDivideAssign(_ lhs: inout ${Self}, _ rhs: ${Self}) -> (
value: Void, differential: (inout ${Self}, ${Self}) -> Void
) {
let oldLhs = lhs
lhs /= rhs
return ((), { $0 = ($0 * rhs - oldLhs * $1) / (rhs * rhs) })
}
}
% if bits == 80 or bits == 16:
#endif
% end
% end
extension FloatingPoint
where
Self: Differentiable,
Self == Self.TangentVector
{
@inlinable // FIXME(sil-serialize-all)
@derivative(of: addingProduct)
func _vjpAddingProduct(
_ lhs: Self, _ rhs: Self
) -> (value: Self, pullback: (Self) -> (Self, Self, Self)) {
return (addingProduct(lhs, rhs), { _ in (1, rhs, lhs) })
}
@inlinable // FIXME(sil-serialize-all)
@derivative(of: squareRoot)
func _vjpSquareRoot() -> (value: Self, pullback: (Self) -> Self) {
let y = squareRoot()
return (y, { v in v / (2 * y) })
}
}