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//===--- Differentiation.swift -------------------------------------------===//
//
// This source file is part of the Swift.org open source project
//
// Copyright (c) 2014 - 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
//
//===----------------------------------------------------------------------===//
#if canImport(_Differentiation)
import TestsUtils
import _Differentiation
public let benchmarks = [
BenchmarkInfo(
name: "DifferentiationIdentity",
runFunction: run_DifferentiationIdentity,
tags: [.regression, .differentiation]
),
BenchmarkInfo(
name: "DifferentiationSquare",
runFunction: run_DifferentiationSquare,
tags: [.regression, .differentiation]
),
BenchmarkInfo(
name: "DifferentiationArraySum",
runFunction: run_DifferentiationArraySum,
tags: [.regression, .differentiation],
setUpFunction: { blackHole(onesArray) }
),
]
@inline(never)
public func run_DifferentiationIdentity(n: Int) {
func f(_ x: Float) -> Float {
x
}
for _ in 0..<1000*n {
blackHole(valueWithGradient(at: 1, of: f))
}
}
@inline(never)
public func run_DifferentiationSquare(n: Int) {
func f(_ x: Float) -> Float {
x * x
}
for _ in 0..<1000*n {
blackHole(valueWithGradient(at: 1, of: f))
}
}
let onesArray: [Float] = Array(repeating: 1, count: 50)
@inline(never)
public func run_DifferentiationArraySum(n: Int) {
func sum(_ array: [Float]) -> Float {
var result: Float = 0
for i in withoutDerivative(at: 0..<array.count) {
result += array[i]
}
return result
}
for _ in 0..<n {
blackHole(valueWithGradient(at: onesArray, of: sum))
}
}
#endif
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