Files
swift-mirror/test/AutoDiff/stdlib/differential_operators.swift.gyb
Richard Wei 0b53a02544 [AutoDiff] Rename 'in:' to 'of:' in differential operators.
Rename the argument label `in:` in `gradient(at:in:)`, `pullback(at:in:)`, etc to `of:`, as suggested in the [pitch thread](https://forums.swift.org/t/differentiable-programming-for-gradient-based-machine-learning/42147).
2021-02-24 01:33:42 -05:00

65 lines
2.2 KiB
Swift

// RUN: %empty-directory(%t)
// RUN: %gyb %s -o %t/differential_operators.swift
// RUN: %target-build-swift %t/differential_operators.swift -o %t/differential_operators
// RUN: %target-codesign %t/differential_operators
// RUN: %target-run %t/differential_operators
// REQUIRES: executable_test
import _Differentiation
import StdlibUnittest
var DifferentialOperatorTestSuite = TestSuite("DifferentialOperator")
% for arity in range(1, 3 + 1):
% params = ', '.join(['_ x%d: Float' % i for i in range(arity)])
% pb_return_type = '(' + ', '.join(['Float' for _ in range(arity)]) + ')'
func exampleDiffFunc_${arity}(${params}) -> Float {
fatalError()
}
@derivative(of: exampleDiffFunc_${arity})
func exampleVJP_${arity}(${params}) -> (value: Float, pullback: (Float) -> ${pb_return_type}) {
(
${' + '.join(['x%d * x%d' % (i, i) for i in range(arity)])},
{ (${', '.join(['2 * x%d * $0' % i for i in range(arity)])}) }
)
}
% argValues = [i * 10 for i in range(1, arity + 1)]
% args = ', '.join([str(v) for v in argValues])
% expectedValue = sum([v * v for v in argValues])
% expectedGradientValues = [2 * v for v in argValues]
% expectedGradients = '(' + ', '.join([str(g) for g in expectedGradientValues]) + ')'
DifferentialOperatorTestSuite.test("valueWithPullback_${arity}") {
let (value, pb) = valueWithPullback(at: ${args}, of: exampleDiffFunc_${arity})
expectEqual(${expectedValue}, value)
expectEqual(${expectedGradients}, pb(1))
}
DifferentialOperatorTestSuite.test("pullback_${arity}") {
let pb = pullback(at: ${args}, of: exampleDiffFunc_${arity})
expectEqual(${expectedGradients}, pb(1))
}
DifferentialOperatorTestSuite.test("gradient_${arity}") {
let grad = gradient(at: ${args}, of: exampleDiffFunc_${arity})
expectEqual(${expectedGradients}, grad)
}
DifferentialOperatorTestSuite.test("valueWithGradient_${arity}") {
let (value, grad) = valueWithGradient(at: ${args}, of: exampleDiffFunc_${arity})
expectEqual(${expectedValue}, value)
expectEqual(${expectedGradients}, grad)
}
DifferentialOperatorTestSuite.test("gradient_curried_${arity}") {
let gradF = gradient(of: exampleDiffFunc_${arity})
expectEqual(${expectedGradients}, gradF(${args}))
}
% end
runAllTests()