Skip to content

[AutoDiff] fix tests to pass on tensorflow branch #31264

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Apr 24, 2020
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
Expand Up @@ -2,10 +2,13 @@

import _Differentiation

protocol NumericDifferentiable : Numeric, Differentiable {}
extension Float: NumericDifferentiable {}

func foo<T: Numeric>(_ x: T, _ y: T) -> T { x * y }

@derivative(of: foo)
func foo_vjp<T: Numeric & Differentiable>(_ x: T, _ y: T) -> (
func foo_vjp<T: NumericDifferentiable>(_ x: T, _ y: T) -> (
value: T, pullback: (T.TangentVector) -> (T.TangentVector, T.TangentVector)
) {
(foo(x, y), { _ in (.zero, .zero) })
Expand All @@ -20,12 +23,12 @@ func differentiate_foo_wrt_0(_ x: Float) -> Float {
// CHECK: bb0
// CHECK: [[FOO_ORIG:%.*]] = function_ref @{{.*}}foo{{.*}} : $@convention(thin) <τ_0_0 where τ_0_0 : Numeric> (@in_guaranteed τ_0_0, @in_guaranteed τ_0_0) -> @out τ_0_0
// CHECK: [[FOO_FLOAT:%.*]] = partial_apply [callee_guaranteed] [[FOO_ORIG]]<Float>() : $@convention(thin) <τ_0_0 where τ_0_0 : Numeric> (@in_guaranteed τ_0_0, @in_guaranteed τ_0_0) -> @out τ_0_0
// CHECK: [[FOO_JVP:%.*]] = differentiability_witness_function [jvp] [parameters 0 1] [results 0] <T where T : Numeric, T : Differentiable> @{{.*}}foo{{.*}} : $@convention(thin) <T where T : Numeric> (@in_guaranteed T, @in_guaranteed T) -> @out T
// CHECK: [[FOO_JVP_FLOAT:%.*]] = partial_apply [callee_guaranteed] [[FOO_JVP]]<Float>() : $@convention(thin) <τ_0_0 where τ_0_0 : Numeric, τ_0_0 : Differentiable> (@in_guaranteed τ_0_0, @in_guaranteed τ_0_0) -> (@out τ_0_0, @owned @callee_guaranteed @substituted <τ_0_0, τ_0_1, τ_0_2> (@in_guaranteed τ_0_0, @in_guaranteed τ_0_1) -> @out τ_0_2 for <τ_0_0.TangentVector, τ_0_0.TangentVector, τ_0_0.TangentVector>)
// CHECK: [[FOO_JVP:%.*]] = differentiability_witness_function [jvp] [parameters 0 1] [results 0] <T where T : NumericDifferentiable> @{{.*}}foo{{.*}} : $@convention(thin) <T where T : Numeric> (@in_guaranteed T, @in_guaranteed T) -> @out T
// CHECK: [[FOO_JVP_FLOAT:%.*]] = partial_apply [callee_guaranteed] [[FOO_JVP]]<Float>() : $@convention(thin) <τ_0_0 where τ_0_0 : NumericDifferentiable> (@in_guaranteed τ_0_0, @in_guaranteed τ_0_0) -> (@out τ_0_0, @owned @callee_guaranteed @substituted <τ_0_0, τ_0_1, τ_0_2> (@in_guaranteed τ_0_0, @in_guaranteed τ_0_1) -> @out τ_0_2 for <τ_0_0.TangentVector, τ_0_0.TangentVector, τ_0_0.TangentVector>)
// CHECK: [[FOO_JVP_SUBSET_THUNK_THIN:%.*]] = function_ref @AD__orig_{{.*}}foo{{.*}}_src_0_wrt_0_jvp_subset_parameters_thunk : $@convention(thin) (@in_guaranteed Float, @in_guaranteed Float) -> (@out Float, @owned @callee_guaranteed (@in_guaranteed Float) -> @out Float)
// CHECK: [[FOO_JVP_SUBSET_THUNK:%.*]] = thin_to_thick_function [[FOO_JVP_SUBSET_THUNK_THIN]] : $@convention(thin) (@in_guaranteed Float, @in_guaranteed Float) -> (@out Float, @owned @callee_guaranteed (@in_guaranteed Float) -> @out Float) to $@callee_guaranteed (@in_guaranteed Float, @in_guaranteed Float) -> (@out Float, @owned @callee_guaranteed (@in_guaranteed Float) -> @out Float)
// CHECK: [[FOO_VJP:%.*]] = differentiability_witness_function [vjp] [parameters 0 1] [results 0] <T where T : Numeric, T : Differentiable> @{{.*}}foo{{.*}} : $@convention(thin) <T where T : Numeric> (@in_guaranteed T, @in_guaranteed T) -> @out T
// CHECK: [[FOO_VJP_FLOAT:%.*]] = partial_apply [callee_guaranteed] [[FOO_VJP]]<Float>() : $@convention(thin) <τ_0_0 where τ_0_0 : Numeric, τ_0_0 : Differentiable> (@in_guaranteed τ_0_0, @in_guaranteed τ_0_0) -> (@out τ_0_0, @owned @callee_guaranteed @substituted <τ_0_0, τ_0_1, τ_0_2> (@in_guaranteed τ_0_0) -> (@out τ_0_1, @out τ_0_2) for <τ_0_0.TangentVector, τ_0_0.TangentVector, τ_0_0.TangentVector>)
// CHECK: [[FOO_VJP:%.*]] = differentiability_witness_function [vjp] [parameters 0 1] [results 0] <T where T : NumericDifferentiable> @{{.*}}foo{{.*}} : $@convention(thin) <T where T : Numeric> (@in_guaranteed T, @in_guaranteed T) -> @out T
// CHECK: [[FOO_VJP_FLOAT:%.*]] = partial_apply [callee_guaranteed] [[FOO_VJP]]<Float>() : $@convention(thin) <τ_0_0 where τ_0_0 : NumericDifferentiable> (@in_guaranteed τ_0_0, @in_guaranteed τ_0_0) -> (@out τ_0_0, @owned @callee_guaranteed @substituted <τ_0_0, τ_0_1, τ_0_2> (@in_guaranteed τ_0_0) -> (@out τ_0_1, @out τ_0_2) for <τ_0_0.TangentVector, τ_0_0.TangentVector, τ_0_0.TangentVector>)
// CHECK: [[FOO_VJP_SUBSET_THUNK_THIN:%.*]] = function_ref @AD__orig_{{.*}}foo{{.*}}_src_0_wrt_0_vjp_subset_parameters_thunk : $@convention(thin) (@in_guaranteed Float, @in_guaranteed Float) -> (@out Float, @owned @callee_guaranteed (@in_guaranteed Float) -> @out Float)
// CHECK: [[FOO_VJP_SUBSET_THUNK:%.*]] = thin_to_thick_function [[FOO_VJP_SUBSET_THUNK_THIN]] : $@convention(thin) (@in_guaranteed Float, @in_guaranteed Float) -> (@out Float, @owned @callee_guaranteed (@in_guaranteed Float) -> @out Float) to $@callee_guaranteed (@in_guaranteed Float, @in_guaranteed Float) -> (@out Float, @owned @callee_guaranteed (@in_guaranteed Float) -> @out Float)
// CHECK: [[FOO_DIFF:%.*]] = differentiable_function [parameters 0] [[FOO_FLOAT]] : $@callee_guaranteed (@in_guaranteed Float, @in_guaranteed Float) -> @out Float with_derivative {[[FOO_JVP_SUBSET_THUNK]] : $@callee_guaranteed (@in_guaranteed Float, @in_guaranteed Float) -> (@out Float, @owned @callee_guaranteed (@in_guaranteed Float) -> @out Float), [[FOO_VJP_SUBSET_THUNK]] : $@callee_guaranteed (@in_guaranteed Float, @in_guaranteed Float) -> (@out Float, @owned @callee_guaranteed (@in_guaranteed Float) -> @out Float)}
Expand Down Expand Up @@ -64,7 +67,7 @@ func concreteInoutIndirectCaller(
return inoutIndirectCaller(x, y, z)
}

// CHECK-LABEL: sil shared [transparent] [serialized] [thunk] @AD__$sSdSfSdSfIegnrrr_SdS2fIegnrr_TR_src_0_wrt_0_2_pullback_index_subset_thunk : $@convention(thin) (@in_guaranteed Double, @guaranteed @callee_guaranteed (@in_guaranteed Double) -> (@out Float, @out Double, @out Float)) -> (@out Float, @out Float) {
// CHECK-LABEL: sil shared [transparent] [serialized] [thunk] @AD__{{.*}}src_0_wrt_0_2_pullback_index_subset_thunk : $@convention(thin) (@in_guaranteed Double, @guaranteed @callee_guaranteed (@in_guaranteed Double) -> (@out Float, @out Double, @out Float)) -> (@out Float, @out Float) {
// CHECK: bb0(%0 : $*Float, %1 : $*Float, %2 : $*Double, %3 : $@callee_guaranteed (@in_guaranteed Double) -> (@out Float, @out Double, @out Float)):
// CHECK: %4 = alloc_stack $Double
// CHECK: %5 = apply %3(%0, %4, %1, %2) : $@callee_guaranteed (@in_guaranteed Double) -> (@out Float, @out Double, @out Float)
Expand All @@ -74,7 +77,7 @@ func concreteInoutIndirectCaller(
// CHECK: return %8 : $()
// CHECK: }

// CHECK-LABEL: sil shared [transparent] [serialized] [thunk] @AD__$s13TangentVector16_Differentiation14DifferentiablePQy_AaDQzAaDQy0_Ieglrr_AeFIeglr_AbCRzAbCR_AbCR0_r1_lTR_src_0_wrt_0_1_pullback_index_subset_thunk : $@convention(thin) <τ_0_0, τ_0_1, τ_0_2 where τ_0_0 : Differentiable, τ_0_1 : Differentiable, τ_0_2 : Differentiable> (@inout τ_0_1.TangentVector, @guaranteed @callee_guaranteed (@inout τ_0_1.TangentVector) -> (@out τ_0_0.TangentVector, @out τ_0_2.TangentVector)) -> @out τ_0_0.TangentVector {
// CHECK-LABEL: sil shared [transparent] [serialized] [thunk] @AD__{{.*}}src_0_wrt_0_1_pullback_index_subset_thunk : $@convention(thin) <τ_0_0, τ_0_1, τ_0_2 where τ_0_0 : Differentiable, τ_0_1 : Differentiable, τ_0_2 : Differentiable> (@inout τ_0_1.TangentVector, @guaranteed @callee_guaranteed (@inout τ_0_1.TangentVector) -> (@out τ_0_0.TangentVector, @out τ_0_2.TangentVector)) -> @out τ_0_0.TangentVector {
// CHECK: bb0(%0 : $*τ_0_0.TangentVector, %1 : $*τ_0_1.TangentVector, %2 : $@callee_guaranteed (@inout τ_0_1.TangentVector) -> (@out τ_0_0.TangentVector, @out τ_0_2.TangentVector)):
// CHECK: %3 = alloc_stack $τ_0_2.TangentVector
// CHECK: %4 = apply %2(%0, %3, %1) : $@callee_guaranteed (@inout τ_0_1.TangentVector) -> (@out τ_0_0.TangentVector, @out τ_0_2.TangentVector)
Expand All @@ -84,7 +87,7 @@ func concreteInoutIndirectCaller(
// CHECK: return %7 : $()
// CHECK: }

// CHECK-LABEL: sil shared [transparent] [serialized] [thunk] @AD__$s13TangentVector16_Differentiation14DifferentiablePQy_AaDQzAaDQy0_Ieglrr_AEIegl_AbCRzAbCR_AbCR0_r1_lTR_src_0_wrt_1_pullback_index_subset_thunk : $@convention(thin) <τ_0_0, τ_0_1, τ_0_2 where τ_0_0 : Differentiable, τ_0_1 : Differentiable, τ_0_2 : Differentiable> (@inout τ_0_1.TangentVector, @guaranteed @callee_guaranteed (@inout τ_0_1.TangentVector) -> (@out τ_0_0.TangentVector, @out τ_0_2.TangentVector)) -> () {
// CHECK-LABEL: sil shared [transparent] [serialized] [thunk] @AD__{{.*}}src_0_wrt_1_pullback_index_subset_thunk : $@convention(thin) <τ_0_0, τ_0_1, τ_0_2 where τ_0_0 : Differentiable, τ_0_1 : Differentiable, τ_0_2 : Differentiable> (@inout τ_0_1.TangentVector, @guaranteed @callee_guaranteed (@inout τ_0_1.TangentVector) -> (@out τ_0_0.TangentVector, @out τ_0_2.TangentVector)) -> () {
// CHECK: bb0(%0 : $*τ_0_1.TangentVector, %1 : $@callee_guaranteed (@inout τ_0_1.TangentVector) -> (@out τ_0_0.TangentVector, @out τ_0_2.TangentVector)):
// CHECK: %2 = alloc_stack $τ_0_0.TangentVector
// CHECK: %3 = alloc_stack $τ_0_2.TangentVector
Expand Down
Original file line number Diff line number Diff line change
@@ -1,6 +1,9 @@
// RUN: not --crash %target-swift-frontend -emit-sil -verify %s
// REQUIRES: asserts

// This crash does not occur on the tensorflow branch.
// UNSUPPORTED: tensorflow

// SR-12641: SILGen verification error regarding `ImmutableAddressUseVerifier` and AutoDiff-generated code.

import _Differentiation
Expand Down