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Add type checking for `@differentiable` function types: - Check that parameters and results conform to `Differentiable`. - Implicitly conform parameters and results whose types are generic parameters to `Differentiable`. - Upstream most of the differentiable_func_type_type_checking.swift test from `tensorflow` branch. A few function conversion tests have not been added because they depend on the `@differentiable` function conversion pipeline. Diagnose gracefully when the `Differentiable` protocol is unavailable because `_Differentiation` has not been imported. Resolves TF-823 and TF-1219.
18 lines
861 B
Swift
18 lines
861 B
Swift
// RUN: %empty-directory(%t)
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// RUN: %target-swift-frontend %s -emit-module -parse-as-library -enable-experimental-differentiable-programming -o %t
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// RUN: llvm-bcanalyzer %t/differentiable_function.swiftmodule | %FileCheck %s -check-prefix=BCANALYZER
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// RUN: %target-sil-opt -disable-sil-linking -enable-sil-verify-all %t/differentiable_function.swiftmodule -enable-experimental-differentiable-programming -o - | %FileCheck %s
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// BCANALYZER-NOT: UnknownCode
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import _Differentiation
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func a(_ f: @differentiable (Float) -> Float) {}
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// CHECK: func a(_ f: @differentiable (Float) -> Float)
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func b(_ f: @differentiable(linear) (Float) -> Float) {}
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// CHECK: func b(_ f: @differentiable(linear) (Float) -> Float)
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func c(_ f: @differentiable (Float, @noDerivative Float) -> Float) {}
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// CHECK: func c(_ f: @differentiable (Float, @noDerivative Float) -> Float)
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