NFC: fix warnings related to VectorProtocol.VectorSpaceScalar.
#1178
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`VectorProtocol.VectorSpaceScalar` was changed from an associated type to a hardcoded typealias for `Float`. Fix warnings related to this change.
| Model.TangentVector: VectorProtocol & PointwiseMultiplicative | ||
| & ElementaryFunctions & KeyPathIterable, | ||
| Model.TangentVector.VectorSpaceScalar == Float | ||
| & ElementaryFunctions & KeyPathIterable |
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Nifty Vim search-and-replace command: :%s/,\_s*Model.TangentVector.VectorSpaceScalar == Float//g.
Apparently the \_s pattern matches a whitespace, tab, or newline character (source).
| /// Dense<Float>(inputSize: 128, outputSize: imageHeight * imageWidth, activation: tanh) | ||
| /// } | ||
| /// ```` | ||
| public struct Sequential<Layer1: Module, Layer2: Layer>: Module |
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Kokoro CI fails (for TENSORFLOW_USE_STANDARD_TOOLCHAIN=NO):
/swift-apis/Sources/TensorFlow/Layers/Sequential.swift:68:1: error: type 'Sequential<Layer1, Layer2>.TangentVector' does not conform to protocol 'VectorProtocol'
}
^
Swift.VectorProtocol:2:20: note: protocol requires nested type 'VectorSpaceScalar'; do you want to add it?
associatedtype VectorSpaceScalar : AdditiveArithmetic
^
It may be possible to fix this by adding an explicit typealias VectorSpaceScalar = Float definition for Sequential.TangentVector.
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I tried doing this in 34fca6a but it didn't work, so I'm not sure what to try next.
Does anyone else have ideas? @BradLarson @compnerd
One option is to bite the bullet and drop support for the old baked-in-TensorFlow toolchains (which is what's causing the failure). I think that's a good option if we and the community are all on-board with it. That also allows us to drop custom internal support for CI and building OSS toolchains - we can just use GitHub Actions, which is much simpler.
Fix type-checking error stating that `Sequential.TangentVector` does not satisfy `VectorProtocol.VectorSpaceScalar` requirement.
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VectorProtocol.VectorSpaceScalarwas changed from an associated type to a hardcoded typealias forFloat.(I believe this simplification (removing
VectorSpaceScalaras a customization point) made it easier to enable buildingtensorflow/swift-apiswith standard toolchains.)Fix warnings related to this change.
Example warnings: