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Commits on Oct 31, 2018

• Adopt AdditiveArithmetic protocol

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Commits on Oct 9, 2018

• Bring back covectors (#19803)

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Commits on Oct 1, 2018

• [AutoDiff] Support general differentiable manifolds and move tangent space definition to AST (#19626)

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Commits on Sep 3, 2018

• Remove constraints that require Tangent and Cotangent's ScalarElement to equal Self.ScalarElement (#19113)

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• [AutoDiff] Generalize differentiable types using DifferentiableVectorNumeric protocol (#19112)

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Commits on Jun 21, 2018

• Use updated @inlinable and @usableFromInline attributes.

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Commits on May 16, 2018

• Progress on AD infrastructure.

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Commits on Apr 26, 2018

• Add Differentiable.makeAdjoint(_:) back to stdlib.

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Commits on Apr 23, 2018

• Migrate AD tape functions from stdlib funtions to builtins. This ensures that tape operations will always be in SSA and be easily differentiable.

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Commits on Apr 21, 2018

• Make AD runtime functions inlinable. Fixing AD test failure.

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  rxwei

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• Fix _swift_autodiff_CreateTape's linkage and load all AD runtime functions in ADContext.

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Commits on Apr 20, 2018

• Changes to AutoDiff stdlib API.

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Commits on Apr 3, 2018

• Lift GradientExpr from a #-expression to a stdlib function.

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Commits on Mar 18, 2018

• Move AD runtime from TensorFlow to core stdlib. Rename Differentiable.+ to Differentiable.combiningAsAdjoint.

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Commits on Mar 14, 2018

• Fixes for issues encountered when we rebased on top of ae2cdfc

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Commits on Mar 8, 2018

• Start high-level neural network API.

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Commits on Mar 6, 2018

• Rename Differentiable initializer init(_:isomorphicTo:) to init(numericallyBroadcasting:to:).

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• Rename DifferentiationArgument to Differentiable.

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Commits on Mar 5, 2018

• Remodel DifferentiationArgument. With associated type DifferentiationCurrency and init(_:isomorphicTo:), the model allows for any seed or adjoint values to be created based on an existing value a…

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• Implement adjoints for basic stdlib operators. Also reformat AutoDiff.swift.

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• Add DifferentiationArgument to the Swift stdlib.

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