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Add @differentiable support to pow(_:_:) and root(_:_:) #366

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Jul 15, 2019
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Add @differentiable support to pow(_:_:) and root(_:_:) #366

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8 changes: 4 additions & 4 deletions Sources/TensorFlow/Operators/Math.swift
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Original file line number Diff line number Diff line change
Expand Up @@ -1221,28 +1221,28 @@ internal func _vjpPow<T: TensorFlowFloatingPoint>(

/// Returns the power of the scalar to the tensor, broadcasting the scalar.
@inlinable
// @differentiable
@differentiable(wrt: rhs where T: TensorFlowFloatingPoint)
public func pow<T: TensorFlowFloatingPoint>(_ lhs: T, _ rhs: Tensor<T>) -> Tensor<T> {
pow(Tensor(lhs), rhs)
}

/// Returns the power of the tensor to the scalar, broadcasting the scalar.
@inlinable
// @differentiable
@differentiable(wrt: lhs where T: TensorFlowFloatingPoint)
public func pow<T: TensorFlowFloatingPoint>(_ lhs: Tensor<T>, _ rhs: T) -> Tensor<T> {
pow(lhs, Tensor(rhs))
}

/// Returns the power of the tensor to the scalar, broadcasting the scalar.
@inlinable
// @differentiable
@differentiable
public func pow<T: TensorFlowFloatingPoint>(_ x: Tensor<T>, _ n: Int) -> Tensor<T> {
pow(x, Tensor(T(n)))
}

/// Returns the element-wise `n`th root of the tensor.
@inlinable
// @differentiable
@differentiable
public func root<T: TensorFlowFloatingPoint>(_ x: Tensor<T>, _ n: Int) -> Tensor<T> {
sign(x) * pow(abs(x), Tensor(T(1) / T(n)))
}
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