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shear's Issues

not an issue - fyi swift + tensorflow + sklearn + python

fyi - https://github.com/koher/swift-digits

it's not entirely clear the best way to interact with matrices in swift.
I like your helpers that you've created.

I'm wanting to port some python code / and think your matrix helpers are exactly what I need at first glance.

  env_low = env.observation_space.low // Array 
    env_high = env.observation_space.high // Array 
    env_dx = (env_high - env_low) / n_states // divide array of floats by float - return new array
/// Scalar Division
public func /<A: TensorProtocol, X: NumericType>
    (left: A, right: X) -> Tensor<A.Element> where A.Element == X {
        return left.map { $0 / right }
}

/// Left-Scalar Division
public func /<A: TensorProtocol, X: NumericType>
    (left: X, right: A) -> Tensor<A.Element> where A.Element == X {
        return right.map { left / $0 }
}

related
tensorflow/swift#70
https://github.com/mattt/Surge/issues/85

https://www.mathworks.com/help/matlab/ref/ldivide.html

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