swift-developers-japan
archived / swift-tensorflow_archived
np.array([1,2,3]) でいけそうだったけどだめっぽい
https://github.com/taketo1024/SwiftyMath/blob/master/CodeSnippets/885A162B-C94C-4085-A858-99634B46259C.codesnippet
これを ~/Library/Developer/Xcode/UserData/ に入れればすぐ出ます。
2let ary = np.array([1,2,3]) の代わりに let ary = np.array.call(with:[1,2,3]) としなきゃいけないのは、@dynamicCallable がまだ提案中だから未実装だよと明記されていました。 https://github.com/tensorflow/swift/blob/master/docs/PythonInteroperability.md#dynamically-callable-types 
Finally, while TensorFlow is the reason we built this infrastructure, its algorithms are independent of TensorFlow itself: the same compiler transformation can extract any computation that executes asynchronously from the host program while communicating through sends and receives. This is useful and can be applied to anything that represents computation as a graph, including other ML frameworks, other kinds of accelerators (for cryptography, graphics, transcoding, etc), and general distributed systems programming models based on graph abstractions. We are interested in exploring new applications of this algorithm in the future.
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swift-tensorflow-DEVELOPMENT-2018-06-01-aで@dynamicCallableが使える様になったぽい。 @swift-tensorflow
import TensorFlow import Python // NumPy example: let np = Python.import("numpy") // import numpy as np let a = np.arange(15).reshape(3, 5) // a = np.arange(15).reshape(3, 5) let b = np.array([6, 7, 8]) // b = np.array([6, 7, 8]) 4 
1a.dot(b) と a ⊗ b なくなってた
https://github.com/apple/swift/commit/6d1cc673ce6091450ad1f23445839bf82c1bebc5#diff-c0c39336cae41de4fb55e3dfadeed5a5
/// Returns the sigmoid of the specified tensor element-wise. /// Specifically, computes `1 / (1 + exp(-x))`. @inlinable @differentiable(vjp: _vjpSigmoid) public func sigmoid<T: TensorFlowFloatingPoint>(_ x: Tensor<T>) -> Tensor<T> { Raw.sigmoid(x) } @inlinable internal func _vjpSigmoid<T: TensorFlowFloatingPoint>( _ x: Tensor<T> ) -> (Tensor<T>, (Tensor<T>) -> Tensor<T>) { (sigmoid(x), { v in Raw.sigmoidGrad(x, dy: v) }) }
Raw.sigmoidGradがこれなのでyを渡すべきところでxを渡してる？ https://raw.githubusercontent.com/tensorflow/swift-apis/master/Sources/TensorFlow/Bindings/RawOpsGenerated.swift
/// Computes the gradient of the sigmoid of `x` wrt its input. /// /// Specifically, `grad = dy * y * (1 - y)`, where `y = sigmoid(x)`, and /// `dy` is the corresponding input gradient. @inlinable @inline(__always) public static func sigmoidGrad<T: FloatingPoint & TensorFlowScalar>( _ y: Tensor<T>, dy: Tensor<T> ) -> Tensor<T> 
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これからおもしろくなるところなのに。!jupyter-kernelspec list で Swift が表示されなくなってしまったのですが、他の皆さんはいかがでしょうか…。 https://twitter.com/treastrain/status/1374339335407894531 2
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