forked from kscience/kmath
produce routine
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@ -56,6 +56,17 @@ public open class DoubleTensorAlgebra :
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return DoubleTensor(shape, buffer, 0)
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return DoubleTensor(shape, buffer, 0)
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}
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}
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/**
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* Constructs a tensor with the specified shape and initializer.
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*
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* @param shape the desired shape for the tensor.
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* @param initializer mapping tensor indices to values.
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* @return tensor with the [shape] shape and data generated by initializer.
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*/
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public fun produce(shape: IntArray, initializer: (IntArray) -> Double): DoubleTensor =
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fromArray(shape,
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TensorLinearStructure(shape).indices().map(initializer).toMutableList().toDoubleArray())
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override operator fun Tensor<Double>.get(i: Int): DoubleTensor {
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override operator fun Tensor<Double>.get(i: Int): DoubleTensor {
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val lastShape = tensor.shape.drop(1).toIntArray()
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val lastShape = tensor.shape.drop(1).toIntArray()
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val newShape = if (lastShape.isNotEmpty()) lastShape else intArrayOf(1)
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val newShape = if (lastShape.isNotEmpty()) lastShape else intArrayOf(1)
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