forked from kscience/kmath
TensorLinearStructure doc
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@ -56,7 +56,12 @@ internal fun stepIndex(index: IntArray, shape: IntArray, nDim: Int): IntArray {
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return res
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return res
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}
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}
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/**
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* This [Strides] implemetation follow the last dimension first convention
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* For more information: https://numpy.org/doc/stable/reference/generated/numpy.ndarray.strides.html
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*
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* @param shape the shape of the tensor.
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*/
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public class TensorLinearStructure(override val shape: IntArray) : Strides
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public class TensorLinearStructure(override val shape: IntArray) : Strides
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{
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{
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override val strides: IntArray
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override val strides: IntArray
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@ -65,6 +70,7 @@ public class TensorLinearStructure(override val shape: IntArray) : Strides
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override fun index(offset: Int): IntArray =
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override fun index(offset: Int): IntArray =
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indexFromOffset(offset, strides, shape.size)
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indexFromOffset(offset, strides, shape.size)
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// TODO: documentation (Alya)
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public fun stepIndex(index: IntArray): IntArray =
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public fun stepIndex(index: IntArray): IntArray =
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stepIndex(index, shape, shape.size)
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stepIndex(index, shape, shape.size)
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