fixes
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@ -9,17 +9,17 @@ import space.kscience.kmath.tensors.api.Tensor
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import space.kscience.kmath.tensors.core.internal.tensor
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import space.kscience.kmath.tensors.core.internal.tensor
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/**
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/**
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* Casts [Tensor<Double>] to [DoubleTensor]
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* Casts [Tensor] iof [Double] to [DoubleTensor]
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*/
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*/
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public fun Tensor<Double>.toDoubleTensor(): DoubleTensor = this.tensor
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public fun Tensor<Double>.toDoubleTensor(): DoubleTensor = this.tensor
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/**
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/**
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* Casts [Tensor<Int>] to [IntTensor]
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* Casts [Tensor] iof [Int] to [IntTensor]
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*/
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*/
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public fun Tensor<Int>.toIntTensor(): IntTensor = this.tensor
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public fun Tensor<Int>.toIntTensor(): IntTensor = this.tensor
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/**
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/**
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* @return [DoubleArray] of tensor elements
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* Returns [DoubleArray] of tensor elements
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*/
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*/
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public fun DoubleTensor.toDoubleArray(): DoubleArray {
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public fun DoubleTensor.toDoubleArray(): DoubleArray {
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return DoubleArray(numElements) { i ->
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return DoubleArray(numElements) { i ->
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@ -28,42 +28,10 @@ public fun DoubleTensor.toDoubleArray(): DoubleArray {
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}
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}
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/**
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/**
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* @return [IntArray] of tensor elements
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* Returns [IntArray] of tensor elements
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*/
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*/
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public fun IntTensor.toIntArray(): IntArray {
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public fun IntTensor.toIntArray(): IntArray {
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return IntArray(numElements) { i ->
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return IntArray(numElements) { i ->
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mutableBuffer[bufferStart + i]
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mutableBuffer[bufferStart + i]
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}
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}
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}
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}
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/**
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* Casts [Array<DoubleArray>] to [DoubleTensor]
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*/
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public fun Array<DoubleArray>.toDoubleTensor(): DoubleTensor {
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val n = size
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check(n > 0) { "An empty array cannot be casted to tensor" }
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val m = first().size
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check(m > 0) { "Inner arrays must have at least 1 argument" }
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check(all { size == m }) { "Inner arrays must be the same size" }
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val shape = intArrayOf(n, m)
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val buffer = this.flatMap { arr -> arr.map { it } }.toDoubleArray()
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return DoubleTensor(shape, buffer, 0)
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}
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/**
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* Casts [Array<IntArray>] to [IntTensor]
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*/
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public fun Array<IntArray>.toIntTensor(): IntTensor {
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val n = size
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check(n > 0) { "An empty array cannot be casted to tensor" }
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val m = first().size
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check(m > 0) { "Inner arrays must have at least 1 argument" }
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check(all { size == m }) { "Inner arrays must be the same size" }
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val shape = intArrayOf(n, m)
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val buffer = this.flatMap { arr -> arr.map { it } }.toIntArray()
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return IntTensor(shape, buffer, 0)
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}
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