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fixes

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This commit is contained in:
Andrei Kislitsyn 2021-05-07 23:05:37 +03:00
parent 75ef241be3
commit dde1db7b0a
1 changed files with 4 additions and 36 deletions
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40
kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorCasts.kt
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@ -9,17 +9,17 @@ import space.kscience.kmath.tensors.api.Tensor
import space.kscience.kmath.tensors.core.internal.tensor
/**
* Casts [Tensor<Double>] to [DoubleTensor]
* Casts [Tensor] iof [Double] to [DoubleTensor]
*/
public fun Tensor<Double>.toDoubleTensor(): DoubleTensor = this.tensor
/**
* Casts [Tensor<Int>] to [IntTensor]
* Casts [Tensor] iof [Int] to [IntTensor]
*/
public fun Tensor<Int>.toIntTensor(): IntTensor = this.tensor
/**
* @return [DoubleArray] of tensor elements
* Returns [DoubleArray] of tensor elements
*/
public fun DoubleTensor.toDoubleArray(): DoubleArray {
return DoubleArray(numElements) { i ->
@ -28,42 +28,10 @@ public fun DoubleTensor.toDoubleArray(): DoubleArray {
}
/**
* @return [IntArray] of tensor elements
* Returns [IntArray] of tensor elements
*/
public fun IntTensor.toIntArray(): IntArray {
return IntArray(numElements) { i ->
mutableBuffer[bufferStart + i]
}
}
/**
* Casts [Array<DoubleArray>] to [DoubleTensor]
*/
public fun Array<DoubleArray>.toDoubleTensor(): DoubleTensor {
val n = size
check(n > 0) { "An empty array cannot be casted to tensor" }
val m = first().size
check(m > 0) { "Inner arrays must have at least 1 argument" }
check(all { size == m }) { "Inner arrays must be the same size" }
val shape = intArrayOf(n, m)
val buffer = this.flatMap { arr -> arr.map { it } }.toDoubleArray()
return DoubleTensor(shape, buffer, 0)
}
/**
* Casts [Array<IntArray>] to [IntTensor]
*/
public fun Array<IntArray>.toIntTensor(): IntTensor {
val n = size
check(n > 0) { "An empty array cannot be casted to tensor" }
val m = first().size
check(m > 0) { "Inner arrays must have at least 1 argument" }
check(all { size == m }) { "Inner arrays must be the same size" }
val shape = intArrayOf(n, m)
val buffer = this.flatMap { arr -> arr.map { it } }.toIntArray()
return IntTensor(shape, buffer, 0)
}