fix sequences + array casting
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1b6bd67b90
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@ -49,6 +49,7 @@ public class DoubleTensor internal constructor(
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internal fun BufferedTensor<Int>.asTensor(): IntTensor =
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IntTensor(this.shape, this.mutableBuffer.array(), this.bufferStart)
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internal fun BufferedTensor<Double>.asTensor(): DoubleTensor =
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DoubleTensor(this.shape, this.mutableBuffer.array(), this.bufferStart)
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@ -78,4 +79,39 @@ internal val TensorStructure<Int>.tensor: IntTensor
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}
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public fun TensorStructure<Double>.toDoubleTensor(): DoubleTensor = this.tensor
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public fun TensorStructure<Int>.toIntTensor(): IntTensor = this.tensor
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public fun TensorStructure<Int>.toIntTensor(): IntTensor = this.tensor
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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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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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public fun DoubleTensor.toDoubleArray(): DoubleArray {
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return tensor.mutableBuffer.array().drop(bufferStart).take(numElements).toDoubleArray()
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}
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public fun IntTensor.toIntArray(): IntArray {
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return tensor.mutableBuffer.array().drop(bufferStart).take(numElements).toIntArray()
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}
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@ -18,7 +18,7 @@ internal fun <T> BufferedTensor<T>.vectorSequence(): Sequence<BufferedTensor<T>>
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val vectorOffset = shape[n - 1]
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val vectorShape = intArrayOf(shape.last())
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for (offset in 0 until numElements step vectorOffset) {
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val vector = BufferedTensor(vectorShape, mutableBuffer, offset)
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val vector = BufferedTensor(vectorShape, mutableBuffer, bufferStart + offset)
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yield(vector)
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}
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}
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@ -29,7 +29,7 @@ internal fun <T> BufferedTensor<T>.matrixSequence(): Sequence<BufferedTensor<T>>
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val matrixOffset = shape[n - 1] * shape[n - 2]
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val matrixShape = intArrayOf(shape[n - 2], shape[n - 1])
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for (offset in 0 until numElements step matrixOffset) {
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val matrix = BufferedTensor(matrixShape, mutableBuffer, offset)
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val matrix = BufferedTensor(matrixShape, mutableBuffer, bufferStart + offset)
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yield(matrix)
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}
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}
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