kscience/kmath
9
0
Fork 1
Code Issues Pull Requests 6 Packages Projects Releases 16 Wiki Activity

KMP library for tensors #300

Merged
grinisrit merged 215 commits from feature/tensor-algebra into dev 2021-05-08 09:48:04 +03:00
Conversation 1 Commits 215 Files Changed 40 +5 -3
1 changed files with 5 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files
Showing only changes of commit 078686a046 - Show all commits

8
kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
View File

@ -34,7 +34,8 @@ public open class BufferedTensor<T>(
public fun vectorSequence(): Sequence<MutableStructure1D<T>> = sequence { public fun vectorSequence(): Sequence<MutableStructure1D<T>> = sequence {
check(shape.size >= 1) {"todo"} check(shape.size >= 1) {"todo"}
val vectorOffset = linearStructure.strides[0] val n = shape.size
val vectorOffset = shape[n - 1]
val vectorShape = intArrayOf(shape.last()) val vectorShape = intArrayOf(shape.last())
for (offset in 0 until numel step vectorOffset) { for (offset in 0 until numel step vectorOffset) {
val vector = BufferedTensor<T>(vectorShape, buffer, offset).as1D() val vector = BufferedTensor<T>(vectorShape, buffer, offset).as1D()
@ -44,8 +45,9 @@ public open class BufferedTensor<T>(
public fun matrixSequence(): Sequence<MutableStructure2D<T>> = sequence { public fun matrixSequence(): Sequence<MutableStructure2D<T>> = sequence {
check(shape.size >= 2) {"todo"} check(shape.size >= 2) {"todo"}
val matrixOffset = linearStructure.strides[1] val n = shape.size
val matrixShape = intArrayOf(shape[shape.size - 2], shape.last()) //todo better way? val matrixOffset = shape[n - 1] * shape[n - 2]
val matrixShape = intArrayOf(shape[n - 2], shape[n - 1]) //todo better way?
for (offset in 0 until numel step matrixOffset) { for (offset in 0 until numel step matrixOffset) {
val matrix = BufferedTensor<T>(matrixShape, buffer, offset).as2D() val matrix = BufferedTensor<T>(matrixShape, buffer, offset).as2D()
yield(matrix) yield(matrix)