Merge pull request #8 from KonduitAI/asto_nd4s

[WIP] Indexing improvements in nd4s
master
Alexander Stoyakin 2019-10-09 11:39:51 +03:00 committed by GitHub
commit f515151f5f
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3 changed files with 62 additions and 3 deletions

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@ -44,6 +44,9 @@ class SameDiffWrapper {
def bind(name: String, dataType: DataType, shape: Array[Long]): SDVariable =
sd.`var`(name, dataType, shape: _*)
def bind(data: INDArray): SDVariable =
sd.`var`("", data)
def bind(name: String, dataType: DataType, shape: Array[Int]): SDVariable =
sd.`var`(name, dataType, shape: _*)
@ -51,18 +54,33 @@ class SameDiffWrapper {
sd.placeHolder(name, dataType, shape: _*)
}
case class SDIndexWrapper(end: Long) {
def ::(start: Long): SDIndex =
SDIndex.interval(start, end)
}
object --- extends SDIndex {
val thisIndex: SDIndex = SDIndex.all()
}
class SDVariableWrapper {
var thisVariable: SDVariable = null
var isScalar: Boolean = false
val --- : SDIndex = SDIndex.all()
def this(variable: SDVariable) {
this
thisVariable = variable
}
// Indexing
def apply(index: Long): SDVariable = thisVariable.get(SDIndex.point(index))
def apply(index: SDIndex*): SDVariable = thisVariable.get(index: _*)
// Arithmetic
def add(other: Double): Unit = thisVariable.add(other)
def *(other: SDVariable): SDVariable =

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@ -15,9 +15,9 @@
******************************************************************************/
package org.nd4s.samediff.implicits
import org.nd4j.autodiff.samediff.{ SDVariable, SameDiff }
import org.nd4j.autodiff.samediff.{ SDIndex, SDVariable, SameDiff }
import org.nd4j.linalg.factory.Nd4j
import org.nd4s.samediff.{ SDVariableWrapper, SameDiffWrapper }
import org.nd4s.samediff.{ SDIndexWrapper, SDVariableWrapper, SameDiffWrapper }
object Implicits {
implicit def SameDiffToWrapper(sd: SameDiff): SameDiffWrapper =
@ -43,4 +43,12 @@ object Implicits {
result.isScalar = true
result
}
implicit def RangeToWrapper(start: Long): SDIndexWrapper = {
val result = new SDIndexWrapper(start)
result
}
implicit def LongToPoint(x: Long): SDIndex =
SDIndex.point(x)
}

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@ -20,6 +20,7 @@ import org.nd4j.linalg.api.buffer.DataType
import org.nd4j.linalg.api.ndarray.INDArray
import org.nd4j.linalg.factory.Nd4j
import org.nd4s.Implicits._
import org.nd4s.NDOrdering
import org.nd4s.samediff.implicits.Implicits._
import org.scalatest.{ FlatSpec, Matchers }
@ -205,9 +206,41 @@ class MathTest extends FlatSpec with Matchers {
implicit val sd = SameDiff.create
val arr = Nd4j.linspace(1, 100, 100).reshape('c', 10L, 10L)
val x = sd.`var`(arr)
val x = sd.bind(arr)
val y = new SDVariableWrapper(x)
x.get(SDIndex.point(0)).getArr shouldBe y(0).getArr
}
"SDVariable " should "be indexable in 2d" in {
implicit val sd = SameDiff.create
val arr = Nd4j.linspace(DataType.FLOAT, 1.0, 1.0, 9).reshape(3, 3)
val x = sd.bind(arr)
x(0, ---).eval shouldBe x(SDIndex.point(0), SDIndex.all()).eval
val slice1 = x.get(SDIndex.interval(0, 2), SDIndex.all()).eval
val slice2 = x(0 :: 2, ---).eval
slice1 shouldBe slice2
}
"SDVariable " should "be indexable in 3d" in {
implicit val sd = SameDiff.create
val arr = Nd4j.linspace(DataType.FLOAT, 1.0, 1.0, 18).reshape(3, 3, 2)
val x = sd.bind(arr)
x.get(SDIndex.all(), SDIndex.all(), SDIndex.all()).eval shouldBe x(---, ---, ---).eval
x.get(SDIndex.point(0), SDIndex.all(), SDIndex.all()).eval shouldBe x(0, ---, ---).eval
x.get(SDIndex.point(0), SDIndex.point(0), SDIndex.all()).eval shouldBe x(0, 0, ---).eval
x.get(SDIndex.point(0), SDIndex.point(0), SDIndex.point(0)).eval shouldBe x(0, 0, 0).eval
x.get(SDIndex.interval(0, 2), SDIndex.point(0), SDIndex.point(0)).eval shouldBe x(0 :: 2, 0, 0).eval
x.get(SDIndex.interval(0, 2), SDIndex.interval(0, 1), SDIndex.interval(0, 2)).eval shouldBe x(0 :: 2,
0 :: 1,
0 :: 2).eval
x.get(SDIndex.interval(0, 2), SDIndex.interval(0, 1), SDIndex.all()).eval shouldBe x(0 :: 2, 0 :: 1, ---).eval
}
}