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

v0.3.0-dev-18 #459

Merged
altavir merged 64 commits from dev into master 2022-02-13 17:50:34 +03:00
Conversation 0 Commits 64 Files Changed 409 +4 -2
2 changed files with 4 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files
Showing only changes of commit 4e16cf1c98 - Show all commits

4
kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
View File

@ -186,7 +186,9 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A : Ring<T>> internal con
} }
override fun StructureND<T>.dot(other: StructureND<T>): TensorFlowOutput<T, TT> = biOp(other) { l, r -> override fun StructureND<T>.dot(other: StructureND<T>): TensorFlowOutput<T, TT> = biOp(other) { l, r ->
ops.linalg.matMul(l, r) ops.linalg.matMul(
if (l.asTensor().shape().numDimensions() == 1) ops.expandDims(l,ops.constant(0)) else l,
if (r.asTensor().shape().numDimensions() == 1) ops.expandDims(r,ops.constant(-1)) else r)
} }
override fun diagonalEmbedding( override fun diagonalEmbedding(

2
kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
View File

@ -208,7 +208,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
* *
* 3. If the first argument is 1-dimensional and the second argument is 2-dimensional, * 3. If the first argument is 1-dimensional and the second argument is 2-dimensional,
* a 1 is prepended to its dimension for the purpose of the matrix multiply. * a 1 is prepended to its dimension for the purpose of the matrix multiply.
* After the matrix multiply, the prepended dimension is removed. * After the matrix multiply, depending on the implementation the prepended dimension might be removed.
* *
* 4. If the first argument is 2-dimensional and the second argument is 1-dimensional, * 4. If the first argument is 2-dimensional and the second argument is 1-dimensional,
* the matrix-vector product is returned. * the matrix-vector product is returned.