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dot fixed for tensorflow

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This commit is contained in:
Roland Grinis 2021-10-28 19:25:10 +01:00
parent 0f5f59e175
commit db06d10cc2
2 changed files with 4 additions and 2 deletions
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4
kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
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@ -180,7 +180,9 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A: Ring<T>> internal cons
} }
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(diagonalEntries: Tensor<T>, offset: Int, dim1: Int, dim2: Int): Tensor<T> = ops.run { override fun diagonalEmbedding(diagonalEntries: Tensor<T>, offset: Int, dim1: Int, dim2: Int): Tensor<T> = ops.run {

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.