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add factory methods for Tensor1/2/3 for specified extent #127

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Merged
marcelluethi merged 1 commit into from
Jul 10, 2026
Merged

add factory methods for Tensor1/2/3 for specified extent #127

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10 changes: 9 additions & 1 deletion core/src/main/scala/dimwit/tensor/Tensor.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -292,6 +292,9 @@ object Tensor1:
def apply[L: Label](axis: Axis[L]): DefaultsFactory[L] = DefaultsFactory(axis)
def apply[L: Label, V](axis: Axis[L], vtype: VType[V]): TypedFactory[L, V] = TypedFactory(axis, vtype)

def apply[L: Label](axisExtent: AxisExtent[L]): Tensor.DefaultsFactory[Tuple1[L]] = Tensor.DefaultsFactory(Shape(axisExtent))
def apply[L: Label, V](axisExtent: AxisExtent[L], vtype: VType[V]): Tensor.TypedFactory[Tuple1[L], V] = Tensor.TypedFactory(Shape(axisExtent), vtype)

/* Companion object for Tensors of rank 2 (matrices).
* Provides factory methods for creating tensors of rank 2 with various value types.
*/
Expand Down Expand Up @@ -324,6 +327,9 @@ object Tensor2:
def apply[L1: Label, L2: Label](axis1: Axis[L1], axis2: Axis[L2]): DefaultsFactory[L1, L2] = DefaultsFactory(axis1, axis2)
def apply[L1: Label, L2: Label, V](axis1: Axis[L1], axis2: Axis[L2], vtype: VType[V]): TypedFactory[L1, L2, V] = TypedFactory(axis1, axis2, vtype)

def apply[L1: Label, L2: Label](axisExtent1: AxisExtent[L1], axisExtent2: AxisExtent[L2]): Tensor.DefaultsFactory[Tuple2[L1, L2]] = Tensor.DefaultsFactory(Shape(axisExtent1, axisExtent2))
def apply[L1: Label, L2: Label, V](axisExtent1: AxisExtent[L1], axisExtent2: AxisExtent[L2], vtype: VType[V]): Tensor.TypedFactory[Tuple2[L1, L2], V] = Tensor.TypedFactory(Shape(axisExtent1, axisExtent2), vtype)

private def eyeImpl[L: Label, V](dim: AxisExtent[L], vtype: VType[V]): Tensor2[L, Prime[L], V] = Tensor(Jax.jnp.eye(dim.size, dtype = vtype.dtype.jaxType))
def eye[L: Label](dim: AxisExtent[L]): Tensor2[L, Prime[L], Float32] = eyeImpl(dim, VType[Float32])
def eye[L: Label, V](dim: AxisExtent[L], vtype: VType[V]): Tensor2[L, Prime[L], V] = eyeImpl(dim, vtype)
Expand Down Expand Up @@ -358,5 +364,7 @@ object Tensor3:
def fromArray(values: Array3D[Double])(using IsFloating[V]): Tensor3[L1, L2, L3, V] = Tensor(createShape(values), VType[V]).fromArray(values.flatten.flatten)

def apply[L1: Label, L2: Label, L3: Label](axis1: Axis[L1], axis2: Axis[L2], axis3: Axis[L3]): DefaultsFactory[L1, L2, L3] = DefaultsFactory(axis1, axis2, axis3)

def apply[L1: Label, L2: Label, L3: Label, V](axis1: Axis[L1], axis2: Axis[L2], axis3: Axis[L3], vtype: VType[V]): TypedFactory[L1, L2, L3, V] = TypedFactory(axis1, axis2, axis3, vtype)

def apply[L1: Label, L2: Label, L3: Label](axisExtent1: AxisExtent[L1], axisExtent2: AxisExtent[L2], axisExtent3: AxisExtent[L3]): Tensor.DefaultsFactory[Tuple3[L1, L2, L3]] = Tensor.DefaultsFactory(Shape(axisExtent1, axisExtent2, axisExtent3))
def apply[L1: Label, L2: Label, L3: Label, V](axisExtent1: AxisExtent[L1], axisExtent2: AxisExtent[L2], axisExtent3: AxisExtent[L3], vtype: VType[V]): Tensor.TypedFactory[Tuple3[L1, L2, L3], V] = Tensor.TypedFactory(Shape(axisExtent1, axisExtent2, axisExtent3), vtype)
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