Struct Tensor
Generic multi-dimensional array template
struct Tensor(T, ulong dim, sizes...)
;
Constructors
| Name | Description |
|---|---|
this
(initVal)
|
Single element constructor |
this
(t)
|
Tensor constructor |
this
(components)
|
Tuple constructor |
Properties
| Name | Type | Description |
|---|---|---|
vecElements[set]
|
string | Symbolic element access for vector |
Methods
| Name | Description |
|---|---|
opAssign
(t)
|
Tensor = Tensor |
opIndex
(index)
|
T = Tensor[index] |
opIndex
(indices)
|
T = Tensor[i, j, ...] |
opIndexAssign
(n, index)
|
Tensor[index] = T |
opIndexAssign
(t, indices)
|
Tensor[i, j, ...] = T |
Templates
| Name | Description |
|---|---|
opDispatch
|
Swizzling |
Description
This template mainly serves as a base for creating various more specialized algebraic objects via encapsulation. Think of Tensor as a backend for e.g. Vector and Matrix.
T - element type, usually numeric (float or double)
dim - number of dimensions (tensor order): 0 - scalar, 1 - vector, 2 - matrix, 3 - 3D array, (higer dimensions are also possible).
sizes - tuple defining sizes for each dimension: 3 - 3-vector, 4,4 - 4x4 matrix, etc.
Data storage type (stack or heap) is statically selected: if given size(s) imply data size larger than MaxStaticTensorSize, data is allocated on heap (as dynamic array). Otherwise, data is allocated on stack (as static array).