| Interface | Description |
|---|---|
| Data<V> |
A wrapper type for the raw data array of a tensor/nd-array,
which is typically provided by implementations of the
Device interface. |
| MutateNda<T> |
Nd-arrays should be used as immutable data structures mostly, however sometimes it
is important to mutate their state for performance reasons.
|
| MutateNda.Item<V> |
Instances of this are being returned by the
Nda.at(int...) method,
and they allow you to get or set individual nd-array items |
| MutateTensor<T> |
Tensors should be considered immutable, however sometimes it
is important to mutate their state for performance reasons.
|
| Nda<V> |
Nda, which is an abbreviation of 'N-Dimensional-Array', represents
a multidimensional, homogeneously filled fixed-size array of items. |
| Nda.Item<V> |
Instances of this are being returned by the
Nda.at(int...) method,
and they allow you to get individual nd-array items |
| Shape |
Basically a tuple of integers which is used to describe the shape of an array.
|
| Tensor<V> |
A
Tensor is a mathematical concept and type of multidimensional
data-structure with certain transformation properties. |
| Class | Description |
|---|---|
| Neureka |
Neureka is the key access point for thread local / global library settings ( seeNeureka.Settings)
as well as execution contexts (see BackendContext)
and pre-instantiated Functions. |
| Neureka.Utility |
| Enum | Description |
|---|---|
| Tensor.ImageType |
Use this enum as argument for the
Tensor.asImage(Tensor.ImageType) method to
specify the type of image that should be returned. |