Torch-frft

Feat

- **layer**: add non-trainable option

Fix

- allow `float` order for `frft()`
- **layer**: add `__repr__` for frft layers
- gradient error of `frft()` for integer orders
- `gpu` utilization

Feat

- update sample training notebook
- **layer**: add discrete transform version
- add inverse wrappers for transforms
- **ndim**: add `n`-dimensional `dfrft`
- implement `dfrft` matrix
- **dfrft**: implement `dis_s()` helper function
- **discrete**: implement `P` construction
- initialize `dfrft` implementation

Fix

- allow `Tensor` type for `dfrft` order
- **dfrft**: `ndim` implementation
- **layer**: add dimension to `FrFT`

Refactor

- filenames due to function names
- **dfrft**: update naming convention
- rename `fracF` to `frft`
- change `trainable-frft` to `torch-frft`

Feat

- **ndim**: increase `ndim` compatibility
- **ndim**: start converting `fracF()` to supply `dim` selection
- implement `.mul()` with `nth` dimension
- initialize trainable module
- convert `bizdec()` & `bizinter()` to `ndim`

Fix

- dimension check in `einstr` generation
- **ndim**: `corefrmod2()` for n-dimension
- with `ndim` update `fracF()` diff'able
- 1D tensor from `(N,1)` to `(N,)`
- remove `jax` based `dfrt` implementation

Feat

- update `fracF()` for integer values
- **torch**: initialize `fracF` implementation
- **dfrt**: start importing functions for `dfrt`

Fix

- incorrect calculation of `corefrmod2()` (2)

Feat

- **init**: trainable `frft` implementation

Fix

- **commitizen**: project name and version