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/*!
# Tch-utils - A collection of utilities for the tch-rs crate

> *Note :* This crate is mostly intended for my own to collect some utilities I use in my projects.
> It is not intended to be used by anyone else. However, if you find it useful, feel free to use it. 

## Features
- 2D operations : operations on tensor of shape [N, C, H, W] on each pixel
- Tensor initialization : new way to initialize tensors
- Noises : Generate noise tensors

## Conventions 

### Shapes
- N : The number of samples
- C : The number of channels
- H : The height of the image
- W : The width of the image

- [N, C, H, W] : A tensor of shape [N, C, H, W] is a batch of N images of shape [C, H, W]
                A tensor of multiple sample with one chanel will never be represented as [N, H, W] but as [N, 1, H, W]
- [C, H, W] : A tensor of shape [C, H, W] is an image of shape [C, H, W]
- [H, W] : A tensor of shape [H, W] is an image of shape [1, H, W]

*tensor of 2d vectors*
Tensors of 2d vectors ([N, 2, H, W] & [2, H, W]) are in the form [y, x]

### Axis 

the y axis will always be top to bottom
the x axis will always be left to right

```ignore
0 ----> 1 (x)
|
|
v
1 
(y)
```

### Colors

- Unless specified, the color channels are in the order [R, G, B]
- The color channels are in the dim 1 of [N, C, H, W] tensor 
- Unless specified, the color channels are in the range [0, 1]
- Unless specified, the color channels use and expect Kind::Float
 */

pub mod ops_2d;
pub mod tensor_init;
pub mod noise;
pub mod shapes;
pub mod utils;
pub mod color;
#[cfg(feature = "ndarray")]
pub mod ndarray;
#[cfg(feature = "image")]
pub mod image;
pub mod glcm;
pub mod glrlm;
pub mod tensor_ext;
pub mod gabor;