Rust Tensor Compute

This is a personal project to teach myself WebGPU computing, focused
on Machine Learning application.

Features for now:

• [X] Select which GPU to use (if more than 1 in system)
• [X] Clone
• [X] (Batch) Matmul
• [X] Relu
• [X] Transpose
• [X] Fill
• [X] Compare
• [X] Make Contiguous
• [-] Slice (Needs more design/work)
• [-] Index (Needs more design/work)
• [X] Create Views Tensor

In progress:

Element Wise Tensor - Tensor Ops:

• [ ] Add
• [ ] Sub
• [ ] Mul

Scalar - Tensor Ops:

• [ ] Add
• [ ] Sub
• [ ] Mul

Working Example:

```Rust
fn main() { println!("Running in {:?}", GpuStore::getdefault().info()); let ma = Tensor::fromdataandshape(vec![1., 2., 3., 4., 5., 6., 7., 8.], vec![2, 2, 2]); let mb = Tensor::fromdataandshape(vec![2., 3., 4., 5.], vec![2, 2]); let result = ma.matmul(&mb); println!("{:?}", result); /* Running in AdapterInfo { name: "AMD Radeon Pro 560", vendor: 0, device: 0, devicetype: DiscreteGpu, backend: Metal } Shape: [2, 2, 2] [[[ 10 13 ] [ 22 29 ]]

 [[ 34  45 ]
  [ 46  61 ]]]
*/

} ```

Short-term goals

• How should indexing and assignment work?
• Finish public API docs
• More Tests