comparing python list with `mx.array`

[amirhossein-razlighi]

Right now, comparing an mx.array instance with a python list, encounters error. There's a need for fixing this to pursue the common convention of numpy and PyTorch, so converting from list to mx.array is done implicitly (and is not needed to be done explicitly each time).
If this is a valid requirement, please let me know. I'd be happy to help fix this and make a contribution.
Thanks!

[awni]

In general NumPy let's you use lists in many places which implicitly convert to np.ndarray.

>>> np.array([1, 2]) == [1,3]
array([ True, False])

In Torch that's more like an object comparison:

>>> torch.tensor([1, 2]) == [1,3]
False

And in MLX it just throws. I don't think we are going to implicitly convert from list to mx.array in our ops. Given that, the torch version probably makes the most sense: __eq__ should not crash if it receives a nonmx.array it should just return False.

[amirhossein-razlighi]

Sure. I will work on that.