Haiping
@simonbuehler Try to use the built-in functions of tensorflow. https://www.tensorflow.org/api_docs/python/tf/tile
@simonbuehler You can create tensor directly from Tensor -> NDArray and vice verse.
Yes, many people need it. It helps. But that will make NumSharp introduce extra dependency. Or we just add file.read to bytes interface ?
Is it possible to integrate OpenCvSharp into NumSharp.ImageSharp?
Check `indexing` to help.  We can override in `Slice`  Or we can pass string `":1"`.
Seem's like another contributor already implemented the string index. I'll found out later. @PppBr is that true?
Not yet, we havn't have the `view` class. I've an idea how to implement the new `view`. `view` inherit from `ndarray`, but keep a `filter` of data index. and `view`...
Actually, we have the formula to convert n-d index to 1d index and wise-verse. chech the function `Shape.GetDimIndexOutShape` So don't worry about the dimension. the storage is persistent data in...
I will write the first version of view, then we can discuss further.