0D/1D support for matmul

[bbradelTT]

From @ayerofieiev-tt

There is probably also a bug for 1D tensors in ops like Sum
If user specifies a dimension over which to make a reduction and an input tensor is 1D...
0 dim will actually mean 1 dim

Will need to look into this once 0D/1D tiled tensor support is fully in.

This is true for matmul.

E.g. checking for batched dimensions.