Allow per-channel QTensor accept any floating type for scales (#26676)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/26676
Just makes it more user-friendly to be able to pass any floating point or int point values to scales or zero_points for per-channel quantization. It matches behavior or per tensor quantizer where those arguments are scalars (not tensors) and thus automatic casting is applied.
Test Plan: Imported from OSS
Differential Revision: D17537051
Pulled By: dzhulgakov
fbshipit-source-id: e955ccdb5b4691828a559dc8f1ed7de54b6d12c4
