[fx2trt] fix elementwise op converter with one operand being a literal and has different type (#65004)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/65004
If we have some code like `torch.add(x, 1)` and x is a float tensor then in conversion things would falling apart because currently we will add a constant layer of int32 dtype for `1` but we actually need float dtype.
This diff adds an arg to `get_trt_tensor` which specify the dtype of the constant layer we would created.
Also, start to add doc string for functions.
Reviewed By: yinghai
Differential Revision: D30852156
fbshipit-source-id: 650ce72d2794093a4616e640ea503dcc1c6b2bc4
