Fix F::interpolate and torch::nn::Upsample implementation (#35025)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/35025
This PR fixes `F::interpolate` and `torch::nn::Upsample` implementation to match the Python API implementation.
**This PR is BC-breaking in the following way:**
There are changes to `UpsampleOptions` and `InterpolateFuncOptions`:
- `size` is changed from `std::vector<int64_t>` to `c10::optional<std::vector<int64_t>>`. If you want to pass a list of `int64_t` to this argument, you must pass it as `std::vector<int64_t>`.
- `scale_factor` is changed from `std::vector<double>` to `c10::optional<std::vector<double>>`. If you want to pass a list of `double` to this argument, you must pass it as `std::vector<double>`.
**TODO**: cherry-pick this PR into v1.5 release branch.
Test Plan: Imported from OSS
Differential Revision: D20559892
Pulled By: yf225
fbshipit-source-id: ac18609e351a9f2931eaeced8966b9491b2995f7
