[caffe2] fix no matching function min/max Clang errors (#33563)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33563
When NVCC or Clang are driving CUDA compilation many math functions are declared by default, with a small difference: Clang marks them as `__device__` only, while NVCC uses both `__host__` and `__device__`. This makes every un-elaborated `min` or `max` function call from a `__host__` function generate a syntax error when Clang is used.
Fix the errors by using `std::min` and `std::max` from `<algorithm>`, since C++14 they are `constexpr` and can be used in the `__device__` code [1].
1. https://llvm.org/docs/CompileCudaWithLLVM.html#algorithm
Test Plan:
```lang=bash
buck build mode/opt -c fbcode.cuda_use_clang=true //fblearner/flow/projects/dper:workflow
buck build mode/opt //fblearner/flow/projects/dper:workflow
```
Execute tests on devgpu:
```
buck test mode/dev-nosan -j 8 //caffe2/caffe2/python/operator_test/... //caffe2/test:cuda
```
Reviewed By: ngimel
Differential Revision: D20005795
fbshipit-source-id: 98a3f35e8a96c15d3ad3d2066396591f5cca1696
