…77974)

Summary:
Original pull request: pytorch#173330
Fixes pytorch#168737.
Fixes pytorch#168736.

The original diff enabled expandable segments for ROCm by adding `#ifdef USE_ROCM`
guards throughout CUDACachingAllocator.cpp to use HIP APIs (hipMemAddressReserve,
hipMemCreate, hipMemMap, etc.) instead of CUDA driver APIs when building for ROCm.

Root cause: In HIP/ROCm 6.2.1, the field name for memory allocation properties is
`requestedHandleType` (singular), not `requestedHandleTypes` (plural) as in CUDA.
Additionally, `hipMemHandleTypeFabric` does not exist in HIP, so the
`CU_MEM_HANDLE_TYPE_FABRIC` assignment must be skipped on ROCm.

Fix applied on top of the original diff (from D96652342):
- Use `prop.requestedHandleType = hipMemHandleTypePosixFileDescriptor` under
  `#ifdef USE_ROCM` (singular field name, HIP constant)
- Use `prop.requestedHandleTypes = CU_MEM_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR` for
  CUDA (plural field name, CUDA constant)
- Skip the `CU_MEM_HANDLE_TYPE_FABRIC` assignment entirely on ROCm under
  `#ifndef USE_ROCM`, as `hipMemHandleTypeFabric` does not exist in HIP

Co-authored-by: Prachi Gupta prachi.gupta@amd.com
Co-authored-by: Jeff Daily jeff.daily@amd.com
Co-authored-by: moonshadow-25 moonshadow-25@users.noreply.github.com
Co-authored-by: Vighanesh Sharma vighaneshsharma@gmail.com

Test Plan:
```
fbpkg build //aps_models/ads/ecosystem/eval/cogwheel_tests/amd:cogwheel_aps_ads_icvr_kd_eval_amd_test_harness --build-remote
```

https://www.internalfb.com/sandcastle/workflow/1049338713192153464

Differential Revision: D97211385

Pull Request resolved: pytorch#177974
Approved by: https://github.com/jeffdaily, https://github.com/echen4096

(cherry picked from commit 5792701)