Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/65610
- Replace HIP_PLATFORM_HCC with USE_ROCM
- Dont rely on CUDA_VERSION or HIP_VERSION and use USE_ROCM and ROCM_VERSION.
- In the next PR
- Will be removing the mapping from CUDA_VERSION to HIP_VERSION and CUDA to HIP in hipify.
- HIP_PLATFORM_HCC is deprecated, so will add HIP_PLATFORM_AMD to support HIP host code compilation on gcc.
cc jeffdaily sunway513 jithunnair-amd ROCmSupport amathews-amd
Reviewed By: jbschlosser
Differential Revision: D30909053
Pulled By: ezyang
fbshipit-source-id: 224a966ebf1aaec79beccbbd686fdf3d49267e06
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33574
Sprinkle with Clang identification macro places that otherwise would cause build errors when Clang is used to drive the CUDA compilation.
Note: `__clang__` is defined when either Clang is used as host compiler by NVCC or when Clang drives the compilation. `__CUDA__` is defined only for the latter case.
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
```
Reviewed By: BIT-silence
Differential Revision: D20007440
fbshipit-source-id: 53caa70695b99461a3910d41dc71a9f6d0728a75
Summary:
In #16085 , we introduced initial hip-clang bring-up code. Document the use of the __HIP__ macro now.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/16771
Differential Revision: D13961538
Pulled By: ezyang
fbshipit-source-id: 67f6226abcbe62e2f4efc291c84652199c464ca6
Summary:
Initial enabling of the upcoming hip-clang compiler for the PyTorch source base.
Changes:
* update the Eigen submodule to a version including our upstreamed hip-clang enabling there
* modify a few ifdef guards with the `__HIP__` macro used by hip-clang
* use `__lane_id` instead of `hc::__lane_id`
* add Debug flags for ROCm to the cmake infrastructure
Pull Request resolved: https://github.com/pytorch/pytorch/pull/16085
Differential Revision: D13709459
Pulled By: ezyang
fbshipit-source-id: 1b7b33fe810a0434766180580d4443ea177eb7c7
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/16175
Separate Moments from math and optimize it
i-am-not-moving-c2-to-c10
Reviewed By: houseroad
Differential Revision: D13742472
fbshipit-source-id: 90757d908d38c98ca69818855aaf68315e525992
Summary:
Closes https://github.com/pytorch/pytorch/pull/9072
Use FixedDivisor in Reduce and Broadcast CUDA kernels
Reviewed By: houseroad
Differential Revision: D8710243
fbshipit-source-id: 6f1da12234898594a1be8c979d942aa515832aeb
