-
-
Notifications
You must be signed in to change notification settings - Fork 611
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
feat: add DistributedUtils (MPI&NCCL working)
- Loading branch information
Showing
7 changed files
with
652 additions
and
124 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file was deleted.
Oops, something went wrong.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,169 @@ | ||
| module FluxMPIExt | ||
|
|
||
| using CUDA | ||
| # using AMGDPU ### TODO | ||
| using Flux: MPIBackend, NCCLBackend, DistributedUtils, | ||
| AbstractDevice, FluxCUDADevice, FluxAMDGPUDevice, cpu, gpu, | ||
| get_device, MPI_CUDA_AWARE, MPI_ROCM_AWARE | ||
| # using LuxDeviceUtils: LuxCUDADevice, LuxAMDGPUDevice | ||
| using MPI: MPI | ||
|
|
||
|
|
||
| function DistributedUtils.__initialize( | ||
| ::Type{MPIBackend}; cuda_devices=nothing, amdgpu_devices=nothing, | ||
| force_cuda::Bool=false, caller::String="", force_amdgpu::Bool=false) # Undocumented internal kwarg | ||
| !MPI.Initialized() && MPI.Init() | ||
| DistributedUtils.MPI_Initialized[] = true | ||
|
|
||
| local_rank = MPI.Comm_rank(MPI.COMM_WORLD) | ||
|
|
||
| if cuda_devices !== missing && CUDA.functional() | ||
| if cuda_devices === nothing | ||
| CUDA.device!((local_rank + 1) % length(CUDA.devices())) | ||
| else | ||
| CUDA.device!(cuda_devices[local_rank + 1]) | ||
| end | ||
| elseif force_cuda | ||
| error(lazy"CUDA devices are not functional and `force_cuda` is set to `true`. This is caused by backend: $(caller).") | ||
| end | ||
|
|
||
| return | ||
| end | ||
|
|
||
| DistributedUtils.__get_distributed_backend(::Type{MPIBackend}) = MPIBackend(MPI.COMM_WORLD) | ||
|
|
||
| DistributedUtils.local_rank(backend::MPIBackend) = MPI.Comm_rank(backend.comm) | ||
|
|
||
| DistributedUtils.total_workers(backend::MPIBackend) = MPI.Comm_size(backend.comm) | ||
|
|
||
| # Broadcast | ||
| # Union with Function is because of Flux.cpu istypeof Function | ||
| # We need CPU in case of non CUDA-aware implementation | ||
| function DistributedUtils.__bcast!( | ||
| backend::MPIBackend, sendrecvbuf, dev::Union{AbstractDevice, Function}; root=0) | ||
| MPI.Bcast!(sendrecvbuf, backend.comm; root) | ||
| return sendrecvbuf | ||
| end | ||
|
|
||
| function DistributedUtils.__bcast!( | ||
| backend::MPIBackend, sendbuf, recvbuf, dev::Union{AbstractDevice, Function}; root=0) | ||
| return DistributedUtils.__bcast!( | ||
| backend, ifelse(DistributedUtils.local_rank(backend) == root, sendbuf, recvbuf), | ||
| dev; root) | ||
| end | ||
|
|
||
| # if MPI implementation is not CUDA-aware | ||
| # we have to move data to CPU first | ||
| for (aware, dType) in ((MPI_CUDA_AWARE, FluxCUDADevice), (MPI_ROCM_AWARE, FluxAMDGPUDevice)) | ||
| if !aware | ||
| @eval begin | ||
| function DistributedUtils.__bcast!( | ||
| backend::MPIBackend, sendrecvbuf, dev::$dType; root=0) | ||
| sendrecvbuf_ = sendrecvbuf |> cpu | ||
| DistributedUtils.__bcast!(backend, sendrecvbuf_, cpu; root) | ||
| sendrecvbuf |> gpu | ||
| return sendrecvbuf | ||
| end | ||
|
|
||
| function DistributedUtils.__bcast!( | ||
| backend::MPIBackend, sendbuf, recvbuf, dev::$dType; root=0) | ||
| sendbuf_ = sendbuf |> cpu | ||
| recvbuf_ = recvbuf |> cpu | ||
| DistributedUtils.__bcast!(backend, sendbuf_, recvbuf_, cpu; root) | ||
| recvbuf |> gpu | ||
| return recvbuf | ||
| end | ||
| end | ||
| end | ||
| end | ||
|
|
||
|
|
||
| # Allreduce | ||
| function DistributedUtils.__allreduce!( | ||
| backend::MPIBackend, sendrecvbuf, op::F, dev::Union{AbstractDevice, Function};) where {F} | ||
| mpiop = ifelse(op === DistributedUtils.avg, +, op) | ||
| MPI.Allreduce!(sendrecvbuf, mpiop, backend.comm) | ||
| if op === DistributedUtils.avg | ||
| sendrecvbuf ./= DistributedUtils.total_workers(backend) | ||
| end | ||
| return sendrecvbuf | ||
| end | ||
|
|
||
| function DistributedUtils.__allreduce!( | ||
| backend::MPIBackend, sendbuf, recvbuf, op::F, dev::Union{AbstractDevice, Function};) where {F} | ||
| mpiop = ifelse(op === DistributedUtils.avg, +, op) | ||
| MPI.Allreduce!(sendbuf, recvbuf, mpiop, backend.comm) | ||
| if op === DistributedUtils.avg | ||
| recvbuf ./= DistributedUtils.total_workers(backend) | ||
| end | ||
| return recvbuf | ||
| end | ||
|
|
||
| for (aware, dType) in ((MPI_CUDA_AWARE, FluxCUDADevice), (MPI_ROCM_AWARE, FluxAMDGPUDevice)) | ||
| if !aware | ||
| @eval begin | ||
| function DistributedUtils.__allreduce!( | ||
| backend::MPIBackend, sendrecvbuf, op::F, dev::$dType) where {F} | ||
| sendrecvbuf_ = sendrecvbuf |> cpu | ||
| DistributedUtils.__allreduce!(backend, sendrecvbuf_, op, cpu) | ||
| sendrecvbuf |> gpu | ||
| return sendrecvbuf | ||
| end | ||
|
|
||
| function DistributedUtils.__allreduce!( | ||
| backend::MPIBackend, sendbuf, recvbuf, op::F, dev::$dType) where {F} | ||
| sendbuf_ = sendbuf |> cpu | ||
| recvbuf_ = recvbuf |> cpu | ||
| DistributedUtils.__allreduce!(backend, sendbuf_, recvbuf_, op, cpu) | ||
| recvbuf |> gpu | ||
| return recvbuf | ||
| end | ||
| end | ||
| end | ||
| end | ||
|
|
||
| # Reduce | ||
| function DistributedUtils.__reduce!(backend::MPIBackend, sendrecvbuf, op::F, | ||
| dev::Union{AbstractDevice, Function}; root::Int) where {F} | ||
| mpiop = ifelse(op === DistributedUtils.avg, +, op) | ||
| MPI.Reduce!(sendrecvbuf, mpiop, backend.comm; root) | ||
| if op === DistributedUtils.avg | ||
| sendrecvbuf ./= DistributedUtils.total_workers(backend) | ||
| end | ||
| return sendrecvbuf | ||
| end | ||
|
|
||
| function DistributedUtils.__reduce!(backend::MPIBackend, sendbuf, recvbuf, op::F, | ||
| dev::Union{AbstractDevice, Function}; root::Int) where {F} | ||
| mpiop = ifelse(op === DistributedUtils.avg, +, op) | ||
| MPI.Reduce!(sendbuf, recvbuf, mpiop, backend.comm; root) | ||
| if op === DistributedUtils.avg | ||
| recvbuf ./= DistributedUtils.total_workers(backend) | ||
| end | ||
| return recvbuf | ||
| end | ||
|
|
||
| for (aware, dType) in ((MPI_CUDA_AWARE, FluxCUDADevice), (MPI_ROCM_AWARE, FluxAMDGPUDevice)) | ||
| if !aware | ||
| @eval begin | ||
| function DistributedUtils.__reduce!(backend::MPIBackend, sendrecvbuf, op::F, | ||
| dev::$dType; root::Int) where {F} | ||
| sendrecvbuf_ = sendrecvbuf |> cpu | ||
| DistributedUtils.__reduce!(backend, sendrecvbuf_, op, cpu; root) | ||
| sendrecvbuf |> gpu | ||
| return sendrecvbuf | ||
| end | ||
|
|
||
| function DistributedUtils.__reduce!(backend::MPIBackend, sendbuf, recvbuf, | ||
| op::F, dev::$dType; root::Int) where {F} | ||
| sendbuf_ = sendbuf |> cpu | ||
| recvbuf_ = recvbuf |> cpu | ||
| DistributedUtils.__reduce!(backend, sendbuf_, recvbuf_, op, cpu; root) | ||
| recvbuf |> gpu | ||
| return recvbuf | ||
| end | ||
| end | ||
| end | ||
| end | ||
|
|
||
| end |
Oops, something went wrong.