pytorch_dlprim
Boost.Compute
| pytorch_dlprim | Boost.Compute | |
|---|---|---|
| 3 | - | |
| 208 | 1,500 | |
| - | 0.7% | |
| 5.9 | 0.0 | |
| about 1 month ago | 13 days ago | |
| C++ | C++ | |
| MIT License | Boost Software License 1.0 |
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pytorch_dlprim
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Linus Tech Tips: "China doesn't want me to have this GPU [Moore Threads MTT S80]" (Linus Tech Tips Reviews the Moore Threads MTT S80 GPU)
I know PyTorch supports OpenCL nows and you can do training with it as well. See here. Never try it myself.
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[P] OpenCL backend for PyTorch - progress works with mainstream pytorch
I'm working on PyTorch OpenCL backend based on dlprimitives core library. It exists for a while but until now it required building custom pytorch version.
- [P] Progress with OpenCL backend for pytorch
Boost.Compute
We haven't tracked posts mentioning Boost.Compute yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
dlprimitives - Deep Learning Primitives and Mini-Framework for OpenCL
Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
oneDNN - oneAPI Deep Neural Network Library (oneDNN)
moodycamel - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
mace - MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
ArrayFire - ArrayFire: a general purpose GPU library.
FluidX3D - The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
C++React - C++React: A reactive programming library for C++11.
HPX - The C++ Standard Library for Parallelism and Concurrency
Bolt - Bolt is a C++ template library optimized for GPUs. Bolt provides high-performance library implementations for common algorithms such as scan, reduce, transform, and sort.
VexCL - VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System