tensorflow-opencl
OpenCL support for TensorFlow (by benoitsteiner)
dlprimitives
Deep Learning Primitives and Mini-Framework for OpenCL (by artyom-beilis)
| tensorflow-opencl | dlprimitives | |
|---|---|---|
| 1 | 7 | |
| 468 | 156 | |
| - | - | |
| 0.0 | 3.8 | |
| over 6 years ago | 6 months ago | |
| C++ | C++ | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tensorflow-opencl
Posts with mentions or reviews of tensorflow-opencl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-19.
dlprimitives
Posts with mentions or reviews of dlprimitives.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-31.
- Dlprimitives: Deep Learning Primitives and Mini-Framework for OpenCL
-
[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] DLPrimitives - wondering about best development direction
BTW Performance numbers: https://github.com/artyom-beilis/dlprimitives/blob/master/docs/benchmarks/benchmarks-gtx1080.md (I just added below TF2 that is missing in docs)
-
[P] DLPrimitives - an OpenCL miro-framework and inference library
Full benchmarks can be found there: https://github.com/artyom-beilis/dlprimitives/blob/master/docs/summary.md
- [P] OpenCL Deep Learning Primitives Library
What are some alternatives?
When comparing tensorflow-opencl and dlprimitives you can also consider the following projects:
plaidml - PlaidML is a framework for making deep learning work everywhere.
pytorch-coriander - OpenCL build of pytorch - (in-progress, not useable)
AdaptiveCpp - Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!
oneDNN - oneAPI Deep Neural Network Library (oneDNN)
pytorch_dlprim - DLPrimitives/OpenCL out of tree backend for pytorch
ParallelReductionsBenchmark - Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!
OpenCL-Guide - OpenCL Guide