OpenCL-Guide
dlprimitives
| OpenCL-Guide | dlprimitives | |
|---|---|---|
| 1 | 7 | |
| 11 | 156 | |
| - | - | |
| 0.0 | 3.8 | |
| over 2 years ago | 6 months ago | |
| C++ | C++ | |
| - | MIT License |
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OpenCL-Guide
dlprimitives
- Dlprimitives: Deep Learning Primitives and Mini-Framework for OpenCL
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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.
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[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)
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[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?
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!
tensorflow-opencl - OpenCL support for TensorFlow
opencl-intercept-layer - Intercept Layer for Debugging and Analyzing OpenCL Applications
plaidml - PlaidML is a framework for making deep learning work everywhere.
ArrayFire - ArrayFire: a general purpose GPU library.
compute-runtime - Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver
pytorch-coriander - OpenCL build of pytorch - (in-progress, not useable)
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!