pykeen
TransformerEngine
| pykeen | TransformerEngine | |
|---|---|---|
| 1 | 2 | |
| 1,562 | 1,543 | |
| 2.7% | 7.5% | |
| 7.2 | 9.6 | |
| 17 days ago | 5 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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pykeen
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Quaternion Knowledge Graph Embeddings
QuatE is implemented in PyKEEN, a library for KnowEdge graph EmbeddiNgs, https://github.com/pykeen/pykeen
TransformerEngine
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Benchmarking Large Language Models on NVIDIA H100 GPUs with CoreWeave (Part 1)
4090 now has its 8-bit float enabled as well, see the [transformer engine issue](https://github.com/NVIDIA/TransformerEngine/issues/15)
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GPUs for Deep Learning in 2023 – An In-depth Analysis
Would be curious to see your benchmarks. Btw, Nvidia will be providing support for fp8 in a future release of CUDA - https://github.com/NVIDIA/TransformerEngine/issues/15
I think TMA may not matter as much for consumer cards given the disproportionate amount of fp32 / int32 compute that they have.
Would be interesting to see how close to theoretical folks are able to get once CUDA support comes through.
What are some alternatives?
Whisper - High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
autocvd - Tool to automatically set CUDA_VISIBLE_DEVICES based on GPU utilization. Usable from command line and code.
warp-drive - Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
ivy - The Unified AI Framework
nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.
fastaudio - 🔊 Audio and fastai v2
liberate-fhe - A Fully Homomorphic Encryption (FHE) library for bridging the gap between theory and practice with a focus on performance and accuracy.
FastFold - Optimizing AlphaFold Training and Inference on GPU Clusters
PyTorch-Guide - PyTorch Guide
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration