flash-attention VS memory-efficient-attention-pytorch

Compare flash-attention vs memory-efficient-attention-pytorch and see what are their differences.

flash-attention

Fast and memory-efficient exact attention (by Dao-AILab)

memory-efficient-attention-pytorch

Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory" (by lucidrains)
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flash-attention memory-efficient-attention-pytorch
27 2
15,430 227
4.3% -
9.3 6.1
4 days ago almost 2 years ago
Python Python
BSD 3-clause "New" or "Revised" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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flash-attention

Posts with mentions or reviews of flash-attention. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-07-11.

memory-efficient-attention-pytorch

Posts with mentions or reviews of memory-efficient-attention-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-09.

What are some alternatives?

When comparing flash-attention and memory-efficient-attention-pytorch you can also consider the following projects:

xformers - Hackable and optimized Transformers building blocks, supporting a composable construction.

vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch

DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Compact-Transformers - Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)

RWKV-LM - RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

memory-efficient-attention-pyt

XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

routing-transformer - Fully featured implementation of Routing Transformer

alpaca_lora_4bit

x-transformers - A concise but complete full-attention transformer with a set of promising experimental features from various papers

Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
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Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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