bench.py, bench_causal.py - Benchmarking code for both general and causal versions of FlashAttention. check_backward.py, check_backward_causal.py - This script verifies two things - 1. whether the calculated va
If you have ideas on how to set up prebuilt CUDA wheels for Windows, please reach out via Github issue. We recommend the Pytorch container from Nvidia, which has all the required tools to install FlashAttention. To install: Make sure that PyTorch is installed. Make sure that packaging is ...
Current best guess:Fix IMAs in Flash-Attention splitkv kernel#131277 cc@ezyang@gchanan@zou3519@kadeng@msaroufim ContributorAuthor drisspgcommentedJul 20, 2024 malfetaddedhigh prioritymodule: multi-headed-attentionlabelsJul 20, 2024 pytorch-botbotadded thetriage reviewlabelJul 20, 2024 ...
We also have an experimental implementation in Triton that support attention bias (e.g. ALiBi): https://github.com/HazyResearch/flash-attention/blob/main/flash_attn/flash_attn_triton.py Installation and features Requirements: CUDA 11.4 and above. PyTorch 1.12 and above. We recommend the Pytorch...
Interface: src/flash_attention_interface.py NVIDIA CUDA Support Requirements: CUDA 12.0 and above. We recommend the Pytorch container from Nvidia, which has all the required tools to install FlashAttention. FlashAttention-2 with CUDA currently supports: Ampere, Ada, or Hopper GPUs (e.g., A100,...
Interface: src/flash_attention_interface.py NVIDIA CUDA Support Requirements: CUDA 11.7 and above. We recommend the Pytorch container from Nvidia, which has all the required tools to install FlashAttention. FlashAttention-2 with CUDA currently supports: Ampere, Ada, or Hopper GPUs (e.g., A100,...
Implementation of Flash-Attention (both forward and backward) with PyTorch, CUDA, and Triton - liangyuwang/Flash-Attention-Implementation
If you encounter bugs, please open a GitHub Issue! AMD GPU/ROCm Support ROCm version use composable_kernel as backend. It provides the implementation of FlashAttention-2. Installation and features Requirements: ROCm 6.0+ PyTorch 1.12.1+ We recommend the Pytorch container from ROCm, which has all...
Interface: src/flash_attention_interface.py NVIDIA CUDA Support Requirements: CUDA 11.7 and above. We recommend the Pytorch container from Nvidia, which has all the required tools to install FlashAttention. FlashAttention-2 with CUDA currently supports: Ampere, Ada, or Hopper GPUs (e.g., A100,...
Interface: src/flash_attention_interface.py NVIDIA CUDA Support Requirements: CUDA 11.7 and above. We recommend the Pytorch container from Nvidia, which has all the required tools to install FlashAttention. FlashAttention-2 with CUDA currently supports: Ampere, Ada, or Hopper GPUs (e.g., A100,...