flash_attn-2.1.0+cu116torch2.0cxx11abiTRUE-cp38-cp38-linux_x86_64.whl 63.4 MB 2023-08-25T10:04:37Z flash_attn-2.1.0+cu116torch2.0cxx11abiTRUE-cp39-cp39-linux_x86_64.whl 63.4 MB 2023-08-25T10:08:52Z flash_att
github-actions v2.7.1.post3 e782d28 Compare v2.7.1.post3 [CI] Change torch #include to make it work with torch 2.1 Philox Assets2 firengate reacted with thumbs up emoji 👍 1 person reacted 07 Dec 01:13 github-actions v2.7.1.post2 ...
这段代码整合自flash attention github下的cutlass实现,为了方便讲解做了一点改写。这段代码告诉我们: 在V1中,我们是按batch_size和num_heads来划分block的,也就是说一共有batch_size * num_heads个block,每个block负责计算O矩阵的一部分 在V2中,我们是按batch_size,num_heads和num_m_block来划分block的,其中num...
目前已经在CUDA-Learn-Notes的kernels/flash-attn中实现了这个Split-Q优化策略。同时也实现了Split-KV策略,最为性能对比。发现,大部分情况下,对比Split-KV,Split-Q有15%以上的性能提升。补个图,“我,一种植物,终于看明白了”: Split-KV vs Split-Q 实现的两个kernel大概长这样,代码见:github.com/xlite-dev/...
pytest -q -s tests/test_flash_attn.py When you encounter issues This alpha release of FlashAttention contains code written for a research project to validate ideas on speeding up attention. We have tested it on several models (BERT, GPT2, ViT). However, there might still be bugs in the...
这段代码整合自flash attention github下的cutlass实现,为了方便讲解做了一点改写。 这段代码告诉我们: 在V1中,我们是按batch_size和num_heads来划分block的,也就是说一共有batch_size * num_heads个block,每个block负责计算O矩阵的一部分 在V2中,我们是按batch_size,num_heads和num_m_block来划分block的,其中...
pytest -q -s tests/test_flash_attn.py When you encounter issues This alpha release of FlashAttention contains code written for a research project to validate ideas on speeding up attention. We have tested it on several models (BERT, GPT2, ViT). However, there might still be bugs in the...
.github/workflows conda-build.yml conda-forge.yml recipe meta.yaml setup.py 46 changes: 0 additions & 46 deletions 46 ...da_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.10.___cpython.yaml Load diff This file was deleted. 46 changes: 0 additions & 46 delet...
It is very likely that the current package version for this feedstock is out of date. Checklist before merging this PR: Dependencies have been updated if changed: see upstream Tests have passed ...
xformers、flash_attn、page_attn、fastchat的概念 肖畅 15 人赞同了该文章 一、xformers 加速transformers的组件框架。普遍反馈:加速2倍,显存消耗为原来的1/3; 调用加速的核心是flash-attention;下面有介绍。但生成图的实践反馈来看,误差较大,效果不稳定。