It is very likely that the current package version for this feedstock is out of date.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 ...
A conda-smithy repository for flash-attn. Contribute to conda-forge/flash-attn-feedstock development by creating an account on GitHub.
你好,有个flash-atten的问题想请教下,当我想使能flash-attn时,我发现以下图1的逻辑根本走不进去,为此我打印了self.using_flash、attn_bias、qkv.dtype,最后发现attn_bias一直不是None(图2) 图1: 图2: 于是我将代码修改成以下逻辑: using_flash = self.using_flash and attn_bias is None and qkv.dtype ...
Home:https://github.com/Dao-AILab/flash-attention Package license: BSD-3-Clause Summary: Flash Attention: Fast and Memory-Efficient Exact Attention Current build status Current release info NameDownloadsVersionPlatforms Installing flash-attn
It is very likely that the current package version for this feedstock is out of date.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 ...
We also have an experimental implementation in Triton that support attention bias (e.g. ALiBi): https://github.com/Dao-AILab/flash-attention/blob/main/flash_attn/flash_attn_triton.py Tests We test that FlashAttention produces the same output and gradient as a reference implementation, up to ...
Author zhangfan-algo commented May 29, 2024 执行命令 : pytest -q -s tests/test_flash_attn.py Author zhangfan-algo commented May 29, 2024 拉取了git 选择2.5.8源码安装的Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment ...
Hi, I'm on an EC2 instance and am trying to install flash-attn but keep running into an ssl error. Wondering if you know what's going on. I have openssl-1.1.1l installed. Here's the output: [ec2-user@ip-xxx-xx-xx-x ~]$ pip3.10 install fl...
Getting this error when trying to install: C:\Users\Ncee>pip install flash-attn Collecting flash-attn Using cached flash_attn-2.2.3.post2.tar.gz (2.3 MB) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error × pytho...
cd .. git clone https://github.com/john-hewitt/lm-evaluation-harness And run the installation specified there. Then, run the following cd lm-evaluation-harness bash do_all.sh The path to the checkpoint is currently hard-coded into line 59 of lm_eval/models/gpt2.py, so we need to ...