flash_attn安装 1. cuda-nvcc安装 /nvidia/cuda-nvcc 2. torch安装 # / # 找到对应cuda版本的torch进行安装 pip3 install torch torchvision torchaudio --index-url /whl/cu121 3. flash_attn安装 访问该网站,找到对应torch、python、cuda版本的flash_attn进行下载,并上传到服务器 /Dao-AILab/flash-attention...
torch 2.1.2+cu121 flash-attn 2.3.3 在使用vllm运行xverse/XVERSE-13B-256K时(代码如下): qwen_model = AutoModelForSequenceClassification.from_pretrained( args.pre_train, trust_remote_code=True, attn_implementation="flash_attention_2", torch_dtype=torch.bfloat16, ...
RuntimeError: FlashAttention is only supported onCUDA11.6 and above. Note: make sure nvcc has a supported version by running nvcc -V. torch.__version__ = 2.1.2+cu121 [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata...
flash_attn-2.6.3-cp311-cp311-win_amd64.whl 这个文件需要的人自然知道是啥,第一次遇到需要编译5个小时,安装一个python包的情况,属实震惊了。估计也没有谁会需要。放在这里纯当是自己也备份一下,以后万一需要重装也不必重新编译了。 python:3.11.6 cuda:12.6 torch:2.4.0+cu121 flash_attn:2.6.3 xformer...
PyTorch version: 2.3.0+cu121 Is debug build: False CUDA used to build PyTorch: 12.1 ROCM used to build PyTorch: N/A OS: Ubuntu 22.04.4 LTS (x86_64) GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 Clang version: Could not collect ...
│ exit code: 1 ╰─> [9 lines of output] fatal: not a git repository (or any of the parent directories): .git torch.__version__ = 2.1.2+cu121 running bdist_wheel Guessing wheel URL: https://github.com/Dao-AILab/flash-attention/releases/download/v2.4.2/flash_attn-2.4.2+cu122to...
最后解决: 先卸载原本的torch: pip uninstall torch torchvision torchaudio 然后安装12.1的: pip install torch torchvision torchaudio -f https://download.pytorch.org/whl/cu121/torch_stable.html 最后加载成功codellama 本站仅提供存储服务,所有内容均由用户发布,如发现有害或侵权内容,请点击举报。打开...
// Modified from: https://github.com/tspeterkim/flash-attention-minimal/blob/main/flash.cu #include <torch/types.h> #include <cuda.h> #include <cuda_runtime.h> #include <cuda_fp16.h> #include <cuda_bf16.h> #include <cuda_fp8.h> #include <torch/types.h> #include ...
cu_q_lens = torch.arange(0, (bsz + 1) * q_len, step=q_len, dtype=torch.int32, device=qkv.device) output = flash_attn_varlen_qkvpacked_func( qkv, cu_q_lens, max_s, 0.0, softmax_scale=None, causal=True ) output = rearrange(output, '(b s) ... -> b s .....
估计也没有谁会需要。放在这里纯当是自己也备份一下,以后万一需要重装也不必重新编译了。 python:3.11.6 cuda:12.6 torch:2.4.0+cu121 flash_attn:2.6.3 xformers:0.0.27.post2 https://pan.baidu.com/s/1XTWx060Ded8blUU5lsOoNw vz9f