🐛 Bugs / Unexpected behaviors I am creating a dockerfile with PyTorch3d, I have the following lines in my dockerfile: FROM nvidia/cudagl:10.1-devel-ubuntu18.04 RUN pip install torch==1.5.0+cu101 torchvision==0.6.0+cu101 RUN FORCE_CUDA=1 ...
Showing 1 changed file with 4 additions and 4 deletions. Whitespace Ignore whitespace Split Unified 8 changes: 4 additions & 4 deletions 8 src/cpu_voxelizer.cpp Original file line numberDiff line numberDiff line change @@ -39,7 +39,7 @@ namespace cpu_voxelizer {...
1.准备环境:建议用conda新建一个环境:conda create --name janus 2.安装依赖:conda install pytorch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 pytorch-cuda=12.4 huggingface_hub -c pytorch -c nvidia 3.下载模型(这里用了镜像加速):HF_ENDPOINT=链接huggingface-cli download deepseek-ai/Janus-Pro-7B...
知乎,中文互联网高质量的问答社区和创作者聚集的原创内容平台,于 2011 年 1 月正式上线,以「让人们更好的分享知识、经验和见解,找到自己的解答」为品牌使命。知乎凭借认真、专业、友善的社区氛围、独特的产品机制以及结构化和易获得的优质内容,聚集了中文互联网科技、
Read the full-text online article and more details about "'Cudas' Future Is on Thin Ice; Arena Problems Could Force the Hockey Team to Suspend Operations" by Schneider, Jason - The Florida Times Union, April 22, 2007By SchneiderJason
There are two options for Shan-Chen method: (1) Original Shan-Chen method, which integrates the force term to the equilibrium velocity and cannot reach high viscosity ratio; (2) Explicit forcing model developed by M.Porter et al (2012), which is able to reach high viscosity ratio with the...
# 1.创建vllm虚拟环境conda create --name vllm python=3.10conda activate vllm 2.安装vllm,会自行安装torchpip install vllm==0.3.0```## 3.启动qwen1.5```bash# 注意因为我之前下载了模型,所以需要关闭modelscope的模型下载CUDA_VISIBLE_DEVICES=6 python -m vllm.entrypoints.openai.api_server --...
AMD联手TinyGrad挑战NVIDIA垄断 | 重磅行业变局!天才黑客George Hotz推动AMD与开源AI框架TinyGrad达成合作,剑指NVIDIA的CUDA生态垄断。这场看似「大卫对抗歌利亚」的战役,藏着三个关键突破点:1️⃣ 硬件厂商首次深度适配轻量化框架,能否降低AI算力门槛?2️⃣ 开源生态的快速迭代优势,是否真能突破闭源系统的护城河...
1月17日已发布,联想【拯救者 Y7000P】游戏本24款 目前顶配版也已上架: i7-14700HX + RTX 4070 + 16GB RAM + 1TB 存储空间首发价 8999 元。 CPU:14代酷睿i7-14700HX,20 核28线,单核睿频5.5GHz,L3 缓存33MB,intel 7工艺,110W; 显卡:RTX 4070 ,8GB 128bit GDDR6,4608 CUDA, 140 W满血,Dynamic ...
FlashAttention-2 MMA | 分享一下自己用MMA手写的FlashAttention,除了Split-KV/Q外,还额外实现了Shared KV SMEM、Fully Shared QKV SMEM、Prefetch Q s2r、K Mulit-Stages等优化策略,最激进的方案,只需原FA2算法1/4的SRAM。纯纯Write for Fun~ 性能持续优化中(后边会写篇文章来整理自己尝试过的一些思路)。代码...