Closed kisaragychihaya closed 1 year ago
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为复现问题,请提供编译使用的完整cmake命令
为复现问题,请提供编译使用的完整cmake命令
cmake .. -GNinja -DWITH_MKL=OFF -DWITH_MKLDNN=OFF -DWITH_TESTING=OFF -DCMAKE_BUILD_TYPE=Release -DON_INFER=ON -DWITH_LITE=ON -DWITH_TENSORRT=ON -DTENSORRT_ROOT_DIR="E:\tmp\TensorRT-8.2.3.0" -DCUDA_ARCH_NAME="Manual" -DNEW_RELEASE_PYPI=ON -DCUDA_ARCH_BIN="61 72 75 86" -DWITH_UNITY_BUILD=ON
kisaragychihaya这边的软硬件环境是: AMD r9 5950X+ RTX3080 win10 64bit 1)需求反馈:现在家用电脑和云端不少锐龙和EPYC的机器 这些机器MKL应该都跑不了 2)现在需要个openblas+cuda11.6或者11.2的包试试看 预编译的那些在amd zen3架构cpu上面没法跑在cpu模式下,电脑上python38的paddle的pdi的cpu模式不是段错误就是avxcore出问题 只能用GPU模式完成开发了
@pangyoki 辛苦协助复现和定位一下问题
@kisaragychihaya 你好,CUDA11.3需要使用VS2019来编译,可以在 https://visualstudio.microsoft.com/zh-hans/vs/older-downloads/ 中下载vs2019社区版并安装
Since you haven\'t replied for more than a year, we have closed this issue/pr. If the problem is not solved or there is a follow-up one, please reopen it at any time and we will continue to follow up. 由于您超过一年未回复,我们将关闭这个issue/pr。 若问题未解决或有后续问题,请随时重新打开,我们会继续跟进。
问题描述 Issue Description
CMakeCache.txt cicc.exe-9bc143.zip
版本&环境信息 Version & Environment Information
Paddle 源码Version 2.3.2 CUDA:11.3.58+cudnn8.2.1 系统 Win10 64bit 编译环境 VS2017+Ninja
Paddle version: None Paddle With CUDA: None
OS: Windows 10 Python version: 3.8.10
CUDA version: 11.3.58 Build cuda_11.3.r11.3/compiler.29745058_0 cuDNN version: None.None.None Nvidia driver version: 516.40
编译过程出错