07 2020 档案
摘要:如果你需要动态库就用人家编译好的so https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-gpu-linux-x86_64-1.15.0.tar.gz 安装Nvidia-docker curl -s -L htt
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摘要:1. 下载与安装: https://pytorch.org/get-started/locally/ 安装cuda9.2 & cudnn https://developer.nvidia.com/rdp/cudnn-download 2. 第一个程序 编写CMakeLists.txt cmake_m
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摘要:// 8 Rows of square-matrix A processed by each CTA. // This can be max 32 and only power of 2 (i.e., 2/4/8/16/32). #define ROWS_PER_CTA 8 #if !defined
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