![]() ![]() Testing cudnnFindConvolutionForwardAlgorithm. Testing cudnnGetConvolutionForwardAlgorithm. There are 1 CUDA capable devices on your machine :ĭevice 0 : sms 3 Capabilities 5.0, SmClock 1189.0 Mhz, MemSize (Mb ) 2004, MemClock 2505.0 Mhz, Ecc = 0, boardGroupID = 0 cuDNN Code Samples and User Guide for Ubuntu16.04 (Deb)ĬudnnGetVersion ( ) : 7402, CUDNN_VERSION from cudnn.h : 7402 ( 7.4.2 ).cuDNN Developer Library for Ubuntu16.04 (Deb).cuDNN Runtime Library for Ubuntu16.04 (Deb).NOTE: You have to sign up at NVIDIA website before The library was installed! Install cuDNN Download cuDNN v7.4.2 (Dec 14, 2018), for CUDA 10.0ĭownload the cuDNN on NVIDIA official website Supports MultiDevice Co-op Kernel Launch: Noĭevice PCI Domain ID / Bus ID / location ID: 0 / 1 / 0ĭeviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.0, CUDA Runtime Version = 10.0, NumDevs = 1 Support host page-locked memory mapping: Yesĭevice supports Unified Addressing (UVA ): Yes Max dimension size of a grid size (x,y,z ): ( 2147483647, 65535, 65535 )Ĭoncurrent copy and kernel execution: Yes with 1 copy engine (s ) Max dimension size of a thread block (x,y,z ): ( 1024, 1024, 64 ) Maximum number of threads per block: 1024 Maximum number of threads per multiprocessor: 2048 Total number of registers available per block: 65536 Total amount of shared memory per block: 49152 bytes Total amount of constant memory: 65536 bytes Maximum Layered 2D Texture Size, (num ) layers 2D = ( 16384, 16384 ), 2048 layers Maximum Layered 1D Texture Size, (num ) layers 1D = ( 16384 ), 2048 layers GPU Max Clock rate: 1189 MHz ( 1.19 GHz ) Total amount of global memory: 2004 MBytes ( 2101870592 bytes ) ( 3 ) Multiprocessors, ( 128 ) CUDA Cores/MP: 384 CUDA Cores You have to make some choices about your machine to download the file My machine:Īfter download the file, go to the download folder:ĬUDA Device Query (Runtime API ) version (CUDART static linking )ĬUDA Driver Version / Runtime Version 10.0 / 10.0ĬUDA Capability Major/Minor version number: 5.0 Download CUDA Toolkitĭownload the CUDA Toolkit on NVIDIA official website | Processes: GPU Memory | | GPU PID Type Process name Usage | | = | | 0 1091 G /usr/lib/xorg/Xorg 285MiB | | 0 2014 G compiz 103MiB | | 0 2263 G. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr.
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