Created
November 7, 2015 22:22
-
-
Save rfc1459/7a68e021d39b6f40e8df to your computer and use it in GitHub Desktop.
nvidia-docker test
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
$ docker build -t device_query samples/deviceQuery | |
Sending build context to Docker daemon 2.048 kB | |
Step 1 : FROM cuda:latest | |
---> 24b36fe1abbc | |
Step 2 : WORKDIR /usr/local/cuda/samples/1_Utilities/deviceQuery | |
---> Running in f8c0bfb5333e | |
---> 9951d503fd02 | |
Removing intermediate container f8c0bfb5333e | |
Step 3 : RUN make | |
---> Running in 974ed5a27cda | |
/usr/local/cuda-7.5/bin/nvcc -ccbin g++ -I../../common/inc -m64 -gencode arch=compute_20,code=sm_20 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_52,code=compute_52 -o deviceQuery.o -c deviceQuery.cpp | |
/usr/local/cuda-7.5/bin/nvcc -ccbin g++ -m64 -gencode arch=compute_20,code=sm_20 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_52,code=compute_52 -o deviceQuery deviceQuery.o | |
mkdir -p ../../bin/x86_64/linux/release | |
cp deviceQuery ../../bin/x86_64/linux/release | |
---> dbcd001f1416 | |
Removing intermediate container 974ed5a27cda | |
Step 4 : CMD ./deviceQuery | |
---> Running in 6e669de169e2 | |
---> 6de3092faf4d | |
Removing intermediate container 6e669de169e2 | |
Successfully built 6de3092faf4d | |
$ GPU=0 ./nvidia-docker run --rm device_query | |
[ NVIDIA ] =INFO= Driver version: 352.55 | |
[ NVIDIA ] =INFO= CUDA image version: 7.5 | |
./deviceQuery Starting... | |
CUDA Device Query (Runtime API) version (CUDART static linking) | |
Detected 1 CUDA Capable device(s) | |
Device 0: "GeForce GTX 650 Ti" | |
CUDA Driver Version / Runtime Version 7.5 / 7.5 | |
CUDA Capability Major/Minor version number: 3.0 | |
Total amount of global memory: 2047 MBytes (2146762752 bytes) | |
( 4) Multiprocessors, (192) CUDA Cores/MP: 768 CUDA Cores | |
GPU Max Clock rate: 928 MHz (0.93 GHz) | |
Memory Clock rate: 2700 Mhz | |
Memory Bus Width: 128-bit | |
L2 Cache Size: 262144 bytes | |
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096) | |
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers | |
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers | |
Total amount of constant memory: 65536 bytes | |
Total amount of shared memory per block: 49152 bytes | |
Total number of registers available per block: 65536 | |
Warp size: 32 | |
Maximum number of threads per multiprocessor: 2048 | |
Maximum number of threads per block: 1024 | |
Max dimension size of a thread block (x,y,z): (1024, 1024, 64) | |
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535) | |
Maximum memory pitch: 2147483647 bytes | |
Texture alignment: 512 bytes | |
Concurrent copy and kernel execution: Yes with 1 copy engine(s) | |
Run time limit on kernels: Yes | |
Integrated GPU sharing Host Memory: No | |
Support host page-locked memory mapping: Yes | |
Alignment requirement for Surfaces: Yes | |
Device has ECC support: Disabled | |
Device supports Unified Addressing (UVA): Yes | |
Device PCI Domain ID / Bus ID / location ID: 0 / 2 / 0 | |
Compute Mode: | |
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > | |
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.5, CUDA Runtime Version = 7.5, NumDevs = 1, Device0 = GeForce GTX 650 Ti | |
Result = PASS |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment