Jetson TX2上的demo

一、快速傅里叶-海动图 sample

The CUDA samples directory is copied to the home directory on the device by JetPack. The built binaries are in the following directory:

/home/ubuntu/NVIDIA_CUDA-<version>_Samples/bin/armv7l/linux/release/gnueabihf/

这里的version需要看你自己安装的CUDA版本而定

Run the samples at the command line or by double-clicking on them in the file browser. For example, when you run the oceanFFT sample, the following screen is displayed.

二、车辆识别加框sample

nvidia@tegra-ubuntu:~/tegra_multimedia_api/samples/backend$

./backend 1 ../../data/Video/sample_outdoor_car_1080p_10fps.h264 H264

--trt-deployfile ../../data/Model/GoogleNet_one_class/GoogleNet_modified_oneClass_halfHD.prototxt

--trt-modelfile ../../data/Model/GoogleNet_one_class/GoogleNet_modified_oneClass_halfHD.caffemodel --trt-forcefp32 0 --trt-proc-interval 1 -fps 10

三、GEMM（通用矩阵乘法）测试

nvidia@tegra-ubuntu:/usr/local/cuda/samples/7_CUDALibraries/batchCUBLAS$ ./batchCUBLAS -m1024 -n1024 -k1024

batchCUBLAS Starting...

GPU Device 0: "NVIDIA Tegra X2" with compute capability 6.2

==== Running single kernels ====

Testing sgemm#### args: ta=0 tb=0 m=1024 n=1024 k=1024 alpha = (0xbf800000, -1) beta= (0x40000000, 2)#### args: lda=1024 ldb=1024 ldc=1024

^^^^ elapsed = 0.00372291 sec GFLOPS=576.83@@@@ sgemm test OK

Testing dgemm#### args: ta=0 tb=0 m=1024 n=1024 k=1024 alpha = (0x0000000000000000, 0) beta= (0x0000000000000000, 0)#### args: lda=1024 ldb=1024 ldc=1024

^^^^ elapsed = 0.10940003 sec GFLOPS=19.6296@@@@ dgemm test OK

==== Running N=10 without streams ====

Testing sgemm#### args: ta=0 tb=0 m=1024 n=1024 k=1024 alpha = (0xbf800000, -1) beta= (0x00000000, 0)#### args: lda=1024 ldb=1024 ldc=1024

^^^^ elapsed = 0.03462315 sec GFLOPS=620.245@@@@ sgemm test OK

Testing dgemm#### args: ta=0 tb=0 m=1024 n=1024 k=1024 alpha = (0xbff0000000000000, -1) beta= (0x0000000000000000, 0)#### args: lda=1024 ldb=1024 ldc=1024

^^^^ elapsed = 1.09212208 sec GFLOPS=19.6634@@@@ dgemm test OK

==== Running N=10 with streams ====

Testing sgemm#### args: ta=0 tb=0 m=1024 n=1024 k=1024 alpha = (0x40000000, 2) beta= (0x40000000, 2)#### args: lda=1024 ldb=1024 ldc=1024

^^^^ elapsed = 0.03504515 sec GFLOPS=612.776@@@@ sgemm test OK

Testing dgemm#### args: ta=0 tb=0 m=1024 n=1024 k=1024 alpha = (0xbff0000000000000, -1) beta= (0x0000000000000000, 0)#### args: lda=1024 ldb=1024 ldc=1024

^^^^ elapsed = 1.09177494 sec GFLOPS=19.6697@@@@ dgemm test OK

==== Running N=10 batched ====

Testing sgemm#### args: ta=0 tb=0 m=1024 n=1024 k=1024 alpha = (0x3f800000, 1) beta= (0xbf800000, -1)#### args: lda=1024 ldb=1024 ldc=1024

^^^^ elapsed = 0.03766394 sec GFLOPS=570.17@@@@ sgemm test OK

Testing dgemm#### args: ta=0 tb=0 m=1024 n=1024 k=1024 alpha = (0xbff0000000000000, -1) beta= (0x4000000000000000, 2)#### args: lda=1024 ldb=1024 ldc=1024

^^^^ elapsed = 1.09389901 sec GFLOPS=19.6315@@@@ dgemm test OK

Test Summary0 error(s)

四、内存带宽测试

nvidia@tegra-ubuntu:/usr/local/cuda/samples/1_Utilities/bandwidthTest$ ./bandwidthTest

[CUDA Bandwidth Test] - Starting...

Running on...

Device 0: NVIDIA Tegra X2

Quick Mode

Host to Device Bandwidth, 1 Device(s)

PINNED Memory Transfers

Transfer Size (Bytes) Bandwidth(MB/s)

33554432 20215.8

Device to Host Bandwidth, 1 Device(s)

PINNED Memory Transfers

Transfer Size (Bytes) Bandwidth(MB/s)

33554432 20182.2

Device to Device Bandwidth, 1 Device(s)

PINNED Memory Transfers

Transfer Size (Bytes) Bandwidth(MB/s)

33554432 35742.8

Result = PASS

NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled.

五、设备查询

nvidia@tegra-ubuntu:~/work/TensorRT/tmp/usr/src/tensorrt$ cd /usr/local/cuda/samples/1_Utilities/deviceQuery

nvidia@tegra-ubuntu:/usr/local/cuda/samples/1_Utilities/deviceQuery$ ls

deviceQuery deviceQuery.cpp deviceQuery.o Makefile NsightEclipse.xml readme.txt

nvidia@tegra-ubuntu:/usr/local/cuda/samples/1_Utilities/deviceQuery$ ./deviceQuery

./deviceQuery Starting...

CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "NVIDIA Tegra X2"

CUDA Driver Version / Runtime Version 8.0 / 8.0

CUDA Capability Major/Minor version number: 6.2

Total amount of global memory: 7851 MBytes (8232062976 bytes)

( 2) Multiprocessors, (128) CUDA Cores/MP: 256 CUDA Cores

GPU Max Clock rate: 1301 MHz (1.30 GHz)

Memory Clock rate: 1600 Mhz

Memory Bus Width: 128-bit

L2 Cache Size: 524288 bytes

Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)

Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers

Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 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: 32768

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: No

Integrated GPU sharing Host Memory: Yes

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 / 0 / 0

Compute Mode:

< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 8.0, CUDA Runtime Version = 8.0, NumDevs = 1, Device0 = NVIDIA Tegra X2Result = PASS

六、大型项目的测试

详情查看https://developer.nvidia.com/embedded/jetpack

这里面还有一些项目

巴特西

Jetson TX2上的demo（原创）

Jetson TX2上的demo

一、快速傅里叶-海动图 sample

二、车辆识别加框sample

三、GEMM（通用矩阵乘法）测试

四、内存带宽测试

五、设备查询

六、大型项目的测试

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