paddlex_gui_win10（飞浆）

显卡：GTX 1650

cuda：cuda_10.1.105_418.96_win10

Python：

pip install paddlex -i https://mirror.baidu.com/pypi/simple
pip install paddlepaddle -i https://mirror.baidu.com/pypi/simple
pip install chardet -i https://mirror.baidu.com/pypi/simple

导出模型后运行 

model = pdx.deploy.Predictor('D:paddlex_workspaceP0001-T0001_export_modelinference_model', use_gpu=False)

python predict.py

C:Program FilesNVIDIA GPU Computing ToolkitCUDAv10.1extrasdemo_suite>deviceQuery.exe

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

Detected 1 CUDA Capable device(s)

Device 0: "GeForce GTX 1650"
  CUDA Driver Version / Runtime Version          11.1 / 10.1
  CUDA Capability Major/Minor version number:    7.5
  Total amount of global memory:                 4096 MBytes (4294967296 bytes)
  (14) Multiprocessors, ( 64) CUDA Cores/MP:     896 CUDA Cores
  GPU Max Clock rate:                            1590 MHz (1.59 GHz)
  Memory Clock rate:                             6001 Mhz
  Memory Bus Width:                              128-bit
  L2 Cache Size:                                 1048576 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:               zu bytes
  Total amount of shared memory per block:       zu bytes
  Total number of registers available per block: 65536
  Warp size:                                     32
  Maximum number of threads per multiprocessor:  1024
  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:                          zu bytes
  Texture alignment:                             zu bytes
  Concurrent copy and kernel execution:          Yes with 6 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
  CUDA Device Driver Mode (TCC or WDDM):         WDDM (Windows Display Driver Model)
  Device supports Unified Addressing (UVA):      Yes
  Device supports Compute Preemption:            Yes
  Supports Cooperative Kernel Launch:            Yes
  Supports MultiDevice Co-op Kernel Launch:      No
  Device PCI Domain ID / Bus ID / location ID:   0 / 1 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.1, CUDA Runtime Version = 10.1, NumDevs = 1, Device0 = GeForce GTX 1650
Result = PASS

　　

C:Program FilesNVIDIA GPU Computing ToolkitCUDAv10.1extrasdemo_suite>bandwidthTest.exe

[CUDA Bandwidth Test] - Starting...
Running on...

 Device 0: GeForce GTX 1650
 Quick Mode

 Host to Device Bandwidth, 1 Device(s)
 PINNED Memory Transfers
   Transfer Size (Bytes)        Bandwidth(MB/s)
   33554432                     12217.3

 Device to Host Bandwidth, 1 Device(s)
 PINNED Memory Transfers
   Transfer Size (Bytes)        Bandwidth(MB/s)
   33554432                     12734.4

 Device to Device Bandwidth, 1 Device(s)
 PINNED Memory Transfers
   Transfer Size (Bytes)        Bandwidth(MB/s)
   33554432                     161388.2

Result = PASS

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