Open zhangxian314 opened 1 year ago
/home/zhangxian/mywork/CNN-A/CNN-A/Emulation-SW/CNN-A /home/zhangxian/mywork/CNN-A/CNN-A_system/Emulation-SW/binary_container_1.xclbin
PipeCNN: An OpenCL-Based FPGA Accelerator for CNNs
***Xilinx
Platform: Xilinx Totally 1 device(s) are found Using Device 0: xilinx_u50_gen3x16_xdma_201920_3 Device OpenCL Version: OpenCL 1.0 Device Max Compute Units: 0 Device Max WorkGroup Size: 4294967295 Device Max WorkItem Size: 4294967295 Device Global Memory Size: 8192 MBytes Device Local Memory Size: 16 KBytes Device Max Clock Freq: 300 Mhz
138455872 total weights read 1024 total output reference read
==========================11111111============================1 ==========================22222222============================ ===============un use opencv================================ ==========load image path===============/home/zhangxian/mywork/CNN-A/CNN-A/src/data/data_vgg/image.dat
150528 bytes image data read from binary files
Executing Layer 1:
Launching single work-item kernel winbuffer
Launching single work-item kernel Conv
Launching single work-item kernel MemWr ====================333333333============================ ====================333333333=======pool_on===================== ====================44444444============333333================
It can not return a result in executing Layer 1, so the next layer can not be executed.
/home/zhangxian/mywork/CNN-A/CNN-A/Emulation-SW/CNN-A /home/zhangxian/mywork/CNN-A/CNN-A_system/Emulation-SW/binary_container_1.xclbin
PipeCNN: An OpenCL-Based FPGA Accelerator for CNNs
***Xilinx
Platform: Xilinx Totally 1 device(s) are found Using Device 0: xilinx_u50_gen3x16_xdma_201920_3 Device OpenCL Version: OpenCL 1.0 Device Max Compute Units: 0 Device Max WorkGroup Size: 4294967295 Device Max WorkItem Size: 4294967295 Device Global Memory Size: 8192 MBytes Device Local Memory Size: 16 KBytes Device Max Clock Freq: 300 Mhz
138455872 total weights read 1024 total output reference read
==========================11111111============================1 ==========================22222222============================ ===============un use opencv================================ ==========load image path===============/home/zhangxian/mywork/CNN-A/CNN-A/src/data/data_vgg/image.dat
150528 bytes image data read from binary files
Executing Layer 1:
Launching single work-item kernel winbuffer
Launching single work-item kernel Conv
Launching single work-item kernel MemWr ====================333333333============================ ====================333333333=======pool_on===================== ====================44444444============333333================
It can not return a result in executing Layer 1, so the next layer can not be executed.