pengzhao-intel opened a new issue #12703: Performance Regression from #12019
URL: https://github.com/apache/incubator-mxnet/issues/12703
 
 
   The performance on CPU dropped about 30-50% for the inference in resnet151 
and other networks till
   https://github.com/apache/incubator-mxnet/pull/12019
   
   Please reproduce the issue by benchmark_score.py.
   
   Below data shows the fps changes, such as first row from 33.89 drops to 
19.91, about -41%.
   
   @azai91 @zheng-da @eric-haibin-lin 
   
   647559       resnet-152#3#224#224#1  647559
   COMPLETED    1516 s  RESNET-152      1       FORWARD (images/sec)    19.91 ( 
-41.25% )       33.89            
                                                        BACKWARD (images/sec)   
2.09 ( 0.26% )  2.08             
                                                        TOTAL (images/sec)      
1.89 ( -3.67% ) 1.96             
   647559       resnet-152#3#224#224#2  647559
   COMPLETED    1516 s  RESNET-152      2       FORWARD (images/sec)    30.03 ( 
-34.54% )       45.87            
                                                        BACKWARD (images/sec)   
4.09 ( 3.72% )  3.94             
                                                        TOTAL (images/sec)      
3.60 ( -0.87% ) 3.63             
   647559       resnet-152#3#224#224#4  647559
   COMPLETED    1516 s  RESNET-152      4       FORWARD (images/sec)    42.07 ( 
-28.76% )       59.05            
                                                        BACKWARD (images/sec)   
6.71 ( -8.32% ) 7.32             
                                                        TOTAL (images/sec)      
5.79 ( -11.13% )        6.52             
   647559       resnet-152#3#224#224#8  647559
   COMPLETED    1516 s  RESNET-152      8       FORWARD (images/sec)    50.32 ( 
-25.80% )       67.82            
                                                        BACKWARD (images/sec)   
12.81 ( -6.65% )        13.72            
                                                        TOTAL (images/sec)      
10.21 ( -10.54% )       11.41            
   647559       resnet-152#3#224#224#16 647559
   COMPLETED    1516 s  RESNET-152      16      FORWARD (images/sec)    50.81 ( 
-33.99% )       76.98            
                                                        BACKWARD (images/sec)   
24.34 ( 10.02% )        22.13            
                                                        TOTAL (images/sec)      
16.46 ( -4.24% )        17.19            
   647559       resnet-152#3#224#224#32 647559
   COMPLETED    1516 s  RESNET-152      32      FORWARD (images/sec)    51.26 ( 
-35.19% )       79.10            
                                                        BACKWARD (images/sec)   
36.72 ( 10.40% )        33.26            
                                                        TOTAL (images/sec)      
21.39 ( -8.63% )        23.41            
   647559       resnet-152#3#224#224#64 647559
   COMPLETED    1516 s  RESNET-152      64      FORWARD (images/sec)    50.46 ( 
-36.77% )       79.81            
                                                        BACKWARD (images/sec)   
56.14 ( 16.53% )        48.18            
                                                        TOTAL (images/sec)      
26.57 ( -11.54% )       30.04            
   647559       resnet-152#3#224#224#128        647559
   COMPLETED    1516 s  RESNET-152      128     FORWARD (images/sec)    51.30 ( 
-34.70% )       78.57            
                                                        BACKWARD (images/sec)   
73.81 ( 10.29% )        66.92            
                                                        TOTAL (images/sec)      
30.27 ( -16.25% )       36.14            
   647559       resnet-152#3#224#224#256        647559
   COMPLETED    1516 s  RESNET-152      256     FORWARD (images/sec)    51.44 ( 
-33.42% )       77.27            
                                                        BACKWARD (images/sec)   
80.00 ( 1.38% ) 78.92            
   
   
   
   

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
[email protected]


With regards,
Apache Git Services

Reply via email to