update PaddlePaddle version to 2.2+

This commit is contained in:
WenmuZhou
2021-11-04 16:16:39 +00:00
parent e58d960d6c
commit eb5ac1e5a7

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@@ -26,7 +26,7 @@ The introduction and tutorial of Paddle Serving service deployment framework ref
Arcface operating environment and Paddle Serving operating environment are needed.
1. Please prepare Arcface operating environment reference [link](../../README_en.md).
Download the corresponding paddle whl package according to the environment, it is recommended to install version 2.0.1.
Download the corresponding paddle whl package according to the environment, it is recommended to install version 2.2+.
2. The steps of PaddleServing operating environment prepare are as follows:
@@ -143,40 +143,30 @@ The recognition model is the same.
Tested on 700 real picture. The average QPS on V100 GPU can reach around 57:
```
2021-05-13 03:42:36,895 ==================== TRACER ======================
2021-05-13 03:42:36,975 Op(rec):
2021-05-13 03:42:36,976 in[14.472382882882883 ms]
2021-05-13 03:42:36,976 prep[9.556855855855856 ms]
2021-05-13 03:42:36,976 midp[59.921905405405404 ms]
2021-05-13 03:42:36,976 postp[15.345945945945946 ms]
2021-05-13 03:42:36,976 out[1.9921216216216215 ms]
2021-05-13 03:42:36,976 idle[0.16254943864471572]
2021-05-13 03:42:36,976 Op(det):
2021-05-13 03:42:36,976 in[315.4468035714286 ms]
2021-05-13 03:42:36,976 prep[69.5980625 ms]
2021-05-13 03:42:36,976 midp[18.989535714285715 ms]
2021-05-13 03:42:36,976 postp[18.857803571428573 ms]
2021-05-13 03:42:36,977 out[3.1337544642857145 ms]
2021-05-13 03:42:36,977 idle[0.7477961159203756]
2021-05-13 03:42:36,977 DAGExecutor:
2021-05-13 03:42:36,977 Query count[224]
2021-05-13 03:42:36,977 QPS[22.4 q/s]
2021-05-13 03:42:36,977 Succ[0.9910714285714286]
2021-05-13 03:42:36,977 Error req[169, 170]
2021-05-13 03:42:36,977 Latency:
2021-05-13 03:42:36,977 ave[535.1678348214285 ms]
2021-05-13 03:42:36,977 .50[172.651 ms]
2021-05-13 03:42:36,977 .60[187.904 ms]
2021-05-13 03:42:36,977 .70[245.675 ms]
2021-05-13 03:42:36,977 .80[526.684 ms]
2021-05-13 03:42:36,977 .90[854.596 ms]
2021-05-13 03:42:36,977 .95[1722.728 ms]
2021-05-13 03:42:36,977 .99[3990.292 ms]
2021-05-13 03:42:36,978 Channel (server worker num[10]):
2021-05-13 03:42:36,978 chl0(In: ['@DAGExecutor'], Out: ['det']) size[0/0]
2021-05-13 03:42:36,979 chl1(In: ['det'], Out: ['rec']) size[6/0]
2021-05-13 03:42:36,979 chl2(In: ['rec'], Out: ['@DAGExecutor']) size[0/0]
2021-11-04 13:38:52,507 Op(ArcFace):
2021-11-04 13:38:52,507 in[135.4579597902098 ms]
2021-11-04 13:38:52,507 prep[0.9921311188811189 ms]
2021-11-04 13:38:52,507 midp[3.9232132867132865 ms]
2021-11-04 13:38:52,507 postp[0.12166258741258741 ms]
2021-11-04 13:38:52,507 out[0.9898286713286714 ms]
2021-11-04 13:38:52,508 idle[0.9643989520087675]
2021-11-04 13:38:52,508 DAGExecutor:
2021-11-04 13:38:52,508 Query count[573]
2021-11-04 13:38:52,508 QPS[57.3 q/s]
2021-11-04 13:38:52,509 Succ[0.9982547993019197]
2021-11-04 13:38:52,509 Error req[394]
2021-11-04 13:38:52,509 Latency:
2021-11-04 13:38:52,509 ave[11.52941186736475 ms]
2021-11-04 13:38:52,509 .50[11.492 ms]
2021-11-04 13:38:52,509 .60[11.658 ms]
2021-11-04 13:38:52,509 .70[11.95 ms]
2021-11-04 13:38:52,509 .80[12.251 ms]
2021-11-04 13:38:52,509 .90[12.736 ms]
2021-11-04 13:38:52,509 .95[13.21 ms]
2021-11-04 13:38:52,509 .99[13.987 ms]
2021-11-04 13:38:52,510 Channel (server worker num[10]):
2021-11-04 13:38:52,510 chl0(In: ['@DAGExecutor'], Out: ['ArcFace']) size[0/0]
2021-11-04 13:38:52,510 chl1(In: ['ArcFace'], Out: ['@DAGExecutor']) size[0/0]
```
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