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提交 52c292be 编写于 作者: M MRXLT
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add benchmark

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python/examples/imdb/README.md
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......@@ -14,3 +14,83 @@ batch clienit，若batch size为4
```
cat test.data | python test_client_batch.py inference.conf 4 > result
```
### Benchmark
设备 ：Intel(R) Xeon(R) Gold 6271 CPU @ 2.60GHz * 48
模型 ：IMDB-CNN
测试中，client共发送2500条测试样本，图中数据为单个线程的耗时，时间单位为秒
server thread num ：4
| client thread num | prepro | client infer | op0 | op1 | op2 | postpro | total |
| ------------------ | ------ | ------------ | ------ | ----- | ------ | ------- | ----- |
| 1 | 0.99 | 27.39 | 0.085 | 19.92 | 0.046 | 0.032 | 29.84 |
| 4 | 0.22 | 7.66 | 0.021 | 4.93 | 0.011 | 0.0082 | 8.28 |
| 8 | 0.1 | 6.66 | 0.01 | 2.42 | 0.0038 | 0.0046 | 6.95 |
| 12 | 0.074 | 6.87 | 0.0069 | 1.61 | 0.0059 | 0.0032 | 7.07 |
| 16 | 0.056 | 7.01 | 0.0053 | 1.23 | 0.0029 | 0.0026 | 7.17 |
| 20 | 0.045 | 7.02 | 0.0042 | 0.97 | 0.0023 | 0.002 | 7.15 |
| 24 | 0.039 | 7.012 | 0.0034 | 0.8 | 0.0019 | 0.0016 | 7.12 |
server thread num ： 8
| client thread num | prepro | client infer | op0 | op1 | op2 | postpro | total |
| ------------------ | ------ | ------------ | ------ | ----- | ------ | ------- | ----- |
| 1 | 1.02 | 28.9 | 0.096 | 20.64 | 0.047 | 0.036 | 31.51 |
| 4 | 0.22 | 7.83 | 0.021 | 5.08 | 0.012 | 0.01 | 8.45 |
| 8 | 0.11 | 4.44 | 0.01 | 2.5 | 0.0059 | 0.0051 | 4.73 |
| 12 | 0.074 | 4.11 | 0.0069 | 1.65 | 0.0039 | 0.0029 | 4.31 |
| 16 | 0.057 | 4.2 | 0.0052 | 1.24 | 0.0029 | 0.0024 | 4.35 |
| 20 | 0.046 | 4.05 | 0.0043 | 1.01 | 0.0024 | 0.0021 | 4.18 |
| 24 | 0.038 | 4.02 | 0.0034 | 0.81 | 0.0019 | 0.0015 | 4.13 |
server thread num ： 12
| client thread num | prepro | client infer | op0 | op1 | op2 | postpro | total |
| ------------------ | ------ | ------------ | ------ | ----- | ------ | ------- | ----- |
| 1 | 1.02 | 29.47 | 0.098 | 20.95 | 0.048 | 0.038 | 31.96 |
| 4 | 0.21 | 7.36 | 0.022 | 5.01 | 0.011 | 0.0081 | 7.95 |
| 8 | 0.11 | 4.52 | 0.011 | 2.58 | 0.0061 | 0.0051 | 4.83 |
| 12 | 0.072 | 3.25 | 0.0076 | 1.72 | 0.0042 | 0.0038 | 3.45 |
| 16 | 0.059 | 3.93 | 0.0055 | 1.26 | 0.0029 | 0.0023 | 4.1 |
| 20 | 0.047 | 3.79 | 0.0044 | 1.01 | 0.0024 | 0.0021 | 3.92 |
| 24 | 0.041 | 3.76 | 0.0036 | 0.83 | 0.0019 | 0.0017 | 3.87 |
server thread num ： 16
| client thread num | prepro | client infer | op0 | op1 | op2 | postpro | total |
| ------------------ | ------ | ------------ | ------ | ----- | ------ | ------- | ----- |
| 1 | 1.09 | 28.79 | 0.094 | 20.59 | 0.047 | 0.034 | 31.41 |
| 4 | 0.22 | 7.41 | 0.023 | 5.01 | 0.011 | 0.0098 | 8.01 |
| 8 | 0.11 | 4.7 | 0.012 | 2.61 | 0.0062 | 0.0049 | 5.01 |
| 12 | 0.081 | 4.69 | 0.0078 | 1.72 | 0.0042 | 0.0035 | 4.91 |
| 16 | 0.058 | 3.46 | 0.0061 | 1.32 | 0.0033 | 0.003 | 3.63 |
| 20 | 0.049 | 3.77 | 0.0047 | 1.03 | 0.0025 | 0.0022 | 3.91 |
| 24 | 0.041 | 3.86 | 0.0039 | 0.85 | 0.002 | 0.0017 | 3.98 |
server thread num ： 20
| client thread num | prepro | client infer | op0 | op1 | op2 | postpro | total |
| ------------------ | ------ | ------------ | ------ | ----- | ------ | ------- | ----- |
| 1 | 1.03 | 28.42 | 0.085 | 20.47 | 0.046 | 0.037 | 30.98 |
| 4 | 0.22 | 7.94 | 0.022 | 5.33 | 0.012 | 0.011 | 8.53 |
| 8 | 0.11 | 4.54 | 0.01 | 2.58 | 0.006 | 0.0046 | 4.84 |
| 12 | 0.079 | 4.54 | 0.0076 | 1.78 | 0.0042 | 0.0039 | 4.76 |
| 16 | 0.059 | 3.41 | 0.0057 | 1.33 | 0.0032 | 0.0027 | 3.58 |
| 20 | 0.051 | 4.33 | 0.0047 | 1.06 | 0.0025 | 0.0023 | 4.48 |
| 24 | 0.043 | 4.51 | 0.004 | 0.88 | 0.0021 | 0.0018 | 4.63 |
server thread num ：24
| client thread num | prepro | client infer | op0 | op1 | op2 | postpro | total |
| ------------------ | ------ | ------------ | ------ | ---- | ------ | ------- | ----- |
| 1 | 0.93 | 29.28 | 0.099 | 20.5 | 0.048 | 0.028 | 31.61 |
| 4 | 0.22 | 7.72 | 0.023 | 4.98 | 0.011 | 0.0095 | 8.33 |
| 8 | 0.11 | 4.77 | 0.012 | 2.65 | 0.0062 | 0.0049 | 5.09 |
| 12 | 0.081 | 4.22 | 0.0078 | 1.77 | 0.0042 | 0.0033 | 4.44 |
| 16 | 0.062 | 4.21 | 0.0061 | 1.34 | 0.0032 | 0.0026 | 4.39 |
| 20 | 0.5 | 3.58 | 0.005 | 1.07 | 0.0026 | 0.0023 | 3.72 |
| 24 | 0.043 | 4.27 | 0.0042 | 0.89 | 0.0022 | 0.0018 | 4.4 |
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