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update alexnet training data #6878

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Dec 25, 2017
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update alexnet training data #6878

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update alexnet training data
tensor-tang Dec 22, 2017
e9ee6fe
update alexnet training data
luotao1 Dec 25, 2017
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11 changes: 11 additions & 0 deletions benchmark/IntelOptimizedPaddle.md
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Expand Up @@ -22,6 +22,7 @@ On each machine, we will test and compare the performance of training on single

#### Training
Test on batch size 64, 128, 256 on Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz
Pay attetion that the speed below includes forward, backward and parameter update time. So we can not directly compare the data with the benchmark of caffe `time` [command](https://github.com/PaddlePaddle/Paddle/blob/develop/benchmark/caffe/image/run.sh#L9), which only contain forward and backward. The updating time of parameter would become very heavy when the weight size are large, especially on alexnet.

Input image size - 3 * 224 * 224, Time: images/second

Expand Down Expand Up @@ -55,6 +56,16 @@ Input image size - 3 * 224 * 224, Time: images/second

<img src="figs/googlenet-cpu-train.png" width="500">

- Alexnet

| BatchSize | 64 | 128 | 256 |
|--------------|--------| ------ | -------|
| OpenBLAS | 0.85 | 1.03 | 1.17 |
| MKLML | 71.26 | 106.94 | 155.18 |
| MKL-DNN     | 362.66 | 497.66 | 610.73 |
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BatchSize 64 128 256
OpenBLAS 2.13 2.45 2.68
MKLML 66.37 105.60 144.04
MKL-DNN 399.00 498.94 626.53


chart TBD

#### Inference
Test on batch size 1, 2, 4, 8, 16 on Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz
- VGG-19
Expand Down