未验证 提交 44609c2a 编写于 作者: T Tao Luo 提交者: GitHub

Update the VGG and ResNet benchmark when NUMA=ON

上级 719644ad
...@@ -12,11 +12,11 @@ Machine: ...@@ -12,11 +12,11 @@ Machine:
System: CentOS release 6.3 (Final), Docker 1.12.1. System: CentOS release 6.3 (Final), Docker 1.12.1.
PaddlePaddle: paddlepaddle/paddle:latest (TODO: will rerun after 0.11.0) PaddlePaddle: paddlepaddle/paddle:latest (for MKLML and MKL-DNN), paddlepaddle/paddle:latest-openblas (for OpenBLAS)
- MKL-DNN tag v0.11
- MKL-DNN tag v0.10 - MKLML 2018.0.1.20171007
- MKLML 2018.0.20170720
- OpenBLAS v0.2.20 - OpenBLAS v0.2.20
(TODO: will rerun after 0.11.0)
On each machine, we will test and compare the performance of training on single node using MKL-DNN / MKLML / OpenBLAS respectively. On each machine, we will test and compare the performance of training on single node using MKL-DNN / MKLML / OpenBLAS respectively.
...@@ -31,9 +31,9 @@ Input image size - 3 * 224 * 224, Time: images/second ...@@ -31,9 +31,9 @@ Input image size - 3 * 224 * 224, Time: images/second
| BatchSize | 64 | 128 | 256 | | BatchSize | 64 | 128 | 256 |
|--------------|-------| -----| --------| |--------------|-------| -----| --------|
| OpenBLAS | 7.82 | 8.62 | 10.34 | | OpenBLAS | 7.80 | 9.00 | 10.80 |
| MKLML | 11.02 | 12.86 | 15.33 | | MKLML | 12.12 | 13.70 | 16.18 |
| MKL-DNN | 27.69 | 28.8 | 29.27 | | MKL-DNN | 28.46 | 29.83 | 30.44 |
chart on batch size 128 chart on batch size 128
...@@ -43,9 +43,9 @@ TBD ...@@ -43,9 +43,9 @@ TBD
| BatchSize | 64 | 128 | 256 | | BatchSize | 64 | 128 | 256 |
|--------------|-------| ------| -------| |--------------|-------| ------| -------|
| OpenBLAS | 22.90 | 23.10 | 25.59 | | OpenBLAS | 25.22 | 25.68 | 27.12 |
| MKLML | 29.81 | 30.18 | 32.77 | | MKLML | 32.52 | 31.89 | 33.12 |
| MKL-DNN | 80.49 | 82.89 | 83.13 | | MKL-DNN | 81.69 | 82.35 | 84.08 |
chart on batch size 128 chart on batch size 128
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