modify ssld model speed

docs/zh_CN/algorithm_introduction/ImageNet_models.md

@@ -66,7 +66,7 @@
 |---------------------|-----------|-----------|---------------|----------------|-----------|----------|-----------|-----------------------------------|-----------------------------------|-----------------------------------|
 | ResNet34_vd_ssld         | 0.797    | 0.760  | 0.037  | 2.00             | 3.28             | 5.84              | 3.93     | 21.84     | <span style="white-space:nowrap;">[下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet34_vd_ssld_pretrained.pdparams)&emsp;&emsp;</span> | <span style="white-space:nowrap;">[下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/ResNet34_vd_ssld.tar)&emsp;&emsp;</span> |
 | ResNet50_vd_ssld | 0.830    | 0.792    | 0.039 | 2.60             | 4.86             | 7.63              | 4.35     | 25.63     | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet50_vd_ssld_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/ResNet50_vd_ssld_infer.tar) |
-| ResNet101_vd_ssld   | 0.837    | 0.802    | 0.035 | 4.43             | 8.25             | 12.58       | 8.08     | 44.67     | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet101_vd_ssld_pretrained.pdparams)   | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/ResNet101_vd_ssld_infer.tar) |
+| ResNet101_vd_ssld   | 0.837    | 0.802    | 0.035 | 4.43             | 8.25             | 12.60     | 8.08     | 44.67     | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet101_vd_ssld_pretrained.pdparams)   | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/ResNet101_vd_ssld_infer.tar) |
 | Res2Net50_vd_26w_4s_ssld | 0.831    | 0.798    | 0.033 | 3.59             | 6.35             | 9.50              | 4.28     | 25.76     | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/Res2Net50_vd_26w_4s_ssld_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/Res2Net50_vd_26w_4s_ssld_infer.tar) |
 | Res2Net101_vd_<br>26w_4s_ssld | 0.839    | 0.806    | 0.033 | 6.34             | 11.02            | 16.13             | 8.35    | 45.35     | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/Res2Net101_vd_26w_4s_ssld_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/Res2Net101_vd_26w_4s_ssld_infer.tar) |
 | Res2Net200_vd_<br>26w_4s_ssld | 0.851    | 0.812    | 0.049 | 11.45            | 19.77            | 28.81             | 15.77    | 76.44     | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/Res2Net200_vd_26w_4s_ssld_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/Res2Net200_vd_26w_4s_ssld_infer.tar) |