diff --git a/docs/docs/model_zoo.md b/docs/docs/model_zoo.md index f5414bc8e103693da6b69a16a3cebbe9f9da1baa..34538d8e8baf45e78bdf6f768396b37a9ee1d38b 100644 --- a/docs/docs/model_zoo.md +++ b/docs/docs/model_zoo.md @@ -28,10 +28,10 @@ | MobileNetV1 | sensitive -30% | 70.4%/89.3% (-0.59%/-0.38%) | 12 | 0.74 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV1_sensitive-30.tar) | | MobileNetV1 | sensitive -50% | 69.8% / 88.9% (-1.19%/-0.78%) | 9 | 0.56 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV1_sensitive-50.tar) | | MobileNetV2 | - | 72.15%/90.65% | 15 | 0.59 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_pretrained.tar) | -| MobileNetV2 | uniform -50% | 65.79%/86.11%(-6.35%/-4.47%) | 11 | 0.296 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV2_uniform-50.tar) | +| MobileNetV2 | uniform -50% | 65.79%/86.11% (-6.35%/-4.47%) | 11 | 0.296 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV2_uniform-50.tar) | | ResNet34 | - | 72.15%/90.65% | 84 | 7.36 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/ResNet34_pretrained.tar) | -| ResNet34 | uniform -50% | 70.99%/89.95%(-1.36%/-0.87%) | 41 | 3.67 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/ResNet34_uniform-50.tar) | -| ResNet34 | auto -55.05% | 70.24%/89.63%(-2.04%/-1.06%) | 33 | 3.31 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/ResNet34_auto-55.tar) | +| ResNet34 | uniform -50% | 70.99%/89.95% (-1.36%/-0.87%) | 41 | 3.67 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/ResNet34_uniform-50.tar) | +| ResNet34 | auto -55.05% | 70.24%/89.63% (-2.04%/-1.06%) | 33 | 3.31 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/ResNet34_auto-55.tar) | @@ -42,12 +42,12 @@ |:--:|:---:|:--:|:--:|:--:| | MobileNetV1 | student | 70.99%/89.68% | 17 | [下载链接](http://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV1_pretrained.tar) | |ResNet50_vd|teacher|79.12%/94.44%| 99 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar) | -|MobileNetV1|ResNet50_vd[1](#trans1) distill|72.77%/90.68%(+1.78%/+1.00%)| 17 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV1_distilled.tar) | +|MobileNetV1|ResNet50_vd[1](#trans1) distill|72.77%/90.68% (+1.78%/+1.00%)| 17 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV1_distilled.tar) | | MobileNetV2 | student | 72.15%/90.65% | 15 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_pretrained.tar) | -| MobileNetV2 | ResNet50_vd distill | 74.28%/91.53%(+2.13%/+0.88%) | 15 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV2_distilled.tar) | +| MobileNetV2 | ResNet50_vd distill | 74.28%/91.53% (+2.13%/+0.88%) | 15 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV2_distilled.tar) | | ResNet50 | student | 76.50%/93.00% | 99 | [下载链接](http://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_pretrained.tar) | |ResNet101|teacher|77.56%/93.64%| 173 | [下载链接](http://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar) | -| ResNet50 | ResNet101 distill | 77.29%/93.65%(+0.79%/+0.65%) | 99 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/ResNet50_distilled.tar) | +| ResNet50 | ResNet101 distill | 77.29%/93.65% (+0.79%/+0.65%) | 99 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/ResNet50_distilled.tar) | !!! note "Note" diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml index 60b122ea9f406dbdcd9595cbb35848344a24f16e..fdebd7284fc7bcc8587d266d68ef1273ae4a5e1d 100644 --- a/docs/mkdocs.yml +++ b/docs/mkdocs.yml @@ -3,6 +3,12 @@ repo_url: https://github.com/PaddlePaddle/PaddleSlim nav: - Home: index.md - 模型库: model_zoo.md +- 教程: + - 离线量化: tutorials/quant_post_demo.md + - 量化训练: tutorials/quant_aware_demo.md + - Embedding量化: tutorials/quant_embedding_demo.md + - SA搜索: tutorials/nas_demo.md + - 知识蒸馏: tutorials/distillation_demo.md - API: - 量化: api/quantization_api.md - 剪枝与敏感度: api/prune_api.md @@ -11,12 +17,6 @@ nav: - SA搜索: api/nas_api.md - 搜索空间: api/search_space.md - 硬件延时评估表: table_latency.md -- 教程: - - 离线量化: tutorials/quant_post_demo.md - - 量化训练: tutorials/quant_aware_demo.md - - Embedding量化: tutorials/quant_embedding_demo.md - - SA搜索: tutorials/nas_demo.md - - 知识蒸馏: tutorials/distillation_demo.md - 算法原理: algo/algo.md theme: