Merge branch 'sun_22.10' into 'main'

Sun 22.10

See merge request dcutoolkit/deeplearing/dlexamples_new!52

PyTorch/Recommendation/dlrm/input/dist_emb_0.log

+1, 2, 3, 4, 5, 6
+0, 1, 3, 4, 5
+0.55, 0.64, 0.82, 0.91, 1.0

PyTorch/Recommendation/dlrm/input/dist_emb_1.log

+1, 2, 3, 4, 5, 6
+0, 1, 3, 4, 5
+0.55, 0.64, 0.82, 0.91, 1.0

PyTorch/Recommendation/dlrm/input/dist_emb_2.log

+1, 2, 3, 4, 5, 6
+0, 1, 3, 4, 5
+0.55, 0.64, 0.82, 0.91, 1.0

PyTorch/Recommendation/dlrm/input/trace.log

+1, 2, 3, 4, 5, 3, 4, 1, 1, 6, 3

README.md

@@ -5,17 +5,21 @@ DCU深度学习样例
 
 
 # 介绍
-基于PyTorch和TensorFlow深度学习框架在各个领域的常用测试样例
+基于PyTorch和TensorFlow、Keras等深度学习框架在各个领域的常用测试样例.
 
 # Compute Vision
 ## Classification
 
-| 框架 | 版本 | DCU | 精度 | 多DCU | 支持网络 | 代码位置
+| 框架 | 版本 | DCU | 精度 | 多DCU | 支持网络 | 代码位置|
 | :----------: | :----------: | :----------: | :----------: | :----------: | :----------: | :----------: |
+| TensorFlow   | v1.15 | Yes | FP32/FP16 | Yes | ResNet50/VGG16/Inception-V3/MobileNet-V2 | [classfication](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/TensorFlow/ComputeVision/Classification) |
+| TensorFlow   | v2.7 | Yes | FP32/FP16 | Yes | ResNet50/VGG16/Inception-V3 | [classfication](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/TensorFlow2x/Classification) |
+| PyTorch      | v1.10 | Yes | FP32/FP16 | Yes | ResNet50/Vgg16/Inception-V3/MobileNet-V2 | [classfication](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/PyTorch/Compute-Vision/Accuracy_Validation/ResNet50) |
 | TensorFlow   | v1.15 | Yes | FP32/FP16 | Yes | ResNet50/VGG16/Inception-V3/MobileNet-V2 | [classfication](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/TensorFlow/ComputeVision/Classification) |
 | TensorFlow   | v2.7 | Yes | FP32/FP16 | Yes | ResNet50/VGG16/Inception-V3 | [classfication](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/TensorFlow2x/Classification) |
 | PyTorch      | v1.10 | Yes | FP32/FP16 | Yes | ResNet50/Vgg16/Inception-V3/MobileNet-V2 | [classfication](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/PyTorch/Compute-Vision/Accuracy_Validation/ResNet50) |
-| keras        | v2.9  | Yes | FP32 | Yes | Densenet121/Efficientnetv2s/ResNet101/DarkNet53/RegNetX064/resnet50v2 | [classfication](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/blob/main/Keras/keras-cv/examples/training/classification/imagenet) |
+| Keras       | v2.9  | Yes | FP32 | Yes | Densenet121/Efficientnetv2s/ResNet101/DarkNet53/RegNetX064/resnet50v2 | [classfication](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/blob/main/Keras/keras-cv/examples/training/classification/imagenet) |
+
 
 <br>
 
@@ -89,10 +93,10 @@ DCU深度学习样例
 
 ## OpenMMlab
 
-| 类别 | 版本 | DCU | 精度 | 多DCU | 支持网络 | 代码位置
+| 类别 | 版本 | DCU | 精度 | 多DCU | 支持网络 | 代码位置|
 | :----------: | :----------: | :----------: | :----------: | :----------: | :----------: | :----------: |
-| mmcls   | v0.12.0 | Yes | FP32/FP16 | Yes | ResNet18/ResNet34/ResNet50/ResNet152/Vgg11/SeresNet50/ResNext50/MobileNet-v2/ShuffleNet-v1/ShuffleNet-v2 | [mmclassfication](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/openmmlab_test/mmclassification-speed-benchmark) |
-| mmdet   | v2.13.0 | Yes | FP32/FP16 | Yes | Faster-Rcnn/Mask-Rcnn/Double-Heads/Cascade-Mask-Rcnn/ResNest/Dcn/RetinaNet/VfNet/Ssd/Yolov3 | [mmdetection](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/openmmlab_test/mmdetection-speed_xinpian) |
-| mmpose      | v0.16.0 | Yes | FP32/FP16 | Yes | ResNet50-Top-Down/ResNet50-Bottom-Up/HrNet-Top-Down | [mmpose](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/openmmlab_test/mmpose-speed_test) |
-| mmseg      | v0.21.1 | Yes | FP32/FP16 | Yes | PspNet-R50/DeepLab-V3-R50/Fcn-R50/UperNet-R50/DeepLab-V3plus-R50 | [mmsegmentation](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/openmmlab_test/mmsegmentation) |
+| mmclassification | v0.24.0 | Yes | FP32/FP16 | Yes | ResNet18/ResNet34/ResNet50/ResNet152/Vgg11/SeresNet50/ResNext50/MobileNet-v2/ShuffleNet-v1/ShuffleNet-v2 | [mmclassfication](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/openmmlab_test/mmclassification-speed-benchmark) |
+| mmdetection | v2.25.2 | Yes | FP32/FP16 | Yes | Faster-Rcnn/Mask-Rcnn/Double-Heads/Cascade-Mask-Rcnn/ResNest/Dcn/RetinaNet/VfNet/Ssd/Yolov3 | [mmdetection](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/openmmlab_test/mmdetection-speed_xinpian) |
+| mmpose | v0.28.1 | Yes | FP32/FP16 | Yes | ResNet50-Top-Down/ResNet50-Bottom-Up/HrNet-Top-Down | [mmpose](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/openmmlab_test/mmpose-speed_test) |
+| mmsegmentation | v0.29.1 | Yes | FP32/FP16 | Yes | PspNet-R50/DeepLab-V3-R50/Fcn-R50/UperNet-R50/DeepLab-V3plus-R50 | [mmsegmentation](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/openmmlab_test/mmsegmentation) |
 

openmmlab_test/mmdetection-2.25.2/train.md

@@ -41,7 +41,7 @@ pip3 install opencv-python
 pip3 install torch-1.10.0a0+git2040069.dtk2210-cp37-cp37m-manylinux2014_x86_64.whl -i https://pypi.tuna.tsinghua.edu.cn/simple
 pip3 install torchvision-0.10.0a0+e04d001.dtk2210-cp37-cp37m-manylinux2014_x86_64.whl -i https://pypi.tuna.tsinghua.edu.cn/simple
 pip3 install mmcv_full-1.6.1+gitdebbc80.dtk2210-cp37-cp37m-manylinux2014_x86_64.whl -i https://pypi.tuna.tsinghua.edu.cn/simple
-mmcls 安装：
+mmdet 安装：
 cd mmdetection-2.25.2
 pip3 install -e .