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...@@ -5,7 +5,7 @@ DCU深度学习样例 ...@@ -5,7 +5,7 @@ DCU深度学习样例
# 介绍 # 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 # Compute Vision
## Classification ## Classification
...@@ -18,7 +18,7 @@ DCU深度学习样例 ...@@ -18,7 +18,7 @@ DCU深度学习样例
| 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 | 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) | | 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) | | 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> <br>
...@@ -93,10 +93,10 @@ DCU深度学习样例 ...@@ -93,10 +93,10 @@ DCU深度学习样例
## OpenMMlab ## 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) | | 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) |
| 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) | | 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 | v0.16.0 | 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) | | 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) |
| 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) | | 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) |
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