DCU深度学习样例
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# 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

# Compute Vision
## Classification

| 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/Classification) |

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## Detection

| 框架 | 版本 | DCU | 精度 | 多DCU | 代码位置 |
| :----------: | :----------: | :----------: | :----------: | :----------: | :----------: |
| TensorFlow   | v2.7 | Yes | FP32/FP16 | Yes | [YOLO-V3](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/TensorFlow2x/ComputeVision/Detection/YOLOv3) |
| TensorFlow   | v2.7 | Yes | FP32/FP16 | Yes | [Mask-Rcnn](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/TensorFlow2x/ComputeVision/Detection/MaskRCNN) |
| TensorFlow   | v2.7 | Yes | FP32/FP16 | Yes | [SSD](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/TensorFlow2x/ComputeVision/Detection/SSD) |
| PyTorch      | v1.10 | Yes | FP32 | Yes | [Faster-Rcnn](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/PyTorch/Compute-Vision/Objection/Faster-rcnn) |
| PyTorch   | v1.10 | Yes | FP32/FP16 | Yes | [YOLO-V3](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/PyTorch/Compute-Vision/Objection/YOLOv3) |
| PyTorch   | v1.10 | Yes | FP32/FP16 | Yes | [YOLO-V5](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/PyTorch/Compute-Vision/Objection/yolov5) |
| PyTorch      | v1.10 | Yes | FP32/FP16 | Yes | [Mask-Rcnn](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/PyTorch/Compute-Vision/Objection/MaskRCNN/vision) |
| PyTorch      | v1.10 | Yes | FP32/FP16 | Yes | [SSD](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/PyTorch/Compute-Vision/Objection/ssd) |


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## Segmentation

| 框架 | 版本 | DCU | 精度 | 多DCU | 代码位置 |
| :----------: | :----------: | :----------: | :----------: | :----------: | :----------: |
| TensorFlow      | v2.7 | Yes | FP32/FP16 | Yes | [UNet](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/TensorFlow2x/ComputeVision/Segmentation/UNet) |

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# NLP

| 框架 | 版本 |DCU | 精度 | 多DCU | 代码位置 |
| :----------: | :----------: | :----------: | :----------: | :----------: | :----------: |
| TensorFlow      | v1.15 | Yes | FP32/FP16 | Yes | [Bert](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/TensorFlow/NLP/Bert) |
| TensorFlow      | v2.7 | Yes | FP32/FP16 | Yes | [Bert](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/TensorFlow2x/NLP/BERT/official) |
| TensorFlow      | v1.15 | Yes | FP32/FP16 | Yes | [Transformer](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/TensorFlow/NLP/Transformer_mlperf) |
| PyTorch      | v1.10 | Yes | FP32/FP16 | Yes | [Bert](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/PyTorch/NLP/BERT) |
| PyTorch      | v1.10 | Yes | FP32/FP16 | Yes | [GNMT](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/PyTorch/NLP/gnmt) |
| PyTorch      | v1.10 | Yes | FP32/FP16 | Yes | [Transformer](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/PyTorch/NLP/Transformer) |


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## Speech

| 框架 | 版本 | DCU | 精度 | 多DCU | 代码位置 |
| :----------: | :----------: | :----------: | :----------: | :----------: | :----------: |
| PyTorch      | v1.10 | Yes | FP32/FP16 | Yes | [FastPitch](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/PyTorch/Speech/FastPitch) |
| PyTorch      | v1.10 | Yes | FP32/FP16 | Yes | [Tacotron2](http://10.0.100.3/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/PyTorch/Speech/Tacotron2) |


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