diff --git a/docs/source_en/network_list.md b/docs/source_en/network_list.md index 1dd6b5ec498817e9b65093d03c09ed4b8daca9bb..a8f077d0d796789f48b8a2715af5b52dd73810b4 100644 --- a/docs/source_en/network_list.md +++ b/docs/source_en/network_list.md @@ -32,13 +32,13 @@ ## Pre-trained Models *It refers to the released MindSpore version. The hardware platforms that support model training are CPU, GPU and Ascend. As shown in the table below, ✓ indicates that the pre-trained model run on the selected platform. -Domain | Sub Domain| Network | CPU | GPU | Ascend | 0.5.0-beta* -|:------ |:------ | :------- |:------ |:------ |:----- |:----- -|Computer Vision (CV) | Image Classification| [AlexNet](https://gitee.com/mindspore/mindspore/blob/r0.6/model_zoo/official/cv/alexnet/src/alexnet.py) | | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/cv/alexnet/alexnet_ascend_0.5.0_cifar10_official_classification_20200716.tar.gz) -|Computer Vision (CV) | Image Classification| [LeNet](https://gitee.com/mindspore/mindspore/blob/r0.6/model_zoo/official/cv/lenet/src/lenet.py)| | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/cv/lenet/lenet_ascend_0.5.0_mnist_official_classification_20200716.tar.gz) -|Computer Vision (CV) | Image Classification| [VGG16](https://gitee.com/mindspore/mindspore/blob/r0.6/model_zoo/official/cv/vgg16/src/vgg.py)| | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/cv/vgg/vgg16_ascend_0.5.0_cifar10_official_classification_20200715.tar.gz) -|Computer Vision (CV) | Image Classification| [ResNet-50](https://gitee.com/mindspore/mindspore/blob/r0.6/model_zoo/official/cv/resnet/src/resnet.py) | | | ✓ |[Download](http://download.mindspore.cn/model_zoo/official/cv/resnet/resnet50_v1.5_ascend_0.3.0_cifar10_official_classification_20200718.tar.gz) -|Computer Vision (CV) | Targets Detection| [YoloV3-DarkNet53](https://gitee.com/mindspore/mindspore/tree/r0.6/model_zoo/official/cv/yolov3_darknet53/src/yolo.py) | | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/cv/yolo/yolov3_darknet53_ascend_0.5.0_coco2014_official_object_detection_20200717.tar.gz) -| Natural Language Processing (NLP) | Natural Language Understanding| [BERT_Base](https://gitee.com/mindspore/mindspore/blob/r0.6/model_zoo/official/nlp/bert/src/bert_model.py) | | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/nlp/bert/bert_base_ascend_0.5.0_cn-wiki_official_nlp_20200720.tar.gz) -| Natural Language Processing (NLP) | Natural Language Understanding| [BERT_NEZHA](https://gitee.com/mindspore/mindspore/blob/r0.6/model_zoo/official/nlp/bert/src/bert_model.py)| | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/nlp/bert/bert_nezha_ascend_0.5.0_cn-wiki_official_nlp_20200720.tar.gz) -| Natural Language Processing (NLP) | Natural Language Understanding| [Transformer](https://gitee.com/mindspore/mindspore/blob/r0.6/model_zoo/official/nlp/transformer/src/transformer_model.py)| | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/nlp/transformer/transformer_ascend_0.5.0_wmtende_official_machine_translation_20200713.tar.gz) +Domain | Sub Domain| Network | Dataset | CPU | GPU | Ascend | 0.5.0-beta* +|:------ |:------ | :------- |:------ |:------ |:------ |:----- |:----- +|Computer Vision (CV) | Image Classification| [AlexNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/alexnet/src/alexnet.py) | CIFAR-10| | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/cv/alexnet/alexnet_ascend_0.5.0_cifar10_official_classification_20200716.tar.gz) +|Computer Vision (CV) | Image Classification| [LeNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/lenet/src/lenet.py)| MNIST | | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/cv/lenet/lenet_ascend_0.5.0_mnist_official_classification_20200716.tar.gz) +|Computer Vision (CV) | Image Classification| [VGG16](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/vgg16/src/vgg.py)| CIFAR-10 | | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/cv/vgg/vgg16_ascend_0.5.0_cifar10_official_classification_20200715.tar.gz) +|Computer Vision (CV) | Image Classification| [ResNet-50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet/src/resnet.py) | CIFAR-10| | | ✓ |[Download](http://download.mindspore.cn/model_zoo/official/cv/resnet/resnet50_v1.5_ascend_0.3.0_cifar10_official_classification_20200718.tar.gz) +|Computer Vision (CV) | Targets Detection| [YoloV3-DarkNet53](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/yolov3_darknet53/src/yolo.py) | COCO 2014| | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/cv/yolo/yolov3_darknet53_ascend_0.5.0_coco2014_official_object_detection_20200717.tar.gz) +| Natural Language Processing (NLP) | Natural Language Understanding| [BERT_Base](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/bert/src/bert_model.py) | zhwiki | | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/nlp/bert/bert_base_ascend_0.5.0_cn-wiki_official_nlp_20200720.tar.gz) +| Natural Language Processing (NLP) | Natural Language Understanding| [BERT_NEZHA](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/bert/src/bert_model.py)| zhwiki| | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/nlp/bert/bert_nezha_ascend_0.5.0_cn-wiki_official_nlp_20200720.tar.gz) +| Natural Language Processing (NLP) | Natural Language Understanding| [Transformer](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/transformer/src/transformer_model.py)| WMT English-German| | | ✓ | [Download](http://download.mindspore.cn/model_zoo/official/nlp/transformer/transformer_ascend_0.5.0_wmtende_official_machine_translation_20200713.tar.gz) diff --git a/docs/source_zh_cn/network_list.md b/docs/source_zh_cn/network_list.md index ada8f7749e6b1c74e0e81e704bf33e80edb4072d..06c1a2e34b87b0e6fbb30d4a4d8bb4218b4b4519 100644 --- a/docs/source_zh_cn/network_list.md +++ b/docs/source_zh_cn/network_list.md @@ -33,13 +33,13 @@ ## 预训练模型 *代表MindSpore已发布的版本号,支持网络训练的硬件平台有CPU、GPU和Ascend,以下表格中 ✓ 代表模型是基于选中的硬件平台训练而来。 -| 领域 | 子领域 | 网络 | CPU | GPU | Ascend | 0.5.0-beta* -|:---- |:----- |:---- |:---- |:---- |:---- |:------ -|计算机视觉(CV) | 图像分类(Image Classification) | [AlexNet](https://gitee.com/mindspore/mindspore/blob/r0.6/model_zoo/official/cv/alexnet/src/alexnet.py) | | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/cv/alexnet/alexnet_ascend_0.5.0_cifar10_official_classification_20200716.tar.gz) -|计算机视觉(CV) | 图像分类(Image Classification)| [LeNet](https://gitee.com/mindspore/mindspore/blob/r0.6/model_zoo/official/cv/lenet/src/lenet.py)| | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/cv/lenet/lenet_ascend_0.5.0_mnist_official_classification_20200716.tar.gz) -|计算机视觉(CV) | 图像分类(Image Classification)| [VGG16](https://gitee.com/mindspore/mindspore/blob/r0.6/model_zoo/official/cv/vgg16/src/vgg.py)| | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/cv/vgg/vgg16_ascend_0.5.0_cifar10_official_classification_20200715.tar.gz) -|计算机视觉(CV) | 图像分类(Image Classification)| [ResNet-50](https://gitee.com/mindspore/mindspore/blob/r0.6/model_zoo/official/cv/resnet/src/resnet.py) | | | ✓ |[下载](http://download.mindspore.cn/model_zoo/official/cv/resnet/resnet50_v1.5_ascend_0.3.0_cifar10_official_classification_20200718.tar.gz) -|计算机视觉(CV) | 目标检测(Targets Detection)| [YoloV3-DarkNet53](https://gitee.com/mindspore/mindspore/tree/r0.6/model_zoo/official/cv/yolov3_darknet53) | | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/cv/yolo/yolov3_darknet53_ascend_0.5.0_coco2014_official_object_detection_20200717.tar.gz) -| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding)| [BERT_Base](https://gitee.com/mindspore/mindspore/blob/r0.6/model_zoo/official/nlp/bert/src/bert_model.py) | | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/nlp/bert/bert_base_ascend_0.5.0_cn-wiki_official_nlp_20200720.tar.gz) -| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding)| [BERT_NEZHA](https://gitee.com/mindspore/mindspore/blob/r0.6/model_zoo/official/nlp/bert/src/bert_model.py)| | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/nlp/bert/bert_nezha_ascend_0.5.0_cn-wiki_official_nlp_20200720.tar.gz) -| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding)| [Transformer](https://gitee.com/mindspore/mindspore/blob/r0.6/model_zoo/official/nlp/transformer/src/transformer_model.py)| | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/nlp/transformer/transformer_ascend_0.5.0_wmtende_official_machine_translation_20200713.tar.gz) +| 领域 | 子领域 | 网络 |数据集 | CPU | GPU | Ascend | 0.5.0-beta* +|:---- |:----- |:---- |:---- |:---- |:---- |:---- |:------ +|计算机视觉(CV) | 图像分类(Image Classification) | [AlexNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/alexnet/src/alexnet.py) | CIFAR-10 | | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/cv/alexnet/alexnet_ascend_0.5.0_cifar10_official_classification_20200716.tar.gz) +|计算机视觉(CV) | 图像分类(Image Classification)| [LeNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/lenet/src/lenet.py)| MNIST | | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/cv/lenet/lenet_ascend_0.5.0_mnist_official_classification_20200716.tar.gz) +|计算机视觉(CV) | 图像分类(Image Classification)| [VGG16](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/vgg16/src/vgg.py)|CIFAR-10 | | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/cv/vgg/vgg16_ascend_0.5.0_cifar10_official_classification_20200715.tar.gz) +|计算机视觉(CV) | 图像分类(Image Classification)| [ResNet-50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet/src/resnet.py) |CIFAR-10 | | | ✓ |[下载](http://download.mindspore.cn/model_zoo/official/cv/resnet/resnet50_v1.5_ascend_0.3.0_cifar10_official_classification_20200718.tar.gz) +|计算机视觉(CV) | 目标检测(Targets Detection)| [YoloV3-DarkNet53](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/yolov3_darknet53) |COCO 2014 | | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/cv/yolo/yolov3_darknet53_ascend_0.5.0_coco2014_official_object_detection_20200717.tar.gz) +| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding)| [BERT_Base](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/bert/src/bert_model.py) | zhwiki | | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/nlp/bert/bert_base_ascend_0.5.0_cn-wiki_official_nlp_20200720.tar.gz) +| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding)| [BERT_NEZHA](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/bert/src/bert_model.py)| zhwiki | | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/nlp/bert/bert_nezha_ascend_0.5.0_cn-wiki_official_nlp_20200720.tar.gz) +| 自然语言处理(NLP) | 自然语言理解(Natural Language Understanding)| [Transformer](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/transformer/src/transformer_model.py)|WMT English-German | | | ✓ | [下载](http://download.mindspore.cn/model_zoo/official/nlp/transformer/transformer_ascend_0.5.0_wmtende_official_machine_translation_20200713.tar.gz)