From e82d3cc7ca253cc01adaafab2e05f804e20d253e Mon Sep 17 00:00:00 2001 From: gaowenxiang Date: Mon, 25 Jan 2021 13:23:23 +0800 Subject: [PATCH 1/5] my activity --- activity/ActivityRecord.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/activity/ActivityRecord.md b/activity/ActivityRecord.md index 46fe0eea49..bec61e4f96 100644 --- a/activity/ActivityRecord.md +++ b/activity/ActivityRecord.md @@ -23,7 +23,7 @@ MindSpore团队将持续推出体验项目，以便于用户的快速入门和 | 示例 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103016-1-1.html | 活动简单易懂，对新手小白特别友好，除去网络因素，真正做到了1小时即可入门！| 琦玉 | 1261354409@qq.com | 2021-01-21| | 1 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103124-1-1.html | 1、需按照文档安装python,如果cmd查看版本没问题，无需再配置环境变量2、安装MindSpore可能会报错，原因是网络问题，建议全程网络好一点3、将训练好的模型部署到手机，app安装文件夹可以通过手机的内存设备按时间排序快速查找4、整个过程没有太大问题，最终测试成功还是蛮开心的| 张晓波 | 1920969038@qq.com | 2021-01-22| | 2 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103091-1-1.html | 千万记得把python更新到3.7.5，刚开始忘记了，后来一直报错。还有就是用流量下载pip的内容，超大坑！！| 刘佩 | 547278563@qq.com | 2021-01-25| -| 3 | | | | | | | +| 3 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/forum.php?mod=viewthread&tid=103554 | 1、按照文档操作 2、在执行python train.py时报错了（设备配置不好），修改了错误行数的参数，解决了 3、最终测试成功，感觉很好 | 高文 | wx4gao@163.com | 2021-01-25 | | 4 | | | | | | | | 5 | | | | | | | | 6 | | | | | | | -- Gitee From 7b82a907f5642c8fe534cde5c055f8ab052ce404 Mon Sep 17 00:00:00 2001 From: gggggggggggg <1836605572@qq.com> Date: Tue, 26 Jan 2021 22:00:31 +0800 Subject: [PATCH 2/5] . --- activity/ActivityRecord.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/activity/ActivityRecord.md b/activity/ActivityRecord.md index 7ff52fb8d6..b98e993a30 100644 --- a/activity/ActivityRecord.md +++ b/activity/ActivityRecord.md @@ -30,4 +30,4 @@ MindSpore团队将持续推出体验项目，以便于用户的快速入门和 | 7 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/forum.php?mod=viewthread&tid=103554 | 1、按照文档操作 2、在执行python train.py时报错了（设备配置不好），修改了错误行数的参数，解决了 3、最终测试成功，感觉很好 | 高文 | wx4gao@163.com | 2021-01-25 | | 8 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103095-1-1.html | 文档很好，非常给力。 | 刘炳成 | xjtlbc@163.com | 2021-01-22 | | 9 |1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103299-1-1.html | 体验很有趣，可以把AI模型部署到手机上，让AI走进生活中，给自己的猫猫进行识别！而且是用华为自己的MindSpore来做的，MindSpore加油！| JinhengZhang | 931136898@qq.com | 2021-01-23| -| 10 |1小时入门AI开发工程师 |https://bbs.huaweicloud.com/forum/thread-103198-1-1.html | 受限于硬件环境和创作条件，没能 1 小时体验完毕，除去其他干扰，可能半小时能完成，当然知识点很丰富，值得深入学习！| 胡琦 | huqi@gpdi.com | 2021-01-23| +| 10 |1小时入门AI开发工程师 |https://bbs.huaweicloud.com/forum/thread-103198-1-1.html | 受限于硬件环境和创作条件，没能 1 小时体验完毕，除去其他干扰，可能半小时能完成，当然知识点很丰富，值得深入学习！| 胡琦 | huqi@gpdi.com | 2021-01-23| \ No newline at end of file -- Gitee From 0e6d735433771fd8294dc41e5e1ac888441957eb Mon Sep 17 00:00:00 2001 From: anchor Date: Tue, 26 Jan 2021 22:39:30 +0800 Subject: [PATCH 3/5] commit test --- activity/ActivityRecord.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/activity/ActivityRecord.md b/activity/ActivityRecord.md index b98e993a30..4cd5247f9e 100644 --- a/activity/ActivityRecord.md +++ b/activity/ActivityRecord.md @@ -30,4 +30,4 @@ MindSpore团队将持续推出体验项目，以便于用户的快速入门和 | 7 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/forum.php?mod=viewthread&tid=103554 | 1、按照文档操作 2、在执行python train.py时报错了（设备配置不好），修改了错误行数的参数，解决了 3、最终测试成功，感觉很好 | 高文 | wx4gao@163.com | 2021-01-25 | | 8 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103095-1-1.html | 文档很好，非常给力。 | 刘炳成 | xjtlbc@163.com | 2021-01-22 | | 9 |1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103299-1-1.html | 体验很有趣，可以把AI模型部署到手机上，让AI走进生活中，给自己的猫猫进行识别！而且是用华为自己的MindSpore来做的，MindSpore加油！| JinhengZhang | 931136898@qq.com | 2021-01-23| -| 10 |1小时入门AI开发工程师 |https://bbs.huaweicloud.com/forum/thread-103198-1-1.html | 受限于硬件环境和创作条件，没能 1 小时体验完毕，除去其他干扰，可能半小时能完成，当然知识点很丰富，值得深入学习！| 胡琦 | huqi@gpdi.com | 2021-01-23| \ No newline at end of file +| 10 |1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103198-1-1.html | 受限于硬件环境和创作条件，没能 1 小时体验完毕，除去其他干扰，可能半小时能完成，当然知识点很丰富，值得深入学习！| 胡琦 | huqi@gpdi.com | 2021-01-23| \ No newline at end of file -- Gitee From 8a0e14dc8331ecb8d29b8cdaf0c91a2e49c79d66 Mon Sep 17 00:00:00 2001 From: jiangzhenguang Date: Mon, 25 Jan 2021 13:59:46 +0800 Subject: [PATCH 4/5] add mish selu and molnonan --- docs/api_python/source_en/mindspore/operations.rst | 3 +++ docs/api_python/source_zh_cn/mindspore/operations.rst | 3 +++ 2 files changed, 6 insertions(+) diff --git a/docs/api_python/source_en/mindspore/operations.rst b/docs/api_python/source_en/mindspore/operations.rst index 0f4e81b296..fdc161a2dc 100644 --- a/docs/api_python/source_en/mindspore/operations.rst +++ b/docs/api_python/source_en/mindspore/operations.rst @@ -68,6 +68,7 @@ Neural Network Operators mindspore.ops.MaxPool mindspore.ops.MaxPoolWithArgmax mindspore.ops.MirrorPad + mindspore.ops.Mish mindspore.ops.NLLLoss mindspore.ops.OneHot mindspore.ops.Pack @@ -79,6 +80,7 @@ Neural Network Operators mindspore.ops.ResizeBilinear mindspore.ops.RNNTLoss mindspore.ops.ROIAlign + mindspore.ops.SeLU mindspore.ops.SGD mindspore.ops.Sigmoid mindspore.ops.SigmoidCrossEntropyWithLogits @@ -160,6 +162,7 @@ Math Operators mindspore.ops.Minimum mindspore.ops.Mod mindspore.ops.Mul + mindspore.ops.MulNoNan mindspore.ops.Neg mindspore.ops.NMSWithMask mindspore.ops.NotEqual diff --git a/docs/api_python/source_zh_cn/mindspore/operations.rst b/docs/api_python/source_zh_cn/mindspore/operations.rst index 0f4e81b296..fdc161a2dc 100644 --- a/docs/api_python/source_zh_cn/mindspore/operations.rst +++ b/docs/api_python/source_zh_cn/mindspore/operations.rst @@ -68,6 +68,7 @@ Neural Network Operators mindspore.ops.MaxPool mindspore.ops.MaxPoolWithArgmax mindspore.ops.MirrorPad + mindspore.ops.Mish mindspore.ops.NLLLoss mindspore.ops.OneHot mindspore.ops.Pack @@ -79,6 +80,7 @@ Neural Network Operators mindspore.ops.ResizeBilinear mindspore.ops.RNNTLoss mindspore.ops.ROIAlign + mindspore.ops.SeLU mindspore.ops.SGD mindspore.ops.Sigmoid mindspore.ops.SigmoidCrossEntropyWithLogits @@ -160,6 +162,7 @@ Math Operators mindspore.ops.Minimum mindspore.ops.Mod mindspore.ops.Mul + mindspore.ops.MulNoNan mindspore.ops.Neg mindspore.ops.NMSWithMask mindspore.ops.NotEqual -- Gitee From 7d78d91d2473eb4d388aca1ed2a65c2bc7cef81a Mon Sep 17 00:00:00 2001 From: anchor Date: Tue, 26 Jan 2021 22:50:20 +0800 Subject: [PATCH 5/5] parent 8a0e14dc8331ecb8d29b8cdaf0c91a2e49c79d66 author anchor 1611672620 +0800 committer anchor 1611672620 +0800 MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 'test' modify code formats for master fix links for docker installation. update activity/ActivityRecord.md. update activity/ActivityRecord.md. 增加体验记录 by huyulei update activity/ActivityRecord.md. lbc_me_1 add reference link update network list ms . commit test --- activity/ActivityRecord.md | 16 ++-- docs/note/source_en/network_list_ms.md | 76 +++++++++---------- docs/note/source_zh_cn/network_list_ms.md | 76 +++++++++---------- install/mindspore_cpu_install_docker.md | 2 +- install/mindspore_gpu_install_docker.md | 2 +- .../mindspore_linear_regression.ipynb | 2 +- .../mindspore_operators.ipynb | 6 +- .../achieve_high_order_differentiation.md | 6 +- .../quick_start/linear_regression.ipynb | 2 +- 9 files changed, 94 insertions(+), 94 deletions(-) diff --git a/activity/ActivityRecord.md b/activity/ActivityRecord.md index bec61e4f96..7647aec7ca 100644 --- a/activity/ActivityRecord.md +++ b/activity/ActivityRecord.md @@ -23,11 +23,11 @@ MindSpore团队将持续推出体验项目，以便于用户的快速入门和 | 示例 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103016-1-1.html | 活动简单易懂，对新手小白特别友好，除去网络因素，真正做到了1小时即可入门！| 琦玉 | 1261354409@qq.com | 2021-01-21| | 1 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103124-1-1.html | 1、需按照文档安装python,如果cmd查看版本没问题，无需再配置环境变量2、安装MindSpore可能会报错，原因是网络问题，建议全程网络好一点3、将训练好的模型部署到手机，app安装文件夹可以通过手机的内存设备按时间排序快速查找4、整个过程没有太大问题，最终测试成功还是蛮开心的| 张晓波 | 1920969038@qq.com | 2021-01-22| | 2 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103091-1-1.html | 千万记得把python更新到3.7.5，刚开始忘记了，后来一直报错。还有就是用流量下载pip的内容，超大坑！！| 刘佩 | 547278563@qq.com | 2021-01-25| -| 3 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/forum.php?mod=viewthread&tid=103554 | 1、按照文档操作 2、在执行python train.py时报错了（设备配置不好），修改了错误行数的参数，解决了 3、最终测试成功，感觉很好 | 高文 | wx4gao@163.com | 2021-01-25 | -| 4 | | | | | | | -| 5 | | | | | | | -| 6 | | | | | | | -| 7 | | | | | | | -| 8 | | | | | | | -| 9 | | | | | | | -| 10 | | | | | | | \ No newline at end of file +| 3 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103090-1-1.html | 文档很详细！| DevFeng | 523339263@qq.com | 2021-01-25| +| 4 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103162-1-1.html | 根据文档可以顺利完成，Python版本不一致可配置双版本环境，不必卸载旧版，只需要把原来的版本python.exe重命名即可;提示pip版本可升级时忽略即可，不需要update| 黄雅杰 | 344399145@qq.com | 2021-01-25| +| 5 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103385-1-1.html |活动教程整体还是很容易理解才很好操作，教程的平台采用Windows也照顾到了很多初学者可能不怎么会用Linux。教程中如果能加上提醒Linux环境的用户可以在python train.py后面加上--dataset_path指定一下数据目录的话就完美很多了（不然的话会报路径错误）当然更完美一点的话可以写一下linux下如何编译convert（可以是一个链接），不然的话还需要找个windows平台进行转换模型.总体来说通过猫狗识别实现1小时入门AI这个教程还是蛮有意思的。 | 丁一超 | JeffDing890430@163.com | 2021-01-24 | +| 6 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103213-1-1.html | 1小时即可入门,简单便捷，感谢版主| 多米诺的古牌 | 845053993@qq.com | 2021-01-25| +| 7 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/forum.php?mod=viewthread&tid=103554 | 1、按照文档操作 2、在执行python train.py时报错了（设备配置不好），修改了错误行数的参数，解决了 3、最终测试成功，感觉很好 | 高文 | wx4gao@163.com | 2021-01-25 | +| 8 | 1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103095-1-1.html | 文档很好，非常给力。 | 刘炳成 | xjtlbc@163.com | 2021-01-22 | +| 9 |1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103299-1-1.html | 体验很有趣，可以把AI模型部署到手机上，让AI走进生活中，给自己的猫猫进行识别！而且是用华为自己的MindSpore来做的，MindSpore加油！| JinhengZhang | 931136898@qq.com | 2021-01-23| +| 10 |1小时入门AI开发工程师 | https://bbs.huaweicloud.com/forum/thread-103198-1-1.html | 受限于硬件环境和创作条件，没能 1 小时体验完毕，除去其他干扰，可能半小时能完成，当然知识点很丰富，值得深入学习！| 胡琦 | huqi@gpdi.com | 2021-01-23| \ No newline at end of file diff --git a/docs/note/source_en/network_list_ms.md b/docs/note/source_en/network_list_ms.md index 86c7884735..06788130dd 100644 --- a/docs/note/source_en/network_list_ms.md +++ b/docs/note/source_en/network_list_ms.md @@ -18,57 +18,57 @@ | Domain | Sub Domain | Network | Ascend (Graph) | Ascend (PyNative) | GPU (Graph) | GPU (PyNative) | CPU (Graph) | CPU (PyNative) |:------ |:------| :----------- |:------ |:------ |:------ |:------ |:----- |:----- |Computer Vision (CV) | Image Classification | [AlexNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/alexnet/src/alexnet.py) | Supported | Supported | Supported | Supported | Doing | Doing -| Computer Vision (CV) | Image Classification | [GoogleNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/googlenet/src/googlenet.py) | Supported | Supported | Supported | Supported | Doing | Doing -| Computer Vision (CV) | Image Classification | [LeNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/lenet/src/lenet.py) | Supported | Supported | Supported | Supported | Supported | Supported -| Computer Vision (CV) | Image Classification | [LeNet (Quantization)](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/lenet_quant/src/lenet_fusion.py) | Supported | Doing | Supported | Doing | Doing | Doing -| Computer Vision (CV) | Image Classification | [ResNet-50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet/src/resnet.py) | Supported | Supported | Supported | Supported | Supported | Doing -| Computer Vision (CV) | Image Classification | [ResNet-50 (Quantization)](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet50_quant/models/resnet_quant.py) | Supported | Doing | Doing | Doing | Doing | Doing -|Computer Vision (CV) | Image Classification | [ResNet-101](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet/src/resnet.py) | Supported | Supported | Supported | Supported | Doing | Doing -|Computer Vision (CV) | Image Classification | [SE-ResNet50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet/src/resnet.py) | Supported | Supported | Doing | Doing | Doing | Doing -|Computer Vision (CV) | Image Classification | [ResNext50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnext50/src/image_classification.py) | Supported | Doing | Supported | Supported | Doing | Doing -| Computer Vision (CV) | Image Classification | [VGG16](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/vgg16/src/vgg.py) | Supported | Supported | Supported | Supported | Doing | Doing +| Computer Vision (CV) | Image Classification | [CNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/cnn_direction_model/src/cnn_direction_model.py) | Supported | Doing | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Image Classification | [DenseNet121](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/densenet121/src/network/densenet.py) | Supported | Supported | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Image Classification | [EfficientNet-B0](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/efficientnet/src/efficientnet.py) | Doing | Doing | Supported | Supported | Doing | Doing +| Computer Vision (CV) | Image Classification | [GoogLeNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/googlenet/src/googlenet.py) | Supported | Supported | Supported | Supported | Doing | Doing | Computer Vision (CV) | Image Classification | [InceptionV3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/inceptionv3/src/inception_v3.py) | Supported | Doing | Doing | Doing | Doing | Doing | Computer Vision (CV) | Image Classification | [InceptionV4](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/inceptionv4/src/inceptionv4.py) | Supported | Doing | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Image Classification | [Xception](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/xception/src/Xception.py) | Supported | Doing | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Image Classification | [DenseNet121](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/densenet121/src/network/densenet.py) | Supported | Supported | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Image Classification | [LeNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/lenet/src/lenet.py) | Supported | Supported | Supported | Supported | Supported | Supported +| Computer Vision (CV) | Image Classification | [LeNet (Quantization)](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/lenet_quant/src/lenet_fusion.py) | Supported | Doing | Supported | Doing | Doing | Doing | Computer Vision (CV) | Image Classification | [MobileNetV1](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/mobilenetv1/src/mobilenet_v1.py) | Supported | Doing | Doing | Doing | Doing | Doing | Computer Vision (CV) | Image Classification | [MobileNetV2](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/mobilenetv2/src/mobilenetV2.py) | Supported | Supported | Supported | Supported | Supported | Doing | Computer Vision (CV) | Image Classification | [MobileNetV2 (Quantization)](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/mobilenetv2_quant/src/mobilenetV2.py) | Supported | Doing | Supported | Doing | Doing | Doing | Computer Vision (CV) | Image Classification | [MobileNetV3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/mobilenetv3/src/mobilenetV3.py) | Doing | Doing | Supported | Supported | Doing | Doing -| Computer Vision (CV) | Image Classification | [Shufflenetv1](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/shufflenetv1/src/shufflenetv1.py) | Supported | Doing | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Image Classification | [NASNET](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/nasnet/src/nasnet_a_mobile.py) | Doing | Doing | Supported | Supported | Doing | Doing +| Computer Vision (CV) | Image Classification | [NASNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/nasnet/src/nasnet_a_mobile.py) | Doing | Doing | Supported | Supported | Doing | Doing +| Computer Vision (CV) | Image Classification | [ResNet-50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet/src/resnet.py) | Supported | Supported | Supported | Supported | Supported | Doing +| Computer Vision (CV) | Image Classification | [ResNet-50 (Quantization)](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet50_quant/models/resnet_quant.py) | Supported | Doing | Doing | Doing | Doing | Doing +|Computer Vision (CV) | Image Classification | [ResNet-101](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet/src/resnet.py) | Supported | Supported | Supported | Supported | Doing | Doing +|Computer Vision (CV) | Image Classification | [ResNeXt50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnext50/src/image_classification.py) | Supported | Doing | Supported | Supported | Doing | Doing +|Computer Vision (CV) | Image Classification | [SE-ResNet50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet/src/resnet.py) | Supported | Supported | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Image Classification | [ShuffleNetV1](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/shufflenetv1/src/shufflenetv1.py) | Supported | Doing | Doing | Doing | Doing | Doing | Computer Vision (CV) | Image Classification | [ShuffleNetV2](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/shufflenetv2/src/shufflenetv2.py) | Doing | Doing | Supported | Supported | Doing | Doing -| Computer Vision (CV) | Image Classification | [EfficientNet-B0](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/efficientnet/src/efficientnet.py) | Doing | Doing | Supported | Supported | Doing | Doing -| Computer Vision (CV) | Image Classification | [Tiny-Darknet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/tinydarknet/src/tinydarknet.py) | Supported | Doing | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Image Classification | [CNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/cnn_direction_model/src/cnn_direction_model.py) | Supported | Doing | Doing | Doing | Doing | Doing | Computer Vision (CV) | Image Classification | [SqueezeNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/squeezenet/src/squeezenet.py) | Supported | Doing | Doing | Doing | Doing | Doing -|Computer Vision (CV) | Object Detection | [SSD](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/ssd/src/ssd.py) | Supported | Doing | Supported | Supported | Supported | Doing -| Computer Vision (CV) | Object Detection | [YoloV3-ResNet18](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov3_resnet18/src/yolov3.py) | Supported | Doing | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Object Detection | [YoloV3-DarkNet53](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov3_darknet53/src/yolo.py) | Supported | Supported | Supported | Supported | Doing | Doing -| Computer Vision (CV) | Object Detection | [YoloV3-DarkNet53 (Quantization)](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov3_darknet53_quant/src/darknet.py) | Supported | Doing | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Object Detection | [FasterRCNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/faster_rcnn/src/FasterRcnn/faster_rcnn_r50.py) | Supported | Doing | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Object Detection | [MaskRCNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/maskrcnn/src/maskrcnn/mask_rcnn_r50.py) | Supported | Supported | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Object Detection | [WarpCTC](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/warpctc/src/warpctc.py) | Supported | Doing | Supported | Doing | Doing | Doing -| Computer Vision (CV) | Object Detection | [Retinaface-ResNet50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/retinaface_resnet50/src/network.py) | Doing | Doing | Supported | Supported | Doing | Doing +| Computer Vision (CV) | Image Classification | [Tiny-DarkNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/tinydarknet/src/tinydarknet.py) | Supported | Doing | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Image Classification | [VGG16](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/vgg16/src/vgg.py) | Supported | Supported | Supported | Supported | Doing | Doing +| Computer Vision (CV) | Image Classification | [Xception](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/xception/src/Xception.py) | Supported | Doing | Doing | Doing | Doing | Doing | Computer Vision (CV) | Object Detection | [CenterFace](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/centerface/src/centerface.py) | Supported | Doing | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Object Detection | [MaskRCNN-MobileNetV1](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/maskrcnn_mobilenetv1/src/maskrcnn_mobilenetv1/mobilenetv1.py) | Supported | Doing | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Object Detection | [Faster R-CNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/faster_rcnn/src/FasterRcnn/faster_rcnn_r50.py) | Supported | Doing | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Object Detection | [Mask R-CNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/maskrcnn/src/maskrcnn/mask_rcnn_r50.py) | Supported | Supported | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Object Detection | [Mask R-CNN (MobileNetV1)](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/maskrcnn_mobilenetv1/src/maskrcnn_mobilenetv1/mobilenetv1.py) | Supported | Doing | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Object Detection | [RetinaFace-ResNet50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/retinaface_resnet50/src/network.py) | Doing | Doing | Supported | Supported | Doing | Doing +|Computer Vision (CV) | Object Detection | [SSD](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/ssd/src/ssd.py) | Supported | Doing | Supported | Supported | Supported | Doing | Computer Vision (CV) | Object Detection | [SSD-MobileNetV1-FPN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/ssd/src/mobilenet_v1_fpn.py) | Supported | Doing | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Object Detection | [YoloV4](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov4/src/yolo.py) | Supported | Doing | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Text Detection | [PSENet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/psenet/src/ETSNET/etsnet.py) | Supported | Supported | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Object Detection | [WarpCTC](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/warpctc/src/warpctc.py) | Supported | Doing | Supported | Doing | Doing | Doing +| Computer Vision (CV) | Object Detection | [YOLOv3-ResNet18](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov3_resnet18/src/yolov3.py) | Supported | Doing | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Object Detection | [YOLOv3-DarkNet53](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov3_darknet53/src/yolo.py) | Supported | Supported | Supported | Supported | Doing | Doing +| Computer Vision (CV) | Object Detection | [YOLOv3-DarkNet53 (Quantization)](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov3_darknet53_quant/src/darknet.py) | Supported | Doing | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Object Detection | [YOLOv4](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov4/src/yolo.py) | Supported | Doing | Doing | Doing | Doing | Doing | Computer Vision (CV) | Text Detection | [DeepText](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/deeptext/src/Deeptext/deeptext_vgg16.py) | Supported | Doing | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Text Recognition | [CNNCTC](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/cnnctc/src/cnn_ctc.py) | Supported | Supported | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Semantic Segmentation | [DeeplabV3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/deeplabv3/src/nets/deeplab_v3/deeplab_v3.py) | Supported | Doing | Doing | Doing | Supported | Doing -| Computer Vision (CV) | Semantic Segmentation | [UNet2D-Medical](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/unet/src/unet/unet_model.py) | Supported | Doing | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Keypoint Detection | [Openpose](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/openpose/src/openposenet.py) | Supported | Doing | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Text Detection | [PSENet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/psenet/src/ETSNET/etsnet.py) | Supported | Supported | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Text Recognition | [CNN+CTC](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/cnnctc/src/cnn_ctc.py) | Supported | Supported | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Semantic Segmentation | [DeepLabV3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/deeplabv3/src/nets/deeplab_v3/deeplab_v3.py) | Supported | Doing | Doing | Doing | Supported | Doing +| Computer Vision (CV) | Semantic Segmentation | [U-Net2D (Medical)](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/unet/src/unet/unet_model.py) | Supported | Doing | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Keypoint Detection | [OpenPose](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/openpose/src/openposenet.py) | Supported | Doing | Doing | Doing | Doing | Doing | Computer Vision (CV) | Keypoint Detection | [SimplePoseNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/simple_pose/src/model.py) | Supported | Doing | Doing | Doing | Doing | Doing | Computer Vision (CV) | Optical Character Recognition | [CRNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/crnn/src/crnn.py) | Supported | Doing | Doing | Doing | Doing | Doing | Natural Language Processing (NLP) | Natural Language Understanding | [BERT](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/bert/src/bert_model.py) | Supported | Supported | Supported | Supported | Doing | Doing -| Natural Language Processing (NLP) | Natural Language Understanding | [Transformer](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/transformer/src/transformer_model.py) | Supported | Supported | Supported | Supported | Doing | Doing -| Natural Language Processing (NLP) | Natural Language Understanding | [SentimentNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/lstm/src/lstm.py) | Supported | Doing | Supported | Supported | Supported | Supported -| Natural Language Processing (NLP) | Natural Language Understanding | [MASS](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/mass/src/transformer/transformer_for_train.py) | Supported | Supported | Supported | Supported | Doing | Doing -| Natural Language Processing (NLP) | Natural Language Understanding | [TinyBert](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/tinybert/src/tinybert_model.py) | Supported | Supported | Supported | Doing | Doing | Doing -| Natural Language Processing (NLP) | Natural Language Understanding | [GNMT v2](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/gnmt_v2/src/gnmt_model/gnmt.py) | Supported | Doing | Doing | Doing | Doing | Doing | Natural Language Processing (NLP) | Natural Language Understanding | [FastText](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/fasttext/src/fasttext_model.py) | Supported | Doing | Doing | Doing | Doing | Doing +| Natural Language Processing (NLP) | Natural Language Understanding | [GNMT v2](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/gnmt_v2/src/gnmt_model/gnmt.py) | Supported | Doing | Doing | Doing | Doing | Doing +| Natural Language Processing (NLP) | Natural Language Understanding | [MASS](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/mass/src/transformer/transformer_for_train.py) | Supported | Supported | Supported | Supported | Doing | Doing +| Natural Language Processing (NLP) | Natural Language Understanding | [SentimentNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/lstm/src/lstm.py) | Supported | Doing | Supported | Supported | Supported | Supported +| Natural Language Processing (NLP) | Natural Language Understanding | [Transformer](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/transformer/src/transformer_model.py) | Supported | Supported | Supported | Supported | Doing | Doing +| Natural Language Processing (NLP) | Natural Language Understanding | [TinyBERT](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/tinybert/src/tinybert_model.py) | Supported | Supported | Supported | Doing | Doing | Doing | Natural Language Processing (NLP) | Natural Language Understanding | [TextCNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/textcnn/src/textcnn.py) | Supported | Doing | Doing | Doing | Doing | Doing | Recommender | Recommender System, CTR prediction | [DeepFM](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/recommend/deepfm/src/deepfm.py) | Supported | Supported | Supported | Supported | Supported | Doing | Recommender | Recommender System, Search, Ranking | [Wide&Deep](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/recommend/wide_and_deep/src/wide_and_deep.py) | Supported | Supported | Supported | Supported | Doing | Doing @@ -82,10 +82,10 @@ | Domain | Sub Domain | Network | Ascend (Graph) | Ascend (PyNative) | GPU (Graph) | GPU (PyNative)| CPU (Graph) | CPU (PyNative) |:------ |:------| :----------- |:------ |:------ |:------ |:------ |:----- |:----- | Computer Vision (CV) | Image Classification | [FaceAttributes](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/FaceAttribute/src/FaceAttribute/resnet18.py) | Supported | Supported | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Object Detection | [FaceDetection](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/FaceDetection/src/FaceDetection/yolov3.py) | Supported | Doing | Doing | Doing | Doing | Doing | Computer Vision (CV) | Image Classification | [FaceQualityAssessment](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/FaceQualityAssessment/src/face_qa.py) | Supported | Supported | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Image Classification | [FaceRecognitionForTracking](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/FaceRecognitionForTracking/src/reid.py) | Supported | Doing | Doing | Doing | Doing | Doing | Computer Vision (CV) | Image Classification | [FaceRecognition](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/FaceRecognition/src/init_network.py) | Supported | Doing | Doing | Doing | Doing | Doing -| Computer Vision (CV) | Object Detection | [FaceDetection](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/FaceDetection/src/FaceDetection/yolov3.py) | Supported | Doing | Doing | Doing | Doing | Doing +| Computer Vision (CV) | Image Classification | [FaceRecognitionForTracking](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/FaceRecognitionForTracking/src/reid.py) | Supported | Doing | Doing | Doing | Doing | Doing | Computer Vision (CV) | Object Detection | [SSD-GhostNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/ssd_ghostnet/src/ssd_ghostnet.py) | Supported | Doing | Doing | Doing | Doing | Doing | Computer Vision (CV) | Key Point Detection | [CenterNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/centernet/src/centernet_pose.py) | Supported | Doing | Doing | Doing | Supported | Doing | Computer Vision (CV) | Image Style Transfer | [CycleGAN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/cycle_gan/src/models/cycle_gan.py) | Doing | Doing | Doing | Supported | Supported | Doing diff --git a/docs/note/source_zh_cn/network_list_ms.md b/docs/note/source_zh_cn/network_list_ms.md index c317bfc283..213e940a3f 100644 --- a/docs/note/source_zh_cn/network_list_ms.md +++ b/docs/note/source_zh_cn/network_list_ms.md @@ -18,57 +18,57 @@ | 领域 | 子领域 | 网络 | Ascend（Graph） | Ascend（PyNative） | GPU（Graph） | GPU（PyNative） | CPU（Graph） | CPU（PyNative） |:---- |:------- |:---- |:---- |:---- |:---- |:---- |:---- |:---- |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) | Supported | Supported | Supported | Supported | Doing | Doing -| 计算机视觉（CV） | 图像分类（Image Classification） | [GoogleNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/googlenet/src/googlenet.py) | Supported | Supported | Supported | Supported | Doing | Doing -| 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) | Supported | Supported | Supported | Supported | Supported | Supported -| 计算机视觉（CV） | 图像分类（Image Classification） | [LeNet（量化）](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/lenet_quant/src/lenet_fusion.py) | Supported | Doing | Supported | Doing | Doing | Doing -| 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) | Supported | Supported | Supported | Supported | Doing | Doing -| 计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-50（量化）](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet50_quant/models/resnet_quant.py) | Supported | Doing | Doing | Doing | Doing | Doing -|计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-101](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet/src/resnet.py) | Supported | Supported | Supported | Supported | Supported | Doing -|计算机视觉（CV） | 图像分类（Image Classification） | [SE-ResNet50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet/src/resnet.py) | Supported | Supported | Doing | Doing | Doing | Doing -|计算机视觉（CV） | 图像分类（Image Classification） | [ResNext50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnext50/src/image_classification.py) | Supported | Doing | Supported | Supported | Doing | Doing -| 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) | Supported | Supported | Supported | Supported | Doing | Doing +| 计算机视觉（CV） | 图像分类（Image Classification） | [CNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/cnn_direction_model/src/cnn_direction_model.py) | Supported | Doing | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 图像分类（Image Classification） | [DenseNet121](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/densenet121/src/network/densenet.py) | Supported | Supported | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 图像分类（Image Classification） | [EfficientNet-B0](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/efficientnet/src/efficientnet.py) | Doing | Doing | Supported | Supported | Doing | Doing +| 计算机视觉（CV） | 图像分类（Image Classification） | [GoogLeNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/googlenet/src/googlenet.py) | Supported | Supported | Supported | Supported | Doing | Doing | 计算机视觉（CV） | 图像分类（Image Classification） | [InceptionV3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/inceptionv3/src/inception_v3.py) | Supported | Doing | Doing | Doing | Doing | Doing | 计算机视觉（CV） | 图像分类（Image Classification） | [InceptionV4](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/inceptionv4/src/inceptionv4.py) | Supported | Doing | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 图像分类（Image Classification） | [Xception](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/xception/src/Xception.py) | Supported | Doing | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 图像分类（Image Classification） | [DenseNet121](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/densenet121/src/network/densenet.py) | Supported | Supported | Doing | Doing | Doing | Doing +| 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) | Supported | Supported | Supported | Supported | Supported | Supported +| 计算机视觉（CV） | 图像分类（Image Classification） | [LeNet（量化）](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/lenet_quant/src/lenet_fusion.py) | Supported | Doing | Supported | Doing | Doing | Doing | 计算机视觉（CV） | 图像分类（Image Classification） | [MobileNetV1](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/mobilenetv1/src/mobilenet_v1.py) | Supported | Doing | Doing | Doing | Doing | Doing | 计算机视觉（CV） | 图像分类（Image Classification） | [MobileNetV2](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/mobilenetv2/src/mobilenetV2.py) | Supported | Supported | Supported | Supported | Supported | Doing | 计算机视觉（CV） | 图像分类（Image Classification） | [MobileNetV2（量化）](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/mobilenetv2_quant/src/mobilenetV2.py) | Supported | Doing | Supported | Doing | Doing | Doing | 计算机视觉（CV） | 图像分类（Image Classification） | [MobileNetV3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/mobilenetv3/src/mobilenetV3.py) | Doing | Doing | Supported | Supported | Doing | Doing -| 计算机视觉（CV） | 图像分类（Image Classification） | [Shufflenetv1](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/shufflenetv1/src/shufflenetv1.py) | Supported | Doing | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 图像分类（Image Classification） | [NASNET](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/nasnet/src/nasnet_a_mobile.py) | Doing | Doing | Supported | Supported | Doing | Doing +| 计算机视觉（CV） | 图像分类（Image Classification） | [NASNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/nasnet/src/nasnet_a_mobile.py) | Doing | Doing | Supported | Supported | Doing | Doing +| 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) | Supported | Supported | Supported | Supported | Supported | Doing +| 计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-50（量化）](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet50_quant/models/resnet_quant.py) | Supported | Doing | Doing | Doing | Doing | Doing +|计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-101](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet/src/resnet.py) | Supported | Supported | Supported | Supported | Doing | Doing +|计算机视觉（CV） | 图像分类（Image Classification） | [ResNeXt50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnext50/src/image_classification.py) | Supported | Doing | Supported | Supported | Doing | Doing +|计算机视觉（CV） | 图像分类（Image Classification） | [SE-ResNet50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet/src/resnet.py) | Supported | Supported | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 图像分类（Image Classification） | [ShuffleNetV1](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/shufflenetv1/src/shufflenetv1.py) | Supported | Doing | Doing | Doing | Doing | Doing | 计算机视觉（CV） | 图像分类（Image Classification） | [ShuffleNetV2](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/shufflenetv2/src/shufflenetv2.py) | Doing | Doing | Supported | Supported | Doing | Doing -| 计算机视觉（CV） | 图像分类（Image Classification） | [EfficientNet-B0](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/efficientnet/src/efficientnet.py) | Doing | Doing | Supported | Supported | Doing | Doing -| 计算机视觉（CV） | 图像分类（Image Classification） | [Tiny-Darknet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/tinydarknet/src/tinydarknet.py) | Supported | Doing | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 图像分类（Image Classification） | [CNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/cnn_direction_model/src/cnn_direction_model.py) | Supported | Doing | Doing | Doing | Doing | Doing | 计算机视觉（CV） | 图像分类（Image Classification） |[SqueezeNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/squeezenet/src/squeezenet.py) | Supported | Doing | Doing | Doing | Doing | Doing -|计算机视觉（CV） | 目标检测（Object Detection） | [SSD](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/ssd/src/ssd.py) | Supported | Doing |Supported |Supported | Supported | Doing -| 计算机视觉（CV） | 目标检测（Object Detection） | [YoloV3-ResNet18](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov3_resnet18/src/yolov3.py) | Supported | Doing | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 目标检测（Object Detection） | [YoloV3-DarkNet53](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov3_darknet53/src/yolo.py) | Supported | Supported | Supported | Supported | Doing | Doing -| 计算机视觉（CV） | 目标检测（Object Detection） | [YoloV3-DarkNet53（量化）](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov3_darknet53_quant/src/darknet.py) | Supported | Doing | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 目标检测（Object Detection） | [FasterRCNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/faster_rcnn/src/FasterRcnn/faster_rcnn_r50.py) | Supported | Doing | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 目标检测（Object Detection） | [MaskRCNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/maskrcnn/src/maskrcnn/mask_rcnn_r50.py) | Supported | Supported | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 目标检测（Object Detection） | [WarpCTC](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/warpctc/src/warpctc.py) | Supported | Doing | Supported | Doing | Doing | Doing -| 计算机视觉（CV） | 目标检测（Object Detection） | [Retinaface-ResNet50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/retinaface_resnet50/src/network.py) | Doing | Doing | Supported | Supported | Doing | Doing +| 计算机视觉（CV） | 图像分类（Image Classification） | [Tiny-DarkNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/tinydarknet/src/tinydarknet.py) | Supported | Doing | Doing | Doing | Doing | Doing +| 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) | Supported | Supported | Supported | Supported | Doing | Doing +| 计算机视觉（CV） | 图像分类（Image Classification） | [Xception](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/xception/src/Xception.py) | Supported | Doing | Doing | Doing | Doing | Doing | 计算机视觉（CV） | 目标检测（Object Detection） | [CenterFace](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/centerface/src/centerface.py) | Supported | Doing | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 目标检测（Object Detection） |[MaskRCNN-MobileNetV1](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/maskrcnn_mobilenetv1/src/maskrcnn_mobilenetv1/mobilenetv1.py) | Supported | Doing | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 目标检测（Object Detection） | [Faster R-CNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/faster_rcnn/src/FasterRcnn/faster_rcnn_r50.py) | Supported | Doing | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 目标检测（Object Detection） | [Mask R-CNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/maskrcnn/src/maskrcnn/mask_rcnn_r50.py) | Supported | Supported | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 目标检测（Object Detection） |[Mask R-CNN (MobileNetV1)](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/maskrcnn_mobilenetv1/src/maskrcnn_mobilenetv1/mobilenetv1.py) | Supported | Doing | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 目标检测（Object Detection） | [RetinaFace-ResNet50](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/retinaface_resnet50/src/network.py) | Doing | Doing | Supported | Supported | Doing | Doing +|计算机视觉（CV） | 目标检测（Object Detection） | [SSD](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/ssd/src/ssd.py) | Supported | Doing |Supported |Supported | Supported | Doing | 计算机视觉（CV） | 目标检测（Object Detection） |[SSD-MobileNetV1-FPN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/ssd/src/mobilenet_v1_fpn.py) | Supported | Doing | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 目标检测（Object Detection） |[YoloV4](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov4/src/yolo.py) | Supported | Doing | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 文本检测（Text Detection） | [PSENet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/psenet/src/ETSNET/etsnet.py) | Supported | Supported | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 目标检测（Object Detection） | [WarpCTC](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/warpctc/src/warpctc.py) | Supported | Doing | Supported | Doing | Doing | Doing +| 计算机视觉（CV） | 目标检测（Object Detection） | [YOLOv3-ResNet18](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov3_resnet18/src/yolov3.py) | Supported | Doing | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 目标检测（Object Detection） | [YOLOv3-DarkNet53](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov3_darknet53/src/yolo.py) | Supported | Supported | Supported | Supported | Doing | Doing +| 计算机视觉（CV） | 目标检测（Object Detection） | [YOLOv3-DarkNet53（量化）](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov3_darknet53_quant/src/darknet.py) | Supported | Doing | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 目标检测（Object Detection） |[YOLOv4](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/yolov4/src/yolo.py) | Supported | Doing | Doing | Doing | Doing | Doing | 计算机视觉（CV） | 文本检测（Text Detection） | [DeepText](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/deeptext/src/Deeptext/deeptext_vgg16.py) | Supported | Doing | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 文本识别（Text Recognition） | [CNNCTC](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/cnnctc/src/cnn_ctc.py) | Supported | Supported | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [DeeplabV3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/deeplabv3/src/nets/deeplab_v3/deeplab_v3.py) | Supported | Doing | Doing | Doing | Supported | Doing -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [UNet2D-Medical](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/unet/src/unet/unet_model.py) | Supported | Doing | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 关键点检测（Keypoint Detection） |[Openpose](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/openpose/src/openposenet.py) | Supported | Doing | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 文本检测（Text Detection） | [PSENet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/psenet/src/ETSNET/etsnet.py) | Supported | Supported | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 文本识别（Text Recognition） | [CNN+CTC](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/cnnctc/src/cnn_ctc.py) | Supported | Supported | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [DeepLabV3](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/deeplabv3/src/nets/deeplab_v3/deeplab_v3.py) | Supported | Doing | Doing | Doing | Supported | Doing +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [U-Net2D (Medical)](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/unet/src/unet/unet_model.py) | Supported | Doing | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 关键点检测（Keypoint Detection） |[OpenPose](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/openpose/src/openposenet.py) | Supported | Doing | Doing | Doing | Doing | Doing | 计算机视觉（CV） | 关键点检测（Keypoint Detection） |[SimplePoseNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/simple_pose/src/model.py) | Supported | Doing | Doing | Doing | Doing | Doing | 计算机视觉（CV） | 光学字符识别（Optical Character Recognition） |[CRNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/crnn/src/crnn.py) | Supported | Doing | Doing | Doing | Doing | Doing | 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [BERT](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/bert/src/bert_model.py) | Supported | Supported | Supported | Supported | Doing | Doing -| 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) | Supported | Supported | Supported | Supported | Doing | Doing -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [SentimentNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/lstm/src/lstm.py) | Supported | Doing | Supported | Supported | Supported | Supported -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [MASS](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/mass/src/transformer/transformer_for_train.py) | Supported | Supported | Supported | Supported | Doing | Doing -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [TinyBert](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/tinybert/src/tinybert_model.py) | Supported | Supported | Supported | Doing | Doing | Doing -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [GNMT v2](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/gnmt_v2/src/gnmt_model/gnmt.py) | Supported | Doing | Doing | Doing | Doing | Doing | 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [FastText](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/fasttext/src/fasttext_model.py) | Supported | Doing | Doing | Doing | Doing | Doing +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [GNMT v2](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/gnmt_v2/src/gnmt_model/gnmt.py) | Supported | Doing | Doing | Doing | Doing | Doing +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [MASS](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/mass/src/transformer/transformer_for_train.py) | Supported | Supported | Supported | Supported | Doing | Doing +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [SentimentNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/lstm/src/lstm.py) | Supported | Doing | Supported | Supported | Supported | Supported +| 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) | Supported | Supported | Supported | Supported | Doing | Doing +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [TinyBERT](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/tinybert/src/tinybert_model.py) | Supported | Supported | Supported | Doing | Doing | Doing | 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [TextCNN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/nlp/textcnn/src/textcnn.py) | Supported | Doing | Doing | Doing | Doing | Doing | 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction） | [DeepFM](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/recommend/deepfm/src/deepfm.py) | Supported | Supported | Supported | Supported| Supported | Doing | 推荐（Recommender） | 推荐系统、搜索、排序（Recommender System, Search, Ranking） | [Wide&Deep](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/recommend/wide_and_deep/src/wide_and_deep.py) | Supported | Supported | Supported | Supported | Doing | Doing @@ -82,10 +82,10 @@ | 领域 | 子领域 | 网络 | Ascend（Graph） | Ascend（PyNative） | GPU（Graph） | GPU（PyNative） | CPU（Graph） | CPU（PyNative） |:---- |:------- |:---- |:---- |:---- |:---- |:---- |:---- |:---- | 计算机视觉（CV） | 图像分类（Image Classification） |[FaceAttributes](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/FaceAttribute/src/FaceAttribute/resnet18.py) | Supported | Supported | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 目标检测（Object Detection） | [FaceDetection](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/FaceDetection/src/FaceDetection/yolov3.py) | Supported | Doing | Doing | Doing | Doing | Doing | 计算机视觉（CV） | 图像分类（Image Classification） |[FaceQualityAssessment](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/FaceQualityAssessment/src/face_qa.py) | Supported | Supported | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 图像分类（Image Classification） |[FaceRecognitionForTracking](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/FaceRecognitionForTracking/src/reid.py) | Supported | Doing | Doing | Doing | Doing | Doing | 计算机视觉（CV） | 图像分类（Image Classification） |[FaceRecognition](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/FaceRecognition/src/init_network.py) | Supported | Doing | Doing | Doing | Doing | Doing -| 计算机视觉（CV） | 目标检测（Object Detection） | [FaceDetection](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/FaceDetection/src/FaceDetection/yolov3.py) | Supported | Doing | Doing | Doing | Doing | Doing +| 计算机视觉（CV） | 图像分类（Image Classification） |[FaceRecognitionForTracking](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/FaceRecognitionForTracking/src/reid.py) | Supported | Doing | Doing | Doing | Doing | Doing | 计算机视觉（CV） | 目标检测（Object Detection） | [SSD-GhostNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/ssd_ghostnet/src/ssd_ghostnet.py) | Supported | Doing | Doing | Doing | Doing | Doing | 计算机视觉（CV） | 关键点检测（Key Point Detection） | [CenterNet](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/centernet/src/centernet_pose.py) | Supported | Doing | Doing | Doing | Supported | Doing | 计算机视觉（CV） | 图像风格迁移（Image Style Transfer） | [CycleGAN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/cycle_gan/src/models/cycle_gan.py) | Doing | Doing | Doing | Supported | Supported | Doing diff --git a/install/mindspore_cpu_install_docker.md b/install/mindspore_cpu_install_docker.md index 95b3e952a1..170cc8ead9 100644 --- a/install/mindspore_cpu_install_docker.md +++ b/install/mindspore_cpu_install_docker.md @@ -102,4 +102,4 @@ docker run -it swr.cn-south-1.myhuaweicloud.com/mindspore/mindspore-cpu:{tag} /b 进入[MindSpore安装指南页面](https://www.mindspore.cn/install)，选择CPU硬件平台、Ubuntu-x86操作系统和Source的安装方式，获得安装指南。运行容器后，下载MindSpore代码仓并参考安装指南，通过源码编译方式安装MindSpore CPU版本，并进行验证。 -如果您想了解更多关于MindSpore Docker镜像的构建过程，请查看[docker repo](https://gitee.com/mindspore/mindspore/tree/master/docker/README.md)了解详细信息。 +如果您想了解更多关于MindSpore Docker镜像的构建过程，请查看[docker repo](https://gitee.com/mindspore/mindspore/blob/master/docker/README.md)了解详细信息。 diff --git a/install/mindspore_gpu_install_docker.md b/install/mindspore_gpu_install_docker.md index e6e8568228..84d75ab30d 100644 --- a/install/mindspore_gpu_install_docker.md +++ b/install/mindspore_gpu_install_docker.md @@ -142,4 +142,4 @@ docker run -it -v /dev/shm:/dev/shm --runtime=nvidia --privileged=true swr.cn-so 进入[MindSpore安装指南页面](https://www.mindspore.cn/install)，选择GPU硬件平台、Ubuntu-x86操作系统和Source的安装方式，获得安装指南。运行容器后，下载MindSpore代码仓并参考安装指南，通过源码编译方式安装MindSpore GPU版本，并进行验证。 -如果您想了解更多关于MindSpore Docker镜像的构建过程，请查看[docker repo](https://gitee.com/mindspore/mindspore/tree/master/docker/README.md)了解详细信息。 +如果您想了解更多关于MindSpore Docker镜像的构建过程，请查看[docker repo](https://gitee.com/mindspore/mindspore/blob/master/docker/README.md)了解详细信息。 diff --git a/tutorials/notebook/mindspore_linear_regression.ipynb b/tutorials/notebook/mindspore_linear_regression.ipynb index 29ffd50103..a6ed73f444 100644 --- a/tutorials/notebook/mindspore_linear_regression.ipynb +++ b/tutorials/notebook/mindspore_linear_regression.ipynb @@ -361,7 +361,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "接下来需要定义模型的损失函数，这里采用均方误差（MSE，Mean Squared Error）的方法用于判断拟合的效果如何，即均方误差值越小，拟合的效果越好，其损失损失函数公式为：\n", + "接下来需要定义模型的损失函数，这里采用均方误差（MSE，Mean Squared Error）的方法用于判断拟合的效果如何，即均方误差值越小，拟合的效果越好，其损失函数公式为：\n", "\n", "$$J(w)=\\frac{1}{2m}\\sum_{i=1}^m(h(x_i)-y^{(i)})^2\\tag{2}$$\n", "\n", diff --git a/tutorials/notebook/programming_guide/mindspore_operators.ipynb b/tutorials/notebook/programming_guide/mindspore_operators.ipynb index 3614642935..acbae87be4 100644 --- a/tutorials/notebook/programming_guide/mindspore_operators.ipynb +++ b/tutorials/notebook/programming_guide/mindspore_operators.ipynb @@ -1432,7 +1432,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "[[ 0.5 0.5 -inf 0.6931472 ]\n", + "[[-1. 0.25 0. 0.40546513]\n", " [-1. 0.25 0. 0.40546513]]\n" ] } @@ -1442,8 +1442,8 @@ "import mindspore.ops as ops\n", "import mindspore\n", "\n", - "anchor_box = Tensor([[4,1,2,1],[2,2,2,3]],mindspore.float32)\n", - "groundtruth_box = Tensor([[3,1,2,2],[1,2,1,4]],mindspore.float32)\n", + "anchor_box = Tensor([[2,2,2,3],[2,2,2,3]],mindspore.float32)\n", + "groundtruth_box = Tensor([[1,2,1,4],[1,2,1,4]],mindspore.float32)\n", "boundingbox_encode = ops.BoundingBoxEncode(means=(0.0, 0.0, 0.0, 0.0), stds=(1.0, 1.0, 1.0, 1.0))\n", "res = boundingbox_encode(anchor_box, groundtruth_box)\n", "print(res)" diff --git a/tutorials/training/source_zh_cn/advanced_use/achieve_high_order_differentiation.md b/tutorials/training/source_zh_cn/advanced_use/achieve_high_order_differentiation.md index 12aea5049c..6af93a610e 100755 --- a/tutorials/training/source_zh_cn/advanced_use/achieve_high_order_differentiation.md +++ b/tutorials/training/source_zh_cn/advanced_use/achieve_high_order_differentiation.md @@ -385,8 +385,8 @@ Ascend支持算子：[Pow](https://www.mindspore.cn/doc/api_python/zh-CN/master/ ## 引用 -[1] Zhang L, Han J, Wang H, et al. Deep potential molecular dynamics: a scalable model with the accuracy of quantum mechanics[J]. Physical review letters, 2018, 120(14): 143001. +[1] Zhang L, Han J, Wang H, et al. [Deep potential molecular dynamics: a scalable model with the accuracy of quantum mechanics[J]](https://arxiv.org/pdf/1707.09571v2.pdf). Physical review letters, 2018, 120(14): 143001. -[2] Raissi M, Perdikaris P, Karniadakis G E. Physics informed deep learning (part i): Data-driven solutions of nonlinear partial differential equations[J]. arXiv preprint arXiv:1711.10561, 2017. +[2] Raissi M, Perdikaris P, Karniadakis G E. [Physics informed deep learning (part i): Data-driven solutions of nonlinear partial differential equations[J]](https://arxiv.org/pdf/1711.10561.pdf). arXiv preprint arXiv:1711.10561, 2017. -[3] Baydin A G, Pearlmutter B A, Radul A A, et al. Automatic differentiation in machine learning: a survey[J]. The Journal of Machine Learning Research, 2017, 18(1): 5595-5637. +[3] Baydin A G, Pearlmutter B A, Radul A A, et al. [Automatic differentiation in machine learning: a survey[J]](https://jmlr.org/papers/volume18/17-468/17-468.pdf). The Journal of Machine Learning Research, 2017, 18(1): 5595-5637. diff --git a/tutorials/training/source_zh_cn/quick_start/linear_regression.ipynb b/tutorials/training/source_zh_cn/quick_start/linear_regression.ipynb index eccf64504a..e9df6abc63 100644 --- a/tutorials/training/source_zh_cn/quick_start/linear_regression.ipynb +++ b/tutorials/training/source_zh_cn/quick_start/linear_regression.ipynb @@ -372,7 +372,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "接下来需要定义模型的损失函数，这里采用均方误差（MSE，Mean Squared Error）的方法用于判断拟合的效果如何，即均方误差值越小，拟合的效果越好，其损失损失函数公式为：\n", + "接下来需要定义模型的损失函数，这里采用均方误差（MSE，Mean Squared Error）的方法用于判断拟合的效果如何，即均方误差值越小，拟合的效果越好，其损失函数公式为：\n", "\n", "$$J(w)=\\frac{1}{2m}\\sum_{i=1}^m(h(x_i)-y^{(i)})^2\\tag{2}$$\n", "\n", -- Gitee