update release info for 1.0.0

pull/6833/head
wuweikang 4 years ago
parent 55be3c42a5
commit a252772145

@ -4,13 +4,11 @@
### MindSpore Training and Inference Framework ### MindSpore Training and Inference Framework
#### Ascend 910 #### Ascend 910
* New models * New models
* Mask-RCNN: a simple and flexible deep neural network for object instance segmentation on COCO 2014 dataset.
* DenseNet121: a dense convolutional neural network, which connects each layer to every other layer in a feed-forward fashion for object recognition on ImageNet dataset. * DenseNet121: a dense convolutional neural network, which connects each layer to every other layer in a feed-forward fashion for object recognition on ImageNet dataset.
* PSENet: accurately detect arbitrary shape text instances and get better results on CTW1500, full text, ICDAR 2015, and ICDAR 2017 MLT datasets.
* UNet2D-Medical: Unet Medical model for 2D image segmentation, Convolutional Networks for Biomedical Image Segmentation on ISBI Challenge database. * UNet2D-Medical: Unet Medical model for 2D image segmentation, Convolutional Networks for Biomedical Image Segmentation on ISBI Challenge database.
* Frontend and user interface * Frontend and user interface
* Second-Order Optimization * Second-Order Optimization
* Enable second-order optimization for Bert on Ascend 910, which can achieve a masked lm accuracy of 71.3% in 1000 seconds using 8 Ascend 910 (Bert-Large @MLPerf v0.7 dataset). * Enable second-order optimization for Bert on Ascend 910, which can achieve a masked lm accuracy of 71.3% in 800 seconds using 8 Ascend 910 (Bert-Large @MLPerf v0.7 dataset).
* New GNN model BGCF * New GNN model BGCF
* Bayesian Graph Convolutional Filtering network which naturally incorporate the uncertainty in the user-item interaction graph shows excellent recommendation performance on Amazon-Beauty dataset. * Bayesian Graph Convolutional Filtering network which naturally incorporate the uncertainty in the user-item interaction graph shows excellent recommendation performance on Amazon-Beauty dataset.
* Add append interface for SequentialCell. * Add append interface for SequentialCell.
@ -23,10 +21,7 @@
#### Other Hardware Support #### Other Hardware Support
* GPU platform * GPU platform
* New model supported: TinyBert, ShuffleNet, YoloV3-DarkNet53, EfficientNet-B0, NASNet-Mobile and Transformer. * Enable second-order optimization for resnet50 on GPU, which achieve 30% improvement on training time compared to SGD with Momentum (Resnet50 @ImageNet).
* Enable second-order optimization for resnet50 on GPU, which achieve 20% improvement on training time compared to SGD with Momentum (Resnet50 @ImageNet).
* CPU platform
* ...
#### User interfaces change log #### User interfaces change log
* Remove global object GradOperation in Autodiff([!5011](https://gitee.com/mindspore/mindspore/pulls/5011)) * Remove global object GradOperation in Autodiff([!5011](https://gitee.com/mindspore/mindspore/pulls/5011))
* Remove useless attribute 'name' in Autodiff([!5172](https://gitee.com/mindspore/mindspore/pulls/5172)) * Remove useless attribute 'name' in Autodiff([!5172](https://gitee.com/mindspore/mindspore/pulls/5172))
@ -50,6 +45,9 @@
* delete DataWrapper([!6101](https://gitee.com/mindspore/mindspore/pulls/6101)) * delete DataWrapper([!6101](https://gitee.com/mindspore/mindspore/pulls/6101))
* LSTM API optimization([!6374](https://gitee.com/mindspore/mindspore/pulls/6374)) * LSTM API optimization([!6374](https://gitee.com/mindspore/mindspore/pulls/6374))
* Merge P\C\F of ops([!5645](https://gitee.com/mindspore/mindspore/pulls/5645)) * Merge P\C\F of ops([!5645](https://gitee.com/mindspore/mindspore/pulls/5645))
* delete SoftmaxCrossEntropyExpand interface([!6607](https://gitee.com/mindspore/mindspore/pulls/6607))
* Adjust GroupNorm interface([!6329](https://gitee.com/mindspore/mindspore/pulls/6329))
* Modify init interface to internal interface([!6651](https://gitee.com/mindspore/mindspore/pulls/6651))
* Log optimization([!5842](https://gitee.com/mindspore/mindspore/pulls/5842)) * Log optimization([!5842](https://gitee.com/mindspore/mindspore/pulls/5842))
* Remove useless API dataset.set_dataset_size[!5806](https://gitee.com/mindspore/mindspore/pulls/5806)) * Remove useless API dataset.set_dataset_size[!5806](https://gitee.com/mindspore/mindspore/pulls/5806))
* Some of Dataset API add usage parameter[!5605](https://gitee.com/mindspore/mindspore/pulls/5605)) * Some of Dataset API add usage parameter[!5605](https://gitee.com/mindspore/mindspore/pulls/5605))
@ -79,21 +77,26 @@
## Bugfixes ## Bugfixes
* Models * Models
* fix the constant folding problem in multiply.([!6092](https://gitee.com/mindspore/mindspore/pulls/6092))
* move batch_size from bert_net_cfg to cfg in bert scripts.([!6233](https://gitee.com/mindspore/mindspore/pulls/6233))
* modify the checkpoint file path.([!6137](https://gitee.com/mindspore/mindspore/pulls/6137))
* Python API * Python API
* fix semi auto parallel parameter of reshape has another user([!5722](https://gitee.com/mindspore/mindspore/pulls/5722)) * fix semi auto parallel parameter of reshape has another user([!5722](https://gitee.com/mindspore/mindspore/pulls/5722))
* raise ValueError when call hook function in graph mode([!5831](https://gitee.com/mindspore/mindspore/pulls/5831)) * raise ValueError when call hook function in graph mode([!5831](https://gitee.com/mindspore/mindspore/pulls/5831))
* Executor * Executor
* Bugfix pynative mode to build temporary nn objects.[!6189](https://gitee.com/mindspore/mindspore/pulls/6189)) * fix pynative mode to build temporary nn objects.[!6189](https://gitee.com/mindspore/mindspore/pulls/6189))
* Bugfix the accuracy problem of multiple inputs of multi-card communication operator broadcast.([!6522](https://gitee.com/mindspore/mindspore/pulls/5622)) * fix the accuracy problem of multiple inputs of multi-card communication operator broadcast.([!6522](https://gitee.com/mindspore/mindspore/pulls/5622))
* Bugfix the problem that the sample distribution interface categorical does not support graph mode.([!5772](https://gitee.com/mindspore/mindspore/pulls/5772)) * fix the problem that the sample distribution interface categorical does not support graph mode.([!5772](https://gitee.com/mindspore/mindspore/pulls/5772))
* Bugfix the random seed failure problem of the polynomial downsampling distribution operator.([!5948](https://gitee.com/mindspore/mindspore/pulls/5948)) * fix the random seed failure problem of the polynomial downsampling distribution operator.([!5948](https://gitee.com/mindspore/mindspore/pulls/5948))
* Bugfix unnecessary address binding issues in GPU heterogeneous scenarios.([!6232](https://gitee.com/mindspore/mindspore/pulls/6232)) * fix unnecessary address binding issues in GPU heterogeneous scenarios.([!6232](https://gitee.com/mindspore/mindspore/pulls/6232))
* GPU platform * GPU platform
* Bugfix for kernel resource leak([!5315](https://gitee.com/mindspore/mindspore/pulls/5315)) * fix for kernel resource leak([!5315](https://gitee.com/mindspore/mindspore/pulls/5315))
* Bugfix for insufficient memory for continuous unit test running([!5617](https://gitee.com/mindspore/mindspore/pulls/5617)) * fix for insufficient memory for continuous unit test running([!5617](https://gitee.com/mindspore/mindspore/pulls/5617))
* Bugfix for the memory leak in the sparse slicer([!5578](https://gitee.com/mindspore/mindspore/pulls/5578)) * fix for the memory leak in the sparse slicer([!5578](https://gitee.com/mindspore/mindspore/pulls/5578))
* Data processing and Pro * Data processing
* ... * fix hang when use pyfunc([!6346](https://gitee.com/mindspore/mindspore/pulls/6346))
* fix GPU device queue does not release GIL during resource clean up([!5964](https://gitee.com/mindspore/mindspore/pulls/5964))
* fix hang if scripte exit unnormally([!6441](https://gitee.com/mindspore/mindspore/pulls/6441))
## Contributors ## Contributors
Thanks goes to these wonderful people: Thanks goes to these wonderful people:

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