From a252772145e4d5304415a4c01e274025ba6633bd Mon Sep 17 00:00:00 2001 From: wuweikang Date: Thu, 24 Sep 2020 15:19:17 +0800 Subject: [PATCH] update release info for 1.0.0 --- RELEASE.md | 37 ++++++++++++++++++++----------------- 1 file changed, 20 insertions(+), 17 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index 0a59d4de26..923e5310b7 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -4,13 +4,11 @@ ### MindSpore Training and Inference Framework #### Ascend 910 * 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. - * 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. * Frontend and user interface * 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 * 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. @@ -23,10 +21,7 @@ #### Other Hardware Support * 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 20% improvement on training time compared to SGD with Momentum (Resnet50 @ImageNet). -* CPU platform - * ... + * Enable second-order optimization for resnet50 on GPU, which achieve 30% improvement on training time compared to SGD with Momentum (Resnet50 @ImageNet). #### User interfaces change log * 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)) @@ -50,6 +45,9 @@ * delete DataWrapper([!6101](https://gitee.com/mindspore/mindspore/pulls/6101)) * 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)) +* 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)) * 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)) @@ -79,21 +77,26 @@ ## Bugfixes * 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 * 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)) * Executor - * Bugfix 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)) - * Bugfix 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)) - * Bugfix unnecessary address binding issues in GPU heterogeneous scenarios.([!6232](https://gitee.com/mindspore/mindspore/pulls/6232)) + * fix pynative mode to build temporary nn objects.（[!6189](https://gitee.com/mindspore/mindspore/pulls/6189)) + * fix the accuracy problem of multiple inputs of multi-card communication operator broadcast.([!6522](https://gitee.com/mindspore/mindspore/pulls/5622)) + * fix the problem that the sample distribution interface categorical does not support graph mode.([!5772](https://gitee.com/mindspore/mindspore/pulls/5772)) + * fix the random seed failure problem of the polynomial downsampling distribution operator.([!5948](https://gitee.com/mindspore/mindspore/pulls/5948)) + * fix unnecessary address binding issues in GPU heterogeneous scenarios.([!6232](https://gitee.com/mindspore/mindspore/pulls/6232)) * GPU platform - * Bugfix 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)) - * Bugfix for the memory leak in the sparse slicer([!5578](https://gitee.com/mindspore/mindspore/pulls/5578)) -* Data processing and Pro - * ... + * fix for kernel resource leak([!5315](https://gitee.com/mindspore/mindspore/pulls/5315)) + * fix for insufficient memory for continuous unit test running([!5617](https://gitee.com/mindspore/mindspore/pulls/5617)) + * fix for the memory leak in the sparse slicer([!5578](https://gitee.com/mindspore/mindspore/pulls/5578)) +* 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 Thanks goes to these wonderful people: