- MindSpore-tsc - mailweb.mindspore.cn

MindSpore TSC meeting 2021 Feb 18
by Liu Yedong 17 Feb '21

17 Feb '21

Dear TSC Members, This is a kind reminder for our upcoming MindSpore TSC Monthly meeting on 2021 Feb 18 16:00 (UTC+08:00). This TSC meeting takes place on the first day after the Chinese New Year, we review on a minor release of MindSpore version 1.1.1, and a new SIG group. We use WeLink-Zoom for this month's meeting. Click https://welink-meeting.zoom.us/j/448774327 then follow the instruction to download Zoom (if you haven’t installed) and join the meeting. You can also join the meeting by meeting ID 448774327 The calendar invitation has been updated as well. Thanks, Yedong

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MindSpore TSC meeting 2021 Jan 21
by Liu Yedong 20 Jan '21

20 Jan '21

Dear TSC Members, This is a kind reminder for our upcoming MindSpore TSC Monthly meeting on 2021 Jan 21th 16:00 (UTC+08:00). We review the first calendar year of MindSpore, discuss new SIGs/WGs and the 1.1.0 version. We use WeLink-Zoom for this month's meeting. Click https://welink-meeting.zoom.us/j/543118603 <https://www.google.com/url?q=https://zoom.us/j/96044179444?pwd%3DRmg5cWRFc0…> then follow the instruction to download Zoom (if you haven’t installed) and join the meeting. You can also join the meeting by meeting ID 543118603 The calendar invitation has been updated as well. Thanks, Yedong

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MindSpore TSC meeting Dec 17
by Liu Yedong 16 Dec '20

16 Dec '20

Dear TSC Members, This is a kind reminder for our upcoming MindSpore TSC Monthly meeting on Dec 17th 16:00 (UTC+08:00). We review the release plan of MindSpore v 1.1.0 , discuss a new SIG and MindCon competition. We use WeLink-Zoom for this month's meeting. Click https://welink-meeting.zoom.us/j/209041120 <https://www.google.com/url?q=https://zoom.us/j/96044179444?pwd%3DRmg5cWRFc0…> then follow the instruction to download Zoom (if you haven’t installed) and join the meeting. You can also join the meeting by meeting ID 209 041 120 The calendar invitation has been updated as well. Thanks, Yedong

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MindSpore TSC Monthly Meeting
by Liu Yedong 18 Nov '20

18 Nov '20

Dear TSC Members, This is a kind reminder for our upcoming MindSpore TSC Monthly meeting on Nov 19th 16:00 (UTC+08:00). Zhipeng cannot attend this meeting ,so Yedong Liu will be the host this time. In this month, we have a minor release of v1.0.1 version , a new SIG and complete 21-days online tutorial. We use WeLink-Zoom meeting for this month's meeting. Click https://welink-meeting.zoom.us/j/850801418 <https://www.google.com/url?q=https://welink-meeting.zoom.us/j/850801418&sa=…> then follow the instruction to download Zoom (if you haven’t installed) and join the meeting. You can also join the meeting by meeting ID 850801418 The calendar invitation has been updated as well. Thanks, Yedong

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邀请：MindSpore Monthly TSC Meeting (EU-Asia Friendly) @ 2020年11月19日 (周四) 16:00 - 18:00 (CST) (mindspore-tsc@mindspore.cn)
by liuyedong1992＠gmail.com 16 Nov '20

16 Nov '20

您受邀参加以下活动。标题： MindSpore Monthly TSC Meeting (EU-Asia Friendly) Please use ZOOM for Nov 19's meeting:Join Zoom Meeting:https://welink-meeting.zoom.us/j/850801418Meeting ID: 850 801 418Password: Agenda:Sent out to TSC mainling list (mindspore-tsc) before meeting 时间： 2020年11月19日 (周四) 16:00 – 18:00 中国标准时间 - 上海日历： mindspore-tsc(a)mindspore.cn 参与者： * liuyedong1992(a)gmail.com- 组织者 * zhipengh512(a)gmail.com- 创建者 * joel.falcou(a)lri.fr * mggong(a)mail.xidian.edu.cn * a.storkey(a)ed.ac.uk * han.xiao(a)conic.ai * zhoubin812(a)huawei.com * jinxuefeng(a)huawei.com * chenhkust(a)gmail.com * yongle.li(a)gmail.com * u1mail2me(a)gmail.com * iliya.slavutin(a)gmail.com * leichen(a)cse.ust.hk * dcszj(a)mail.tsinghua.edu.cn * jin.li(a)apulis.com * xiangyangli(a)ustc.edu.cn * gorlatch(a)uni-muenster.de * yhtian(a)pku.edu.cn * sgshan(a)ict.ac.cn * chenjj2(a)sdc.icbc.com.cn * prp(a)imperial.ac.uk * thsu(a)hit.edu.cn * fan.yu(a)huawei.com * huangzhipeng(a)huawei.com * cheng.ding(a)huawei.com * wanhanyang(a)huawei.com * zhangqiang27(a)huawei.com * ch.l(a)huawei.com * dengfuqiang(a)huawei.com * slavutin.iliya(a)huawei.com * wanghui71leon(a)gmail.com * mindspore-tsc(a)mindspore.cn 活动详细信息：https://calendar.google.com/calendar/event?action=VIEW&eid=N21lZjdjMTJkZT… 来自 Google 日历的邀请：https://calendar.google.com/calendar/ 由于您是该活动的参加者，所以您会通过 mindspore-tsc(a)mindspore.cn 帐号收到此邮件。要停止接收有关此活动的后续更新，请拒绝此活动。另外，您可以在 https://calendar.google.com/calendar/注册一个Google帐号并控制所有针对日历的通知设置。转发此邀请后，任何收件人都可以向组织者发送回复，并且被添加到邀请对象列表；无论其邀请状态为何，他们都可以邀请其他人；或者，他们也可以修改您的回复。要了解详情，请前往 https://support.google.com/calendar/answer/37135#forwarding

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Adaptive Distributed Training SIG
by sunbeilei 28 Oct '20

28 Oct '20

Dear All, I propose to set up the Adaptive Distributed Training SIG. Improving the resource utilization of a deep learning cluster is of paramount concern for many AI practioners. A promising approach is to use elastic deep learning systems. These systems allow users to dynamically change the number of training resources allocated to training jobs. Hence, practitioners can pack a large number of training jobs into a cluster, significantly improving cluster utilization. Though promising, elastic deep learning systems are difficult to be deployed in practice. State of the art data-parallel elastic ddp learning systems couple the number of training resources with a critical learning hyper-parameter: the batch size of the SGD. Any scaling decisions made by the cluster scheduler therefore must alter the SGD batch size, which affects training results and can even make the training fail to converge. In this SIG, we will enable the cluster scheduler to dynamically scale a training job without affecting its SGD batch size. To achieve this, we want to explore a novel method to decouple the SGD batch size and the number of training resources, so that the change of training resources does not affect the convergence. https://gitee.com/mindspore/community/blob/master/design/meps/mep-adaptive/… https://gitee.com/mindspore/community/tree/master/sigs/adaptivetraining Best regards Beilei Sun

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MindSpore TSC Monthly Meeting Oct 15th
by Zhipeng Huang 15 Oct '20

15 Oct '20

Dear TSC Members, This is a kind reminder for our upcoming MindSpore TSC Monthly meeting on Oct 15th. As I introduced in the last email, we have released the v1.0 version at the end of September, and the community is gaining momentum. In order to further adjust our community structure to adapt to a growing participation, there will be several changes proposed at the Oct 15th meeting: 1. Consolidate into one single monthly meeting for EU-Asia friendly timeslot. 2. Adding two new non-voting organizations : Expert Committee with its subsidiary groups and User Committee with its subsidiary groups. The two proposals will be discussed and then submitted as a resolution PR to the mindspore/community repo for final landing. Look forward to meeting you after a long break :) -- Zhipeng (Howard) Huang Principle Engineer OpenStack, Kubernetes, CNCF, LF Edge, ONNX, Kubeflow, OpenSDS, Open Service Broker API, OCP, Hyperledger, ETSI, SNIA, DMTF, W3C

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Cancellation of this month's TSC Meeting
by Zhipeng Huang 16 Sep '20

16 Sep '20

Dear TSC Members, In light of several China based TSC members attending Huawei Connect 2020 conference and the development phase of 1.0 release into a critical stage, let's cancel tomorrow's meeting. We will still post 1.0 release plan, the branch maintenance policy and milestone policy after 1.0 via the mailing list for your review, please do not hesitate to provide your key insight. One interesting development is that we will host our first *MindSpore Study Group Russia online meetup *on Thursday UTC0700, please check out my twitter post here <https://twitter.com/nopainkiller/status/1306209352399777794> for meeting information. I will as always try to record the event and post to YouTube if possible. Look forward to more MSGs in other parts of the world :) Stay tuned and stay healthy ! -- Zhipeng (Howard) Huang Principle Engineer OpenStack, Kubernetes, CNCF, LF Edge, ONNX, Kubeflow, OpenSDS, Open Service Broker API, OCP, Hyperledger, ETSI, SNIA, DMTF, W3C

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MindSpore TSC Monthly Meeting Aug 20, 2020
by Zhipeng Huang 19 Aug '20

19 Aug '20

Dear TSC Members, This is a kind reminder for our monthly meeting tomorrow. Besides the usual items on community progress, we will introduce 2 new SIGs and 2 new WGs :) Respectively: *SIG-MSLITE* for mobile and IoT support *SIG-DPP* for deep probabilistic programming support *WG-MM* for community collaboration on deep learning support in Molecular Modeling *WG-Research* for community collaboration on several research topics For the US-Asia timezone friendly meeting, please join https://zoom.us/j/98865564258 <https://www.google.com/url?q=https://zoom.us/j/98865564258&sa=D&source=cale…> and for EU-Asia timezone friendly meeting, please join https://zoom.us/j/99378539769 <https://www.google.com/url?q=https://zoom.us/j/99378539769&sa=D&source=cale…>. The calendar invitation has been updated as well. -- Zhipeng (Howard) Huang Principle Engineer OpenStack, Kubernetes, CNCF, LF Edge, ONNX, Kubeflow, OpenSDS, Open Service Broker API, OCP, Hyperledger, ETSI, SNIA, DMTF, W3C

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[Release]Plan For 0.7.0-beta
by ljllujiale 12 Aug '20

12 Aug '20

Please find below the release plan for our upcoming release 0.7.0 beta targeting the end of August. We've also documented the release management related info at https://gitee.com/mindspore/mindspore/wikis/August%202020?sort_id=2684223 Please also note that this is not the final release note, which will contain additional information on bug fixes and so forth. Feel free to ask any questions or provide any feedback through the list! Planned Features and Improvements For 0.7.0-beta release MindSpore Major Features and Improvements Ascend 910 Training and Inference Framework New models Mask-RCNN: a simple and flexible deep neural network extended from Faster-RCNN for object instance segmentation on COCO 2017 dataset. TinyBert: a smaller and faster version of BERT using transformer distillation for natural language understanding on GLUE benchmark. SENet: a convoluation neural network using Squeeze-and-Excitation blocks to improve channel interdependencies for image classification on ImageNet 2017 dataset. Inception V3: the third version of Inception convolutional architectures for image classification on ImageNet 2012 dataset. Hub: third-party model hosting, downloading and usage; interface definition specifications; benchmarking process and test of preset model on the device side. Frontend and user interface Embedding operator high-level packaging to support segmented by field for Wide&Deep. Load multi-node checkpoint into single-process to support host-device hybrid inference. Support Concat/Tile/Strideslice distributed operators. Support cumulative gradient and batch training split. Support variable parameter input for Cell object. Parameter mixed calculation optimization for pynative mode. Deep Probabilistic Programming Support statistical distributions classes used to generate stochastic tensors. Support probabilistic inference algorithms. Support BNN layers used to construct BNN. Support interfaces for the transformation between BNN and DNN. Support uncertainty estimation to estimate epistemic uncertainty and aleatoric uncertainty. Executor and performance optimization Minspore graph compilation process performance improved by 20%. Decoupling C++ and Python modules to achieve separate compilation of core modules. Serving module supports restful interface. Data processing, augmentation, and save format Support automatic data augmentation Support GNN distributed cache in single node Batch operator optimization Other Hardware Support GPU platform New model supported: VGG16, ResNet101, InceptionV3, NASNet, Transformer, TinyBert, YoloV3-DarkNet, MNASNet, EffecientNet-B0, ShuffleNet. Support some distributed operators in ResNet50 and Wide&Deep. Support automatic parallel for Wide&Deep. Support function funcsi (such as switch-case). Support distributed training with parameter server. Performance optimization of the distributed training with allreduce. Performance optimization of the mixed precision training. Performance optimization of the pynative mode. Performance optimization of the convolution operator, batch normalization operator. Serving module supports GPU backend. CPU platform Support MobileNetV2 Re-Training: Re-train the network with different class number. MindSpore Lite Major Features and Improvements Converter Support third party model, including TFLite/Caffe/ONNX. Add 96 TFLite op. Add 18 Caffe op. Add support for windows. Add 11 optimized passes, include fusion/const fold. Support aware-training and Post-training quantization. API Add JAVA APIs. Add pre/post data processing APIs. CPU Add 100+ops，support fp32, int8/uint8, FP16 ops Support fast convolution algorithms: Sliding Window, Img2col + Gemm, Strassen, Winograd Support assembly/neon instruction. Support CPU fp16 and sdot on ARM v8.2+. GPU Add 50+ ops for OpenCL. Support image2D/buffer format. Optimize online initialization time. add optimized convolution1X1/3X3/depthwise/convolution_transposed for OpenCL. NPU Support Kirin NPU. Tool & example Add benchmark and TimeProfile tools. Add image classification and object detection Android Demo. GraphEngine Major Features and Improvements Conditional operator memory supports separate allocation of 4G memory space; In the zero-copy scenario, atomic_clean supports cleaning the memory of each part of the output when the network is multi-output; Support profiling of multiple levels of data in inference scenarios; In the online compilation scenarios, GE compilation time optimization. MindArmour Major Features and Improvements Privacy leakage evaluation. Using Membership inference to evaluate the privacy-preserving of AI model. Fuzzing based Adversarial Robustness testing. Coverage-guided test set generation. MindInsight Major Features and Improvements Support GPU operator profiling Web UI supports English Computation graph show full_name in anf_ir.proto as node name Provides a code wizard tool to quickly generate classic network scripts in a friendly and easy way. Thanks Lujiale

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