From dev-return-4735-archive-asf-public=cust-asf.ponee.io@mxnet.incubator.apache.org Wed Nov 7 11:25:47 2018 Return-Path: X-Original-To: archive-asf-public@cust-asf.ponee.io Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by mx-eu-01.ponee.io (Postfix) with SMTP id B6E8418067A for ; Wed, 7 Nov 2018 11:25:46 +0100 (CET) Received: (qmail 85747 invoked by uid 500); 7 Nov 2018 10:25:45 -0000 Mailing-List: contact dev-help@mxnet.incubator.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@mxnet.incubator.apache.org Delivered-To: mailing list dev@mxnet.incubator.apache.org Received: (qmail 85706 invoked by uid 99); 7 Nov 2018 10:25:45 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd3-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 07 Nov 2018 10:25:45 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd3-us-west.apache.org (ASF Mail Server at spamd3-us-west.apache.org) with ESMTP id 8734018DFF3 for ; Wed, 7 Nov 2018 10:25:44 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd3-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: 1.695 X-Spam-Level: * X-Spam-Status: No, score=1.695 tagged_above=-999 required=6.31 tests=[DKIMWL_WL_MED=-0.104, DKIM_SIGNED=0.1, DKIM_VALID=-0.1, DKIM_VALID_AU=-0.1, DKIM_VALID_EF=-0.1, HTML_MESSAGE=2, RCVD_IN_DNSWL_NONE=-0.0001, SPF_PASS=-0.001] autolearn=disabled Authentication-Results: spamd3-us-west.apache.org (amavisd-new); dkim=pass (2048-bit key) header.d=gmail.com Received: from mx1-lw-eu.apache.org ([10.40.0.8]) by localhost (spamd3-us-west.apache.org [10.40.0.10]) (amavisd-new, port 10024) with ESMTP id PvuDYDy2pwnz for ; Wed, 7 Nov 2018 10:25:40 +0000 (UTC) Received: from mail-yb1-f181.google.com (mail-yb1-f181.google.com [209.85.219.181]) by mx1-lw-eu.apache.org (ASF Mail Server at mx1-lw-eu.apache.org) with ESMTPS id DB1715F357 for ; Wed, 7 Nov 2018 10:25:39 +0000 (UTC) Received: by mail-yb1-f181.google.com with SMTP id i17-v6so312550ybp.13 for ; Wed, 07 Nov 2018 02:25:39 -0800 (PST) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20161025; h=mime-version:references:in-reply-to:from:date:message-id:subject:to; bh=ENggUMuLPB/auR0EQmKi4E6n2yG6MORFh1dn/qPA18Y=; b=VRs/UMKgEv2/Y/YVUWhpxSRwFvOmAqmaK+MSI9OIFO7qzkenmt/7xxVLk0v7L256R9 ATlayh9kSh1CA/stBGS7s8B4mWSu3iIEusIAscsB8ezewuzU7CQf5pU4VWrDQBaXXud7 6gtNSdx2iFNms8dcpufqxSRyaN93+tGBPy6oWIMJy0W1Ct46LRzUzhXqi7YHx3hED3V/ 3y8hn6T2E/4Gqcn8Ek1V6oNg/OIDliHm+dktcP8LBCgtVctRcPEGV/lSxL0Lwq+GpSAn bGmz5So4bEXIXBtcZd+xdpSVcQ3M1actRQ1IVWkTVF84xd6ATTQODUcGVbRP8vd0Vrr/ vtuQ== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20161025; h=x-gm-message-state:mime-version:references:in-reply-to:from:date :message-id:subject:to; bh=ENggUMuLPB/auR0EQmKi4E6n2yG6MORFh1dn/qPA18Y=; b=eBjL/4/MZCADMKbjK02QzyxcbmgQImmZPBQr/ROgqW5xzmXYDDBO4N+XjzYcoAXy0D 35DpuN21zOfHYaCVRBgj1Tuqm+K6rsCHPp37JAeOMFFoVOCtuIB6SqFRR+cdaSDopqCd KSTxA/IXUcgb1RsRRit11B4Nu/ngx9ppBafcs9X4ZTrO5OrDKNeV/SnX+JhuGEhbbogV j55IeOUv8rZ1LX16M7vXyeBWw+I26/YLB7fm6nI1nGc4Z6uOr7ZQaEttwUyMEFs0qnSP yqa+C9WXsgIb88We+x+ODkNt2Lc0S5cI37A2b9v3q2OX7Rpbi7dAYqVWM6vHRVef8wpg uMpQ== X-Gm-Message-State: AGRZ1gKUCOigm2NWtr8JYI2ODQkg5MCQ5nS/LZvx7jDmlRNfnYiemN83 YeVnnEogKVT7+ew9tDV2vpTwXY7VO3MpYOqjdDUyDOJqgj0= X-Google-Smtp-Source: AJdET5eYV8CI/eXQKaeWOFgQ0SEaW89KCICDFcmTs1KqkLKXHDnJ8QhCDW+xtgA62qwbODDlAkAGs6DfrnMVjAJodB0= X-Received: by 2002:a25:1888:: with SMTP id 130-v6mr920025yby.276.1541586332847; Wed, 07 Nov 2018 02:25:32 -0800 (PST) MIME-Version: 1.0 References: <05F52EF0-7BA4-42A9-B58B-8603FD36DED2@gmail.com> <3A19CA73-EF7D-4141-962F-729778EB8D4B@gmail.com> In-Reply-To: From: Anton Chernov Date: Wed, 7 Nov 2018 11:25:21 +0100 Message-ID: Subject: Re: [Announce] Upcoming Apache MXNet (incubating) 1.3.1 patch release To: dev@mxnet.incubator.apache.org, dev@mxnet.apache.org Content-Type: multipart/alternative; boundary="000000000000c29262057a1089f1" --000000000000c29262057a1089f1 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable @Sheng: Sorry, nevermind. It was already suggested by Lin. The following backport PR's have been created: allow foreach on input with 0 length (v1.3.x) https://github.com/apache/incubator-mxnet/pull/13151 [MXNET-1179] Enforce deterministic algorithms in convolution layers (v1.3.x= ) https://github.com/apache/incubator-mxnet/pull/13152 Document the newly added env variable (v1.3.x) https://github.com/apache/incubator-mxnet/pull/13156 add/update infer_range docs (v1.3.x) https://github.com/apache/incubator-mxnet/pull/13153 fix broken Python IO API docs (v1.3.x) https://github.com/apache/incubator-mxnet/pull/13154 fix broken links (v1.3.x) https://github.com/apache/incubator-mxnet/pull/13155 Best Anton =D1=81=D1=80, 7 =D0=BD=D0=BE=D1=8F=D0=B1. 2018 =D0=B3. =D0=B2 10:49, Anton = Chernov : > Hi Sheng, > > thanks for you suggestions. Personally, I would not rush with new major > release as this breaks the pace and creates unnecessary pressure in my > opinion. > > If the changes suggested by Haibin are really important then I think we > can consider them for the minor release, even if they are not strictly > speaking *bugfixes*. Do you think that might be an option? > > And did I understand correctly, you are suggesting: > > [MXNET-1179] Enforce deterministic algorithms in convolution layers > https://github.com/apache/incubator-mxnet/pull/12992 > > for the 1.3.1 release? > > Best > Anton > > > =D1=81=D1=80, 7 =D0=BD=D0=BE=D1=8F=D0=B1. 2018 =D0=B3. =D0=B2 0:59, Sheng= Zha : > >> Similar to the two PRs that Haibin suggested, 12992 introduces new >> interface for controlling determinism, which is better suited for minor >> release. >> >> I think other than lack of release manager to drive 1.4.0 release, >> there=E2=80=99s no reason we cannot do two releases (1.4.0 & 1.3.1) at t= he same >> time. I=E2=80=99m willing to help with the 1.4.0 release to make these n= ew features >> available one month sooner, if there=E2=80=99s no other concern. >> >> -sz >> >> > On Nov 6, 2018, at 3:30 PM, Lin Yuan wrote: >> > >> > Hi Anton, >> > >> > Thanks for helping the release. >> > The following PRs are needed by customers who want to use deterministi= c >> > CUDNN convolution algorithms: >> > >> > https://github.com/apache/incubator-mxnet/pull/12992 >> > https://github.com/apache/incubator-mxnet/pull/13049 >> > >> > Thanks=EF=BC=81 >> > >> > Lin >> > >> > >> > On Tue, Nov 6, 2018 at 1:51 PM Aaron Markham > > >> > wrote: >> > >> >> Hi Anton, >> >> I have the following suggestions for fixes to include in 1.3.1. These >> each >> >> have updates to files that will impact docs generation for the 1.3.x >> >> version of the website's Python API docs: >> >> >> >> https://github.com/apache/incubator-mxnet/pull/12879 >> >> https://github.com/apache/incubator-mxnet/pull/12871 >> >> https://github.com/apache/incubator-mxnet/pull/12856 >> >> >> >> Thanks, >> >> Aaron >> >> >> >>> On Tue, Nov 6, 2018 at 1:29 PM Lai Wei wrote: >> >>> >> >>> Hi Anton, >> >>> >> >>> Thanks for driving this, I would like to include the following fix i= n >> >>> 1.3.1: >> >>> Allow infer shape partial on foreach operator: >> >>> https://github.com/apache/incubator-mxnet/pull/12471 >> >>> >> >>> Keras-MXNet needs this functionality to infer shape partially >> >>> on foreach operator. (Used in RNN operators) >> >>> >> >>> Thanks a lot! >> >>> >> >>> >> >>> Best Regards >> >>> Lai Wei >> >>> >> >>> >> >>> >> >>> On Tue, Nov 6, 2018 at 10:44 AM Haibin Lin >> >>> wrote: >> >>> >> >>>> Hi Naveen and Anton, >> >>>> >> >>>> Thanks for pointing that out. You are right that these are not >> critical >> >>>> fixes. Putting them in 1.4.0 is more appropriate. PRs are closed. >> >>>> >> >>>> Best, >> >>>> Haibin >> >>>> >> >>>> On Tue, Nov 6, 2018 at 7:35 AM Naveen Swamy >> >> wrote: >> >>>> >> >>>>> Please note that this is a patch release(1.3.1) to address critica= l >> >>>> bugs!, >> >>>>> For everything else please wait for 1.4.0 which is planned very >> >> shortly >> >>>>> after 1.3.1 >> >>>>> >> >>>>>> On Nov 6, 2018, at 7:17 AM, Anton Chernov >> >>> wrote: >> >>>>>> >> >>>>>> The following PR's have been created so far: >> >>>>>> >> >>>>>> Infer dtype in SymbolBlock import from input symbol (v1.3.x) >> >>>>>> https://github.com/apache/incubator-mxnet/pull/13117 >> >>>>>> >> >>>>>> [MXNET-953] Fix oob memory read (v1.3.x) >> >>>>>> https://github.com/apache/incubator-mxnet/pull/13118 >> >>>>>> >> >>>>>> [MXNET-969] Fix buffer overflow in RNNOp (v1.3.x) >> >>>>>> https://github.com/apache/incubator-mxnet/pull/13119 >> >>>>>> >> >>>>>> [MXNET-922] Fix memleak in profiler (v1.3.x) >> >>>>>> https://github.com/apache/incubator-mxnet/pull/13120 >> >>>>>> >> >>>>>> Set correct update on kvstore flag in dist_device_sync mode >> >> (v1.3.x) >> >>>>>> https://github.com/apache/incubator-mxnet/pull/13121 >> >>>>>> >> >>>>>> update mshadow (v1.3.x) >> >>>>>> https://github.com/apache/incubator-mxnet/pull/13122 >> >>>>>> >> >>>>>> CudnnFind() usage improvements (v1.3.x) >> >>>>>> https://github.com/apache/incubator-mxnet/pull/13123 >> >>>>>> >> >>>>>> Fix lazy record io when used with dataloader and multi_worker > 0 >> >>>>> (v1.3.x) >> >>>>>> https://github.com/apache/incubator-mxnet/pull/13124 >> >>>>>> >> >>>>>> >> >>>>>> As stated previously I would be rather opposed to have following >> >> PR's >> >>>> it >> >>>>> in >> >>>>>> the patch release: >> >>>>>> >> >>>>>> Gluon LSTM Projection and Clipping Support (#13055) v1.3.x >> >>>>>> https://github.com/apache/incubator-mxnet/pull/13129 >> >>>>>> >> >>>>>> sample_like operators (#13034) v1.3.x >> >>>>>> https://github.com/apache/incubator-mxnet/pull/13130 >> >>>>>> >> >>>>>> >> >>>>>> Best >> >>>>>> Anton >> >>>>>> >> >>>>>> =D0=B2=D1=82, 6 =D0=BD=D0=BE=D1=8F=D0=B1. 2018 =D0=B3. =D0=B2 16:= 06, Anton Chernov : >> >>>>>> >> >>>>>>> Hi Haibin, >> >>>>>>> >> >>>>>>> I have a few comments regarding the proposed performance >> >> improvement >> >>>>>>> changes. >> >>>>>>> >> >>>>>>> CUDNN support for LSTM with projection & clipping >> >>>>>>> https://github.com/apache/incubator-mxnet/pull/13056 >> >>>>>>> >> >>>>>>> There is no doubt that this change brings value, but I don't see >> >> it >> >>>> as a >> >>>>>>> critical bug fix. I would rather leave it for the next major >> >>> release. >> >>>>>>> >> >>>>>>> sample_like operators >> >>>>>>> https://github.com/apache/incubator-mxnet/pull/13034 >> >>>>>>> >> >>>>>>> Even if it's related to performance, this is an addition of >> >>>>> functionality >> >>>>>>> and I would also push this to be in the next major release only. >> >>>>>>> >> >>>>>>> >> >>>>>>> Best >> >>>>>>> Anton >> >>>>>>> >> >>>>>>> >> >>>>>>> =D0=B2=D1=82, 6 =D0=BD=D0=BE=D1=8F=D0=B1. 2018 =D0=B3. =D0=B2 15= :55, Anton Chernov : >> >>>>>>> >> >>>>>>>> Hi Patric, >> >>>>>>>> >> >>>>>>>> This change was listed in the 'PR candidates suggested for >> >>>>> consideration >> >>>>>>>> for v1.3.1 patch release' section [1]. >> >>>>>>>> >> >>>>>>>> You are right, I also think that this is not a critical hotfix >> >>> change >> >>>>>>>> that should be included into the 1.3.1 patch release. >> >>>>>>>> >> >>>>>>>> Thus I'm not making any further efforts to bring it in. >> >>>>>>>> >> >>>>>>>> Best >> >>>>>>>> Anton >> >>>>>>>> >> >>>>>>>> [1] >> >>>>>>>> >> >>>>> >> >>>> >> >>> >> >> >> https://cwiki.apache.org/confluence/display/MXNET/Project+Proposals+for+= next+MXNet+Release#PR_candidates >> >>>>>>>> >> >>>>>>>> >> >>>>>>>> =D0=B2=D1=82, 6 =D0=BD=D0=BE=D1=8F=D0=B1. 2018 =D0=B3. =D0=B2 1= :14, Zhao, Patric > >>> : >> >>>>>>>> >> >>>>>>>>> Hi Anton, >> >>>>>>>>> >> >>>>>>>>> Thanks for looking into the MKL-DNN PR. >> >>>>>>>>> >> >>>>>>>>> As my understanding of cwiki ( >> >>>>>>>>> >> >>>>> >> >>>> >> >>> >> >> >> https://cwiki.apache.org/confluence/display/MXNET/Project+Proposals+for+= next+MXNet+Release >> >>>>>>>>> ), >> >>>>>>>>> these features will go into 1.4 rather than patch release of >> >>> 1.3.1. >> >>>>>>>>> >> >>>>>>>>> Feel free to correct me :) >> >>>>>>>>> >> >>>>>>>>> Thanks, >> >>>>>>>>> >> >>>>>>>>> --Patric >> >>>>>>>>> >> >>>>>>>>>> -----Original Message----- >> >>>>>>>>>> From: Anton Chernov [mailto:mechernov@gmail.com] >> >>>>>>>>>> Sent: Tuesday, November 6, 2018 3:11 AM >> >>>>>>>>>> To: dev@mxnet.apache.org >> >>>>>>>>>> Subject: Re: [Announce] Upcoming Apache MXNet (incubating) >> >> 1.3.1 >> >>>>> patch >> >>>>>>>>>> release >> >>>>>>>>>> >> >>>>>>>>>> It seems that there is a problem porting following changes to >> >> the >> >>>>>>>>> v1.3.x >> >>>>>>>>>> release branch: >> >>>>>>>>>> >> >>>>>>>>>> Implement mkldnn convolution fusion and quantization >> >>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12530 >> >>>>>>>>>> >> >>>>>>>>>> MKL-DNN Quantization Examples and README >> >>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12808 >> >>>>>>>>>> >> >>>>>>>>>> The bases are different. >> >>>>>>>>>> >> >>>>>>>>>> I would need help from authors of these changes to make a >> >>> backport >> >>>>> PR. >> >>>>>>>>>> >> >>>>>>>>>> @ZhennanQin, @xinyu-intel would you be able to assist me and >> >>> create >> >>>>> the >> >>>>>>>>>> corresponding PR's? >> >>>>>>>>>> >> >>>>>>>>>> Without proper history and domain knowledge I would not be ab= le >> >>> to >> >>>>>>>>> create >> >>>>>>>>>> them by my own in reasonable amount of time, I'm afraid. >> >>>>>>>>>> >> >>>>>>>>>> Best regards, >> >>>>>>>>>> Anton >> >>>>>>>>>> >> >>>>>>>>>> =D0=BF=D0=BD, 5 =D0=BD=D0=BE=D1=8F=D0=B1. 2018 =D0=B3. =D0=B2= 19:45, Anton Chernov < >> >> mechernov@gmail.com >> >>>> : >> >>>>>>>>>> >> >>>>>>>>>>> >> >>>>>>>>>>> As part of: >> >>>>>>>>>>> >> >>>>>>>>>>> Implement mkldnn convolution fusion and quantization >> >>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12530 >> >>>>>>>>>>> >> >>>>>>>>>>> I propose to add the examples and documentation PR as well: >> >>>>>>>>>>> >> >>>>>>>>>>> MKL-DNN Quantization Examples and README >> >>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12808 >> >>>>>>>>>>> >> >>>>>>>>>>> >> >>>>>>>>>>> Best regards, >> >>>>>>>>>>> Anton >> >>>>>>>>>>> >> >>>>>>>>>>> =D0=BF=D0=BD, 5 =D0=BD=D0=BE=D1=8F=D0=B1. 2018 =D0=B3. =D0= =B2 19:02, Anton Chernov < >> >> mechernov@gmail.com >> >>>> : >> >>>>>>>>>>> >> >>>>>>>>>>>> Dear MXNet community, >> >>>>>>>>>>>> >> >>>>>>>>>>>> I will be the release manager for the upcoming 1.3.1 patch >> >>>> release. >> >>>>>>>>>>>> Naveen will be co-managing the release and providing help >> >> from >> >>>> the >> >>>>>>>>>>>> committers side. >> >>>>>>>>>>>> >> >>>>>>>>>>>> The following dates have been set: >> >>>>>>>>>>>> >> >>>>>>>>>>>> Code Freeze: 31st October 2018 >> >>>>>>>>>>>> Release published: 13th November 2018 >> >>>>>>>>>>>> >> >>>>>>>>>>>> Release notes have been drafted here [1]. >> >>>>>>>>>>>> >> >>>>>>>>>>>> >> >>>>>>>>>>>> * Known issues >> >>>>>>>>>>>> >> >>>>>>>>>>>> Update MKL-DNN dependency >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12953 >> >>>>>>>>>>>> >> >>>>>>>>>>>> This PR hasn't been merged even to master yet. Requires >> >>>> additional >> >>>>>>>>>>>> discussion and merge. >> >>>>>>>>>>>> >> >>>>>>>>>>>> distributed kvstore bug in MXNet >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/issues/12713 >> >>>>>>>>>>>> >> >>>>>>>>>>>>> When distributed kvstore is used, by default gluon.Trainer >> >>>> doesn't >> >>>>>>>>>>>>> work >> >>>>>>>>>>>> with mx.optimizer.LRScheduler if a worker has more than 1 >> >> GPU. >> >>> To >> >>>>> be >> >>>>>>>>>>>> more specific, the trainer updates once per GPU, the >> >>> LRScheduler >> >>>>>>>>>>>> object is shared across GPUs and get a wrong update count. >> >>>>>>>>>>>> >> >>>>>>>>>>>> This needs to be fixed. [6] >> >>>>>>>>>>>> >> >>>>>>>>>>>> >> >>>>>>>>>>>> * Changes >> >>>>>>>>>>>> >> >>>>>>>>>>>> The following changes will be ported to the release branch, >> >> per >> >>>>> [2]: >> >>>>>>>>>>>> >> >>>>>>>>>>>> Infer dtype in SymbolBlock import from input symbol [3] >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12412 >> >>>>>>>>>>>> >> >>>>>>>>>>>> [MXNET-953] Fix oob memory read >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12631 >> >>>>>>>>>>>> >> >>>>>>>>>>>> [MXNET-969] Fix buffer overflow in RNNOp >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12603 >> >>>>>>>>>>>> >> >>>>>>>>>>>> [MXNET-922] Fix memleak in profiler >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12499 >> >>>>>>>>>>>> >> >>>>>>>>>>>> Implement mkldnn convolution fusion and quantization (MXNet >> >>> Graph >> >>>>>>>>>>>> Optimization and Quantization based on subgraph and MKL-DNN >> >>>>>>>>>> proposal >> >>>>>>>>>>>> [4]) >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12530 >> >>>>>>>>>>>> >> >>>>>>>>>>>> Following items (test cases) should be already part of 1.3.= 0: >> >>>>>>>>>>>> >> >>>>>>>>>>>> [MXNET-486] Create CPP test for concat MKLDNN operator >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/11371 >> >>>>>>>>>>>> >> >>>>>>>>>>>> [MXNET-489] MKLDNN Pool test >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/11608 >> >>>>>>>>>>>> >> >>>>>>>>>>>> [MXNET-484] MKLDNN C++ test for LRN operator >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/11831 >> >>>>>>>>>>>> >> >>>>>>>>>>>> [MXNET-546] Add unit test for MKLDNNSum >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/11272 >> >>>>>>>>>>>> >> >>>>>>>>>>>> [MXNET-498] Test MKLDNN backward operators >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/11232 >> >>>>>>>>>>>> >> >>>>>>>>>>>> [MXNET-500] Test cases improvement for MKLDNN on Gluon >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/10921 >> >>>>>>>>>>>> >> >>>>>>>>>>>> Set correct update on kvstore flag in dist_device_sync mode >> >> (as >> >>>>> part >> >>>>>>>>>>>> of fixing [5]) >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12786 >> >>>>>>>>>>>> >> >>>>>>>>>>>> upgrade mshadow version >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12692 >> >>>>>>>>>>>> But another PR will be used instead: >> >>>>>>>>>>>> update mshadow >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12674 >> >>>>>>>>>>>> >> >>>>>>>>>>>> CudnnFind() usage improvements >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12804 >> >>>>>>>>>>>> A critical CUDNN fix that reduces GPU memory consumption an= d >> >>>>>>>>>>>> addresses this memory leak issue. This is an important fix = to >> >>>>>>>>> include >> >>>>>>>>>>>> in 1.3.1 >> >>>>>>>>>>>> >> >>>>>>>>>>>> >> >>>>>>>>>>>> From discussion about gluon toolkits: >> >>>>>>>>>>>> >> >>>>>>>>>>>> disable opencv threading for forked process >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12025 >> >>>>>>>>>>>> >> >>>>>>>>>>>> Fix lazy record io when used with dataloader and multi_work= er >> >>>> 0 >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12554 >> >>>>>>>>>>>> >> >>>>>>>>>>>> fix potential floating number overflow, enable float16 >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/pull/12118 >> >>>>>>>>>>>> >> >>>>>>>>>>>> >> >>>>>>>>>>>> >> >>>>>>>>>>>> * Resolved issues >> >>>>>>>>>>>> >> >>>>>>>>>>>> MxNet 1.2.1=E2=80=93module get_outputs() >> >>>>>>>>>>>> >> >> https://discuss.mxnet.io/t/mxnet-1-2-1-module-get-outputs/1882 >> >>>>>>>>>>>> >> >>>>>>>>>>>> As far as I can see from the comments the issue has been >> >>>> resolved, >> >>>>>>>>> no >> >>>>>>>>>>>> actions need to be taken for this release. [7] is mentioned >> >> in >> >>>> this >> >>>>>>>>>>>> regards, but I don't see any action points here either. >> >>>>>>>>>>>> >> >>>>>>>>>>>> >> >>>>>>>>>>>> I will start with help of Naveen port the mentioned PR's to >> >> the >> >>>>>>>>> 1.3.x >> >>>>>>>>>>>> branch. >> >>>>>>>>>>>> >> >>>>>>>>>>>> >> >>>>>>>>>>>> Best regards, >> >>>>>>>>>>>> Anton >> >>>>>>>>>>>> >> >>>>>>>>>>>> [1] https://cwiki.apache.org/confluence/x/eZGzBQ >> >>>>>>>>>>>> [2] >> >>>>>>>>>>>> >> >>>>>>>>> >> >>>> >> https://cwiki.apache.org/confluence/display/MXNET/Project+Proposals+f >> >>>>>>>>>>>> or+next+MXNet+Release [3] >> >>>>>>>>>>>> https://github.com/apache/incubator-mxnet/issues/11849 >> >>>>>>>>>>>> [4] >> >>>>>>>>>>>> >> >>>>>>>>>> >> >>>>> >> >> https://cwiki.apache.org/confluence/display/MXNET/MXNet+Graph+Optimiz >> >>>>>>>>>>>> ation+and+Quantization+based+on+subgraph+and+MKL-DNN >> >>>>>>>>>>>> [5] https://github.com/apache/incubator-mxnet/issues/12713 >> >>>>>>>>>>>> [6] >> >>>>>>>>>>>> https://github.com/apache/incubator- >> >>>>>>>>>> mxnet/issues/12713#issuecomment-4 >> >>>>>>>>>>>> 35773777 [7] >> >>>> https://github.com/apache/incubator-mxnet/pull/11005 >> >>>>>>>>>>>> >> >>>>>>>>>>>> >> >>>>>>>>> >> >>>>>>>> >> >>>>> >> >>>> >> >>> >> >> >> > --000000000000c29262057a1089f1--