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 and 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_worker > 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–module 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+for+next+MXNet+Release [3] https://github.com/apache/incubator-mxnet/issues/11849 [4] https://cwiki.apache.org/confluence/display/MXNET/MXNet+Graph+Optimization+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-435773777 [7] https://github.com/apache/incubator-mxnet/pull/11005
