{"action":"created","issue":{"url":"https://api.github.com/repos/dmlc/mxnet/issues/3509","repository_url":"https://api.github.com/repos/dmlc/mxnet","labels_url":"https://api.github.com/repos/dmlc/mxnet/issues/3509/labels{/name}","comments_url":"https://api.github.com/repos/dmlc/mxnet/issues/3509/comments","events_url":"https://api.github.com/repos/dmlc/mxnet/issues/3509/events","html_url":"https://github.com/dmlc/mxnet/issues/3509","id":182455614,"number":3509,"title":"[RELEASE] Announcing v0.9 Release Candidate 1","user":{"login":"piiswrong","id":568948,"avatar_url":"https://avatars.githubusercontent.com/u/568948?v=3","gravatar_id":"","url":"https://api.github.com/users/piiswrong","html_url":"https://github.com/piiswrong","followers_url":"https://api.github.com/users/piiswrong/followers","following_url":"https://api.github.com/users/piiswrong/following{/other_user}","gists_url":"https://api.github.com/users/piiswrong/gists{/gist_id}","starred_url":"https://api.github.com/users/piiswrong/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/piiswrong/subscriptions","organizations_url":"https://api.github.com/users/piiswrong/orgs","repos_url":"https://api.github.com/users/piiswrong/repos","events_url":"https://api.github.com/users/piiswrong/events{/privacy}","received_events_url":"https://api.github.com/users/piiswrong/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":10,"created_at":"2016-10-12T07:36:40Z","updated_at":"2016-10-31T16:57:21Z","closed_at":null,"body":"We are announcing v0.9 rc1 https://github.com/dmlc/mxnet/tree/v0.9rc1. This includes backend refactor to use NNVM for operator registration and graph optimization.\n# Schedule\n- Due to the big scope of changes, we first release a release candidate to collect feedbacks. Initial feedback period is two weeks. \n- If no issue is raised during this period we will merge v0.9 to master on **Oct 28th**. If you need more time, please respond to this issue (preferably with specific concerns) to ask for an extension.\n- Immediately before v0.9 is merged in to master, we will tag v0.8, which is the last release before NNVM refactor.\n- We will continue to develop v0.9 during this period. If you are interested in cutting edge development, please use https://github.com/dmlc/mxnet/tree/nnvm.\n# List of Changes in v0.9 (excluding those in v0.8)\n---\n- Refactor Symbolic (GraphExecutor, StaticGraph), and NDArray Imperative (MXFuncInvoke) modules to use NNVM for registration and optimization.\n  - mxnet/nnvm is added, GraphExecutor is rewritten. StaticGraph is removed.\n  - Simple op (registered with MXNET_REGISTER_SIMPLE_OP) is deprecated (but still supported through legacy support) and all simple ops in master are factored to register with NNVM. They are also moved to src/operator/tensor.\n  - OperatorProperty, which is the old way of registering layers, is also deprecated (but still supported through legacy support) and we will gradually move them to NNVM\n  - Guide for registering operators with NNVM is available here https://github.com/dmlc/mxnet/issues/3248.\n  - MXFuncInvoke is replaced with MXImperativeInvoke. Now ALL operators (including symbols like Convolution) are available under both mx.nd.\\* and mx.sym.\\* for ndarray operation and symbolic operation.\n  - Cython interface for mx.ndarray and mx.symbol are added for reduced python side overhead. Enable with `make cython`,  `make cython2`, and `make cython3` are added.\n- cc optimizers are deprecated and removed. ccsgd is now an alias of sgd. SGD and Adam are now implemented as one step ndarray operation to match the speed of ccsgd.\n- mx.image and mx.image.ImageIter are added for high performance image IO and augmentation. This is meant to replace cv2. This should make writing high performance image data iterators much easier. Try mx.image when you find mx.io.ImageRecordIter too restrictive.\n- MXProfiler is added (example/profiler) for profiling performance of layers.\n# List of Pending Changes\n\nThese are not available in v0.9 rc1 and may or may not be available in final v0.9 release.\n- Vastly (10x - 100x) improved CPU speed with MKLDNN optimizations from Intel.\n- Improved RNN support. More details later.\n- Layout support for nn layers (NCHW, NHWC, HCDHW)\n# List of Changes in v0.8\n- CaffeOp and CaffeIter for interfacing with Caffe by @HrWangChengdu @cjolivier01\n- WrapCTC plugin for sequence learning by @xlvector\n- Improved Multi-GPU performance by @mli\n- CuDNN RNN support by @sbodenstein\n- OpenCV plugin for parallel image IO by @piiswrong\n- More operators as simple op\n  - Simple OP @tqchen\n  - element wise op with axis and broadcast @mli @sxjscience\n- Cudnn auto tuning for faster convolution by @piiswrong\n- More applications\n  - Faster RCNN by @precedenceguo\n"},"comment":{"url":"https://api.github.com/repos/dmlc/mxnet/issues/comments/257351859","html_url":"https://github.com/dmlc/mxnet/issues/3509#issuecomment-257351859","issue_url":"https://api.github.com/repos/dmlc/mxnet/issues/3509","id":257351859,"user":{"login":"taliesinb","id":365157,"avatar_url":"https://avatars.githubusercontent.com/u/365157?v=3","gravatar_id":"","url":"https://api.github.com/users/taliesinb","html_url":"https://github.com/taliesinb","followers_url":"https://api.github.com/users/taliesinb/followers","following_url":"https://api.github.com/users/taliesinb/following{/other_user}","gists_url":"https://api.github.com/users/taliesinb/gists{/gist_id}","starred_url":"https://api.github.com/users/taliesinb/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/taliesinb/subscriptions","organizations_url":"https://api.github.com/users/taliesinb/orgs","repos_url":"https://api.github.com/users/taliesinb/repos","events_url":"https://api.github.com/users/taliesinb/events{/privacy}","received_events_url":"https://api.github.com/users/taliesinb/received_events","type":"User","site_admin":false},"created_at":"2016-10-31T16:57:21Z","updated_at":"2016-10-31T16:57:21Z","body":"@piiswrong: Any information about a new estimated timeline?"}}
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