Features

ONNX

• Add more ONNX export support to operators (#19625)
  
• onnx support more ops (#19653)
  
• ONNX _contrib_interleaved_matmul_selfatt_valatt and LayerNorm (#19661)
  
• Improve onnx test suite (#19662)
  
• Make ONNX export operators work properly with the node input shape (#19676)
  
• Onnx fix slice_axis and embedding and reshape (#19677)
  
• Add more onnx export unit tests, refactor onnxruntime tests. (#19689)
  
• Update onnx export support for FullyConnected and add unit tests (#19679)
  
• Add coverage to onnx test pipeline. (#19682)
  
• onnx test coverage for leakyrelu elemwise_add concat activation (#19687)
  
• ONNX fix softmax (#19691)
  
• More onnx export updates (#19692)
  
• onnx fix fullyconnected (#19693)
  
• ONNX fix embedding and slice (#19695)
  
• Add more CV models to onnxruntime inference test, add bert model test. (#19697)
  
• Add more ONNX export operator support (#19727)
  
• ONNX Supoort for MXNet repeat op (#19732)
  
• ONNX Supoort for MXNet _contrib_BilinearResize2D op (#19733)
  
• ONNX support adaptiveAveragePooling2D and update Softmax to support temperature (#19736)
  
• ONNX Supoort for MXNet reverse op (#19737)
  
• Add onnx export support for where and greater_scalar operators. (#19745)
  
• ONNX support for box_decode (#19750)
  
• ONNX contrib_box_nms (#19755)
  
• Onnx support for reshape_like (#19759)
  
• ONNX conversion for topk (#19761)
  
• _maximum_scalar (#19763)
  
• Onnx export support for gather_nd (#19767)
  
• ONNX support for broadcast_mod (#19770)
  
• Onnx export support for batch_dot (#19775)
  
• ONNX support for slice_like (#19782)
  
• ONNX export support for SwapAxis (#19789)
  
• broadcast_like (#19791)
  
• ONNX support for Softmax -- optimize for axis=-1 case (#19794)
  
• Onnx support for upsampling (#19795)
  
• ONNX export support for multiple input data types (#19796)
  
• Refactor onnx tests for object classification, add object detection tests (#19802)
  
• Onnx Reshpe support for special caes (#19804)
  
• Onnx export support for ROIAlign (#19814)
  
• Add image segmentation end-to-end tests and expand object classification tests (#19815)
  
• Add onnx operator unit tests for sum, broadcast_mul (#19820)
  
• Add onnx export function for log2 operator, add operator unit test and update tests to allow comparing NaN values. (#19822)
  
• ONNX 1.6 compatibility fix + fix for when multiple nodes have the same name (#19823)
  
• Add ONNX export support for equal_scalar operator (#19824)
  
• ONNX Export Support for Pooling & Convolution (#19831)
  
• Add onnx end-to-end tests for pose estimation and action recognition models. (#19834)
  
• new cases (#19835)
  
• batchnorm tests (#19836)
  
• Onnx Support for Dropout (#19837)
  
• Bump Up CI ONNX Tests Thread Count (#19845)
  
• nnx export support for slicechannel and box_nms (#19846)
  
• Move majority of ONNX model tests to nightly, only test a few models in PR pipeline (#19848)
  
• ONNX export rewrite Take (#19851)
  
• ONNX export fix slice_axis (#19853)
  
• ONNX support for argsort (#19854)
  
• enable 3d convolution (#19855)
  
• ONNX export rewrite tile (#19868)
  
• reshape corner cases for mask rcnn (#19875)
  
• refactor code (#19887)
  
• Add onnx export operator for minimum_scalar. (#19888)
  
• ONNX Fixes (#19914)
  
• Add onnx export support and unit tests for zeros and ones. (#19951)
  
• Add onnx export support for one_hot and random_uniform_like and unit tests for one_hot. (#19952)
  
• ONNX support for SequenceReverse (#19954)
  
• ONNX export support for RNN (#19958)
  
• ONNX Fixes for some NLP models (#19973)
  
• ONNX Type inference support (#19990)
  
• add roberta tests (#19996)
  
• add ONNX DistilBERT tests (#19999)
  
• Onnx Dynamic Shapes Support (#20001)
  
• ONNX Support for pretrained StandardRNN models (#20017)
  
• Add AWDRNN Pratrained model test (#20018)
  
• fix squeeze (#20020)
  
• website update for 1.8.0 (#20021)
  
• add ernie onnx test (#20030)
  
• Onnx Support for Transformer (#20048)
  
• ONNX export support for GRU (#20060)
  
• ONNX support fot gpt models (#20061)
  
• Rearrange ONNX tests in Nightly CI (#20075)
  
• ONNX Graduation (#20094)
  
• fix typo (#20106)
  
• MXNet export for ONNX 1.8 support (#20113)
  
• split cv tests (#20117)
  
• skip one test (#20122)
  
• fix onnx type inference issue (#20130)
  
• Add mx2onnx operator support matrix (#20139)
  
• fix mx2onnx wheel (#20157)
  
• increase test tolerance (#20161)
  
• ONNX legacy operator fix and test (#20165)
  
• Onnx Fix 6 MaskRCNN models (#20178)
  
• onnx legacy operator unit tests + fixes (#20179)
  
• add faster_rcnn_fpn models (#20190)
  
• fix test (#20191)
  
• Add onnx export operator unit tests. (#20192)
  
• Add more onnx operator export unit tests (#20194)
  
• ONNX support rewrite norm (#20195)
  
• ONNX export support from arg/aux params (#20198)
  
• bump onnxruntime version (#20199)
  
• skip cv tests (#20208)
  
• ONNX fix log_softmax for opset 12 (#20209)
  
• Add more ONNX model tests (#20210)
  
• ONNX export support for RNN and sum_axis (#20226)
  
• Add ONNX model support matrix (#20230)
  
• ONNX optimize softmax (#20231)
  
• fix (#20240)
  
• add example (#20245)
  
• ONNX add support coverage for Reshape and lstm (#20246)
  
• ONNX support for _split_v2 (#20250)
  
• ONNX fix RNN input shape (#20255)
  
• Update ONNX tutorial and doc (#20253)
  
• change some shapes from 10d to 8d (#20258)
  
• ONNX export support broadcast_not_equal (#20259)
  
• ONNX: fix error handling when op is not registered (#20261)
  
• ONNX tweak Resize op (#20264)
  
• Add more onnx export unit tests, refactor onnxruntime tests. (#19689)
  
• ONNX docs and tutorial revision #20269
  
• onnx fix rnn (#20272)
  

OneDNN

• Implement oneDNN deconvolution primitives to deconvolution 2D (#20107)
  
• [Feature] Add oneDNN support for interleaved_matmulselfatt* operators (fp32/int8) (#20163)
  
• Bumped oneDNN version to 1.6.5 (#19449)
  
• [submodule] Upgrade oneDNN to v2.0 (#19670)
  
• Impose a plain format for concat’s output when oneDNN would use padding (#19735)
  
• [submodule] Upgrade to oneDNN v1.7 (#19559)
  
• Add test case for oneDNN RNN (#19464)
  
• Fusing gelu post operator in Fully Connected symbol (#19971)
  
• [submodule] Upgrade oneDNN to v1.6.4 (#19276)
  
• ElementWiseSum fix for oneDNN (#18777) (#19199)
  

ARM support

• Add aarch64 support (#20252)
  
• Revise MKLDNN Builds on Arm and Add a CMake Template for Arm (#20266)
  

CI-CD improvements

• Fix Nightly CI (#20019)
  
• correcting cuda 11.2 image name in CI and CD (#19960)
  
• CI fixes to make more stable and upgradable (#19895)
  
• Address CI failures with docker timeouts (v2) (#19890)
  
• Attempt to fix v1.x CI issues. (#19872)
  
• Update CI build scripts to install python 3.6 from deadsnakes repo (#19788)
  
• Fix R builds on CI (#19656)
  
• Update CD Jenkins config for include/mkldnn/oneapi/dnnl (#19725)
  
• Fix CI builds failing due to invalid GPG keys. (#19377)
  
• Disable unix-gpu-cu110 pipeline for v1.x build since we now build with cuda 11.0 in windows pipelines. (#19828)
  
• [BACKPORT]Enable CUDA 11.0 on nightly + CUDA 11.2 on pip (#19295)(#19764) (#19930)
  
• Fix nightly cd cu102 (#19940)
  
• Drop cu9x in cd (#19902)
  
• update cudnn from 7 to 8 for cu102 (#19522)
  
• update cudnn from 7 to 8 for cu102 (#19506)
  
• [v.1x] Attempt to fix v1.x cd by installing new cuda compt package (#19959)
  
• [FEATURE]Migrating all CD pipelines to Ninja build + fix cu112 CD pipeline (#19974)
  
• Fix nightly CD for python docker image releases (#19774)
  
• [CD] Fix nightly docker missing lib (#20120)
  
• [CD] Fix CD cu102 110 112 cuda compatibility (#20116)
  
• Disable codecov. (#20175)
  
• Static build for mxnet-cu110 (#19272)
  

Subgraph API

• Move block.optimize_for backend_opts to kwargs (#19386)
  
• Backport Enable Numpy support for Gluon Block optimize_for to v1.x (#19456)
  
• Save/Load Gluon Blocks & HybridBlocks (#19565)
  
• Fixed setting attributes in reviewSubgraph (#19274)
  
• Fix for optimize_for multiple subgraph properties issue (#19263) (#20142)
  
• Reuse params from cached_op_args (#20221)
  

MXNet-TensorRT

• Simplify TRT build by adding onnx_tensorrt targets in CMake (#19742)
  
• Add 1:many conversions in nnvm_to_onnx and non-flatten GEMM (#19652)
  
• TRT test update (#19296)
  
• Fix TRT INT8 unsupported hardware error handling (#19349)
  
• Update MXNet-TRT doc with the new optimize_for API (#19385)
  
• Fix precision vars initialization in TRT (#20277)
  

Build system

• Fix gcc 10 build (#20216)
  
• Change gcc 8 PPA to ppa:jonathonf/gcc (#19638)
  
• Add option to build with shared c runtime on windows (#19409) (#19932)
  
• Create tool for building source archives (#19972)
  
• [PIP] update manifest to include lib_api.cc (#19850) (#19912)
  
• Fix windows dll loading for compute capabilties >7.5 (#19931)
  
• [PIP] add build target in cmake for osx compat (#19110) (#19926)
  

Documentation

• update news.md and readme.md for 1.8.0 release (#19976)
  
• Fix python doc version dropdown (#20189)
  
• Fix cu100 pip link (#20084)
  

License

• adding License in libmxnet make config .sym and .ver files (#19937)
  
• add missing license fix from master to v1.x (#19916)
  
• Fix license for blockingconcurrentqueue (#19910)
  
• update notice year (#19893)
  
• Backport [LICENSE] Reorganize rat-excludes file to ease license auditing (#19743) (#19799)
  
• Update LICENSE (#19704)
  
• [LICENSE] Change intgemm to a submodule instead of fetch. (#19407)
  

Website improvements

• add djl and autogluon to website (#19981) (#19995)
  
• add website artifacts pipeline (#19397)
  
• v1.x website patch (#19192)
  

Bug fixes & misc

• Fix take gradient (#20166)
  
• Pip Build: use runtime.Features instead of manual check for mkldnn headers (#19195) (#19928)
  
• Fix AmpCast for float16 (#19749)
  
• Backport extension bug fixes to v1.x (#19469) (#19503)
  
• Fix MKLDNN BatchNorm with even number of channels (#19150) #19299 #19425 (#19445)
  
• Fix to quantization dshape bug (#19501)
  
• Update ps-lite to fix the zmq not found issue (#20248)
  
• update short desc for pip (#20237)
  
• set osx deploy target for v1.x wheels (#20127)
  
• downloading MNIST dataset from alternate URL (#20014)
  
• pass version param (#19982)
  
• Remove unmaintained BLC (#19801)
  
• Update setup.py for darwin builds (#19130) (#19927)
  
• Unskip Flaky test_gluon_data tests (#19919)
  
• WAR the dataloader issue with forked processes holding stale references (#19924)
  
• For ECR, ensure we sanitize region input from environment variable (#19882)
  
• Migrate to use ECR as docker cache instead of dockerhub (#19654)
  
• provide a faster PrefetchedDataLoader (#19748)
  
• Update dgl_graph.cc (#19827)
  
• initial commit (#19757)
  
• [PERFORMANCE] Layer normalization code from Marian for CPU (#19601)
  
• fixed macros with name (#19669)
  
• Fix local variable ‘optimizer’ referenced before assignment (#19666)
  
• Support destructors for custom stateful ops (#19607)
  
• Remove obsolete six dependency (#19620)
  
• Backport Faster pointwise fusion graph pass (#19269) (#19413)
  
• Don’t use namespace for pow() function, since it is built into cuda math library, and cast the second - - argument so it will find an acceptable form. (#19532)
  
• backport #19037 (#19514)
  
• Allow eliminating common subexpressions when temp space is used (#19487)
  
• Fix h5py version on (#nto)
  
• Relaxing type requirements for broadcast_like (#17977) (#19447)
  
• initial disclaimer update (#19402) (#19415)
  
• backport slice assign large tensor fix (#19399)
  
• Fix SoftReLU fused operator numerical stability (#17849) (#19391)
  
• backport #19393 to v1.x (#19396)
  
• Remove extra --build-arg causing docker command to fail. (#19411)
  
• backport fixes in master branch (#19356)
  
• Remove build_ccache_wrappers invocation from R-package unittests (#19305)
  
• Refactor cmake cpp-package & add missing inference/imagenet_inference (#19228)
  
• Backport PRs in v1.7.x missing from v1.x to v1.8.x (#19262) (#19281)
  
• fixing breaking change introduced in #17123 when batch_axis=0 (#19267)
  
• Backport of #19078 (#19095)
  
• added key for samskalicky (#19224)
  
• delete executor before reallocating it memory (#19214)
  
• Nightly Large Tensor test cherrypicks (#19194)
  
• Updated v1.x to version 1.9 after branching v1.8.x (#19196)
  
• Fix flaky test #19197 by avoiding case that 0.45 mapped to 0.5 (#19201)
  
• Tweeking syntax to be closer to other tests (#19186)
  
• Add code signing key (#20276)