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Apache MXNet (incubating) 1.9.0
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@samskalicky samskalicky released this 21 May 15:41
· 44 commits to v1.9.x since this release
1.9.0
8173b85
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Features

ONNX

  • ONNX fix node output sort (#20327)
  • fix embedding and output order (#20305)
  • 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_matmul_selfatt_* 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)
  • Use centos7 base image for CD pipeline and aarch64 build (#20423)

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)
  • License updates per ASF feedback (#20377)
  • License updates per feedback (#20428)
  • Just remove image classification CPP example from source tarball. (#20530)
  • [License] Remove mistakenly placed ASF headers (#20520)
  • modify erfinv implementation based on scipy (#20517)
  • Add copyright detection and removal in license checker (#20498)
  • Make sure files with 2 licenses are listed properly in LICENSE. (#20492)
  • Remove the "copyright by contributors" line in source files (#20493)

Website improvements

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

Bug fixes & misc

  • stop closing opened libs (#20523)
  • 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)
  • Update git repo reference (#20496)
Assets 5