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Changelog

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

apache/mxnet·

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mxnet

Last updated over 2 years ago

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ImprovedMarch 8, 2022

Apache MXNet (incubating) 2.0.0.beta1 Release Candidate 1

Features

Implementations and Improvements

Array-API Standardization

[API] Extend NumPy Array dtypes with int16, uint16, uint32, uint64 (#20478)
[API Standardization] Add Linalg kernels: (diagonal, outer, tensordot, cross, trace, matrix_transpose) (#20638)
[API Standardization]Standardize MXNet NumPy Statistical & Linalg Functions (#20592)
[2.0] Bump Python to >= 3.8 (#20593)
[API] Add positive (#20667)
[API] Add logaddexp (#20673)
[API] Add linalg.svdvals (#20696)
[API] Add floor_divide (#20620)
[API STD][SEARCH FUNC] Add keepdims=False to argmax/argmin (#20692)
[API NEW][METHOD] Add mT, permute_dims (#20688)
[API] Add bitwise_left/right_shift (#20587)
[API NEW][ARRAY METHOD] Add Index() and array_namespace() (#20689)
[API STD][LINALG] Standardize sort & linalg operators (#20694)
[API NEW][SET FUNC] Add set functions (#20693)
[API] Standardize MXNet NumPy creation functions (#20572)

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[operator] Integrate oneDNN layer normalization implementation (#19562)
Change inner mxnet flags nomenclature for oneDNN library (#19944)
Change MXNET_MKLDNN_DEBUG define name to MXNET_ONEDNN_DEBUG (#20031)
Change mx_mkldnn_lib to mx_onednn_lib in Jenkins_steps.groovy file (#20035)
Fix oneDNN feature name in MxNET (#20070)
Change MXNET_MKLDNN* flag names to MXNET_ONEDNN* (#20071)
Change _mkldnn test and build scenarios names to _onednn (#20034)
[submodule] Upgrade oneDNN to v2.2.1 (#20080)
[submodule] Upgrade oneDNN to v2.2.2 (#20267)
[operator] Integrate matmul primitive from oneDNN in batch dot (#20340)
[submodule] Upgrade oneDNN to v2.2.3 (#20345)
[submodule] Upgrade oneDNN to v2.2.4 (#20360)
[submodule] Upgrade oneDNN to v2.3 (#20418)
Fix backport of SoftmaxOutput implementation using onednn kernels (#20459)
[submodule] Upgrade oneDNN to v2.3.2 (#20502)
[FEATURE] Add oneDNN support for npx.reshape and np.reshape (#20563)
[Backport] Enabling BRGEMM FullyConnected based on shapes (#20568)
[BACKPORT][BUGFIX][FEATURE] Add oneDNN 1D and 3D deconvolution support and fix bias (#20292)
[FEATURE] Enable dynamic linking with MKL and compiler based OpenMP (#20474)
[Performance] Add oneDNN support for temperature parameter in Softmax (#20567)
[FEATURE] Add oneDNN support for numpy concatenate operator (#20652)
[master] Make warning message when oneDNN is turned off less confusing (#20700)
[FEATURE] add oneDNN support for numpy transpose (#20419)
Reintroduce next_impl in onednn deconvolution (#20663)
Unify all names used to refer to oneDNN library in logs and docs to oneDNN (#20719)
Improve stack operator performance by oneDNN (#20621)
[submodule] Upgrade oneDNN to v2.3.3 (#20752)
Unifying oneDNN post-quantization properties (#20724)
Add oneDNN support for reduce operators (#20669)
Remove identity operators from oneDNN optimized graph (#20712)
Fix oneDNN fallback for concat with scalar (#20772)
Fix identity fuse for oneDNN (#20767)
Improve split operator by oneDNN reorder primitive (#20757)
Remove doubled oneDNN memory descriptor creation (#20822)
[FEATURE] Integrate oneDNN support for add, subtract, multiply, divide. (#20713)
[master] 2022.00 MKL' version, update (#20865)
Add oneDNN support for "where" operator (#20862)
[master] Implemented oneDNN Backward Adaptive Pooling kernel (#20825)
Improve MaskedSoftmax by oneDNN (#20853)
[Feature] Add bfloat to oneDNN version of binary broadcast operators. (#20846)
[submodule] Upgrade oneDNN to v2.5.2 (#20843)
Make convolution operator fully work with oneDNN v2.4+ (#20847)
[FEAUTURE] Fuses FC + elemwise_add operators for oneDNN (#20821)
[master][submodule] Upgrade oneDNN to v2.5.1 (#20662)

Fix static website build (#19906)
[website] Fix broken website for master version (#19945)
add djl (#19970)
[website] Automate website artifacts uploading (#19955)
Grammar fix (added period to README) (#19998)
[website] Update for MXNet 1.8.0 website release (#20013)
fix format issue (#20022)
[DOC]Disabling hybridization steps added (#19986)
[DOC] Add Flower to MXNet ecosystem (#20038)
doc add relu (#20193)
Avoid UnicodeDecodeError in method doc on Windows (#20215)
updated news.md and readme.md for 1.8.0 release (#19975)
[DOC] Update Website to Add Prerequisites for GPU pip install (#20168)
update short desc for pip (#20236)
[website] Fix Jinja2 version for python doc (#20263)
[Master] Auto-formatter to keep the same coding style (#20472)
[DOC][v2.0] Part1: Link Check (#20487)
[DOC][v2.0] Part3: Evaluate Notebooks (#20490)
If variable is not used within the loop body, start the name with an underscore (#20505)
[v2.0][DOC] Add migration guide (#20473)
[Master] Clang-formatter: only src/ directory (#20571)
[Website] Fix website publish (#20573)
[v2.0] Update Examples (#20602)
Attempt to fix website build pipeline (#20634)
[Master] Ignoring mass reformatting commits with git blame (#20578)
[Feature][Master] Clang-format tool to perform additional formatting and semantic checking of code. (#20433)
[Master] Clang-format description on a wiki (#20612)
Add: break line entry before tenary (#20705)
Fix csr param description (#20698)
[master] Bring dnnl_readme.md on master up-to-date (#20670)
Remove extra spaces between 'if' (#20721)
[DOC] Fix migration guide document (#20716)
[master][clang-format] Re-format cc. .h. .cu files; cond. (#20704)
[master][style-fix] Clang-format comment style fix (#20744)
Port #20786 from v1.9.x (#20787)
remove broken links (#20793)
Fix broken download link, reformat download page to make links more clear. (#20794) (#20796)
[website] Move trusted-by section from main page to a new page (#20788)
[DOC] Add Kubeflow to MXNet ecosystem (#20804)
Add the 1.9 release notice in README (#20806)
fix python docs ci (#20903)
[website] Add CPU quantization tutorial (#20856)
[DOC] Large tensors documentation update (#20860)
[DOC] Change of confusing Large Tensors documentation (#20831)
Fix data-api links (#20879)
Add quantization API doc and oneDNN to migration guide (#20813)
Fix data-api links (#20867)
[master] Avoid dots, full path to a file. (#20751)

Mark test_masked_softmax as flaky and skip subgraph tests on windows (#19908)
Removed 3rdparty/openmp submodule (#19953)
[BUGFIX] Fix AmpCast for float16 (#19749) (#20003)
fix bugs for encoding params (#20007)
Fix for test_lans failure (#20036)
add flaky to norm (#20091)
Fix dropout and doc (#20124)
Revert "add flaky to norm (#20091)" (#20125)
Fix broadcast_like (#20169)
[BUGFIX] Add check to make sure num_group is non-zero (#20186)
Update CONTRIBUTORS.md (#20200)
Update CONTRIBUTORS.md (#20201)
[Bugfix] Fix take gradient (#20203)
Fix workspace of BoxNMS (#20212)
[BUGFIX][BACKPORT] Impose a plain format on padded concat output (#20129)
[BUGFIX] Fix Windows GPU VS2019 build (#20206) (#20207)
[BUGFIX]try avoid the error in operator/tensor/amp_cast.h (#20188)
[BUGFIX] Fix Windows GPU VS2019 build (#20206) (#20207)
[BUGFIX] fix #18936, #18937 (#19878)
[BUGFIX] fix numpy op fallback bug when ndarray in kwargs (#20233)
[BUGFIX] Fix test_zero_sized_dim save/restore of np_shape state (#20365)
[BUGFIX] Fix quantized_op + requantize + dequantize fuse (#20323)
[BUGFIX] Switch hybrid_forward to forward in test_fc_int8_fp32_outputs (#20398)
[2.0] fix benchmark and nightly tests (#20370)
[BUGFIX] fix log_sigmoid bugs (#20372)
[BUGFIX] fix npi_concatenate quantization dim/axis (#20383)
[BUGFIX] enable test_fc_subgraph.py::test_fc_eltwise (#20393)
[2.0] make npx.load support empty .npz files (#20403)
change argument order (#20413)
[BUGFIX] Add checks in BatchNorm's infer shape (#20415)
[BUGFIX] Fix Precision (#20421)
[v2.0] Add Optim Warning (#20426)
fix (#20534)
Test_take, add additional axis (#20532)
[BUGFIX] Fix (de)conv (#20597)
[BUGFIX] Fix NightlyTestForBinary in master branch (#20601)
change nd -> np in imagenet_gen_qsym_onedenn.py (#20399)
[Master][CI][Bugfix] Clang-format-13 file needs to have right license header and install clang-format package. (#20658)
Disable debug log to avoid duplications (#20665)
Permlink changes (#20674)
A clang-format file can be removed from .gitignore (#20664)
[2.0] Update Sparse Feature Related Error Message (#20402)
[master][tests] init' file to avoid undefined variables (#20701)
[BUGFIX] Fix #20293 (#20462)
[master][bugfix] Zero initialization to avoid error message on a Centos (#20582)
[2.0] Fix devices issues (#20732)
Fix test_numpy_op tests & lacking asserts (#20756)
Fix link check (#20773)
[KEYS] remove keys on master branch (#20764)
[BUGFIX] Type fix for large tensors (#20922)
add Bartłomiej as committer (#20896)
[master] Fix issue with even number of channels in BatchNorm (#20907)
Resolve the conflict with PR#20499 (#20887)
The size of a stack needs to be greather than 4; by default is 8 (#20581)
ensure type consistent with legacy nvml api (#20499)
Fix issue with LogMessageFatal (#20848)

mxnet

Apache MXNet (incubating) 2.0.0.beta1 Release Candidate 1

Features

Implementations and Improvements

Array-API Standardization

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Implementations and Improvements

Array-API Standardization

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Miscs

Language Bindings

MKL & OneDNN

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License

Bug Fixes and Others

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