github apache/mxnet 1.8.0.rc0
Apache MXNet (incubating) 1.8.0 Release Candidate 0

latest releases: 1.9.1, 1.9.1.rc0, 2.0.0.beta1...
pre-release4 years ago

Features

CUDA Graphs

  • Enable CUDA Graphs for TRT (#19184)

  • CUDA graphs support (#19142)

    CUDA 11 Support

  • Update CUB and include it only for CUDA < 11 #18799' (#18975)

  • Add new CI pipeline for building and testing with cuda 11.0. (#19149)

    TensorRT

  • TensorRT: add int8 with calibration (#19011)

  • Add TRT verbose mode (#19100)

  • Backporting TensorRT-Gluon Partition API (and TensorRT 7 support) (#18916)

    OneDNN

  • Upgrade to oneDNN v1.6.3 (#19153) (#19161)

  • Update oneDNN to official v1.6 release (#18867) (#18867)

  • Upgrade to oneDNN v1.6 (#18822)

    IntGemm

  • Backport of intgemm #17559 (#19099)

    Subgraph API

  • Backport Fix for duplicate subgraph inputs/outputs (#16131) (#19112)

    Extensions

  • Backport #19103 (#19117)

  • Backporting #19016 (#19069)

  • Backport: Change Partition API's options_map to std::unordered_map #18929 (#18964)

  • Backporting #18779 to v1.x (#18894)

    ONNX

  • Update onnx support to work with onnx 1.7.0 with most CV models (#19017)

    Large Tensor

  • Fix linalg_potri and linalg_potrf operators for large tensor. (#18752)

  • Add forward, backward test for linalg.gemm2 (#18784)

  • Add large matrix tests for linalg ops: det, inverse, trsm, trmm (#18744)

  • Add Large Tensor Test for linalg_syrk (#18782)

  • Add Large Dim Checks for linalg Operators (#18816)

  • Add forward & backward linalg.gemm test for large size (#18825)

  • Adding error message when attempting to use Large tensor with linalg_syevd (#18807)

    Website Improvements

  • v1.8 website patch (#19212)

    Documentation

  • Fix mxnet.test_utils.check_numeric_gradient documentation (#19060)

  • Update windows_setup.md (#18874)

    License

  • Stop packaging GPL libquadmath.so (#19055)

  • Remove mention of nightly in pypi (#18635) (#18884)

  • Mkldnn header fix v1x for nightly binaries (#18797)

    CI Improvements

  • Upgrade unix gpu toolchain (#18186) (#18785)

  • Fix CI in v1.x branch (#18907)

    Bug Fixes

  • Delete executor before reallocating it memory (#19222)

  • Nightly Large Tensor test cherrypicks (#19194) (#19215)

  • Tweeking syntax to be closer to other tests (#19186) (#19206)

  • ElementWiseSum fix for oneDNN (#18777) (#19200)

  • Fix flaky intgemm test in v1.8.x too (#19204)

  • Revert "Fix memory leaks in Gluon (#18328) (#18359)" (#19181)

  • Improve environment variable handling in unittests (#18424) (#19173)

  • Unittest tolerance handling improvements (#18694). Also test seeding (#18762). (#19148)

  • Fix the error of gradient of np.pad (#19044) (#19167)

  • Add cmake flag USE_FATBIN_COMPRESSION, ON by default (#19123) (#19158)

  • SymbolBlock.imports ignore_extra & allow_missing (#19156)

  • Fix race condition in NaiveEngine::PushAsync (#19108) (#19122)

  • Empty list cannot be cleared issue fixed. (#14882)

  • Update base_module.py (#19096)

  • Fix block.export (#17970) (#19075)

  • Support for fp16 in SpM x DnsM on GPU (#18930) (#19074)

  • Fix LeakyRelu behaviour on empty input (#18934) (#19009)

  • Get rid of monkey patching in LossScaler overflow handling (#18959) (#18973)

  • Remove upper bound (#18857) (#18910)

  • Fix gelu to use erf based algorithm (#18827) (#18946)

  • Fix for Clojure failure on #18883 (#18945)

  • Backward inference from 2.x #18348 and #18378 (#18895)

  • Invoke mkldnn and cudnn BatchNorm when axis != 1 to v1.7.x (#18676) (#18890)

  • Bump version to 1.8.0 (#18899)

  • Fixing ONNX spatial export for batchnorm (#17711) (#18846)

  • Fix softmax, logsoftmax failed on empty ndarray (#18602) (#18708)

  • Add unit tests for potri and potrf backward and check output shape in unit tests. (#18803)

  • Add syrk test shape check (#18812)

  • Back port optimization to broadcast_axis to MXNet1.x (#18773)

  • Fix crash when accessing already destructed static variables (#18768) (#18778)

  • Jetpack fixes #18677 #18713 (#18742)

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