Deeplearning4j
EN 1.0.0-M2.1
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1.0.0-M2.1

Highlights

Significant changes for views being used within nd4j and samediff via the create_view op allow for users to directly leverage views in combination with graph operations reducing allocations and allowing for increased performance.
Cuda 11.4 and 11.6 added. Add nd4j-cuda-11.4 and nd4j-cuda-11.6 to your dependencies.
  1. 1.
    AliasWithName
  2. 2.
    CumSum
  3. 3.
    GenerateProposals
  4. 4.
    Loop
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    ResizeNearest
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    SequenceAt
  7. 7.
    SequenceConstruct
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    SequenceEmpty
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    SequenceErase
  10. 10.
    SequenceInsert
  11. 11.
    SequenceLength
3D Convolution Pooling serialization fixes for keras
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Fix up training gradient propagation: https://github.com/eclipse/deeplearning4j/pull/9664​
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Significant changes for migration of NEC Aurora backend to VEDA:
More fixes for mac osx arm64, please feel free to report an issue if anything comes up: https://github.com/eclipse/deeplearning4j/pull/9731​
Upgrade protobuf to 3.21.2
Migrate project to java 11 and newer: https://github.com/eclipse/deeplearning4j/pull/9738​
Enhanced performance for python4j: https://github.com/eclipse/deeplearning4j/pull/9688 (more to be added) thanks to https://github.com/subes for the suggestions for the improvements.
Removes spark 2 support.
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Nd4j/Samdiff/Libnd4j

Features and Enhancements

  1. 1.
    Add label serialization for multi
  2. 2.
    Allow using fast path for results as well: https://github.com/eclipse/deeplearning4j/pull/9729​
  3. 3.
    Fix up concurrency issue in ticketing framework: https://github.com/eclipse/deeplearning4j/pull/9721 Thanks PZA from: https://github.com/wehowsky
  4. 4.
    Indexing changes: https://github.com/eclipse/deeplearning4j/pull/9690​
  5. 5.
    Add graalvm support for onnx/tensorflow import framework annotations: https://github.com/eclipse/deeplearning4j/pull/9718​
  6. 6.
    Add more op definitions for sd.linalg: https://github.com/eclipse/deeplearning4j/pull/9681​
  7. 7.
    Allow more tolerance for samediff serialization for model import issues: https://github.com/eclipse/deeplearning4j/pull/9745​

Bug Fixes

  1. 1.
    Enable Gather Gradient: https://github.com/eclipse/deeplearning4j/pull/9674​
  2. 2.
    Fix up tri, samediff training: https://github.com/eclipse/deeplearning4j/pull/9672​
  3. 3.
    Fix up SVD: https://github.com/eclipse/deeplearning4j/pull/9673​
  4. 4.
    Fix up tri + cuda: https://github.com/eclipse/deeplearning4j/pull/9730​
  5. 5.
    Fix up null checks with samediff variable getArr(): https://github.com/eclipse/deeplearning4j/pull/9701​
  6. 6.
    Fix up buffer overflow where databufferand length do not match: https://github.com/eclipse/deeplearning4j/pull/9713​

Deeplearning4j

Features and Enhancements

  1. 1.
    Add label saving for computation graph, multiayernetwork; https://github.com/eclipse/deeplearning4j/pull/9672​
  2. 2.
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Bug Fixes

  1. 1.
    Fix confusion matrix count increments: https://github.com/eclipse/deeplearning4j/pull/9553​
  2. 2.
    Fix Conv3D data format serialization: https://github.com/eclipse/deeplearning4j/pull/9648​
  3. 3.
    Add keras import aliases for more recent versions: https://github.com/eclipse/deeplearning4j/pull/9704​
  4. 4.
    Misc bug fixes for views in deeplearning4j-nn: https://github.com/eclipse/deeplearning4j/pull/9689​
  5. 5.
    Fix up wordvectorserializer: https://github.com/eclipse/deeplearning4j/pull/9728 Thanks to https://github.com/j-d-o!
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Datavec

Omnihub

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Python4j

  1. 1.
    Significant performance improvements for python4j: https://github.com/eclipse/deeplearning4j/pull/9688​
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Last modified 9mo ago