# 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.

New Onnx ops support added (<https://github.com/eclipse/deeplearning4j/pull/9663>):

1. AliasWithName
2. CumSum
3. GenerateProposals
4. Loop
5. ResizeNearest
6. SequenceAt
7. SequenceConstruct
8. SequenceEmpty
9. SequenceErase
10. SequenceInsert
11. SequenceLength

3D Convolution Pooling serialization fixes for keras&#x20;

Fix up training gradient propagation:  <https://github.com/eclipse/deeplearning4j/pull/9664>

Significant changes for migration of NEC Aurora backend to VEDA:&#x20;

1. <https://github.com/eclipse/deeplearning4j/pull/9659>
2. <https://github.com/eclipse/deeplearning4j/pull/9678>
3. <https://github.com/eclipse/deeplearning4j/pull/9726>
4. <https://github.com/eclipse/deeplearning4j/pull/9723>
5. <https://github.com/eclipse/deeplearning4j/pull/9705>

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.

## Nd4j/Samdiff/Libnd4j

### Features and Enhancements

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

### Bug Fixes

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

## Deeplearning4j

### Features and Enhancements

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

### Bug Fixes

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

## Datavec

### &#x20; <br>

## Omnihub

## Python4j

1. Significant performance improvements for python4j: <https://github.com/eclipse/deeplearning4j/pull/9688>