changelog update

CHANGELOG.md

@@ -1,8 +1,9 @@
 # Pending additions
-- [#717] (https://github.com/helmholtz-analytics/heat/pull/717) Switch CPU CI over to Jenkins and pre-commit to GitHub action.
-- [#720] (https://github.com/helmholtz-analytics/heat/pull/720) Ignore test files in codecov report and allow drops in code coverage.
+- [#717](https://github.com/helmholtz-analytics/heat/pull/717) Switch CPU CI over to Jenkins and pre-commit to GitHub action.
+- [#720](https://github.com/helmholtz-analytics/heat/pull/720) Ignore test files in codecov report and allow drops in code coverage.
 
 ## New features
+- [#660](https://github.com/helmholtz-analytics/heat/pull/660) NN module for data parallel neural networks
 - [#680](https://github.com/helmholtz-analytics/heat/pull/680) New property: larray
 - [#683](https://github.com/helmholtz-analytics/heat/pull/683) New properties: nbytes, gnbytes, lnbytes
 - [#687](https://github.com/helmholtz-analytics/heat/pull/687) New DNDarray property: balanced
@@ -19,13 +20,14 @@
 ### Statistical Functions
 - [#679](https://github.com/helmholtz-analytics/heat/pull/679) New feature: ``histc()`` and ``histogram()``
 ### Linear Algebra
-### NN
-- [#625](https://github.com/helmholtz-analytics/heat/pull/625) New submodule: `nn.DataParallel` for creating and training data parallel neural networks
-- [#625](https://github.com/helmholtz-analytics/heat/pull/625) New feature: Synchronous and Asynchronous gradient updates availble for `ht.nn.DataParallel`
-- [#625](https://github.com/helmholtz-analytics/heat/pull/625) New feature: `utils.data.datatools.DataLoader` for created a local `torch.utils.data.Dataloader` for use with `ht.nn.DataParallel`
-- [#625](https://github.com/helmholtz-analytics/heat/pull/625) New feature: `utils.data.datatools.Dataset` for created a local `torch.utils.data.Dataset` for use with `ht.nn.DataParallel`
-- [#625](https://github.com/helmholtz-analytics/heat/pull/625) Added MNIST example to `example/nn` to show the use of `ht.nn.DataParallel`. The `MNISTDataset` can be found in `ht.utils.data.mnist.py`
 - [#658](https://github.com/helmholtz-analytics/heat/pull/658) Bugfix: `matmul` on GPU will cast away from `int`s to `float`s for the operation and cast back upon its completion. This may result in numerical inaccuracies for very large `int64` DNDarrays
+### NN
+- [#660](https://github.com/helmholtz-analytics/heat/pull/660) New submodule: `nn.DataParallel` for creating and training data parallel neural networks
+- [#660](https://github.com/helmholtz-analytics/heat/pull/660) New feature: Synchronous and Asynchronous gradient updates availble for `ht.nn.DataParallel`
+- [#660](https://github.com/helmholtz-analytics/heat/pull/660) New feature: `utils.data.datatools.DataLoader` for created a local `torch.utils.data.Dataloader` for use with `ht.nn.DataParallel`
+- [#660](https://github.com/helmholtz-analytics/heat/pull/660) New feature: `utils.data.datatools.Dataset` for created a local `torch.utils.data.Dataset` for use with `ht.nn.DataParallel`
+- [#660](https://github.com/helmholtz-analytics/heat/pull/660) Added MNIST example to `example/nn` to show the use of `ht.nn.DataParallel`. The `MNISTDataset` can be found in `ht.utils.data.mnist.py`
+- [#660](https://github.com/helmholtz-analytics/heat/pull/660) New feature: Data loader for H5 datasets which shuffles data in the background during training (`utils.data.partial_dataset.PartialH5Dataset`)
 ### Logical
 - [#711](https://github.com/helmholtz-analytics/heat/pull/711) `isfinite()`, `isinf()`, `isnan()`