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Release version 1.6.0 #817

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25 changes: 25 additions & 0 deletions CHANGELOG.md
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# Changelog

## v1.6.0

### New features

#### Better interoperability with modern training stacks
* Add non-wrapping mode for better compatibility with Transformers, Accelerate, and libraries that expect the original module hierarchy (`wrap_model=False`) (#794)
* Add arithmetic operations support to `DPTensorFastGradientClipping`, making it easier to integrate Opacus with custom loss compositions and external trainers (#805)

#### Distributed and large-model training
* Add support for Fully Sharded Data Parallel (FSDP) training, including a tutorial and a new example (#761,#772,#781,#782)
* Add support for mixed and low precision training (#764)
* Add 1D tensor parallelism support for fast gradient clipping, together with toy and Llama examples; this support is currently beta (#776)

#### Others
* Add ability to register custom noise accountants (#784)

### Bug fixes
* Fix epsilon/noise accounting when using adaptive gradient clipping (#807, #779)
* Fix fast gradient clipping when using `ignore_index` masking, so ignored tokens do not affect the reduced loss incorrectly (#808)
* Replace empty-batch handling inside `DPDataLoader` with a structure-aware approach, fixing failures for custom batch structures under Poisson sampling (#806)
* Treat `IAccountant.mechanism` correctly during `state_dict` handling (#778)

### Compatibility
* Require `torch>=2.6.0` (#770)

## v1.5.4

### New features
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2 changes: 1 addition & 1 deletion opacus/version.py
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# See the License for the specific language governing permissions and
# limitations under the License.

__version__ = "1.5.4"
__version__ = "1.6.0"
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