5090 update changelog for v1.0.0 (#5139)

Signed-off-by: Wenqi Li <wenqil@nvidia.com>

part of #5090

### Description
update the changelog

please see also the backward compatibility guide:
https://github.com/Project-MONAI/MONAI/blob/dev/CONTRIBUTING.md#backwards-compatibility

### Types of changes
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Non-breaking change (fix or new feature that would not break
existing functionality).
- [ ] Breaking change (fix or new feature that would cause existing
functionality to change).
- [ ] New tests added to cover the changes.
- [ ] Integration tests passed locally by running `./runtests.sh -f -u
--net --coverage`.
- [ ] Quick tests passed locally by running `./runtests.sh --quick
--unittests --disttests`.
- [ ] In-line docstrings updated.
- [ ] Documentation updated, tested `make html` command in the `docs/`
folder.

Signed-off-by: Wenqi Li <wenqil@nvidia.com>

Author: wyli

CHANGELOG.md

@@ -5,6 +5,53 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ## [Unreleased]
 
+## [1.0.0] - 2022-09-16
+### Added
+* `monai.auto3dseg` base APIs and `monai.apps.auto3dseg` components for automated machine learning (AutoML) workflow
+* `monai.fl` module with base APIs and `MonaiAlgo` for federated learning client workflow
+* An initial backwards compatibility [guide](https://github.com/Project-MONAI/MONAI/blob/dev/CONTRIBUTING.md#backwards-compatibility)
+* Initial release of accelerated MRI reconstruction components, including `CoilSensitivityModel`
+* Support of `MetaTensor` and new metadata attributes for various digital pathology components
+* Various `monai.bundle` enhancements for MONAI model-zoo usability, including config debug mode and `get_all_bundles_list`
+* new `monai.transforms` components including `SignalContinuousWavelet` for 1D signal, `ComputeHoVerMaps` for digital pathology, and `SobelGradients` for spatial gradients
+* `VarianceMetric` and `LabelQualityScore` metrics for active learning
+* Dataset API for real-time stream and videos
+* Several networks and building blocks including `FlexibleUNet` and `HoVerNet`
+* `MeanIoUHandler` and `LogfileHandler` workflow event handlers
+* `WSIReader` with the TiffFile backend
+* Multi-threading in `WSIReader` with cuCIM backend
+* `get_stats` API in `monai.engines.Workflow`
+* `prune_meta_pattern` in `monai.transforms.LoadImage`
+* `max_interactions` for deepedit interaction workflow
+* Various profiling utilities in `monai.utils.profiling`
+### Changed
+* Base Docker image upgraded to `nvcr.io/nvidia/pytorch:22.08-py3` from `nvcr.io/nvidia/pytorch:22.06-py3`
+* Optionally depend on PyTorch-Ignite v0.4.10 instead of v0.4.9
+* The cache-based dataset now matches the transform information when read/write the cache
+* `monai.losses.ContrastiveLoss` now infers `batch_size` during `forward()`
+* Rearrange the spatial axes in `RandSmoothDeform` transforms following PyTorch's convention
+* Unified several environment flags into `monai.utils.misc.MONAIEnvVars`
+* Simplified `__str__` implementation of `MetaTensor` instead of relying on the `__repr__` implementation
+### Fixed
+* Improved error messages when both `monai` and `monai-weekly` are pip-installed
+* Inconsistent pseudo number sequences for different `num_workers` in `DataLoader`
+* Issue of repeated sequences for `monai.data.ShuffleBuffer`
+* Issue of not preserving the physical extent in `monai.transforms.Spacing`
+* Issue of using `inception_v3` as the backbone of `monai.networks.nets.TorchVisionFCModel`
+* Index device issue for `monai.transforms.Crop`
+* Efficiency issue when converting the array dtype and contiguous memory
+### Deprecated
+* `Addchannel` and `AsChannelFirst` transforms in favor of `EnsureChannelFirst`
+* `monai.apps.pathology.data` components in favor of the corresponding components from `monai.data`
+* `monai.apps.pathology.handlers` in favor of the corresponding components from `monai.handlers`
+### Removed
+* `Status` section in the pull request template in favor of the pull request draft mode
+* `monai.engines.BaseWorkflow`
+* `ndim` and `dimensions` arguments in favor of `spatial_dims`
+* `n_classes`, `num_classes` arguments in `AsDiscrete` in favor of `to_onehot`
+* `logit_thresh`, `threshold_values` arguments in `AsDiscrete` in favor of `threshold`
+* `torch.testing.assert_allclose` in favor of `tests.utils.assert_allclose`
+
 ## [0.9.1] - 2022-07-22
 ### Added
 * Support of `monai.data.MetaTensor` as core data structure across the modules
@@ -561,7 +608,8 @@ the postprocessing steps should be used before calling the metrics methods
 
 [highlights]: https://github.com/Project-MONAI/MONAI/blob/master/docs/source/highlights.md
 
-[Unreleased]: https://github.com/Project-MONAI/MONAI/compare/0.9.1...HEAD
+[Unreleased]: https://github.com/Project-MONAI/MONAI/compare/1.0.0...HEAD
+[1.0.0]: https://github.com/Project-MONAI/MONAI/compare/1.0.0...HEAD
 [0.9.1]: https://github.com/Project-MONAI/MONAI/compare/0.9.0...0.9.1
 [0.9.0]: https://github.com/Project-MONAI/MONAI/compare/0.8.1...0.9.0
 [0.8.1]: https://github.com/Project-MONAI/MONAI/compare/0.8.0...0.8.1

requirements-dev.txt

@@ -38,7 +38,7 @@ tifffile; platform_system == "Linux"
 pandas
 requests
 einops
-transformers
+transformers!=4.22.0
 mlflow
 matplotlib!=3.5.0
 tensorboardX