update changelog for v0.9.1 (#4744)

* update changelog

Signed-off-by: Wenqi Li <[email protected]>

* remove warning msg

Signed-off-by: Wenqi Li <[email protected]>

* update n workers for smaller testing memory usage

Signed-off-by: Wenqi Li <[email protected]>

Author: wyli

Diff for: CHANGELOG.md

@@ -9,6 +9,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.
 ## [0.9.1] - 2022-07-22
 ### Added
 * Support of `monai.data.MetaTensor` as core data structure across the modules
+* Support of `inverse` in array-based transforms
 * `monai.apps.TciaDataset` APIs for The Cancer Imaging Archive (TCIA) datasets, including a pydicom-backend reader
 * Initial release of components for MRI reconstruction in `monai.apps.reconstruction`, including various FFT utilities
 * New metrics and losses, including mean IoU and structural similarity index
@@ -27,6 +28,11 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.
 * Wrong generalized Dice score metric when denominator is 0 but prediction is non-empty
 * Docker image build error due to NGC CLI upgrade
 * Optional default value when parsing id unavailable in a ConfigParser instance
+* Immutable data input for the patch-based WSI datasets
+### Deprecated
+* `*_transforms` and `*_meta_dict` fields in dictionary-based transforms in favor of MetaTensor
+* `meta_keys`, `meta_key_postfix`, `src_affine` arguments in various transforms, in favor of MetaTensor
+* `AsChannelFirst` and `AddChannel`, in favor of `EnsureChannelFirst` transform
 
 ## [0.9.0] - 2022-06-08
 ### Added

Diff for: monai/transforms/spatial/array.py

@@ -2192,8 +2192,6 @@ def __call__(
         out = self.resampler(img, grid=grid, mode=_mode, padding_mode=_padding_mode)
         if not isinstance(out, MetaTensor):
             return out if self.image_only else (out, affine)
-        if not self.norm_coord:
-            warnings.warn("customized transform may not work with the metadata operation.")
         if get_track_meta():
             out.meta = img.meta  # type: ignore
             self.update_meta(out, affine, img_size, sp_size)

Diff for: tests/test_lr_finder.py

@@ -69,9 +69,9 @@ def test_lr_finder(self):
                 section="validation",
                 val_frac=0.001,
                 download=True,
-                num_workers=10,
+                num_workers=2,
             )
-        train_loader = DataLoader(train_ds, batch_size=300, shuffle=True, num_workers=10)
+        train_loader = DataLoader(train_ds, batch_size=300, shuffle=True, num_workers=2)
         num_classes = train_ds.get_num_classes()
 
         model = DenseNet(