From 38b24dc85137ad0bf9f7ec724ed2b531c6d02b1b Mon Sep 17 00:00:00 2001
From: Igor Shilov <shilov@fb.com>
Date: Fri, 9 Sep 2022 09:33:17 -0700
Subject: [PATCH] release v1.2.0 (#500)

Summary:
subj

Pull Request resolved: https://github.com/pytorch/opacus/pull/500

Reviewed By: ashkan-software

Differential Revision: D39386971

Pulled By: ffuuugor

fbshipit-source-id: a8d8c813d4c8891ceaf9d249a8d02fec38e502c5
---
 CHANGELOG.md      | 20 ++++++++++++++++++++
 opacus/version.py |  2 +-
 2 files changed, 21 insertions(+), 1 deletion(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 1dcbea70..375cdf17 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,25 @@
 # Changelog
 
+## v1.2
+
+### New ways to compute per sample gradients
+We're glad to present Opacus v1.2, which contains some major updates to per sample gradient computation mechanisms 
+and includes all the good stuff from the recent PyTorch releases.
+* Functorch - per sample gradients for all
+* ExpandedWeights - yet another way to compute per sample gradients
+* See [Release notes](https://github.com/pytorch/opacus/releases/tag/v1.2.0) 
+  and [GradSampleModule README](https://github.com/pytorch/opacus/blob/main/opacus/grad_sample/README.md) 
+  for detailed feature explanation
+  
+### Other improvements
+* Fix `utils.unfold2d` with non-symmetric pad/dilation/kernel_size/stride (#443)
+* Add support for "same" and "valid" padding for hooks-based grad sampler for convolution layers
+* Improve model validation to support frozen layers and catch copied parameters (#489)
+* Remove annoying logging from `set_to_none` (#471)
+* Improved documentation (#480, #478, #482, #485, #486, #487, #488)
+* Imtegration test improvements (#407, #479, #481. #473)
+
+
 ## v1.1.3
 ### Bug fixes
 * Support layers with a mix of frozen and learnable parameters (#437)
diff --git a/opacus/version.py b/opacus/version.py
index 541f21b5..6ee276d8 100644
--- a/opacus/version.py
+++ b/opacus/version.py
@@ -13,4 +13,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__ = "1.1.3"
+__version__ = "1.2.0"