release v1.4 (#563)

Summary:
subj

Pull Request resolved: #563

Reviewed By: alexandresablayrolles, Anonymani, karthikprasad

Differential Revision: D43242386

Pulled By: ffuuugor

fbshipit-source-id: 0843a298209cb424e5f4578d128307f7593835f4

Author: Igor Shilov

CHANGELOG.md

@@ -1,5 +1,20 @@
 # Changelog
 
+## v1.4
+
+Highlight: Upgraded to PyTorch 1.13+ as required dependency
+
+### New features
+* Added clipping schedulers (#556)
+* Util to check per sample gradients (#532)
+
+### Bug fixes
+* Align DataLoader interface with vanilla PyTorch (#543)
+* Fix GDP accountant epsilon retrieval changing internal state (#541)
+* Add option to specify number of steps in UniformSampler (#550)
+* Fix privacy computation script (#565)
+
+
 ## v1.3
 
 ### New features

opacus/tests/per_sample_gradients_utils_test.py

@@ -19,14 +19,14 @@
 import hypothesis.strategies as st
 import torch
 from hypothesis import given, settings
-
-from .grad_samples.common import expander, shrinker
 from opacus.utils.per_sample_gradients_utils import (
     check_per_sample_gradients_are_correct,
     get_grad_sample_modes,
 )
 from torch import nn
 
+from .grad_samples.common import expander, shrinker
+
 
 class PerSampleGradientsUtilsTest(unittest.TestCase):
     def per_sample_grads_utils_test(

opacus/version.py

@@ -13,4 +13,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__ = "1.3.0"
+__version__ = "1.4.0"