Merge pull request #1077 from Laicheng0830/Update_release

Update release

Author: Laicheng0830

CHANGELOG.md

@@ -85,6 +85,36 @@ To release a new version, please update the changelog as followed:
 
 ### Contributors
 
+## [2.2.2] - 2020-04-26
+
+TensorLayer 2.2.2 is a maintenance release.
+
+### Added
+
+- Reinforcement learning(#1065)
+- Mish activation(#1068)
+
+### Changed
+
+### Dependencies Update
+
+### Deprecated
+
+### Fixed
+
+- Fix README.
+- Fix package info.
+
+### Removed
+
+### Security
+
+### Contributors
+
+- @zsdonghao
+- @quantumiracle(1065)
+- @Laicheng0830(#1068)
+
 ## [2.2.1] - 2020-01-14
 
 TensorLayer 2.2.1 is a maintenance release.
@@ -591,6 +621,7 @@ To many PR for this update, please check [here](https://github.com/tensorlayer/t
 @zsdonghao @luomai @DEKHTIARJonathan
 
 [Unreleased]: https://github.com/tensorlayer/tensorlayer/compare/2.0....master
+[2.2.2]: https://github.com/tensorlayer/tensorlayer/compare/2.2.1...2.2.2
 [2.2.1]: https://github.com/tensorlayer/tensorlayer/compare/2.2.0...2.2.1
 [2.2.0]: https://github.com/tensorlayer/tensorlayer/compare/2.1.0...2.2.0
 [2.1.0]: https://github.com/tensorlayer/tensorlayer/compare/2.0.2...2.1.0

tensorlayer/layers/core.py

@@ -387,15 +387,11 @@ def _get_init_args(self, skip=3):
 
                 # change function (e.g. act) into dictionary of module path and function name
                 if inspect.isfunction(val):
-                    if ("__module__" in dir(val)) and (len(val.__module__) >
-                                                       10) and (val.__module__[0:10] == "tensorflow"):
+                    if ("__module__" in dir(val)) and (len(val.__module__) > 10) and (val.__module__[0:10]
+                                                                                      == "tensorflow"):
                         params[arg] = val.__name__
                     else:
                         params[arg] = ('is_Func', utils.func2str(val))
-                    # if val.__name__ == "<lambda>":
-                    #     params[arg] = utils.lambda2str(val)
-                    # else:
-                    #     params[arg] = {"module_path": val.__module__, "func_name": val.__name__}
                 # ignore more args e.g. TL initializer
                 elif arg.endswith('init'):
                     continue

tensorlayer/package_info.py

@@ -4,7 +4,7 @@
 
 MAJOR = 2
 MINOR = 2
-PATCH = 1
+PATCH = 2
 PRE_RELEASE = ''
 # Use the following formatting: (major, minor, patch, prerelease)
 VERSION = (MAJOR, MINOR, PATCH, PRE_RELEASE)