build: bump version 1.0.0a4 → 1.0.0a5

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 1.0.0a4
+current_version = 1.0.0a5
 commit = True
 tag = True
 parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)((?P<release>[a-zA-Z0-9_.-]+))?

docs/source/conf.py

@@ -23,7 +23,7 @@ author = "Jensun Ravichandran"
 
 # The full version, including alpha/beta/rc tags
 #
-release = "1.0.0-a4"
+release = "1.0.0-a5"
 
 # -- General configuration ---------------------------------------------------
 

prototorch/models/__init__.py

@@ -36,4 +36,4 @@ from .unsupervised import (
 )
 from .vis import *
 
-__version__ = "1.0.0-a4"
+__version__ = "1.0.0-a5"

prototorch/y/architectures/base.py

@@ -5,7 +5,7 @@ Network architecture for Component based Learning.
 """
 from __future__ import annotations
 
-from dataclasses import dataclass
+from dataclasses import asdict, dataclass
 from typing import Any, Callable
 
 import pytorch_lightning as pl
@@ -33,10 +33,9 @@ class BaseYArchitecture(pl.LightningModule):
             del hparams["initialized_proto_shape"]
             hparams = self.HyperParameters(**hparams)
         else:
-            self.save_hyperparameters(
-                hparams.__dict__,
-                ignore=["component_initializer"],
-            )
+            hparam_dict = asdict(hparams)
+            hparam_dict["component_initializer"] = None
+            self.save_hyperparameters(hparam_dict, )
 
         super().__init__()
 

setup.py

@@ -55,7 +55,7 @@ ALL = CLI + DEV + DOCS + EXAMPLES + TESTS
 
 setup(
     name=safe_name("prototorch_" + PLUGIN_NAME),
-    version="1.0.0-a4",
+    version="1.0.0-a5",
     description="Pre-packaged prototype-based "
     "machine learning models using ProtoTorch and PyTorch-Lightning.",
     long_description=long_description,