0.1.55

PyPI/setup.cfg

@@ -1,7 +1,7 @@
 [metadata]
 # replace with your username:
 name = guan
-version = 0.1.54
+version = 0.1.55
 author = guanjihuan
 author_email = guanjihuan@163.com
 description = An open source python package

PyPI/src/guan.egg-info/PKG-INFO

@@ -1,6 +1,6 @@
 Metadata-Version: 2.1
 Name: guan
-Version: 0.1.54
+Version: 0.1.55
 Summary: An open source python package
 Home-page: https://py.guanjihuan.com
 Author: guanjihuan

PyPI/src/guan/machine_learning.py

@@ -1,10 +1,12 @@
 # Module: machine_learning
 import guan
+model_class = None  # 把类定义成全局的，防止保存完整模型时，无法访问函数中的类
 
 # 全连接神经网络模型（包含一个隐藏层）
 @guan.function_decorator
 def fully_connected_neural_network_with_one_hidden_layer(input_size=1, hidden_size=10, output_size=1, activation='relu'):
     import torch
+    global model_class
     class model_class(torch.nn.Module):
         def __init__(self):
             super().__init__()
@@ -30,6 +32,7 @@ def fully_connected_neural_network_with_one_hidden_layer(input_size=1, hidden_si
 @guan.function_decorator
 def fully_connected_neural_network_with_two_hidden_layers(input_size=1, hidden_size_1=10, hidden_size_2=10, output_size=1, activation_1='relu', activation_2='relu'):
     import torch
+    global model_class
     class model_class(torch.nn.Module):
         def __init__(self):
             super().__init__()
@@ -68,6 +71,7 @@ def fully_connected_neural_network_with_two_hidden_layers(input_size=1, hidden_s
 @guan.function_decorator
 def fully_connected_neural_network_with_three_hidden_layers(input_size=1, hidden_size_1=10, hidden_size_2=10, hidden_size_3=10, output_size=1, activation_1='relu', activation_2='relu', activation_3='relu'):
     import torch
+    global model_class
     class model_class(torch.nn.Module):
         def __init__(self):
             super().__init__()