Python serializeの例

コード例 #1

ファイル: convolutional_recurrent.py プロジェクト: Jackiefan/tensorflow

 def get_config(self):
   config = {'filters': self.filters,
             'kernel_size': self.kernel_size,
             'strides': self.strides,
             'padding': self.padding,
             'data_format': self.data_format,
             'dilation_rate': self.dilation_rate,
             'activation': activations.serialize(self.activation),
             'recurrent_activation': activations.serialize(
                 self.recurrent_activation),
             'use_bias': self.use_bias,
             'kernel_initializer': initializers.serialize(
                 self.kernel_initializer),
             'recurrent_initializer': initializers.serialize(
                 self.recurrent_initializer),
             'bias_initializer': initializers.serialize(self.bias_initializer),
             'unit_forget_bias': self.unit_forget_bias,
             'kernel_regularizer': regularizers.serialize(
                 self.kernel_regularizer),
             'recurrent_regularizer': regularizers.serialize(
                 self.recurrent_regularizer),
             'bias_regularizer': regularizers.serialize(self.bias_regularizer),
             'kernel_constraint': constraints.serialize(
                 self.kernel_constraint),
             'recurrent_constraint': constraints.serialize(
                 self.recurrent_constraint),
             'bias_constraint': constraints.serialize(self.bias_constraint),
             'dropout': self.dropout,
             'recurrent_dropout': self.recurrent_dropout}
   base_config = super(ConvLSTM2DCell, self).get_config()
   return dict(list(base_config.items()) + list(config.items()))

コード例 #2

ファイル: recurrent.py プロジェクト: 1000sprites/tensorflow

 def get_config(self):
   config = {
       'units': self.units,
       'activation': activations.serialize(self.activation),
       'recurrent_activation':
           activations.serialize(self.recurrent_activation),
       'use_bias': self.use_bias,
       'kernel_initializer': initializers.serialize(self.kernel_initializer),
       'recurrent_initializer':
           initializers.serialize(self.recurrent_initializer),
       'bias_initializer': initializers.serialize(self.bias_initializer),
       'kernel_regularizer': regularizers.serialize(self.kernel_regularizer),
       'recurrent_regularizer':
           regularizers.serialize(self.recurrent_regularizer),
       'bias_regularizer': regularizers.serialize(self.bias_regularizer),
       'activity_regularizer':
           regularizers.serialize(self.activity_regularizer),
       'kernel_constraint': constraints.serialize(self.kernel_constraint),
       'recurrent_constraint':
           constraints.serialize(self.recurrent_constraint),
       'bias_constraint': constraints.serialize(self.bias_constraint),
       'dropout': self.dropout,
       'recurrent_dropout': self.recurrent_dropout
   }
   base_config = super(GRU, self).get_config()
   return dict(list(base_config.items()) + list(config.items()))

コード例 #3

ファイル: convolutional_recurrent.py プロジェクト: sgcm520/tensorflow2

 def get_config(self):
     config = {
         'filters':
         self.filters,
         'kernel_size':
         self.kernel_size,
         'strides':
         self.strides,
         'padding':
         self.padding,
         'data_format':
         self.data_format,
         'dilation_rate':
         self.dilation_rate,
         'activation':
         activations.serialize(self.activation),
         'recurrent_activation':
         activations.serialize(self.recurrent_activation),
         'use_bias':
         self.use_bias,
         'kernel_initializer':
         initializers.serialize(self.kernel_initializer),
         'recurrent_initializer':
         initializers.serialize(self.recurrent_initializer),
         'bias_initializer':
         initializers.serialize(self.bias_initializer),
         'unit_forget_bias':
         self.unit_forget_bias,
         'kernel_regularizer':
         regularizers.serialize(self.kernel_regularizer),
         'recurrent_regularizer':
         regularizers.serialize(self.recurrent_regularizer),
         'bias_regularizer':
         regularizers.serialize(self.bias_regularizer),
         'activity_regularizer':
         regularizers.serialize(self.activity_regularizer),
         'kernel_constraint':
         constraints.serialize(self.kernel_constraint),
         'recurrent_constraint':
         constraints.serialize(self.recurrent_constraint),
         'bias_constraint':
         constraints.serialize(self.bias_constraint),
         'dropout':
         self.dropout,
         'recurrent_dropout':
         self.recurrent_dropout
     }
     base_config = super(ConvLSTM2D, self).get_config()
     del base_config['cell']
     return dict(list(base_config.items()) + list(config.items()))

コード例 #4

ファイル: core.py プロジェクト: SihabSahariar/Bangla_Sign_Language

 def get_config(self):
     config = {
         'units':
         self.units,
         'activation':
         activations.serialize(self.activation),
         'use_bias':
         self.use_bias,
         'kernel_initializer':
         initializers.serialize(self.kernel_initializer),
         'bias_initializer':
         initializers.serialize(self.bias_initializer),
         'kernel_regularizer':
         regularizers.serialize(self.kernel_regularizer),
         'bias_regularizer':
         regularizers.serialize(self.bias_regularizer),
         'activity_regularizer':
         regularizers.serialize(self.activity_regularizer),
         'kernel_constraint':
         constraints.serialize(self.kernel_constraint),
         'bias_constraint':
         constraints.serialize(self.bias_constraint)
     }
     base_config = super(Dense, self).get_config()
     return dict(list(base_config.items()) + list(config.items()))

コード例 #5

ファイル: local.py プロジェクト: Odegaard11/publicBicycle

 def get_config(self):
     config = {
         'filters':
         self.filters,
         'kernel_size':
         self.kernel_size,
         'strides':
         self.strides,
         'padding':
         self.padding,
         'data_format':
         self.data_format,
         'activation':
         activations.serialize(self.activation),
         'use_bias':
         self.use_bias,
         'kernel_initializer':
         initializers.serialize(self.kernel_initializer),
         'bias_initializer':
         initializers.serialize(self.bias_initializer),
         'kernel_regularizer':
         regularizers.serialize(self.kernel_regularizer),
         'bias_regularizer':
         regularizers.serialize(self.bias_regularizer),
         'activity_regularizer':
         regularizers.serialize(self.activity_regularizer),
         'kernel_constraint':
         constraints.serialize(self.kernel_constraint),
         'bias_constraint':
         constraints.serialize(self.bias_constraint)
     }
     base_config = super(LocallyConnected2D, self).get_config()
     return dict(list(base_config.items()) + list(config.items()))

コード例 #6

ファイル: local.py プロジェクト: japrogramer/tensorflow

 def get_config(self):
   config = {
       'filters':
           self.filters,
       'kernel_size':
           self.kernel_size,
       'strides':
           self.strides,
       'padding':
           self.padding,
       'data_format':
           self.data_format,
       'activation':
           activations.serialize(self.activation),
       'use_bias':
           self.use_bias,
       'kernel_initializer':
           initializers.serialize(self.kernel_initializer),
       'bias_initializer':
           initializers.serialize(self.bias_initializer),
       'kernel_regularizer':
           regularizers.serialize(self.kernel_regularizer),
       'bias_regularizer':
           regularizers.serialize(self.bias_regularizer),
       'activity_regularizer':
           regularizers.serialize(self.activity_regularizer),
       'kernel_constraint':
           constraints.serialize(self.kernel_constraint),
       'bias_constraint':
           constraints.serialize(self.bias_constraint)
   }
   base_config = super(LocallyConnected2D, self).get_config()
   return dict(list(base_config.items()) + list(config.items()))

コード例 #7

ファイル: convolutional_recurrent.py プロジェクト: mengdaya/TensorFlow

 def get_config(self):
     config = {
         'activation':
         activations.serialize(self.activation),
         'recurrent_activation':
         activations.serialize(self.recurrent_activation),
         'use_bias':
         self.use_bias,
         'kernel_initializer':
         initializers.serialize(self.kernel_initializer),
         'recurrent_initializer':
         initializers.serialize(self.recurrent_initializer),
         'bias_initializer':
         initializers.serialize(self.bias_initializer),
         'unit_forget_bias':
         self.unit_forget_bias,
         'kernel_regularizer':
         regularizers.serialize(self.kernel_regularizer),
         'recurrent_regularizer':
         regularizers.serialize(self.recurrent_regularizer),
         'bias_regularizer':
         regularizers.serialize(self.bias_regularizer),
         'activity_regularizer':
         regularizers.serialize(self.activity_regularizer),
         'kernel_constraint':
         constraints.serialize(self.kernel_constraint),
         'recurrent_constraint':
         constraints.serialize(self.recurrent_constraint),
         'bias_constraint':
         constraints.serialize(self.bias_constraint),
         'dropout':
         self.dropout,
         'recurrent_dropout':
         self.recurrent_dropout
     }
     base_config = super(ConvLSTM2D, self).get_config()
     return dict(list(base_config.items()) + list(config.items()))

コード例 #8

 def get_config(self):
     config = {
         'filters': self.filters,
         'kernel_size': self.kernel_size,
         'strides': self.strides,
         'padding': self.padding,
         'data_format': self.data_format,
         'dilation_rate': self.dilation_rate,
         'activation': activations.serialize(activations.get(self.activation)),
         'use_bias': self.use_bias,
         'kernel_initializer': initializers.serialize(initializers.get(self.kernel_initializer)),
         'bias_initializer': initializers.serialize(initializers.get(self.bias_initializer)),
         'kernel_regularizer': regularizers.serialize(regularizers.get(self.kernel_regularizer)),
         'bias_regularizer': regularizers.serialize(regularizers.get(self.bias_regularizer)),
         'activity_regularizer': regularizers.serialize(regularizers.get(self.activity_regularizer)),
         'kernel_constraint': constraints.serialize(constraints.get(self.kernel_constraint)),
         'bias_constraint': constraints.serialize(constraints.get(self.bias_constraint))
     }
     base_config = {"name": self.layername}
     return dict(list(base_config.items()) + list(config.items()))

コード例 #9

ファイル: core.py プロジェクト: SihabSahariar/Bangla_Sign_Language

 def get_config(self):
     config = {'activation': activations.serialize(self.activation)}
     base_config = super(Activation, self).get_config()
     return dict(list(base_config.items()) + list(config.items()))

コード例 #10

ファイル: core.py プロジェクト: ChengYuXiang/tensorflow

 def get_config(self):
   config = {'activation': activations.serialize(self.activation)}
   base_config = super(Activation, self).get_config()
   return dict(list(base_config.items()) + list(config.items()))