models/dense_net.py
def load_model(self):
        """
        Loads a saved model to use (instead of a new one) using the saver.
        This is a previously trained and saved model using the model_type
        ('DenseNet' or 'DenseNet-BC'), growth rate, layers in each block,
        and dataset that was specified in the program arguments.
        """
        try:
            self.saver.restore(self.sess, self.save_path)
        except Exception as e:
            raise IOError("Failed to to load model "
                          "from save path: %s" % self.save_path)
        self.saver.restore(self.sess, self.save_path)
        print("Successfully load model from save path: %s" % self.save_path)

        Loads a saved model to use (instead of a new one) using the saver.
        This is a previously trained and saved model using the model_type
        ('DenseNet' or 'DenseNet-BC'), growth rate, layers in each block,
        and dataset that was specified in the program arguments.
        
Loads a saved model to use (instead of a new one) using the saver.
This is a previously trained and saved model using the model_type
('DenseNet' or 'DenseNet-BC'), growth rate, layers in each block,
and dataset that was specified in the program arguments.
Loads a saved model to use ( instead of a new one ) using the saver . This is a previously trained and saved model using the model_type ( ' DenseNet ' or ' DenseNet - BC ' ) growth rate layers in each block and dataset that was specified in the program arguments .
def load_model(self):
        try:
            self.saver.restore(self.sess, self.save_path)
        except Exception as e:
            raise IOError("Failed to to load model "
                          "from save path: %s" % self.save_path)
        self.saver.restore(self.sess, self.save_path)
        print("Successfully load model from save path: %s" % self.save_path)
def load_model ( self ) : try : self . saver . restore ( self . sess , self . save_path ) except Exception as e : raise IOError ( "Failed to to load model " "from save path: %s" % self . save_path ) self . saver . restore ( self . sess , self . save_path ) print ( "Successfully load model from save path: %s" % self . save_path )
Loads a saved model to use (instead of a new one) using the saver.
Loads a saved model to use ( instead of a new one ) using the saver .
"""
        Loads a saved model to use (instead of a new one) using the saver.
        This is a previously trained and saved model using the model_type
        ('DenseNet' or 'DenseNet-BC'), growth rate, layers in each block,
        and dataset that was specified in the program arguments.
        """
self