Fix model save

Author: Laicheng0830

examples/basic_tutorials/README.md

@@ -25,4 +25,5 @@ TensorLayerX provides Sequential and Subclass define a model. Sequential model a
 ## Others
 - [Interoperability of Different Back-end Models](https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/tutorial_tensorlayer_model_load.py)
 - [TensorFlow Model Save to pb](https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/tensorflow_model_save_to_pb.py)
-- [Gradient Clip](https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/gradient_clip_mixed_tensorflow.py)
+- [Gradient Clip](https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/gradient_clip_mixed_tensorflow.py)
+- [Using tensorboard](https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/tutorial_using_tensorboradX.py)

tensorlayerx/model/core.py

@@ -147,7 +147,7 @@ def save_standard_weights(self, file_path):
 
         """
 
-        _save_standard_weights_dict(self, file_path)
+        _save_standard_weights_dict(self.network, file_path)
 
     def load_standard_weights(self, file_path, skip=False, reshape=False, format='npz_dict'):
         """
@@ -166,7 +166,7 @@ def load_standard_weights(self, file_path, skip=False, reshape=False, format='np
 
         """
 
-        _load_standard_weights_dict(self, file_path, skip, reshape, format)
+        _load_standard_weights_dict(self.network, file_path, skip, reshape, format)
 
     def save_weights(self, file_path, format=None):
         """Input file_path, save model weights into a file of given format.
@@ -206,7 +206,7 @@ def save_weights(self, file_path, format=None):
 
         """
 
-        _save_weights(net=self, file_path=file_path, format=format)
+        _save_weights(net=self.network, file_path=file_path, format=format)
 
     def load_weights(self, file_path, format=None, in_order=True, skip=False):
         """Load model weights from a given file, which should be previously saved by self.save_weights().
@@ -259,7 +259,7 @@ def load_weights(self, file_path, format=None, in_order=True, skip=False):
 
         """
 
-        _load_weights(net=self, file_path=file_path, format=format, in_order=in_order, skip=skip)
+        _load_weights(net=self.network, file_path=file_path, format=format, in_order=in_order, skip=skip)
 
     def tf_train(
         self, n_epoch, train_dataset, network, loss_fn, train_weights, optimizer, metrics, print_train_batch,

tensorlayerx/nn/layers/convolution/simplified_conv.py

@@ -265,7 +265,7 @@ def build(self, inputs_shape):
             raise Exception("data_format should be either channels_last or channels_first")
 
         #TODO channels first filter shape [out_channel, in_channel, filter_h, filter_w]
-        self.filter_shape = (self.kernel_size[0], self.kernel_size[1], self.in_channels, self.out_channels )
+        self.filter_shape = (self.kernel_size[0], self.kernel_size[1], self.in_channels, self.out_channels)
         self.W = self._get_weights("filters", shape=self.filter_shape, init=self.W_init)
 
         self.b_init_flag = False