Is there any method to 'combine layers' in tensorflow?












0















Let me explain my question:



I assume that there are some(more than one) tensorflow layers like below:



import tensorflow as tf
x = tf.placeholder(tf.float32,[1,64,64,3])
conv_layer_1 = tf.layers.Conv2D(16,[3,3])
conv_layer_2 = tf.layers.Conv2D(16,[3,3])


Is there any method to combine these layers to one tf.Layer object?That means:



# conv_layer is the combined result    
# conv_layer(x) is equal to conv_layer2(conv_layer1(x))
conv_layer = some_function([conv_layer1,conv_layer2])


Currently I use a ugly method:



class MyLayer(tf.Layer)
......
def combine(layers_list):
self.layers_list += layers_list
def __call__(x):
for layer in self.layers:
y = layer(y)
return y









share|improve this question





























    0















    Let me explain my question:



    I assume that there are some(more than one) tensorflow layers like below:



    import tensorflow as tf
    x = tf.placeholder(tf.float32,[1,64,64,3])
    conv_layer_1 = tf.layers.Conv2D(16,[3,3])
    conv_layer_2 = tf.layers.Conv2D(16,[3,3])


    Is there any method to combine these layers to one tf.Layer object?That means:



    # conv_layer is the combined result    
    # conv_layer(x) is equal to conv_layer2(conv_layer1(x))
    conv_layer = some_function([conv_layer1,conv_layer2])


    Currently I use a ugly method:



    class MyLayer(tf.Layer)
    ......
    def combine(layers_list):
    self.layers_list += layers_list
    def __call__(x):
    for layer in self.layers:
    y = layer(y)
    return y









    share|improve this question



























      0












      0








      0








      Let me explain my question:



      I assume that there are some(more than one) tensorflow layers like below:



      import tensorflow as tf
      x = tf.placeholder(tf.float32,[1,64,64,3])
      conv_layer_1 = tf.layers.Conv2D(16,[3,3])
      conv_layer_2 = tf.layers.Conv2D(16,[3,3])


      Is there any method to combine these layers to one tf.Layer object?That means:



      # conv_layer is the combined result    
      # conv_layer(x) is equal to conv_layer2(conv_layer1(x))
      conv_layer = some_function([conv_layer1,conv_layer2])


      Currently I use a ugly method:



      class MyLayer(tf.Layer)
      ......
      def combine(layers_list):
      self.layers_list += layers_list
      def __call__(x):
      for layer in self.layers:
      y = layer(y)
      return y









      share|improve this question
















      Let me explain my question:



      I assume that there are some(more than one) tensorflow layers like below:



      import tensorflow as tf
      x = tf.placeholder(tf.float32,[1,64,64,3])
      conv_layer_1 = tf.layers.Conv2D(16,[3,3])
      conv_layer_2 = tf.layers.Conv2D(16,[3,3])


      Is there any method to combine these layers to one tf.Layer object?That means:



      # conv_layer is the combined result    
      # conv_layer(x) is equal to conv_layer2(conv_layer1(x))
      conv_layer = some_function([conv_layer1,conv_layer2])


      Currently I use a ugly method:



      class MyLayer(tf.Layer)
      ......
      def combine(layers_list):
      self.layers_list += layers_list
      def __call__(x):
      for layer in self.layers:
      y = layer(y)
      return y






      tensorflow deep-learning






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 22 '18 at 10:22









      Dulmina

      211110




      211110










      asked Nov 22 '18 at 9:12









      LiShaoyuanLiShaoyuan

      365




      365
























          1 Answer
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          1














          You can use tf.layers.concatenate for this case
          For more details visit tensorflow site https://www.tensorflow.org/api_docs/python/tf/keras/layers/concatenate






          share|improve this answer
























          • tf.keras.layers.concatenate is similar with tf.layers.concat which is used for tensor instead of layer.

            – LiShaoyuan
            Nov 22 '18 at 10:33











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          1 Answer
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          active

          oldest

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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1














          You can use tf.layers.concatenate for this case
          For more details visit tensorflow site https://www.tensorflow.org/api_docs/python/tf/keras/layers/concatenate






          share|improve this answer
























          • tf.keras.layers.concatenate is similar with tf.layers.concat which is used for tensor instead of layer.

            – LiShaoyuan
            Nov 22 '18 at 10:33
















          1














          You can use tf.layers.concatenate for this case
          For more details visit tensorflow site https://www.tensorflow.org/api_docs/python/tf/keras/layers/concatenate






          share|improve this answer
























          • tf.keras.layers.concatenate is similar with tf.layers.concat which is used for tensor instead of layer.

            – LiShaoyuan
            Nov 22 '18 at 10:33














          1












          1








          1







          You can use tf.layers.concatenate for this case
          For more details visit tensorflow site https://www.tensorflow.org/api_docs/python/tf/keras/layers/concatenate






          share|improve this answer













          You can use tf.layers.concatenate for this case
          For more details visit tensorflow site https://www.tensorflow.org/api_docs/python/tf/keras/layers/concatenate







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 22 '18 at 9:19









          DulminaDulmina

          211110




          211110













          • tf.keras.layers.concatenate is similar with tf.layers.concat which is used for tensor instead of layer.

            – LiShaoyuan
            Nov 22 '18 at 10:33



















          • tf.keras.layers.concatenate is similar with tf.layers.concat which is used for tensor instead of layer.

            – LiShaoyuan
            Nov 22 '18 at 10:33

















          tf.keras.layers.concatenate is similar with tf.layers.concat which is used for tensor instead of layer.

          – LiShaoyuan
          Nov 22 '18 at 10:33





          tf.keras.layers.concatenate is similar with tf.layers.concat which is used for tensor instead of layer.

          – LiShaoyuan
          Nov 22 '18 at 10:33


















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