Tensorflow, assign from a previously saved Tensor












0















I'm building some utility operations to a previously built Keras Model.



And I want to assign as the input Tensor my own operation, to the Keras Model input.



My Code:



sess = K.get_session()

model = build_model()
output_node_names = [node.op.name for node in model.outputs]
inputs_nodes_names = [node.op.name for node in model.inputs]

print('Building the Utility Operations and Adding to Graph')
image, resized_image = normalize_tensor()
input_node = sess.graph.get_tensor_by_name(inputs_nodes_names[0] + ':0')
input_node = tf.assign(input_node, resized_image)


But the Tensorflow gives me the following error:




AttributeError: 'Tensor' object has no attribute 'assign'




I Believe the input is being treated as an Immutable Tensor, any ideas how to work on this ?



Thanks!










share|improve this question



























    0















    I'm building some utility operations to a previously built Keras Model.



    And I want to assign as the input Tensor my own operation, to the Keras Model input.



    My Code:



    sess = K.get_session()

    model = build_model()
    output_node_names = [node.op.name for node in model.outputs]
    inputs_nodes_names = [node.op.name for node in model.inputs]

    print('Building the Utility Operations and Adding to Graph')
    image, resized_image = normalize_tensor()
    input_node = sess.graph.get_tensor_by_name(inputs_nodes_names[0] + ':0')
    input_node = tf.assign(input_node, resized_image)


    But the Tensorflow gives me the following error:




    AttributeError: 'Tensor' object has no attribute 'assign'




    I Believe the input is being treated as an Immutable Tensor, any ideas how to work on this ?



    Thanks!










    share|improve this question

























      0












      0








      0








      I'm building some utility operations to a previously built Keras Model.



      And I want to assign as the input Tensor my own operation, to the Keras Model input.



      My Code:



      sess = K.get_session()

      model = build_model()
      output_node_names = [node.op.name for node in model.outputs]
      inputs_nodes_names = [node.op.name for node in model.inputs]

      print('Building the Utility Operations and Adding to Graph')
      image, resized_image = normalize_tensor()
      input_node = sess.graph.get_tensor_by_name(inputs_nodes_names[0] + ':0')
      input_node = tf.assign(input_node, resized_image)


      But the Tensorflow gives me the following error:




      AttributeError: 'Tensor' object has no attribute 'assign'




      I Believe the input is being treated as an Immutable Tensor, any ideas how to work on this ?



      Thanks!










      share|improve this question














      I'm building some utility operations to a previously built Keras Model.



      And I want to assign as the input Tensor my own operation, to the Keras Model input.



      My Code:



      sess = K.get_session()

      model = build_model()
      output_node_names = [node.op.name for node in model.outputs]
      inputs_nodes_names = [node.op.name for node in model.inputs]

      print('Building the Utility Operations and Adding to Graph')
      image, resized_image = normalize_tensor()
      input_node = sess.graph.get_tensor_by_name(inputs_nodes_names[0] + ':0')
      input_node = tf.assign(input_node, resized_image)


      But the Tensorflow gives me the following error:




      AttributeError: 'Tensor' object has no attribute 'assign'




      I Believe the input is being treated as an Immutable Tensor, any ideas how to work on this ?



      Thanks!







      python tensorflow keras






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 20 '18 at 19:24









      RodsnjrRodsnjr

      276




      276
























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