I\'m trying to restore some variables from checkpoint file if same variable name is in current model.
And I found that there is some way as in Tensorfow Github
S
Simple answer:
reader = tf.train.NewCheckpointReader(checkpoint_file)
variable1 = reader.get_tensor('layer_name1/layer_type_name')
variable2 = reader.get_tensor('layer_name2/layer_type_name')
Now, after modification to these variables, you can assign it back.
layer_name1_var.set_weights([variable1, variable2])