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I am reviewing the code in this example: fully_connected_reader.py
I am confused with Line 147 and 148:
init_op = tf.group(tf.initialize_all_variables(),
tf.initialize_local_variables())
I don't know which variables are all variables and which are local variables. Any ideas?
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global_variables_initializer() in a session will your variables hold the values you told them to hold when you declare them ( tf. Variable(tf. zeros(...)) , tf.
New!
To initialize a new variable from the value of another variable use the other variable's initialized_value() property. You can use the initialized value directly as the initial value for the new variable, or you can use it as any other tensor to compute a value for the new variable.
First, remember that you can use the TensorFlow eye functionality to easily create a square identity matrix. We create a 5x5 identity matrix with a data type of float32 and assign it to the Python variable identity matrix. So we used tf. eye, give it a size of 5, and the data type is float32.
tf.initialize_all_variables() is a shortcut to tf.initialize_variables(tf.all_variables()), tf.initialize_local_variables() is a shortcut to tf.initialize_variables(tf.local_variables()), which initializes variables in GraphKeys.VARIABLES and GraphKeys.LOCAL_VARIABLE collections, respectively.
Variables in GraphKeys.LOCAL_VARIABLES collection are variables that are added to the graph, but not saved or restored (source).
tf.Variable() by default adds a new variable to GraphKeys.VARIABLE collection, which can be controlled by collections= argument.
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