I load from a saved model, and I would like to be able to reset the tensor flow optimizer, such as the Adam optimizer. Ideally, something like:
sess.run([tf.initialize_variables(Adamopt)])
or
sess.run([Adamopt.reset])
I tried to find the answer, but have not yet found a way to do this. Here is what I found that does not solve the problem: https://github.com/tensorflow/tensorflow/issues/634
Is there a way in TensorFlow to simply initialize uninitialized variables?
Tensorflow: Using Adam's Optimizer
I just want to use the reset "slot" variables in Hell Optimizer.
thank
, , - ,
optimizer_scope = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, "scope/prefix/for/optimizer") sess.run(tf.initialize_variables(optimizer_scope))
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