RuntimeError: tf.placeholder() is not compatible with eager execution

Question

I have upgraded with tf_upgrade_v2 TF1 code to TF2. I\'m a noob with both. I got the next error:

RuntimeError: tf.placeholder() is not compatible with eager exec         


        

Answer 1

In TensorFlow 1.X, placeholders are created and meant to be fed with actual values when a tf.Session is instantiated. However, from TensorFlow2.0 onwards, Eager Execution has been enabled by default, so the notion of a "placeholder" does not make sense as operations are computed immediately (rather than being differed with the old paradigm).

Also see Functions, not Sessions,

# TensorFlow 1.X
outputs = session.run(f(placeholder), feed_dict={placeholder: input})
# TensorFlow 2.0
outputs = f(input)