Hi Ray team,
I have used Ray 1.0.0 and am considering upgrade the version to 1.0.1.post1 now.
I used the same training code and the same prediction code.
but I got the below issue when I try to predict using the model trained by Ray 1.0.1.post1.
(the model with Ray 1.0.0 is working well though).
Exception during discrete event execution:
You must feed a value for placeholder tensor 'default_policy/timestep' with dtype int64
[[{{node default_policy/timestep}}]]
org.tensorflow.exceptions.TFInvalidArgumentException: You must feed a value for placeholder tensor 'default_policy/timestep' with dtype int64
[[{{node default_policy/timestep}}]]
at org.tensorflow.internal.c_api.AbstractTF_Status.throwExceptionIfNotOK(AbstractTF_Status.java:87)
at org.tensorflow.Session.run(Session.java:666)
at org.tensorflow.Session.access$100(Session.java:72)
at org.tensorflow.Session$Runner.runHelper(Session.java:381)
at org.tensorflow.Session$Runner.run(Session.java:329)
was there a change w.r.t. default_policy/timestep
?