Reputation: 131
I have my input state with shape = (84,84,4)
state = Input(shape=(84,84,4), dtype="float")
It's stacked sequence of continuous frames.
I want to pass this state to the keras model as input, firstly - to TimeDistributed layers and then - to LSTM
as I understand, time step is the first dimension and I need to reshape my state appropriately to
shape=(4, 84, 84)
and holds the frames in their own size and topology
Upvotes: 2
Views: 704
Reputation: 2514
state_t=tf.transpose(state,[2,1,0])
Is this what you are looking for ?
(or [2,0,1] that depends on what you wanna do...)
Upvotes: 5