Randomly select a window from a 3D array using Tensorflow Queue -


i have 3d numpy array data set axbxc. how can apply tensorflow randomshufflequeue implement random selection (dequeue or dequeue_many) window size axbxc on first 2 dimension of data set?

a = 500 b = 600 c = 400 data = np.random.rand(a, b, c) q. tf.randomshufflequeue(capacity=???, shapes=???)

i want use queue instead of tf.random_crop reduce overhead of cpu-gpu communication incurred placeholder.


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