A tile in tensorflow is used to copy the specified dimension of a tensor, see the code below:
import tensorflow as tf a = ([[1, 2], [3, 4], [5, 6]], dtype=tf.float32) a1 = (a, [2, 2]) with () as sess: print((a1))
The result is:
[[ 1. 2. 1. 2.] [ 3. 4. 3. 4.] [ 5. 6. 5. 6.] [ 1. 2. 1. 2.] [ 3. 4. 3. 4.] [ 5. 6. 5. 6.]]
on account of
a1 = (a, [2, 2]) means copy the first dimension of a twice and the second dimension twice.
Above this detailed explanation of the use of tile function in tensorflow is all that I have shared with you, I hope to give you a reference, and I hope you will support me more.