Fixed Valued Tensors

import tensorflow as tf
session = tf.InteractiveSession()

A. Constant

A = tf.constant([[1,2,3],[3,4,5],[6,7,8]])
A.eval()

array([[1, 2, 3],
       [3, 4, 5],
       [6, 7, 8]], dtype=int32)

B. Fill

B = tf.fill([3,3], 10)
B.eval()

array([[10, 10, 10],
       [10, 10, 10],
       [10, 10, 10]], dtype=int32)

C. Zeros

C = tf.zeros([3,3])
C.eval()

array([[ 0.,  0.,  0.],
       [ 0.,  0.,  0.],
       [ 0.,  0.,  0.]], dtype=float32)

D. Ones

D = tf.ones([3,3])
D.eval()

array([[ 1.,  1.,  1.],
       [ 1.,  1.,  1.],
       [ 1.,  1.,  1.]], dtype=float32)

E. Zeros-like and Ones-like

E = tf.zeros_like(A)
E.eval()

array([[0, 0, 0],
       [0, 0, 0],
       [0, 0, 0]], dtype=int32)

F = tf.ones_like(A)
F.eval()

array([[1, 1, 1],
       [1, 1, 1],
       [1, 1, 1]], dtype=int32)
Written on February 27, 2017