Manipulating Tensors

In [1]:

import tensorflow as tf

In [3]:

initMatrix = [
    [10,7],
    [3,4]
]
t = tf.constant(initMatrix)
t

Out [3]:

<tf.Tensor: shape=(2, 2), dtype=int32, numpy=
array([[10,  7],
       [ 3,  4]], dtype=int32)>

Add To A Tensor

In [6]:

t2 = t + 10
t2

Out [6]:

<tf.Tensor: shape=(2, 2), dtype=int32, numpy=
array([[20, 17],
       [13, 14]], dtype=int32)>

In [7]:

Out [7]:

<tf.Tensor: shape=(2, 2), dtype=int32, numpy=
array([[10,  7],
       [ 3,  4]], dtype=int32)>

In [9]:

# multiply
t3 = t * 2
t3

Out [9]:

<tf.Tensor: shape=(2, 2), dtype=int32, numpy=
array([[20, 14],
       [ 6,  8]], dtype=int32)>

In [10]:

t4 = t - 2
t4

Out [10]:

<tf.Tensor: shape=(2, 2), dtype=int32, numpy=
array([[8, 5],
       [1, 2]], dtype=int32)>

In [12]:

t5 = tf.multiply(t, 3)
t5

Out [12]:

<tf.Tensor: shape=(2, 2), dtype=int32, numpy=
array([[30, 21],
       [ 9, 12]], dtype=int32)>