Constants

The constant valued tensors are created using the tf.constant() function, and has the following definition:

tf.constant(
  value,
  dtype=None,
  shape=None,
  name='const_name',
  verify_shape=False
  )

Let's create some constants with the following code:

const1=tf.constant(34,name='x1')
const2=tf.constant(59.0,name='y1')
const3=tf.constant(32.0,dtype=tf.float16,name='z1')

Let's take a look at the preceding code in detail:

• The first line of code defines a constant tensor, const1, stores a value of 34, and names it x1.
• The second line of code defines a constant tensor, const2, stores a value of 59.0, and names it y1.
• The third line of code defines the data type as tf.float16 for const3. Use the dtype parameter or place the data type as the second argument to denote the data type. 

Let's print the constants const1, const2, and const3:

print('const1 (x): ',const1)
print('const2 (y): ',const2)
print('const3 (z): ',const3)

When we print these constants, we get the following output:

const1 (x):  Tensor("x:0", shape=(), dtype=int32)
const2 (y):  Tensor("y:0", shape=(), dtype=float32)
const3 (z):  Tensor("z:0", shape=(), dtype=float16)

To print the values of these constants, we can execute them in a TensorFlow session with the tfs.run() command:

print('run([const1,const2,c3]) : ',tfs.run([const1,const2,const3]))

We will see the following output:

run([const1,const2,const3]) : [34, 59.0, 32.0]