import tensorflow as tf
import tensorlayer as tl

a = tf.constant([
    [
        [4, 5, 6],
        [1, 2, 3]
    ],
    [
        [4, 5, 6],
        [1, 2, 3]
    ]
])

b1 = tl.alphas_like(a, 0.5431)
b2 = tl.alphas_like(a, 5)
b3 = tl.alphas_like(a, -5)
b4 = tl.alphas_like(a, True)

with tf.Session() as sess:
    _b1, _b2, _b3, _b4 = sess.run([b1, b2, b3, b4])
    
print("b1:", _b1)
print("b2:", _b2)
print("b3:", _b3)
print("b4:", _b4)

############### OUTPUTS ###############

>>> b1: [
  [
    [ 0.5431  0.5431  0.5431]
    [ 0.5431  0.5431  0.5431]
  ]
  [
    [ 0.5431  0.5431  0.5431]
    [ 0.5431  0.5431  0.5431]
  ]
]

>>> b2: [
  [
    [5 5 5]
    [5 5 5]
  ]
  [
    [5 5 5]
    [5 5 5]
  ]
]

>>> b3: [
  [
    [-5 -5 -5]
    [-5 -5 -5]
  ]
  [
    [-5 -5 -5]
    [-5 -5 -5]
  ]
]

>>> b4: [
  [
    [ True  True  True]
    [ True  True  True]
  ]
  [
    [ True  True  True]
    [ True  True  True]
  ]
]

b1 = tf.ones_like(a, dtype=tf.float32) * 0.5431
b2 = tf.ones_like(a, dtype=tf.int32) * 5
b4 = tf.ones_like(a, dtype=tf.bool)

import tensorflow as tf
import time

a  = tf.ones(shape=(64,255,255,3))

method1 = tf.ones_like(a) * 2.55
method2 = tl.alphas_like(a, alpha_value=2.55)


for _ in range(5):
    TIC = time.time()
    for __ in range(100):

        with tf.Session() as sess:
            tmp = sess.run(method1)

    TOC = time.time()

    print("Execution with method 1 took: %sms" % str((TOC-TIC)*1000))

print("\n######################################\n")

for _ in range(5):
    TIC = time.time()
    for __ in range(100):

        with tf.Session() as sess:
            tmp = sess.run(method2)

    TOC = time.time()

    print("Execution with method 2 took: %sms" % str((TOC-TIC)*1000))