Tensorflow
Python3
Output:
Python3
bitwise.left_shift() method performs the left_shift operation on input a defined by input b and return the new constant. The operation is done on the representation of a and b.
This method belongs to bitwise module.
Syntax:Let's see this concept with the help of few examples: Example 1:tf.bitwise.left_shift( a, b, name=None)ArgumentsReturn: It returns a Tensor having the same type as a and b.
- a: This must be a Tensor.It should be from the one of the following types: int8, int16, int32, int64, uint8, uint16, uint32, uint64.
- b: This should also be a Tensor, Type same as a.
- name: This is optional parameter and this is the name of the operation.
import tensorflow as tf
# A constant a and b
a = tf.constant(8, dtype = tf.int32)
b = tf.constant(2, dtype = tf.int32)
# Applying the left_shift() function
# storing the result in 'c'
c = tf.bitwise.left_shift(a, b)
# Initiating a Tensorflow session
with tf.Session() as sess:
print("Input 1", a)
print(sess.run(a))
print("Input 2", b)
print(sess.run(b))
print("Output: ", c)
print(sess.run(c))
Input 1 Tensor("Const_49:0", shape=(), dtype=int32)
8
Input 2 Tensor("Const_50:0", shape=(), dtype=int32)
2
Output: Tensor("LeftShift_1:0", shape=(), dtype=int32)
32
Example 2:
import tensorflow as tf
# A constant a and b
a = tf.constant([8, 16, 32], dtype = tf.int32)
b = tf.constant([2, 2, 3], dtype = tf.int32)
# Applying the left_shift() function
# storing the result in 'c'
c = tf.bitwise.left_shift(a, b)
# Initiating a Tensorflow session
with tf.Session() as sess:
print("Input 1", a)
print(sess.run(a))
print("Input 2", b)
print(sess.run(b))
print("Output: ", c)
print(sess.run(c))
Output:
Input 1 Tensor("Const_51:0", shape=(3, ), dtype=int32)
[ 8 16 32]
Input 2 Tensor("Const_52:0", shape=(3, ), dtype=int32)
[2 2 3]
Output: Tensor("LeftShift_2:0", shape=(3, ), dtype=int32)
[ 32 64 256]