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How to compute bitwise AND, OR and NOT of given input tensors in PyTorch?
To compute bitwise AND of given input tensors we apply torch.bitwise_and(). The input tensors must be of integral or Boolean types. For bool tensors, it computes the logical AND.
To compute bitwise NOT of a given input tensor we apply torch.bitwise_not() method. The input tensors must be of integral or Boolean types. For bool tensors, it computes the logical OR.
To compute the bitwise NOT of a given input tensor we apply torch.bitwise_not() method. The input tensor must be of integral or Boolean types. For bool tensors, it computes the logical NOT.
Syntax
torch.bitwise_and(input1, input2) torch.bitwise_or(input1, input2) torch.bitwise_not(input)
Steps
Import the required library. In all the following examples, the required Python library is torch. Make sure you have already installed it.
import torch
Define torch tensors and print them.
input1 = torch.tensor([4, -2, 3, 0], dtype=torch.int8) input2 = torch.tensor([0, 1, -7, 2], dtype=torch.int8)
Compute bitwise AND, OR or NOT using above defined syntax.
output = torch.bitwise_and(input1, input2)
Print the computed tensor.
print("Bitwise AND:
", output)
Example 1
In the following Python program, we compute bitwise AND of the given input tensors.
# Python 3 program to compute bitwise AND of the given input tensors
# Import the required library
import torch
# define two tensors
input1 = torch.tensor([11, -21, 3], dtype=torch.int8)
input2 = torch.tensor([-2, 0, 3], dtype=torch.int8)
# display the above defined tensors
print("Input Tensor 1:
", input1)
print("Input Tensor 2:
", input2)
# compute the bitwise AND of input1 and input2
output = torch.bitwise_and(input1, input2)
# print above computed bitwise and tensor
print("Bitwise AND:
", output)
print(".................................")
# define two tensors
input1 = torch.tensor([True, True, False, False])
input2 = torch.tensor([False, True, False, True])
# display the above defined tensors
print("Input Tensor 1:
", input1)
print("Input Tensor 2:
", input2)
# compute the bitwise AND of input1 and input2
output = torch.bitwise_and(input1, input2)
# print above computed bitwise and tensor
print("Bitwise AND:
", output)
Output
Input Tensor 1: tensor([ 11, -21, 3], dtype=torch.int8) Input Tensor 2: tensor([-2, 0, 3], dtype=torch.int8) Bitwise AND: tensor([10, 0, 3], dtype=torch.int8) ................................. Input Tensor 1: tensor([ True, True, False, False]) Input Tensor 2: tensor([False, True, False, True]) Bitwise AND: tensor([False, True, False, False])
Example 2
In this Python program, we compute bitwise OR of the given input tensors.
# Python 3 program to compute bitwise OR of the given input tensors
# Import the required library
import torch
# define two tensors
input1 = torch.tensor([11, -21, 3], dtype=torch.int8)
input2 = torch.tensor([-2, 0, 3], dtype=torch.int8)
# display the above defined tensors
print("Input Tensor 1:
", input1)
print("Input Tensor 2:
", input2)
# compute the bitwise AND of input1 and input2
output = torch.bitwise_or(input1, input2)
# print above computed bitwise and tensor
print("Bitwise OR:
", output)
print(".................................")
# define two tensors
input1 = torch.tensor([True, True, False, False])
input2 = torch.tensor([False, True, False, True])
# display the above defined tensors
print("Input Tensor 1:
", input1)
print("Input Tensor 2:
", input2)
# compute the bitwise AND of input1 and input2
output = torch.bitwise_or(input1, input2)
# print above computed bitwise and tensor
print("Bitwise OR:
", output)
Output
Input Tensor 1: tensor([ 11, -21, 3], dtype=torch.int8) Input Tensor 2: tensor([-2, 0, 3], dtype=torch.int8) Bitwise OR: tensor([ -1, -21, 3], dtype=torch.int8) ................................. Input Tensor 1: tensor([ True, True, False, False]) Input Tensor 2: tensor([False, True, False, True]) Bitwise OR: tensor([ True, True, False, True])
Example 3
In this Python program, we compute bitwise NOT of a given input tensor.
# Python 3 program to compute bitwise NOT of a given input tensor
# Import the required library
import torch
# define input tensors
input1 = torch.tensor([11, -21, 3], dtype=torch.int8)
# display the above defined tensors
print("Input Tensor 1:
", input1)
# compute the bitwise NOT
output1 = torch.bitwise_not(input1)
# print above computed bitwise NOT tensor
print("Bitwise NOT:
", output1)
# define input tensors
input2 = torch.tensor([False, True])
# display the above defined tensors
print("Input Tensor 2:
", input2)
# compute the bitwise NOT
output2 = torch.bitwise_not(input2)
# print above computed bitwise NOT tensor
print("Bitwise NOT:
", output2)
Output
Input Tensor 1: tensor([ 11, -21, 3], dtype=torch.int8) Bitwise NOT: tensor([-12, 20, -4], dtype=torch.int8) Input Tensor 2: tensor([False, True]) Bitwise NOT: tensor([ True, False])
Updated on: 2022-01-27T07:02:10+05:30
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