Python – PyTorch is_tensor() method

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PyTorch torch.is_tensor() method returns True if the passed object is a PyTorch tensor.

Syntax: torch.is_tensor(object)

Arguments

object: This is input tensor to be tested.

Return: It returns either True or False.

Let’s see this concept with the help of few examples:
Example 1:

# Importing the PyTorch library  
import torch  
    
# A constant tensor of size n 
a = torch.FloatTensor([1, 4, 6, 9]) 
print(a) 
  
# Applying the is_tensor function and  
# storing the result in 'out' 
out = torch.is_tensor(a) 
print(out) 

Output:

1
 4
 6
 9
[torch.FloatTensor of size 4]
True

Example 2:

# Importing the PyTorch library  
import torch  
    
# A constant tensor of size n 
a = torch.randn(4, 6) 
print(a) 
  
# Applying the is_tensor function and  
# storing the result in 'out' 
out = torch.is_tensor(a) 
print(out) 

Output:

 0.7491 -1.5987 -0.9733  0.0436 -0.3093  2.0007
 0.5679 -0.0092 -0.2573  0.9173  2.9849 -2.0159
-1.9215 -0.9131 -0.8244  0.4160 -0.3855  0.7033
 1.7367 -1.1454 -1.4369 -0.9856 -0.9076  0.6267
[torch.FloatTensor of size 4x6]
True

Last Updated :
26 May, 2020