Python - PyTorch exp() method

Python – PyTorch numel() method

Last Updated : 26 May, 2020

PyTorch torch.numel() method returns the total number of elements in the input tensor.

Syntax: torch.numel(input)

Arguments

input: This is input tensor.

Return: It returns the length of the input tensor.

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.randn(4, 6) 
print(a) 
  
# Applying the numel function and  
# storing the result in 'out' 
out = torch.numel(a) 
print(out) 

Output:

-0.8263  0.9807 -1.4688  0.2117 -0.8356 -0.0228
-0.8815  1.3652 -0.1892 -1.1241  0.2755  1.3006
 0.0559  0.2389  0.7944  2.6587 -2.0908  1.2973
-0.2056  0.4110  0.2163  0.3091  0.5559 -0.2468
[torch.FloatTensor of size 4x6]
24

Example 2:

# Importing the PyTorch library  
import torch  
    
# A constant tensor of size n 
a = torch.FloatTensor([1, 4, 6, 8]) 
print(a) 
  
# Applying the numel function and  
# storing the result in 'out' 
out = torch.numel(a) 
print(out) 

Output:

 1
 4
 6
 8
[torch.FloatTensor of size 4]
4

Python - PyTorch exp() method

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