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Python - PyTorch numel() method

Last Updated : 26 May, 2020
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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: Python3
# 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: Python3
# 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

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