PyTorch torch.add() method adds a constant value to each element of the input tensor and returns a new modified tensor.
Syntax:
torch.add(inp, c, out=None)Arguments
- inp: This is input tensor.
- c: The value that is to be added to every element of tensor.
- out: This is optional parameter and it is the output tensor.
Return: It returns a Tensor.
Let’s see this concept with the help of few examples:
Example 1:
Example 1:
# Importing the PyTorch library import torch # A constant tensor of size 6 a = torch.randn(6) print(a) # Applying the add function and # storing the result in 'b' b = torch.add(a, 5) print(b) |
Output:
0.2403 1.3826 -0.1763 -1.5177 -0.0555 1.4558 [torch.FloatTensor of size 6] 5.2403 6.3826 4.8237 3.4823 4.9445 6.4558 [torch.FloatTensor of size 6]
Example 2:
# Importing the PyTorch library import torch # A constant tensor of size 6 a = torch.FloatTensor([1, 3, 8, 4, 10]) print(a) # Applying the add function and # storing the result in 'b' b = torch.add(a, 5) print(b) |
Output:
1 3 8 4 10 [torch.FloatTensor of size 5] 6 8 13 9 15 [torch.FloatTensor of size 5]
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