PyTorch torch.frac() method computes the fractional portion of each element in input.
Syntax:
torch.frac(input, out=None)Arguments
- input: This is input tensor.
- out: 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 n a = torch.FloatTensor([-5.4, 6.6, -7.1099, 4.4567]) print(a) # Applying the frac function and # storing the result in 'out' out = torch.frac(a) print(out) |
Output:
-5.4000 6.6000 -7.1099 4.4567 [torch.FloatTensor of size 4] -0.4000 0.6000 -0.1099 0.4567 [torch.FloatTensor of size 4]
Example 2:
# Importing the PyTorch library import torch # A constant tensor of size n a = torch.randn(6) print(a) # Applying the frac function and # storing the result in 'out' out = torch.frac(a) print(out) |
Output:
-0.5260 -1.8843 0.8062 1.2264 -0.1505 -0.3217 [torch.FloatTensor of size 6] -0.5260 -0.8843 0.8062 0.2264 -0.1505 -0.3217 [torch.FloatTensor of size 6]
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sympy.frac() method in Python
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