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Updated 4 years ago
assignment 1 :
Top 5 Pytorch functions you should have to know
An short introduction about PyTorch and about the chosen functions.
- torch.rand() : Returns a tensor filled with random numbers from a uniform distribution on the interval(0,1).
- torch.randint() : Returns a tensor filled with random integers generated uniformly between low and high .
- torch.randperm(): Returns a random permutation of integers from 0 to n - 1.
- torch.numel() : Returns a number of elemnts in an input tensor .
- torch.empthy() : Returns a tensor filled with uninitialized data.
# Import torch and other required modules
import torch
Function 1 - torch.rand(*size, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False) → Tensor
Returns a tensor filled with random numbers from a uniform distribution on the interval [0, 1)[0,1)
# Example 1 - working
torch.rand(4)
tensor([0.8082, 0.9993, 0.2175, 0.0240])
it filled with 4 random on the interval 0,1