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Updated 4 years ago
Exploring Pytorch functions
A walk through Pytorch's tensor functions
An short introduction about PyTorch and about the chosen functions.
- clone()
- requires_grad_()
- split()
- where()
- linspace()
# Import torch and other required modules
import torchFunction 1 - clone()
This function is used to create a copy of your tensor
# Example 1 - working (change this)
t1 = torch.tensor([[1, 2], [3, 4.]], requires_grad=True)
x = torch.tensor([[3,4], [6,7]])
L = t1 * x