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Assignment One

A little about torch.Tensor

An short introduction about PyTorch and about the chosen functions.

  • torch.arange
  • torch.split
  • torch.stack
  • torch.abs
  • torch.add
# Import torch and other required modules
import torch
import numpy

Function 1 - torch.arange

Returns a one dimensional tensor with values from start to end incremented by steps

# Example 1 - 1-D tensor with size of 10 with steps of 1
torch.arange(10)
tensor([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])

Notice that the tensor is started with 0. If no start parameter is provided, it defaults to 0.