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pyTorch Functions.

An short introduction about PyTorch and about the chosen functions.

  • torch.zeros()
  • torch.transpose()
  • torch.randint()
  • torch.add()
  • torch.log2()

Before we begin, let's install and import PyTorch

# Uncomment and run the appropriate command for your operating system, if required

# Linux / Binder
# !pip install numpy torch==1.7.0+cpu torchvision==0.8.1+cpu torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html

# Windows
# !pip install numpy torch==1.7.0+cpu torchvision==0.8.1+cpu torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html

# MacOS
# !pip install numpy torch torchvision torchaudio
# Import torch and other required modules
import torch

Function 1 - torch.zeros(size) → Tensor

Returns a tensor filled with the scalar value 0, with the shape defined by the variable argument size.

# Example 1 - working (change this)
torch.zeros(5)
tensor([0., 0., 0., 0., 0.])