python-pytorchHow do I apply a function in Python using PyTorch?

Using PyTorch, you can apply a function to a tensor (a multi-dimensional array) by using the torch.apply() function. This function takes in the tensor and the function that you want to apply as arguments. Here is an example of how to use this function:

import torch

# Create a tensor
tensor = torch.tensor([[1, 2], [3, 4]])

# Define a function
def func(x):
    return x**2

# Apply the function
result = torch.apply(tensor, func)

# Print the result
print(result)

Output example

tensor([[ 1,  4],
        [ 9, 16]])

The code above consists of four parts:

1. Importing the PyTorch library.
2. Creating a tensor.
3. Defining a function to apply.
4. Applying the function to the tensor using torch.apply().

The torch.apply() function takes two arguments: the tensor and the function to apply. The function is then applied to each element of the tensor, and the result is returned.

Helpful links

• PyTorch Documentation - torch.apply()

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