import torch # Create a Boolean tensor using a list of values bool_tensor = torch.tensor([True, False, True, False], dtype=torch.bool) print(bool_tensor)
tensor([ True, False, True, False])
import torch # Create a Boolean tensor using a comparison operator tensor_a = torch.tensor([1, 2, 3, 4]) bool_tensor = tensor_a > 2 print(bool_tensor)
tensor([False, False, True, True])In this example, we create a Boolean tensor using a comparison operator (`>`) on a regular tensor `tensor_a`. The resulting Boolean tensor contains `True` values where the elements in `tensor_a` are greater than 2. Overall, the Python torch Tensor bool package library provides a useful tool for working with Boolean values in machine learning applications.