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Given the following text problem statement, write Python code to implement the functionality described below in problem statement
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Problem:
I want to use a logical index to slice a torch tensor. Which means, I want to select the columns that get a '0' in the logical index.
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Python Code:
import numpy as np
import pandas as pd
import torch
A_log, B = load_data()
for i in range(len(A_log)):
    if A_log[i] == 1:
        A_log[i] = 0
    else:
        A_log[i] = 1
C = B[:, A_log.bool()]
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