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Creating an interactive checkbox in Google Colab to control debug output during model training

  • Thread starter Thread starter Kian Farooghi
  • Start date Start date
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Kian Farooghi

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I'm trying to create an interactive checkbox in Google Colab that allows me to toggle debug output on and off during the training of a neural network. Specifically, I want to:

  1. Display a checkbox in the notebook.
  2. Print debug information when the checkbox is checked.
  3. Stop printing when the checkbox is unchecked.
  4. Be able to toggle this checkbox while a loop (simulating the training process) is running.

Here's a simplified version of what I'm attempting:

Code:
from ipywidgets import interact
import ipywidgets as widgets

@interact(check=widgets.Checkbox(value=True, description='Print debug info'))
def on_change(check):
    if check:
        print("Debug info is now being printed")
    else:
        print("Debug info is not being printed")

# Simulating the training loop
while True:
    if on_change.widget.children[0].value:
        print("Debug information")
    else:
        break

The problem is that while this code displays the checkbox, changing its value doesn't affect the loop - it's not responsive. The loop continues to run regardless of the checkbox state. How can I modify this code to create an interactive checkbox that can control the debug output in real-time during a running loop? Is there a better approach to achieve this in Google Colab?
<p>I'm trying to create an interactive checkbox in Google Colab that allows me to toggle debug output on and off during the training of a neural network. Specifically, I want to:</p>
<ol>
<li>Display a checkbox in the notebook.</li>
<li>Print debug information when the checkbox is checked.</li>
<li>Stop printing when the checkbox is unchecked.</li>
<li>Be able to toggle this checkbox while a loop (simulating the training process) is running.</li>
</ol>
<p>Here's a simplified version of what I'm attempting:</p>
<pre class="lang-py prettyprint-override"><code>from ipywidgets import interact
import ipywidgets as widgets

@interact(check=widgets.Checkbox(value=True, description='Print debug info'))
def on_change(check):
if check:
print("Debug info is now being printed")
else:
print("Debug info is not being printed")

# Simulating the training loop
while True:
if on_change.widget.children[0].value:
print("Debug information")
else:
break

</code></pre>
<p>The problem is that while this code displays the checkbox, changing its value doesn't affect the loop - it's not responsive. The loop continues to run regardless of the checkbox state.
How can I modify this code to create an interactive checkbox that can control the debug output in real-time during a running loop? Is there a better approach to achieve this in Google Colab?</p>
 

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