Inspect the Running Python ML Process

1. Set a breakpoint at the forward pass of test data.

images, labels = data
breakpoint()
outputs = net(images)               # forward pass of test data

2. Start the neural network python file using GDB.

$ gdb python3

(gdb) run [PATH_TO_FILE]/[FILENAME].py

3. When the process reaches the breakpoint you previously set, control will be transferred to PDB. Print out the hex memory locations of a few objects in the Python process.

4. Print out the fields/attributes of the objects.

5. Return to GDB by pressing Ctrl + C. Print the PID (process identifier) of the Python process.

You will later reference the above information to corroborate the results of your memory dump analysis.