December 2018
Intermediate to advanced
764 pages
18h 18m
English
book
Python: Advanced Guide to Artificial Intelligence
by Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani
Content preview from Python: Advanced Guide to Artificial Intelligence
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Debugging with the TensorFlow debugger (tfdbg)
The TensorFlow debugger (tfdbg) works the same way at a high level as other popular debuggers, such as pdb and gdb. To use a debugger, the process is generally as follows:
- Set the breakpoints in the code at locations where you want to break and inspect the variables
- Run the code in debug mode
- When the code breaks at a breakpoint, inspect it and then move on to next step
Some debuggers also allow you to interactively watch the variables while the code is executing, not just at the breakpoint:
- In order to use tfdbg, first import the required modules and wrap the session inside a debugger wrapper:
from tensorflow.python import debug as tfdwith tfd.LocalCLIDebugWrapperSession(tf.Session())
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