Error "NameError: name 'logdir' is not defined"

Question

As beginner, I am following the tutorials from the tensorflow website. In the regression part, I am getting the following error

command: size_histories['Tiny'] = compile_and_fit(tiny_model, 'sizes/Tiny')

Error:

NameError: name 'logdir' is not defined

I will really appreciate any help.

The complete error message is here:

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-29-6b42ade0df41> in <module>
----> 1 size_histories['Small'] = compile_and_fit(small_model, 'sizes/Small')

<ipython-input-20-37c172377a6c> in compile_and_fit(model, name, optimizer, max_epochs)
     16     epochs=max_epochs,
     17     validation_data=validate_ds,
---> 18     callbacks=get_callbacks(name),
     19     verbose=0)
     20   return history

<ipython-input-19-1fd695b661fd> in get_callbacks(name)
      3     tfdocs.modeling.EpochDots(),
      4     tf.keras.callbacks.EarlyStopping(monitor='val_binary_crossentropy', patience=200),
----> 5     tf.keras.callbacks.TensorBoard(logdir/name),
      6   ]

NameError: name 'logdir' is not defined

Answer 1

So by googling "compile_and_fit" "tiny_model" logdir I found that the tutorial you're following must behttps://www.tensorflow.org/tutorials/keras/overfit_and_underfit

As the backtrace tells you, compile_and_fit() calls get_callbacks() , which in turn uses the variable logdir . logdir is not passed directly to get_callbacks() as a parameter, nor is it defined anywhere inside the function. So, get_callbacks() gets to that line, sees the name logdir , fails to find anything of that name in its local variables, and therefore tries to access a global variable of that name instead. But Python is complaining that nothing of that name exists at all, not even a global variable—so I guess you must have skipped the earlier part of the tutorial, where you would have set up that global variable:

logdir = pathlib.Path(tempfile.mkdtemp())/"tensorboard_logs"
shutil.rmtree(logdir, ignore_errors=True)