How to debug in Tensorflow2?

Question

I am new to Tensorflow and am currently working on Tensorflow2. I'm still having a hard time writing code, because I don't have the possibility to debug.

I already tried to get further with the line:

tf.executing_eagerly()

and

tf.print()

but this is only a small help compared to the "normal" debugging in python.

Is there a better possibility to debug the code and to view the content of variables?

The only thing I currently get is this view, but that doesn't give me any insight into the actual variables either:

Abhishek Verma · Accepted Answer · 2020-06-20 12:55:55Z

1

Rather than using tf.print, use the normal Python's print if you are eagerly executing. You will be able to see the contents of the variables.

answered Jun 20, 2020 at 12:55

Abhishek Verma

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6 Comments

john-mueller Over a year ago

Unfortunately I do not see the content of the variable. I see information during debugging like "dtype", "shape", "graph", "value_index" and "_name" but unfortunately no information about the content of the tensor

Abhishek Verma Over a year ago

If you are eagerly executing, it will show you the contents.

john-mueller Over a year ago

if I use print() in eager mode i get the following output: array([<tf.Tensor 'strided_slice_6:0' shape=(1,) dtype=int32>, <tf.Tensor 'strided_slice_8:0' shape=(1,) dtype=int32>, <tf.Tensor 'add_4:0' shape=(1,) dtype=int32>, <tf.Tensor 'add_5:0' shape=(1,) dtype=int32>], dtype=object)

Abhishek Verma Over a year ago

Just type the variable name and hit enter. If you are doing this in terminal or else just leave the name of variable there and run the code.

john-mueller Over a year ago

I use Visual Studio code as IDE. If I enter the pure variable name in a line, then no output is generated or nothing is output on the console

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