close

[Solved] AttributeError: ‘Tensor’ object has no attribute ‘numpy’

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error AttributeError: ‘Tensor’ object has no attribute ‘numpy’ in python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How AttributeError: ‘Tensor’ object has no attribute ‘numpy’ Error Occurs?

Today I get the following error AttributeError: ‘Tensor’ object has no attribute ‘numpy’ in python.

How To Solve AttributeError: ‘Tensor’ object has no attribute ‘numpy’ Error ?

  1. How To Solve AttributeError: 'Tensor' object has no attribute 'numpy' Error ?

    To Solve AttributeError: 'Tensor' object has no attribute 'numpy' Error I suspect the place where you copied the code from had eager execution enabled, i.e. had invoked tf.enable_eager_execution() at the start of the program.

  2. AttributeError: 'Tensor' object has no attribute 'numpy'

    To Solve AttributeError: 'Tensor' object has no attribute 'numpy' Error I suspect the place where you copied the code from had eager execution enabled, i.e. had invoked tf.enable_eager_execution() at the start of the program.

Solution 1

I suspect the place where you copied the code from had eager execution enabled, i.e. had invoked tf.enable_eager_execution() at the start of the program.

You could do the same. Hope that helps.

UPDATE: Note that eager execution is enabled by default in TensorFlow 2.0. So the answer above applies only to TensorFlow 1.x

Solution 2

This can also happen in TF2.0 if your code is wrapped in a @tf.function or inside a Keras layer. Both of those run in graph mode. There’s a lot of secretly broken code out of there because behavior differs between eager and graph modes and people are not aware that they’re switching contexts, so be careful!

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

Also, Read