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Python is an object-oriented, general-purpose, high-level programming language that has been around for a long time but is still the programming language with many practical applications and is used today.
When you try to complete your task, you get this error: “NotImplementedError: Cannot convert a symbolic Tensor (lstm_2/strided_slice:0) to a numpy array“.
This error is one of the most popular errors any programmer will make. So, why does it appear, and how can it be resolved? We’ll go over it with you.
Why Does The Error: NotImplementedError: Cannot convert a symbolic Tensor (lstm_2/strided_slice:0) to a numpy array Occur?
You are trying to run the code with tensorflow version 2.3.1 and numpy version 1.20. However, you received the following error in the stacktrack:
NotImplementedError: Cannot convert a symbolic Tensor (lstm_2/strided_slice:0) to a numpy array. This error may indicate that you're trying to pass a Tensor to a NumPy call, which is not supported
The Effective Methods For You
And, guess what, we just solved it using some methods listed below.
Method 1: Downgrade numpy
You need to downgrade NumPy to 1.18.5 using this code.
pip install -U numpy==1.18.5
Your error must now be fixed.
Method 2: Downgrading your Python
The second way is very simple. You have to downgrade Python from 3.8 to 3.6. Now, we believe that your error has been solved.
Method 3: Tensorflow
TensorFlow and TensorFlow-GPU 2.5 packages still require NumPy-1.19.5. The error mentioned in this post will be reproduced if TensorFlow 2.5 is installed alongside numpy>1.19.5. Python-3.9 is compatible with TensorFlow-2.5 and NumPy-1.19.5.
Method 4: Upgrade tensorflow 2.7.0
& numpy 1.21.4
Upgrading tensorflow 2.7.0
& numpy 1.21.4
pip uninstall tensorflow
pip install tensorflow
pip uninstall numpy
pip install numpy
Method 5: Using anaconda
To fix this error, using anaconda with this command
conda install numpy=1.19
Conclusion
The solutions mentioned above are the best options for those still confused with this error: “NotImplementedError: Cannot convert a symbolic Tensor (lstm_2/strided_slice:0) to a numpy array”.
If you need our support or have other questions, we have a thriving community where everyone is always willing to help. If you want to learn Python, bookmark our Python category and begin learning about this well-known programming language.
We wish you a more productive day filled with new solutions and code.
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