tensorflow2.0 不适用于带有 python 3.6 的 spyder

Question

I had installed anaconda3.5.2 which installs python 3.6.10. I then installed tensorflow2.0. After installation, from cmd console I get into python and import tensorflow as tf. I typed tf. version and all looks good. Then I launch spyder and do the same, the import does not give any errors, however tf. version says tf is not defined. I looked at sys.path and in both cases the paths are exactly the same.

Appreciate any help and an answer.

Answer 1

This can sometimes be the case if we install Tensorflow in the Base Environment .

Recommended way is to create a Virtual Environment in Anaconda and install the Tensorflow in that Virtual Environment , which works in most of the cases.

Using Virtual Environments has advantages like

• We can maintain multiple versions of Tensorflow in multiple Virtual Environments with each Virtual Environment comprising each version like 1.14, 1.15, 2.0, 2.1, 2.2,etc..
• We can use different Python Versions ( 2.x, 3.6, 3.7 ) in each Virtual Environment
• If we want to modify the source code of any of the Tensorflow API, we can do it within our Virtual Environment, without impacting its functionality in other Virtual Environments .

Steps for Creating a New Virtual Environment and installing Tensorflow in Anaconda , for different Operating Systems, is shown below:

# Create a New Virtual Environment
conda create --name TF_2_VE

# When conda asks you to proceed, type y:
proceed ([y]/n)?

# Activate the Virtual Environment. Conda Version > 4.6 
conda activate TF_2_VE

# Activating Virtual Environment, Conda Version < 4.6 and Windows OS
activate TF_2_VE

# Activating Virtual Environment, Conda Version < 4.6 and Linux and Mac OS
source activate TF_2_VE


# Install the TF Version you need
conda install tensorflow

The above command will install the Latest Version of Tensorflow ( 2.2 as of now). If you want an older version like 2.0 , you can replace the last step of the above set of commands with

conda install tensorflow==2.0 .

Hope this information helps. Happy Learning!