How to check if I have tensorflow installed?

Use pip to install Tensor. Flow 2 as usual. (See there for extra instructions about GPU support . ) Then install a current version of tensorflow-hub next to it (must be 0.5.0 or newer). $ pip install “tensorflow> =2.0.0” $ pip install –upgrade tensorflow-hub. The TF1-style API of Tensor. Flow Hub works with the v1 compatibility mode of Tensor, and flow 2.

The pip list command shows all the packages installed using pip install. In Linux, use the grep command to filter out the results: For Windows, use findstr to filter the pip list results: The Tensor. Flow documentation recommends installing the platform through a virtual environment. Activate the virtual environment before checking the version.

This of course begs the query “How to check TensorFlow version in Python?”

Check with a specific version of Python by adding the version number to the python command : python -c “import tensorflow as tf; print(tf.__version__)” Check Tensor. Flow Version in Pip. The most common way to install Python libraries is using the pip package manager. There are two ways to print the version with pip.

Another frequently asked inquiry is “How to check if TensorFlow is using GPU?”.

When you import keras or tensorflow, you usually see some messages about successfully importing CUDA. If they are all successful, this means your GPU is working fine. Another very easy tell is your training time. Even on mnist, you should see a very significant difference in training time going from cpu to gpu.

How do I activate the TensorFlow virtual environment?

, the tensor Flow documentation recommends installing the platform through a virtual environment. Activate the virtual environment before checking the version. To activate the virtual environment, use the appropriate command for your OS: The environment shows up in the CLI as active:.

What is TensorFlow?

Whether it is CPU or GPU Tensor. Flow Bookmark this question. Show activity on this post. Name: tensorflow Version: 1.10.0 Summary: Tensor. Flow is an open source machine learning framework for everyone.