TensorFlow is a popular open-source library for machine learning and deep learning. It is widely used by researchers and developers for a variety of tasks, including image and speech recognition, natural language processing, and more. If you're working with TensorFlow on an Ubuntu system, you may need to check the version of TensorFlow that is currently installed. In this article, we will show you how to check the version of TensorFlow installed on your Ubuntu system, using both the command line and Python code.
Checking the TensorFlow version using the command line
To check the version of TensorFlow installed on your Ubuntu system using the command line, you can use the following command:
pip show tensorflow
This command will display information about the TensorFlow package, including the version number. For example, the output might look something like this:
Name: tensorflow
Version: 2.4.0
Summary: TensorFlow is an open source machine learning framework for everyone.
Home-page: https://www.tensorflow.org/
Author: Google Inc.
Author-email: packages@tensorflow.org
License: Apache 2.0
Location: /usr/local/lib/python3.6/dist-packages
Requires: absl-py, numpy, scipy, six, keras-preprocessing, opt-einsum, astunparse, protobuf, tensorboard, grpcio, h5py, keras-applications, termcolor, wheel, gast, tensorflow-estimator, wrapt
In this example, the version of TensorFlow installed is 2.4.0.
Checking the TensorFlow version using Python
You can also check the version of TensorFlow installed on your Ubuntu system using Python code. To do this, you can use the following code:
import tensorflow as tf
print(tf.__version__)
This code imports the TensorFlow library and prints the version number. For example, the output might look like this:
2.4.0
In this example, the version of TensorFlow installed is 2.4.0.
Updating TensorFlow
If you want to update TensorFlow to the latest version, you can use the following command:
pip install --upgrade tensorflow
This command will install the latest version of TensorFlow, replacing any previous version that is currently installed on your system.
In conclusion, checking the version of TensorFlow installed on your Ubuntu system is a simple task that can be done using the command line or Python code. By knowing the version of TensorFlow installed on your system, you can ensure that you are using the most up-to-date version of the library and take advantage of the latest features and improvements.
Installing TensorFlow on Ubuntu
Before you can check the version of TensorFlow installed on your Ubuntu system, you first need to have TensorFlow installed. There are several ways to install TensorFlow on Ubuntu, but the most common method is to use pip, the package installer for Python.
To install TensorFlow using pip, you can use the following command:
pip install tensorflow
This command will install the latest version of TensorFlow for Python 2.7. If you want to install TensorFlow for a different version of Python, you can specify the path to the Python executable. For example, if you want to install TensorFlow for Python 3.6, you can use the following command:
pip3 install tensorflow
Alternatively, you can also install TensorFlow using the package manager apt-get, by using the following command:
sudo apt-get install tensorflow-cpu
This command will install the CPU version of TensorFlow, which is suitable for most systems. If you have a GPU and want to take advantage of its additional processing power for training models, you can install the GPU version of TensorFlow instead, which is called tensorflow-gpu.
Dependencies for TensorFlow
Before installing TensorFlow, you need to make sure that your system has all the necessary dependencies. TensorFlow requires the following dependencies to be installed:
- Python 2.7 or 3.4-3.8
- pip or pip3
- NumPy
- protobuf
- six
You can install these dependencies using the following commands:
sudo apt-get install python3-pip python3-dev
pip3 install numpy
pip3 install protobuf
pip3 install six
TensorFlow GPU support
In order to use TensorFlow with GPU support, you need to have a compatible NVIDIA GPU and the NVIDIA CUDA Toolkit and cuDNN library installed on your system.
To check if your GPU is compatible with TensorFlow, you can use the following command:
nvidia-smi
This command will display information about your GPU, including its model and memory.
To install the NVIDIA CUDA Toolkit and cuDNN library, you can follow the instructions provided by NVIDIA on their website.
Once the NVIDIA CUDA Toolkit and cuDNN library are installed, you can install the GPU version of TensorFlow using pip, as described above.
In summary, TensorFlow is a powerful and popular library for machine learning and deep learning that can be easily installed on Ubuntu. To check the version of TensorFlow installed on your system, you can use the command line or Python code. To install TensorFlow, you can use pip or apt-get. If you want to use TensorFlow with GPU support, you need to have a compatible NVIDIA GPU and the NVIDIA CUDA Toolkit and cuDNN library installed on your system.
Popular questions
- How can I check the version of TensorFlow installed on my Ubuntu system?
You can check the version of TensorFlow installed on your Ubuntu system by using the following command in the terminal:
pip show tensorflow
This will display information about the installed version of TensorFlow, including its version number.
Alternatively, you can also use Python code to check the version of TensorFlow. You can use the following code snippet to check the version of TensorFlow:
import tensorflow as tf
print(tf.__version__)
- How can I install TensorFlow on Ubuntu?
You can install TensorFlow on Ubuntu by using the package installer for Python, pip. To install the latest version of TensorFlow for Python 2.7, you can use the following command:
pip install tensorflow
For Python 3.6, you can use the following command:
pip3 install tensorflow
Alternatively, you can also use apt-get command to install TensorFlow on Ubuntu:
sudo apt-get install tensorflow-cpu
- What are the dependencies for TensorFlow?
The dependencies for TensorFlow include:
- Python 2.7 or 3.4-3.8
- pip or pip3
- NumPy
- protobuf
- six
- How can I install TensorFlow with GPU support?
To install TensorFlow with GPU support, you need to have a compatible NVIDIA GPU and the NVIDIA CUDA Toolkit and cuDNN library installed on your system.
You can use the following command to check if your GPU is compatible with TensorFlow:
nvidia-smi
Once the NVIDIA CUDA Toolkit and cuDNN library are installed, you can install the GPU version of TensorFlow using pip, as described above.
- How can I upgrade TensorFlow to the latest version?
You can upgrade TensorFlow to the latest version by using pip. The following command will upgrade TensorFlow to the latest version:
pip install --upgrade tensorflow
If you have installed TensorFlow using apt-get, you can use the following command to upgrade TensorFlow to the latest version:
sudo apt-get install --only-upgrade tensorflow-gpu
Note that if you have any compatibility issues with the new version, you might want to check the release notes and make sure that your code is compatible with the latest version before upgrading.
Tag
TensorFlow
