TensorFlow versions before 2.2 don’t support Python 3.9, which can cause installation problems. Also, using a 32-bit Python on a 64-bit system can cause this issue because TensorFlow needs a 64-bit environment. Now that you know the causes, let’s discuss the solutions.
1. Verify the Python Version on Your System
If you are using Windows 10 with Python 3.6.X, you might have a 32-bit version on a 64-bit machine. TensorFlow only works with the 64-bit version of Python. If you downloaded Python from python.org, it’s likely 32-bit by default. To fix this, download a 64-bit installer from here. Next, set the PATH environment variable to include the Python executable. This allows you to run Python by typing “python” in the command prompt without needing the full file path. If the PATH variable isn’t set, you will get an error. As you can see, the command is not found. To run python.exe, you need to specify the full path to the executable. Follow the steps below to set the PATH variable:
2. Downgrade Your Python Version on Anaconda
If TensorFlow doesn’t work with your Python version, you can fix it by downgrading your Python version in Anaconda. This issue usually happens because certain TensorFlow versions only work with specific Python versions. By picking a compatible Python version, you ensure a smooth TensorFlow installation. After running this command, wait for a few seconds and then create a virtual environment to install TensorFlow. Name the virtual environment, for instance, “ab,” and then install the current release of CPU-only TensorFlow: After downgrading your Python version, TensorFlow should install without displaying any error. This should also work if you have installed the Desktop version of Ubuntu.
3. Update the Package Installer for Python
Pip is Python’s package installer, and you can use it to install packages. Updates come out regularly, but you need to manually update packages on your system using specific commands. If they’re outdated, this might cause a TensorFlow installation error. Update pip by running these commands to make sure all packages are current: After updating the pip packages, the installation should run smoothly, allowing you to develop interesting programming projects using TensorFlow.
