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Learn the steps to locate the .whl package generated after building TensorFlow from source using Bazel.
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How to Locate the .whl Package After Building TensorFlow with Bazel?

Building TensorFlow from source can be a rewarding process, allowing you to customize the build to fit your specific needs. Once you've successfully built TensorFlow using Bazel, the next step is to locate the .whl package, which is essential for installing and using TensorFlow in your Python environment. Here’s a straightforward guide to help you find that elusive .whl file.

Building TensorFlow from Source

Before you can locate the .whl package, you need to have successfully built TensorFlow from source. This process involves:

Cloning the TensorFlow Repository:

[[See Video to Reveal this Text or Code Snippet]]

Configuring the Build:
Run the configuration script to set up TensorFlow according to your environment and preferences.

[[See Video to Reveal this Text or Code Snippet]]

Initiating the Build Process:
Use Bazel to build the TensorFlow package. This step might take some time, depending on your system's capabilities.

[[See Video to Reveal this Text or Code Snippet]]

Creating the Pip Package:
After the build completes, create the pip package.

[[See Video to Reveal this Text or Code Snippet]]

Locating the .whl Package

Once the build process is complete, the .whl file will be created in the specified directory. By default, this directory is usually /tmp/tensorflow_pkg. To confirm the location and file, follow these steps:

Check the Target Directory:
In the command used to create the pip package, the target directory /tmp/tensorflow_pkg is where the .whl file should be located.

[[See Video to Reveal this Text or Code Snippet]]

This command should list the .whl file(s). For example:

[[See Video to Reveal this Text or Code Snippet]]

Verify the File:
Ensure that the .whl file matches the TensorFlow version and build configuration you intended to create.

Alternative Directory:
If you specified a different directory in the build command, ensure you change /tmp/tensorflow_pkg to point to your chosen directory.

Installation:
Once you have located your .whl file, you can install it using pip.

[[See Video to Reveal this Text or Code Snippet]]

Building TensorFlow from source using Bazel and locating the .whl package may seem complicated at first, but following these clear steps will lead you to a successful build and installation. Enjoy the customization and performance benefits of your tailored TensorFlow build!