I can not use bazel to build tensorflow because I installed bazel with bazelisk?

  • 1 year ago
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If you are experiencing issues using Bazel to build TensorFlow after installing Bazel with Bazelisk, there are a few potential solutions to try:

  1. Ensure correct Bazel version: Make sure you have the correct version of Bazel installed that is compatible with the TensorFlow version you are trying to build. Check the TensorFlow documentation or the repository's BUILD file for the specific Bazel version requirement.

  2. Use explicit Bazel version: Instead of relying on Bazelisk to automatically select the appropriate Bazel version, explicitly specify the version of Bazel to use. You can install the specific version of Bazel and switch to it by running bazel version or bazelisk use <version>. Then, try building TensorFlow again.

  3. Update Bazelisk: If you are using an older version of Bazelisk, try updating to the latest version. Bazelisk is regularly updated to ensure compatibility with various Bazel versions and may contain bug fixes or improvements that could resolve your issue.

  4. Remove Bazelisk: If the above steps do not work, you can try uninstalling Bazelisk and installing Bazel directly. Bazelisk is designed to provide an easy way to manage Bazel versions, but in some cases, using Bazel directly may be more reliable.

  5. Use Docker or pre-built binaries: If you are still having trouble building TensorFlow with Bazel, consider using Docker or pre-built binaries provided by TensorFlow. These options can simplify the build process and provide a more streamlined experience, reducing the chances of encountering issues with Bazel configuration.

Remember to consult the TensorFlow documentation, the TensorFlow GitHub repository, or the TensorFlow community for specific guidance on building TensorFlow with Bazel and any known issues or workarounds related to your specific configuration.