langs.append(lang_path.name)
    print(json.dumps(langs))


@app.command()
def generate_docs_src_versions_for_file(file_path: Path) -> None:
    target_versions = ["py39", "py310"]
    base_content = file_path.read_text(encoding="utf-8")
    previous_content = {base_content}
    for target_version in target_versions:
        version_result = subprocess.run(
            [

    root_file_name = "v2.py",
    root_init_template = "api_template.__init__.py",
    visibility = ["//visibility:public"],
)

py_strict_library(
    name = "tensorflow_py",
    srcs_version = "PY3",
    visibility = ["//visibility:public"],
    deps = [
        ":tensorflow_py_no_contrib",
        "//tensorflow/lite/python:analyzer",
        "//tensorflow/lite/python:lite",

[TensorFlow's Docker images](https://hub.docker.com/r/tensorflow/tensorflow/)
provide Python 3 exclusively. Because all images now use Python 3, Docker tags
containing `-py3` will no longer be provided and existing `-py3` tags like
`latest-py3` will not be updated.

## Major Features and Improvements

*   Replaced the scalar type for string tensors from `std::string` to
    `tensorflow::tstring` which is now ABI stable.