fi

# This generates a pure python wheel of the format "*-py3-none-any.whl"
bazel run --HERMETIC_PYTHON_VERSION=3.13 //tensorflow/tools/pip_package:setup_py_binary -- bdist_wheel --dist-dir "$TFCI_OUTPUT_DIR"

# Get the name of the pure python wheel that was built. This should
# resolve to either
# 1. tensorflow-a.b.c-py3-none-any.whl  or, for nightly builds,
# 2. tf_nightly-a.b.c.devYYYYMMDD-py3-none-any.whl

**Raspberry Pi 2 and 3**      | [![Status](https://storage.googleapis.com/tensorflow-kokoro-build-badges/rpi23-py3.svg)](https://storage.googleapis.com/tensorflow-kokoro-build-badges/rpi23-py3.html)           | [Py3](https://storage.googleapis...

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

py_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.