TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

These modifications and conversions are handled by a variety of libraries that
have different security properties and provide different levels of confidence

build:windows --copt=/d2ReducedOptimizeHugeFunctions
build:windows --host_copt=/d2ReducedOptimizeHugeFunctions

# Enable the runfiles symlink tree on Windows. This makes it possible to build
# the pip package on Windows without an intermediate data-file archive, as the
# build_pip_package script in its current form (as of Aug 2023) uses the
# runfiles symlink tree to decide what to put into the Python wheel.
startup --windows_enable_symlinks

    *   Ability to inspect Python source file against TF ops and tensors
        (command `print_source` / `ps`)
    *   New navigation bar in Curses-based UI
    *   NodeStepper (command `invoke_stepper`) now uses intermediate tensor
        dumps. It also uses `TensorHandles` as direct feeds during successive
        `cont` calls for improved performance and reduced memory consumption.