@test "Pip package generated license includes all dependencies' licenses" {
  do_external_licenses_check \
    "//tensorflow/tools/pip_package:wheel" \
    "//tensorflow/tools/pip_package:licenses"
}

@test "Libtensorflow generated license includes all dependencies' licenses" {
  do_external_licenses_check \
    "//tensorflow:libtensorflow.so" \
    "//tensorflow/tools/lib_package:clicenses_generate"
}

  do_external_licenses_check \
    "//tensorflow/tools/pip_package:build_pip_package" \
    "//tensorflow/tools/pip_package:licenses"
}

@test "Libtensorflow generated license includes all dependencies' licenses" {
  do_external_licenses_check \
    "//tensorflow:libtensorflow.so" \
    "//tensorflow/tools/lib_package:clicenses_generate"
}

# BEGIN TF TEST SUITE OPTIONS
# These are convenience config options that effectively declare TF's CI test suites. Look
# at the scripts of ci/official/ to see how TF's CI uses them.

# LIBTENSORFLOW TESTS are for building Libtensorflow archives. These are CUDA/CPU-agnostic.
test:linux_libtensorflow_test -- //tensorflow/tools/lib_package:libtensorflow_test //tensorflow/tools/lib_package:libtensorflow_java_test

# kernels. Does not include the implementations of any ops or kernels. Instead,
# the library which loads libtensorflow_framework.so
# (e.g. _pywrap_tensorflow_internal.so for Python, libtensorflow.so for the C
# API) is responsible for registering ops with libtensorflow_framework.so. In
# addition to this core set of ops, user libraries which are loaded (via

includedir=\${prefix}/include/tensorflow

Name: TensorFlow
Version: ${TF_VERSION}
Description: Library for computation using data flow graphs for scalable machine learning
Requires:
Libs: -L\${libdir} -ltensorflow -ltensorflow_framework
Cflags: -I\${includedir}
EOF

cat << EOF > tensorflow_cc.pc
prefix=${TF_PREFIX}
exec_prefix=\${prefix}
libdir=\${exec_prefix}/${LIBDIR}
includedir=\${prefix}/include/tensorflow

    [executing quantized models on the GPU](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/g3doc/performance/gpu_advanced.md#running-quantized-models-experimental).

*   Libtensorflow packages are available in GCS starting this release. We have
    also started to
    [release a nightly version of these packages](https://github.com/tensorflow/tensorflow#official-builds).