rm -f /dt10/usr/include/aarch64-linux-gnu/$f
  ln -s /usr/include/aarch64-linux-gnu/$f /dt10/usr/include/aarch64-linux-gnu/$f
done
popd

# Python 3.10 include headers fix:
# sysconfig.get_path('include') incorrectly points to /usr/local/include/python
# map /usr/include/python3.10 to /usr/local/include/python3.10
if [[ ! -f "/usr/local/include/$VERSION" ]]; then
  ln -sf /usr/include/$VERSION /usr/local/include/$VERSION
fi

#   re-running tests. However, note that:
#
#    - New environments like new CUDA versions, changes to manylinux,
#      compilers, etc. can cause undefined behavior such as build failures
#      or tests passing incorrectly.
#    - Automatic LLVM updates are known to extend build time even with
#      the cache; this is unavoidable.
export TFCI=py311,linux_x86,public_cache,disk_cache

# Recommended: Configure Docker. (Linux only)
#

//
// Typical use case, is to infer tensor properties from a graph, before doing
// optimization pass. Nodes modified during optimization pass have to be
// invalidated, to prevent further incorrect optimizations based on wrong shape
// and data type properties.
typedef struct TF_GraphProperties TF_GraphProperties;

// Create GraphProperties. The item must outlive the properties.

    flexible and reproducible package, is available via the new
    `tf.contrib.data.Dataset.from_generator` method!
*   Fix `tf.contrib.distributions.Affine` incorrectly computing
    log-det-jacobian.
*   Fix `tf.random_gamma` incorrectly handling non-batch, scalar draws.
*   Resolved a race condition in TensorForest TreePredictionsV4Op.
*   Google Cloud Storage file system, Amazon S3 file system, and Hadoop file

    ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());

    std::array<TensorHandlePtr, 2> incorrect_components;
    ExtractPerDeviceValues(context.get(), combined_value.get(),
                           &incorrect_components, status.get());
    ASSERT_TRUE(TF_GetCode(status.get()) == TF_INVALID_ARGUMENT)
        << TF_Message(status.get());
  }

  {