return s.pushDeltaXds(con, dwr, request)
	}
	return nil
}

// shouldRespondDelta determines whether this request needs to be responded back. It applies the ack/nack rules as per xds protocol
// using WatchedResource for previous state and discovery request for the current state.
func (s *DiscoveryServer) shouldRespondDelta(con *Connection, request *discovery.DeltaDiscoveryRequest) bool {

# Config setting to build oneDNN with Compute Library for the Arm Architecture (ACL).
build:mkl_aarch64 --define=build_with_mkl_aarch64=true
build:mkl_aarch64 --define=build_with_openmp=true
build:mkl_aarch64 --define=build_with_acl=true
build:mkl_aarch64 -c opt

# Config setting to build oneDNN with Compute Library for the Arm Architecture (ACL).
# with Eigen threadpool support

## Breaking Changes

*   Prebuilt binaries are now (as of TensorFlow 1.10) built against NCCL 2.2 and
    no longer include NCCL in the binary install. TensorFlow usage with multiple
    GPUs and NCCL requires upgrade to
    [NCCL 2.2](https://developer.nvidia.com/nccl). See updated install guides:
    [TensorFlow GPU support](https://www.tensorflow.org/install/gpu) and

      return 0
    fi
  fi

  echo "${hash}" > "${tar}.sha512"
  gsutil -m -q -h "Cache-Control:private, max-age=0" cp "${tar}" "${tar}.sha512" "${staging_path}"
  gsutil -m acl ch -g all:R "${gs_url}" "${gs_url}.sha512" >/dev/null 2>&1 || true
  echo "+++ ${basename_tar} uploaded (sha512 = ${hash})"
}


# Given the cluster zone, return the list of regional GCS release