In Tensorflow's init .py, tensorboard appears to be initialized (including tf.summary):
` # Hook external TensorFlow modules.

Import compat before trying to import summary from tensorboard, so that

reexport_tf_summary can get compat from sys.modules. Only needed if using

lazy loading.

_current_module.compat.v2 # pylint: disable=pointless-statement
try:
from tensorboard.summary._tf import summary
_current_module.path = (
[_module_util.get_parent_dir(summary)] + _current_module.path)
setattr(_current_module, "summary", summary)
except ImportError:
_logging.warning(
"Limited tf.summary API due to missing TensorBoard installation.") I call Task.init ` after I import tensorflow (and thus tensorboard?) but before I create the opennmt runner. Should this be ok? Are you referring to something else when saying "call Task.init beofre TB is created"?