def _cleanup(tb_hdfs_path):
"""
Args:
tb_hdfs_path:
Returns:
"""
handle = hopshdfs.get()
if not tb_hdfs_path == None and not tb_hdfs_path == '' and handle.exists(tb_hdfs_path):
handle.delete(tb_hdfs_path)
hopshdfs._kill_logger()
def end(metric=None):
"""
End a custom Experiment previously registered with *begin* and register a metric to associate with it.
Args:
:metric: The metric to associate with the Experiment
"""
global running
global experiment_json
global elastic_id
global driver_tensorboard_hdfs_path
global app_id
if not running:
raise RuntimeError(
"An experiment is not running. Did you forget to call experiment.end()?"
)
try:
if metric:
experiment_json = util._finalize_experiment(
experiment_json, None, str(metric))
util._put_elastic(hopshdfs.project_name(), app_id, elastic_id,
experiment_json)
else:
experiment_json = util._finalize_experiment(
experiment_json, None, None)
util._put_elastic(hopshdfs.project_name(), app_id, elastic_id,
experiment_json)
except:
_exception_handler()
raise
finally:
elastic_id += 1
running = False
handle = hopshdfs.get()
if tensorboard.tb_pid != 0:
subprocess.Popen(["kill", str(tensorboard.tb_pid)])
if tensorboard.local_logdir_bool:
local_tb = tensorboard.local_logdir_path
util._store_local_tensorboard(local_tb, tensorboard.events_logdir)
if not tensorboard.endpoint == None and not tensorboard.endpoint == '' \
and handle.exists(tensorboard.endpoint):
handle.delete(tensorboard.endpoint)
hopshdfs._kill_logger()