def _run(self, t=None, now=None):
timestamp_pb = timestamp_pb2.Timestamp()
util.set_timestamp(timestamp_pb, t)
try:
with mock.patch.dict(os.environ, {"TZ": "UTC"}):
time.tzset()
now = datetime.datetime.fromtimestamp(now)
return util.format_time(timestamp_pb, now=now)
finally:
time.tzset()
def execute(self, server_info, channel):
api_client = export_service_pb2_grpc.TensorBoardExporterServiceStub(
channel
)
fieldmask = experiment_pb2.ExperimentMask(
create_time=True,
update_time=True,
num_scalars=True,
num_runs=True,
num_tags=True,
)
gen = exporter_lib.list_experiments(api_client, fieldmask=fieldmask)
count = 0
for experiment in gen:
count += 1
if not isinstance(experiment, experiment_pb2.Experiment):
url = server_info_lib.experiment_url(server_info, experiment)
print(url)
continue
experiment_id = experiment.experiment_id
url = server_info_lib.experiment_url(server_info, experiment_id)
print(url)
data = [
("Name", experiment.name or "[No Name]"),
("Description", experiment.description or "[No Description]"),
("Id", experiment.experiment_id),
("Created", util.format_time(experiment.create_time)),
("Updated", util.format_time(experiment.update_time)),
("Scalars", str(experiment.num_scalars)),
("Runs", str(experiment.num_runs)),
("Tags", str(experiment.num_tags)),
]
for (name, value) in data:
print("\t%s %s" % (name.ljust(12), value))
sys.stdout.flush()
if not count:
sys.stderr.write(
"No experiments. Use `tensorboard dev upload` to get started.\n"
)
else:
sys.stderr.write("Total: %d experiment(s)\n" % count)
sys.stderr.flush()
def format_experiment(self, experiment, experiment_url):
output = []
output.append(experiment_url)
data = [
("Name", experiment.name or "[No Name]"),
("Description", experiment.description or "[No Description]"),
("Id", experiment.experiment_id),
("Created", util.format_time(experiment.create_time)),
("Updated", util.format_time(experiment.update_time)),
("Runs", str(experiment.num_runs)),
("Tags", str(experiment.num_tags)),
("Scalars", str(experiment.num_scalars)),
("Binary object bytes", str(experiment.total_blob_bytes)),
]
for name, value in data:
output.append("\t%s %s" % (
name.ljust(self._NAME_COLUMN_WIDTH),
value,
))
return "\n".join(output)
def execute(self, server_info, channel):
api_client = export_service_pb2_grpc.TensorBoardExporterServiceStub(
channel)
fieldmask = export_service_pb2.ExperimentMask(
create_time=True,
update_time=True,
num_scalars=True,
num_runs=True,
num_tags=True,
)
gen = exporter_lib.list_experiments(api_client, fieldmask=fieldmask)
count = 0
for experiment in gen:
count += 1
if not isinstance(experiment, export_service_pb2.Experiment):
url = server_info_lib.experiment_url(server_info, experiment)
print(url)
continue
experiment_id = experiment.experiment_id
url = server_info_lib.experiment_url(server_info, experiment_id)
print(url)
data = [
('Id', experiment.experiment_id),
('Created', util.format_time(experiment.create_time)),
('Updated', util.format_time(experiment.update_time)),
('Scalars', str(experiment.num_scalars)),
('Runs', str(experiment.num_runs)),
('Tags', str(experiment.num_tags)),
]
for (name, value) in data:
print('\t%s %s' % (name.ljust(10), value))
sys.stdout.flush()
if not count:
sys.stderr.write(
'No experiments. Use `tensorboard dev upload` to get started.\n'
)
else:
sys.stderr.write('Total: %d experiment(s)\n' % count)
sys.stderr.flush()
