def execute(self, server_info, channel):
api_client = write_service_pb2_grpc.TensorBoardWriterServiceStub(
channel)
_die_if_bad_experiment_name(self.name)
_die_if_bad_experiment_description(self.description)
uploader = uploader_lib.TensorBoardUploader(
api_client,
self.logdir,
allowed_plugins=server_info_lib.allowed_plugins(server_info),
upload_limits=server_info_lib.upload_limits(server_info),
name=self.name,
description=self.description,
)
experiment_id = uploader.create_experiment()
url = server_info_lib.experiment_url(server_info, experiment_id)
print(
"Upload started and will continue reading any new data as it's added"
)
print("to the logdir. To stop uploading, press Ctrl-C.")
print("View your TensorBoard live at: %s" % url)
try:
uploader.start_uploading()
except uploader_lib.ExperimentNotFoundError:
print("Experiment was deleted; uploading has been cancelled")
return
except KeyboardInterrupt:
print()
print("Upload stopped. View your TensorBoard at %s" % url)
return
# TODO(@nfelt): make it possible for the upload cycle to end once we
# detect that no more runs are active, so this code can be reached.
print("Done! View your TensorBoard at %s" % url)
def test_more_plugins(self):
info = server_info_pb2.ServerInfoResponse()
info.plugin_control.allowed_plugins.append("foo")
info.plugin_control.allowed_plugins.append("bar")
info.plugin_control.allowed_plugins.append("foo")
actual = server_info.allowed_plugins(info)
self.assertEqual(actual, frozenset(["foo", "bar"]))
def execute(self, server_info, channel):
if self.dry_run:
api_client = dry_run_stubs.DryRunTensorBoardWriterStub()
else:
api_client = write_service_pb2_grpc.TensorBoardWriterServiceStub(
channel
)
_die_if_bad_experiment_name(self.name)
_die_if_bad_experiment_description(self.description)
uploader = uploader_lib.TensorBoardUploader(
api_client,
self.logdir,
allowed_plugins=server_info_lib.allowed_plugins(server_info),
upload_limits=server_info_lib.upload_limits(server_info),
name=self.name,
description=self.description,
verbosity=self.verbosity,
one_shot=self.one_shot,
)
if self.one_shot and not os.path.isdir(self.logdir):
print("%s: No such directory." % self.logdir)
print(
"User specified `one_shot` mode with an unavailable "
"logdir. Exiting without creating an experiment."
)
return
experiment_id = uploader.create_experiment()
url = server_info_lib.experiment_url(server_info, experiment_id)
if self.experiment_url_callback is not None:
self.experiment_url_callback(url)
print(
"Upload started and will continue reading any new data as it's "
"added to the logdir.\n\nTo stop uploading, press Ctrl-C."
)
if self.dry_run:
print(
"\n** This is a dry run. "
"No data will be sent to tensorboard.dev. **\n"
)
else:
print("\nView your TensorBoard live at: %s\n" % url)
interrupted = False
try:
uploader.start_uploading()
except uploader_lib.ExperimentNotFoundError:
print("Experiment was deleted; uploading has been cancelled")
return
except KeyboardInterrupt:
interrupted = True
finally:
end_message = "\n"
if interrupted:
end_message += "Interrupted."
else:
end_message += "Done."
if not self.dry_run:
end_message += " View your TensorBoard at %s" % url
sys.stdout.write(end_message + "\n")
sys.stdout.flush()
def execute(self, server_info, channel):
if self.dry_run:
api_client = dry_run_stubs.DryRunTensorBoardWriterStub()
else:
api_client = write_service_pb2_grpc.TensorBoardWriterServiceStub(
channel
)
_die_if_bad_experiment_name(self.name)
_die_if_bad_experiment_description(self.description)
uploader = uploader_lib.TensorBoardUploader(
api_client,
self.logdir,
allowed_plugins=server_info_lib.allowed_plugins(server_info),
upload_limits=server_info_lib.upload_limits(server_info),
name=self.name,
description=self.description,
verbosity=self.verbosity,
one_shot=self.one_shot,
)
experiment_id = uploader.create_experiment()
url = server_info_lib.experiment_url(server_info, experiment_id)
print(
"Upload started and will continue reading any new data as it's added"
)
print("to the logdir. To stop uploading, press Ctrl-C.")
if self.dry_run:
print(
"\n** This is a dry run. "
"No data will be sent to tensorboard.dev. **\n"
)
else:
print("View your TensorBoard live at: %s" % url)
try:
uploader.start_uploading()
except uploader_lib.ExperimentNotFoundError:
print("Experiment was deleted; uploading has been cancelled")
return
except KeyboardInterrupt:
pass
finally:
if not self.dry_run:
print()
print("Done! View your TensorBoard at %s" % url)
def execute(self):
api_client = write_service_pb2_grpc.TensorBoardWriterServiceStub(
self.channel)
uploader = uploader_lib.TensorBoardUploader(
api_client,
self.args.logdir,
allowed_plugins=server_info_lib.allowed_plugins(self.server_info),
name=self.args.name,
description=self.args.description,
)
experiment_id = uploader.create_experiment()
url = server_info_lib.experiment_url(self.server_info, experiment_id)
# Blocks forever to continuously upload data from the logdir
#print("Upload started and will continue reading any new data as it's added")
#print("View your TensorBoard live at: %s" % url)
#uploader.start_uploading()
# Runs one upload cycle
uploader._upload_once()
return url
def test_scalars_only(self):
info = server_info_pb2.ServerInfoResponse()
info.plugin_control.allowed_plugins.append(
scalars_metadata.PLUGIN_NAME)
actual = server_info.allowed_plugins(info)
self.assertEqual(actual, frozenset([scalars_metadata.PLUGIN_NAME]))
def test_provided_but_no_plugins(self):
info = server_info_pb2.ServerInfoResponse()
info.plugin_control.SetInParent()
actual = server_info.allowed_plugins(info)
self.assertEqual(actual, frozenset([]))
def test_old_server_no_plugins(self):
info = server_info_pb2.ServerInfoResponse()
actual = server_info.allowed_plugins(info)
self.assertEqual(actual, frozenset([scalars_metadata.PLUGIN_NAME]))
