| Current Path : /usr/local/lib/python3.8/dist-packages/tensorboard/data/proto/ |
Linux ift1.ift-informatik.de 5.4.0-216-generic #236-Ubuntu SMP Fri Apr 11 19:53:21 UTC 2025 x86_64 |
| Current File : //usr/local/lib/python3.8/dist-packages/tensorboard/data/proto/data_provider_pb2_grpc.py |
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
from tensorboard.data.proto import data_provider_pb2 as tensorboard_dot_data_dot_proto_dot_data__provider__pb2
class TensorBoardDataProviderStub(object):
# missing associated documentation comment in .proto file
pass
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.GetExperiment = channel.unary_unary(
'/tensorboard.data.TensorBoardDataProvider/GetExperiment',
request_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.GetExperimentRequest.SerializeToString,
response_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.GetExperimentResponse.FromString,
)
self.ListPlugins = channel.unary_unary(
'/tensorboard.data.TensorBoardDataProvider/ListPlugins',
request_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListPluginsRequest.SerializeToString,
response_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListPluginsResponse.FromString,
)
self.ListRuns = channel.unary_unary(
'/tensorboard.data.TensorBoardDataProvider/ListRuns',
request_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListRunsRequest.SerializeToString,
response_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListRunsResponse.FromString,
)
self.ListScalars = channel.unary_unary(
'/tensorboard.data.TensorBoardDataProvider/ListScalars',
request_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListScalarsRequest.SerializeToString,
response_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListScalarsResponse.FromString,
)
self.ReadScalars = channel.unary_unary(
'/tensorboard.data.TensorBoardDataProvider/ReadScalars',
request_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadScalarsRequest.SerializeToString,
response_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadScalarsResponse.FromString,
)
self.ListTensors = channel.unary_unary(
'/tensorboard.data.TensorBoardDataProvider/ListTensors',
request_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListTensorsRequest.SerializeToString,
response_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListTensorsResponse.FromString,
)
self.ReadTensors = channel.unary_unary(
'/tensorboard.data.TensorBoardDataProvider/ReadTensors',
request_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadTensorsRequest.SerializeToString,
response_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadTensorsResponse.FromString,
)
self.ListBlobSequences = channel.unary_unary(
'/tensorboard.data.TensorBoardDataProvider/ListBlobSequences',
request_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListBlobSequencesRequest.SerializeToString,
response_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListBlobSequencesResponse.FromString,
)
self.ReadBlobSequences = channel.unary_unary(
'/tensorboard.data.TensorBoardDataProvider/ReadBlobSequences',
request_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadBlobSequencesRequest.SerializeToString,
response_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadBlobSequencesResponse.FromString,
)
self.ReadBlob = channel.unary_stream(
'/tensorboard.data.TensorBoardDataProvider/ReadBlob',
request_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadBlobRequest.SerializeToString,
response_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadBlobResponse.FromString,
)
class TensorBoardDataProviderServicer(object):
# missing associated documentation comment in .proto file
pass
def GetExperiment(self, request, context):
"""Get metadata about an experiment.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ListPlugins(self, request, context):
"""List plugins that have data for an experiment.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ListRuns(self, request, context):
"""List runs within an experiment.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ListScalars(self, request, context):
"""List metadata about scalar time series.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ReadScalars(self, request, context):
"""Read data from scalar time series.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ListTensors(self, request, context):
"""List metadata about tensor time series.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ReadTensors(self, request, context):
"""Read data from tensor time series.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ListBlobSequences(self, request, context):
"""List metadata about blob sequence time series.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ReadBlobSequences(self, request, context):
"""Read blob references from blob sequence time series. See `ReadBlob` to read
the actual blob data.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ReadBlob(self, request, context):
"""Read data for a specific blob.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def add_TensorBoardDataProviderServicer_to_server(servicer, server):
rpc_method_handlers = {
'GetExperiment': grpc.unary_unary_rpc_method_handler(
servicer.GetExperiment,
request_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.GetExperimentRequest.FromString,
response_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.GetExperimentResponse.SerializeToString,
),
'ListPlugins': grpc.unary_unary_rpc_method_handler(
servicer.ListPlugins,
request_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListPluginsRequest.FromString,
response_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListPluginsResponse.SerializeToString,
),
'ListRuns': grpc.unary_unary_rpc_method_handler(
servicer.ListRuns,
request_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListRunsRequest.FromString,
response_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListRunsResponse.SerializeToString,
),
'ListScalars': grpc.unary_unary_rpc_method_handler(
servicer.ListScalars,
request_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListScalarsRequest.FromString,
response_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListScalarsResponse.SerializeToString,
),
'ReadScalars': grpc.unary_unary_rpc_method_handler(
servicer.ReadScalars,
request_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadScalarsRequest.FromString,
response_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadScalarsResponse.SerializeToString,
),
'ListTensors': grpc.unary_unary_rpc_method_handler(
servicer.ListTensors,
request_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListTensorsRequest.FromString,
response_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListTensorsResponse.SerializeToString,
),
'ReadTensors': grpc.unary_unary_rpc_method_handler(
servicer.ReadTensors,
request_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadTensorsRequest.FromString,
response_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadTensorsResponse.SerializeToString,
),
'ListBlobSequences': grpc.unary_unary_rpc_method_handler(
servicer.ListBlobSequences,
request_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListBlobSequencesRequest.FromString,
response_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ListBlobSequencesResponse.SerializeToString,
),
'ReadBlobSequences': grpc.unary_unary_rpc_method_handler(
servicer.ReadBlobSequences,
request_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadBlobSequencesRequest.FromString,
response_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadBlobSequencesResponse.SerializeToString,
),
'ReadBlob': grpc.unary_stream_rpc_method_handler(
servicer.ReadBlob,
request_deserializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadBlobRequest.FromString,
response_serializer=tensorboard_dot_data_dot_proto_dot_data__provider__pb2.ReadBlobResponse.SerializeToString,
),
}
generic_handler = grpc.method_handlers_generic_handler(
'tensorboard.data.TensorBoardDataProvider', rpc_method_handlers)
server.add_generic_rpc_handlers((generic_handler,))