139 lines
6.8 KiB
Python
139 lines
6.8 KiB
Python
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
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"""Client and server classes corresponding to protobuf-defined services."""
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import grpc
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from tensorboard.uploader.proto import export_service_pb2 as tensorboard_dot_uploader_dot_proto_dot_export__service__pb2
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class TensorBoardExporterServiceStub(object):
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"""Service for exporting data from TensorBoard.dev.
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"""
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def __init__(self, channel):
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"""Constructor.
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Args:
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channel: A grpc.Channel.
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"""
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self.StreamExperiments = channel.unary_stream(
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'/tensorboard.service.TensorBoardExporterService/StreamExperiments',
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request_serializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentsRequest.SerializeToString,
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response_deserializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentsResponse.FromString,
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)
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self.StreamExperimentData = channel.unary_stream(
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'/tensorboard.service.TensorBoardExporterService/StreamExperimentData',
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request_serializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentDataRequest.SerializeToString,
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response_deserializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentDataResponse.FromString,
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)
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self.StreamBlobData = channel.unary_stream(
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'/tensorboard.service.TensorBoardExporterService/StreamBlobData',
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request_serializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamBlobDataRequest.SerializeToString,
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response_deserializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamBlobDataResponse.FromString,
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)
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class TensorBoardExporterServiceServicer(object):
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"""Service for exporting data from TensorBoard.dev.
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"""
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def StreamExperiments(self, request, context):
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"""Stream the experiment_id of all the experiments owned by the caller.
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"""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def StreamExperimentData(self, request, context):
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"""Stream scalars for all the runs and tags in an experiment.
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"""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def StreamBlobData(self, request, context):
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"""Stream blob as chunks for a given blob_id.
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"""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def add_TensorBoardExporterServiceServicer_to_server(servicer, server):
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rpc_method_handlers = {
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'StreamExperiments': grpc.unary_stream_rpc_method_handler(
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servicer.StreamExperiments,
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request_deserializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentsRequest.FromString,
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response_serializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentsResponse.SerializeToString,
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),
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'StreamExperimentData': grpc.unary_stream_rpc_method_handler(
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servicer.StreamExperimentData,
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request_deserializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentDataRequest.FromString,
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response_serializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentDataResponse.SerializeToString,
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),
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'StreamBlobData': grpc.unary_stream_rpc_method_handler(
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servicer.StreamBlobData,
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request_deserializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamBlobDataRequest.FromString,
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response_serializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamBlobDataResponse.SerializeToString,
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),
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}
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generic_handler = grpc.method_handlers_generic_handler(
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'tensorboard.service.TensorBoardExporterService', rpc_method_handlers)
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server.add_generic_rpc_handlers((generic_handler,))
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# This class is part of an EXPERIMENTAL API.
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class TensorBoardExporterService(object):
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"""Service for exporting data from TensorBoard.dev.
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"""
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@staticmethod
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def StreamExperiments(request,
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target,
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options=(),
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channel_credentials=None,
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call_credentials=None,
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insecure=False,
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compression=None,
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wait_for_ready=None,
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timeout=None,
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metadata=None):
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return grpc.experimental.unary_stream(request, target, '/tensorboard.service.TensorBoardExporterService/StreamExperiments',
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tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentsRequest.SerializeToString,
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tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentsResponse.FromString,
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options, channel_credentials,
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insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
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@staticmethod
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def StreamExperimentData(request,
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target,
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options=(),
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channel_credentials=None,
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call_credentials=None,
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insecure=False,
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compression=None,
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wait_for_ready=None,
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timeout=None,
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metadata=None):
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return grpc.experimental.unary_stream(request, target, '/tensorboard.service.TensorBoardExporterService/StreamExperimentData',
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tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentDataRequest.SerializeToString,
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tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentDataResponse.FromString,
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options, channel_credentials,
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insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
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@staticmethod
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def StreamBlobData(request,
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target,
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options=(),
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channel_credentials=None,
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call_credentials=None,
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insecure=False,
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compression=None,
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wait_for_ready=None,
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timeout=None,
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metadata=None):
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return grpc.experimental.unary_stream(request, target, '/tensorboard.service.TensorBoardExporterService/StreamBlobData',
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tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamBlobDataRequest.SerializeToString,
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tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamBlobDataResponse.FromString,
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options, channel_credentials,
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insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
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