bayesian optimization draft

.gitignore

@@ -1,3 +1,7 @@
+# python ignore files
+__pycache__/
+.idea/
+
 # Project specific ignore files
 *.swp
 bin

api/python/api_pb2_grpc.py

@@ -0,0 +1,283 @@
+# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
+import grpc
+
+import api.python.api_pb2 as api__pb2
+
+
+class ManagerStub(object):
+  # missing associated documentation comment in .proto file
+  pass
+
+  def __init__(self, channel):
+    """Constructor.
+
+    Args:
+      channel: A grpc.Channel.
+    """
+    self.CreateStudy = channel.unary_unary(
+        '/api.Manager/CreateStudy',
+        request_serializer=api__pb2.CreateStudyRequest.SerializeToString,
+        response_deserializer=api__pb2.CreateStudyReply.FromString,
+        )
+    self.StopStudy = channel.unary_unary(
+        '/api.Manager/StopStudy',
+        request_serializer=api__pb2.StopStudyRequest.SerializeToString,
+        response_deserializer=api__pb2.StopStudyReply.FromString,
+        )
+    self.GetStudies = channel.unary_unary(
+        '/api.Manager/GetStudies',
+        request_serializer=api__pb2.GetStudiesRequest.SerializeToString,
+        response_deserializer=api__pb2.GetStudiesReply.FromString,
+        )
+    self.SuggestTrials = channel.unary_unary(
+        '/api.Manager/SuggestTrials',
+        request_serializer=api__pb2.SuggestTrialsRequest.SerializeToString,
+        response_deserializer=api__pb2.SuggestTrialsReply.FromString,
+        )
+    self.CompleteTrial = channel.unary_unary(
+        '/api.Manager/CompleteTrial',
+        request_serializer=api__pb2.CompleteTrialRequest.SerializeToString,
+        response_deserializer=api__pb2.CompleteTrialReply.FromString,
+        )
+    self.ShouldTrialStop = channel.unary_unary(
+        '/api.Manager/ShouldTrialStop',
+        request_serializer=api__pb2.ShouldTrialStopRequest.SerializeToString,
+        response_deserializer=api__pb2.ShouldTrialStopReply.FromString,
+        )
+    self.GetObjectValue = channel.unary_unary(
+        '/api.Manager/GetObjectValue',
+        request_serializer=api__pb2.GetObjectValueRequest.SerializeToString,
+        response_deserializer=api__pb2.GetObjectValueReply.FromString,
+        )
+    self.AddMeasurementToTrials = channel.unary_unary(
+        '/api.Manager/AddMeasurementToTrials',
+        request_serializer=api__pb2.AddMeasurementToTrialsRequest.SerializeToString,
+        response_deserializer=api__pb2.AddMeasurementToTrialsReply.FromString,
+        )
+    self.InitializeSuggestService = channel.unary_unary(
+        '/api.Manager/InitializeSuggestService',
+        request_serializer=api__pb2.InitializeSuggestServiceRequest.SerializeToString,
+        response_deserializer=api__pb2.InitializeSuggestServiceReply.FromString,
+        )
+
+
+class ManagerServicer(object):
+  # missing associated documentation comment in .proto file
+  pass
+
+  def CreateStudy(self, request, context):
+    # missing associated documentation comment in .proto file
+    pass
+    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+    context.set_details('Method not implemented!')
+    raise NotImplementedError('Method not implemented!')
+
+  def StopStudy(self, request, context):
+    # missing associated documentation comment in .proto file
+    pass
+    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+    context.set_details('Method not implemented!')
+    raise NotImplementedError('Method not implemented!')
+
+  def GetStudies(self, request, context):
+    # missing associated documentation comment in .proto file
+    pass
+    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+    context.set_details('Method not implemented!')
+    raise NotImplementedError('Method not implemented!')
+
+  def SuggestTrials(self, request, context):
+    # missing associated documentation comment in .proto file
+    pass
+    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+    context.set_details('Method not implemented!')
+    raise NotImplementedError('Method not implemented!')
+
+  def CompleteTrial(self, request, context):
+    # missing associated documentation comment in .proto file
+    pass
+    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+    context.set_details('Method not implemented!')
+    raise NotImplementedError('Method not implemented!')
+
+  def ShouldTrialStop(self, request, context):
+    # missing associated documentation comment in .proto file
+    pass
+    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+    context.set_details('Method not implemented!')
+    raise NotImplementedError('Method not implemented!')
+
+  def GetObjectValue(self, request, context):
+    # missing associated documentation comment in .proto file
+    pass
+    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+    context.set_details('Method not implemented!')
+    raise NotImplementedError('Method not implemented!')
+
+  def AddMeasurementToTrials(self, request, context):
+    # missing associated documentation comment in .proto file
+    pass
+    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+    context.set_details('Method not implemented!')
+    raise NotImplementedError('Method not implemented!')
+
+  def InitializeSuggestService(self, request, context):
+    # missing associated documentation comment in .proto file
+    pass
+    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+    context.set_details('Method not implemented!')
+    raise NotImplementedError('Method not implemented!')
+
+
+def add_ManagerServicer_to_server(servicer, server):
+  rpc_method_handlers = {
+      'CreateStudy': grpc.unary_unary_rpc_method_handler(
+          servicer.CreateStudy,
+          request_deserializer=api__pb2.CreateStudyRequest.FromString,
+          response_serializer=api__pb2.CreateStudyReply.SerializeToString,
+      ),
+      'StopStudy': grpc.unary_unary_rpc_method_handler(
+          servicer.StopStudy,
+          request_deserializer=api__pb2.StopStudyRequest.FromString,
+          response_serializer=api__pb2.StopStudyReply.SerializeToString,
+      ),
+      'GetStudies': grpc.unary_unary_rpc_method_handler(
+          servicer.GetStudies,
+          request_deserializer=api__pb2.GetStudiesRequest.FromString,
+          response_serializer=api__pb2.GetStudiesReply.SerializeToString,
+      ),
+      'SuggestTrials': grpc.unary_unary_rpc_method_handler(
+          servicer.SuggestTrials,
+          request_deserializer=api__pb2.SuggestTrialsRequest.FromString,
+          response_serializer=api__pb2.SuggestTrialsReply.SerializeToString,
+      ),
+      'CompleteTrial': grpc.unary_unary_rpc_method_handler(
+          servicer.CompleteTrial,
+          request_deserializer=api__pb2.CompleteTrialRequest.FromString,
+          response_serializer=api__pb2.CompleteTrialReply.SerializeToString,
+      ),
+      'ShouldTrialStop': grpc.unary_unary_rpc_method_handler(
+          servicer.ShouldTrialStop,
+          request_deserializer=api__pb2.ShouldTrialStopRequest.FromString,
+          response_serializer=api__pb2.ShouldTrialStopReply.SerializeToString,
+      ),
+      'GetObjectValue': grpc.unary_unary_rpc_method_handler(
+          servicer.GetObjectValue,
+          request_deserializer=api__pb2.GetObjectValueRequest.FromString,
+          response_serializer=api__pb2.GetObjectValueReply.SerializeToString,
+      ),
+      'AddMeasurementToTrials': grpc.unary_unary_rpc_method_handler(
+          servicer.AddMeasurementToTrials,
+          request_deserializer=api__pb2.AddMeasurementToTrialsRequest.FromString,
+          response_serializer=api__pb2.AddMeasurementToTrialsReply.SerializeToString,
+      ),
+      'InitializeSuggestService': grpc.unary_unary_rpc_method_handler(
+          servicer.InitializeSuggestService,
+          request_deserializer=api__pb2.InitializeSuggestServiceRequest.FromString,
+          response_serializer=api__pb2.InitializeSuggestServiceReply.SerializeToString,
+      ),
+  }
+  generic_handler = grpc.method_handlers_generic_handler(
+      'api.Manager', rpc_method_handlers)
+  server.add_generic_rpc_handlers((generic_handler,))
+
+
+class SuggestionStub(object):
+  # missing associated documentation comment in .proto file
+  pass
+
+  def __init__(self, channel):
+    """Constructor.
+
+    Args:
+      channel: A grpc.Channel.
+    """
+    self.GenerateTrials = channel.unary_unary(
+        '/api.Suggestion/GenerateTrials',
+        request_serializer=api__pb2.GenerateTrialsRequest.SerializeToString,
+        response_deserializer=api__pb2.GenerateTrialsReply.FromString,
+        )
+    self.SetSuggestionParameters = channel.unary_unary(
+        '/api.Suggestion/SetSuggestionParameters',
+        request_serializer=api__pb2.SetSuggestionParametersRequest.SerializeToString,
+        response_deserializer=api__pb2.SetSuggestionParametersReply.FromString,
+        )
+    self.StopSuggestion = channel.unary_unary(
+        '/api.Suggestion/StopSuggestion',
+        request_serializer=api__pb2.StopSuggestionRequest.SerializeToString,
+        response_deserializer=api__pb2.StopSuggestionReply.FromString,
+        )
+
+
+class SuggestionServicer(object):
+  # missing associated documentation comment in .proto file
+  pass
+
+  def GenerateTrials(self, request, context):
+    # missing associated documentation comment in .proto file
+    pass
+    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+    context.set_details('Method not implemented!')
+    raise NotImplementedError('Method not implemented!')
+
+  def SetSuggestionParameters(self, request, context):
+    # missing associated documentation comment in .proto file
+    pass
+    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+    context.set_details('Method not implemented!')
+    raise NotImplementedError('Method not implemented!')
+
+  def StopSuggestion(self, request, context):
+    # missing associated documentation comment in .proto file
+    pass
+    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+    context.set_details('Method not implemented!')
+    raise NotImplementedError('Method not implemented!')
+
+
+def add_SuggestionServicer_to_server(servicer, server):
+  rpc_method_handlers = {
+      'GenerateTrials': grpc.unary_unary_rpc_method_handler(
+          servicer.GenerateTrials,
+          request_deserializer=api__pb2.GenerateTrialsRequest.FromString,
+          response_serializer=api__pb2.GenerateTrialsReply.SerializeToString,
+      ),
+      'SetSuggestionParameters': grpc.unary_unary_rpc_method_handler(
+          servicer.SetSuggestionParameters,
+          request_deserializer=api__pb2.SetSuggestionParametersRequest.FromString,
+          response_serializer=api__pb2.SetSuggestionParametersReply.SerializeToString,
+      ),
+      'StopSuggestion': grpc.unary_unary_rpc_method_handler(
+          servicer.StopSuggestion,
+          request_deserializer=api__pb2.StopSuggestionRequest.FromString,
+          response_serializer=api__pb2.StopSuggestionReply.SerializeToString,
+      ),
+  }
+  generic_handler = grpc.method_handlers_generic_handler(
+      'api.Suggestion', rpc_method_handlers)
+  server.add_generic_rpc_handlers((generic_handler,))
+
+
+class AutoStoppingStub(object):
+  # missing associated documentation comment in .proto file
+  pass
+
+  def __init__(self, channel):
+    """Constructor.
+
+    Args:
+      channel: A grpc.Channel.
+    """
+
+
+class AutoStoppingServicer(object):
+  # missing associated documentation comment in .proto file
+  pass
+
+
+def add_AutoStoppingServicer_to_server(servicer, server):
+  rpc_method_handlers = {
+  }
+  generic_handler = grpc.method_handlers_generic_handler(
+      'api.AutoStopping', rpc_method_handlers)
+  server.add_generic_rpc_handlers((generic_handler,))

manifests/vizier/suggestion/bayesianoptimization/deployment.yaml

@@ -0,0 +1,23 @@
+apiVersion: extensions/v1beta1
+kind: Deployment
+metadata:
+  name: vizier-suggestion-bayesianoptimization
+  namespace: katib
+  labels:
+    app: vizier
+    component: suggestion-bayesianoptimization
+spec:
+  replicas: 1
+  template:
+    metadata:
+      name: vizier-suggestion-bayesianoptimization
+      labels:
+        app: vizier
+        component: suggestion-bayesianoptimization
+    spec:
+      containers:
+      - name: vizier-suggestion-bayesianoptimization
+        image: katib/suggestion-bayesianoptimization
+        ports:
+        - name: api
+          containerPort: 6789

manifests/vizier/suggestion/bayesianoptimization/service.yaml

@@ -0,0 +1,17 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: vizier-suggestion-bayesianoptimization
+  namespace: katib
+  labels:
+    app: vizier
+    component: suggestion-bayesianoptimization
+spec:
+  type: ClusterIP
+  ports:
+    - port: 6789
+      protocol: TCP
+      name: api
+  selector:
+    app: vizier
+    component: suggestion-bayesianoptimization