Viewing file:  session_service_pb2.py (7.59 KB) -rw-r--r--
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# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorflow_serving/apis/session_service.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from tensorboard._vendor.tensorflow_serving.apis import model_pb2 as tensorflow__serving_dot_apis_dot_model__pb2
from tensorflow.core.protobuf import config_pb2 as tensorflow_dot_core_dot_protobuf_dot_config__pb2
from tensorflow.core.protobuf import named_tensor_pb2 as tensorflow_dot_core_dot_protobuf_dot_named__tensor__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='tensorflow_serving/apis/session_service.proto',
package='tensorflow.serving',
syntax='proto3',
serialized_options=_b('\370\001\001'),
serialized_pb=_b('\n-tensorflow_serving/apis/session_service.proto\x12\x12tensorflow.serving\x1a#tensorflow_serving/apis/model.proto\x1a%tensorflow/core/protobuf/config.proto\x1a+tensorflow/core/protobuf/named_tensor.proto\"\xba\x01\n\x11SessionRunRequest\x12\x31\n\nmodel_spec\x18\x01 \x01(\x0b\x32\x1d.tensorflow.serving.ModelSpec\x12*\n\x04\x66\x65\x65\x64\x18\x02 \x03(\x0b\x32\x1c.tensorflow.NamedTensorProto\x12\r\n\x05\x66\x65tch\x18\x03 \x03(\t\x12\x0e\n\x06target\x18\x04 \x03(\t\x12\'\n\x07options\x18\x05 \x01(\x0b\x32\x16.tensorflow.RunOptions\"m\n\x12SessionRunResponse\x12,\n\x06tensor\x18\x01 \x03(\x0b\x32\x1c.tensorflow.NamedTensorProto\x12)\n\x08metadata\x18\x02 \x01(\x0b\x32\x17.tensorflow.RunMetadata2m\n\x0eSessionService\x12[\n\nSessionRun\x12%.tensorflow.serving.SessionRunRequest\x1a&.tensorflow.serving.SessionRunResponseB\x03\xf8\x01\x01\x62\x06proto3')
,
dependencies=[tensorflow__serving_dot_apis_dot_model__pb2.DESCRIPTOR,tensorflow_dot_core_dot_protobuf_dot_config__pb2.DESCRIPTOR,tensorflow_dot_core_dot_protobuf_dot_named__tensor__pb2.DESCRIPTOR,])
_SESSIONRUNREQUEST = _descriptor.Descriptor(
name='SessionRunRequest',
full_name='tensorflow.serving.SessionRunRequest',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='model_spec', full_name='tensorflow.serving.SessionRunRequest.model_spec', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='feed', full_name='tensorflow.serving.SessionRunRequest.feed', index=1,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='fetch', full_name='tensorflow.serving.SessionRunRequest.fetch', index=2,
number=3, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='target', full_name='tensorflow.serving.SessionRunRequest.target', index=3,
number=4, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='options', full_name='tensorflow.serving.SessionRunRequest.options', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=191,
serialized_end=377,
)
_SESSIONRUNRESPONSE = _descriptor.Descriptor(
name='SessionRunResponse',
full_name='tensorflow.serving.SessionRunResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='tensor', full_name='tensorflow.serving.SessionRunResponse.tensor', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='metadata', full_name='tensorflow.serving.SessionRunResponse.metadata', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=379,
serialized_end=488,
)
_SESSIONRUNREQUEST.fields_by_name['model_spec'].message_type = tensorflow__serving_dot_apis_dot_model__pb2._MODELSPEC
_SESSIONRUNREQUEST.fields_by_name['feed'].message_type = tensorflow_dot_core_dot_protobuf_dot_named__tensor__pb2._NAMEDTENSORPROTO
_SESSIONRUNREQUEST.fields_by_name['options'].message_type = tensorflow_dot_core_dot_protobuf_dot_config__pb2._RUNOPTIONS
_SESSIONRUNRESPONSE.fields_by_name['tensor'].message_type = tensorflow_dot_core_dot_protobuf_dot_named__tensor__pb2._NAMEDTENSORPROTO
_SESSIONRUNRESPONSE.fields_by_name['metadata'].message_type = tensorflow_dot_core_dot_protobuf_dot_config__pb2._RUNMETADATA
DESCRIPTOR.message_types_by_name['SessionRunRequest'] = _SESSIONRUNREQUEST
DESCRIPTOR.message_types_by_name['SessionRunResponse'] = _SESSIONRUNRESPONSE
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
SessionRunRequest = _reflection.GeneratedProtocolMessageType('SessionRunRequest', (_message.Message,), dict(
DESCRIPTOR = _SESSIONRUNREQUEST,
__module__ = 'tensorflow_serving.apis.session_service_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.serving.SessionRunRequest)
))
_sym_db.RegisterMessage(SessionRunRequest)
SessionRunResponse = _reflection.GeneratedProtocolMessageType('SessionRunResponse', (_message.Message,), dict(
DESCRIPTOR = _SESSIONRUNRESPONSE,
__module__ = 'tensorflow_serving.apis.session_service_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.serving.SessionRunResponse)
))
_sym_db.RegisterMessage(SessionRunResponse)
DESCRIPTOR._options = None
_SESSIONSERVICE = _descriptor.ServiceDescriptor(
name='SessionService',
full_name='tensorflow.serving.SessionService',
file=DESCRIPTOR,
index=0,
serialized_options=None,
serialized_start=490,
serialized_end=599,
methods=[
_descriptor.MethodDescriptor(
name='SessionRun',
full_name='tensorflow.serving.SessionService.SessionRun',
index=0,
containing_service=None,
input_type=_SESSIONRUNREQUEST,
output_type=_SESSIONRUNRESPONSE,
serialized_options=None,
),
])
_sym_db.RegisterServiceDescriptor(_SESSIONSERVICE)
DESCRIPTOR.services_by_name['SessionService'] = _SESSIONSERVICE
# @@protoc_insertion_point(module_scope)
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