Viewing file:  regression_pb2.py (7.68 KB) -rw-r--r--
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# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorflow_serving/apis/regression.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 input_pb2 as tensorflow__serving_dot_apis_dot_input__pb2
from tensorboard._vendor.tensorflow_serving.apis import model_pb2 as tensorflow__serving_dot_apis_dot_model__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='tensorflow_serving/apis/regression.proto',
package='tensorflow.serving',
syntax='proto3',
serialized_options=_b('\370\001\001'),
serialized_pb=_b('\n(tensorflow_serving/apis/regression.proto\x12\x12tensorflow.serving\x1a#tensorflow_serving/apis/input.proto\x1a#tensorflow_serving/apis/model.proto\"\x1b\n\nRegression\x12\r\n\x05value\x18\x01 \x01(\x02\"G\n\x10RegressionResult\x12\x33\n\x0bregressions\x18\x01 \x03(\x0b\x32\x1e.tensorflow.serving.Regression\"p\n\x11RegressionRequest\x12\x31\n\nmodel_spec\x18\x01 \x01(\x0b\x32\x1d.tensorflow.serving.ModelSpec\x12(\n\x05input\x18\x02 \x01(\x0b\x32\x19.tensorflow.serving.Input\"}\n\x12RegressionResponse\x12\x31\n\nmodel_spec\x18\x02 \x01(\x0b\x32\x1d.tensorflow.serving.ModelSpec\x12\x34\n\x06result\x18\x01 \x01(\x0b\x32$.tensorflow.serving.RegressionResultB\x03\xf8\x01\x01\x62\x06proto3')
,
dependencies=[tensorflow__serving_dot_apis_dot_input__pb2.DESCRIPTOR,tensorflow__serving_dot_apis_dot_model__pb2.DESCRIPTOR,])
_REGRESSION = _descriptor.Descriptor(
name='Regression',
full_name='tensorflow.serving.Regression',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='value', full_name='tensorflow.serving.Regression.value', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=float(0),
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=138,
serialized_end=165,
)
_REGRESSIONRESULT = _descriptor.Descriptor(
name='RegressionResult',
full_name='tensorflow.serving.RegressionResult',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='regressions', full_name='tensorflow.serving.RegressionResult.regressions', 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=167,
serialized_end=238,
)
_REGRESSIONREQUEST = _descriptor.Descriptor(
name='RegressionRequest',
full_name='tensorflow.serving.RegressionRequest',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='model_spec', full_name='tensorflow.serving.RegressionRequest.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='input', full_name='tensorflow.serving.RegressionRequest.input', 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=240,
serialized_end=352,
)
_REGRESSIONRESPONSE = _descriptor.Descriptor(
name='RegressionResponse',
full_name='tensorflow.serving.RegressionResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='model_spec', full_name='tensorflow.serving.RegressionResponse.model_spec', index=0,
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),
_descriptor.FieldDescriptor(
name='result', full_name='tensorflow.serving.RegressionResponse.result', index=1,
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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=354,
serialized_end=479,
)
_REGRESSIONRESULT.fields_by_name['regressions'].message_type = _REGRESSION
_REGRESSIONREQUEST.fields_by_name['model_spec'].message_type = tensorflow__serving_dot_apis_dot_model__pb2._MODELSPEC
_REGRESSIONREQUEST.fields_by_name['input'].message_type = tensorflow__serving_dot_apis_dot_input__pb2._INPUT
_REGRESSIONRESPONSE.fields_by_name['model_spec'].message_type = tensorflow__serving_dot_apis_dot_model__pb2._MODELSPEC
_REGRESSIONRESPONSE.fields_by_name['result'].message_type = _REGRESSIONRESULT
DESCRIPTOR.message_types_by_name['Regression'] = _REGRESSION
DESCRIPTOR.message_types_by_name['RegressionResult'] = _REGRESSIONRESULT
DESCRIPTOR.message_types_by_name['RegressionRequest'] = _REGRESSIONREQUEST
DESCRIPTOR.message_types_by_name['RegressionResponse'] = _REGRESSIONRESPONSE
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
Regression = _reflection.GeneratedProtocolMessageType('Regression', (_message.Message,), dict(
DESCRIPTOR = _REGRESSION,
__module__ = 'tensorflow_serving.apis.regression_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.serving.Regression)
))
_sym_db.RegisterMessage(Regression)
RegressionResult = _reflection.GeneratedProtocolMessageType('RegressionResult', (_message.Message,), dict(
DESCRIPTOR = _REGRESSIONRESULT,
__module__ = 'tensorflow_serving.apis.regression_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.serving.RegressionResult)
))
_sym_db.RegisterMessage(RegressionResult)
RegressionRequest = _reflection.GeneratedProtocolMessageType('RegressionRequest', (_message.Message,), dict(
DESCRIPTOR = _REGRESSIONREQUEST,
__module__ = 'tensorflow_serving.apis.regression_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.serving.RegressionRequest)
))
_sym_db.RegisterMessage(RegressionRequest)
RegressionResponse = _reflection.GeneratedProtocolMessageType('RegressionResponse', (_message.Message,), dict(
DESCRIPTOR = _REGRESSIONRESPONSE,
__module__ = 'tensorflow_serving.apis.regression_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.serving.RegressionResponse)
))
_sym_db.RegisterMessage(RegressionResponse)
DESCRIPTOR._options = None
# @@protoc_insertion_point(module_scope)
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