Viewing file:  model_pb2.py (4.21 KB) -rw-r--r--
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# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorflow_serving/apis/model.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 google.protobuf import wrappers_pb2 as google_dot_protobuf_dot_wrappers__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='tensorflow_serving/apis/model.proto',
package='tensorflow.serving',
syntax='proto3',
serialized_options=_b('\370\001\001'),
serialized_pb=_b('\n#tensorflow_serving/apis/model.proto\x12\x12tensorflow.serving\x1a\x1egoogle/protobuf/wrappers.proto\"\x8c\x01\n\tModelSpec\x12\x0c\n\x04name\x18\x01 \x01(\t\x12.\n\x07version\x18\x02 \x01(\x0b\x32\x1b.google.protobuf.Int64ValueH\x00\x12\x17\n\rversion_label\x18\x04 \x01(\tH\x00\x12\x16\n\x0esignature_name\x18\x03 \x01(\tB\x10\n\x0eversion_choiceB\x03\xf8\x01\x01\x62\x06proto3')
,
dependencies=[google_dot_protobuf_dot_wrappers__pb2.DESCRIPTOR,])
_MODELSPEC = _descriptor.Descriptor(
name='ModelSpec',
full_name='tensorflow.serving.ModelSpec',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='name', full_name='tensorflow.serving.ModelSpec.name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='version', full_name='tensorflow.serving.ModelSpec.version', 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),
_descriptor.FieldDescriptor(
name='version_label', full_name='tensorflow.serving.ModelSpec.version_label', index=2,
number=4, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='signature_name', full_name='tensorflow.serving.ModelSpec.signature_name', index=3,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
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=[
_descriptor.OneofDescriptor(
name='version_choice', full_name='tensorflow.serving.ModelSpec.version_choice',
index=0, containing_type=None, fields=[]),
],
serialized_start=92,
serialized_end=232,
)
_MODELSPEC.fields_by_name['version'].message_type = google_dot_protobuf_dot_wrappers__pb2._INT64VALUE
_MODELSPEC.oneofs_by_name['version_choice'].fields.append(
_MODELSPEC.fields_by_name['version'])
_MODELSPEC.fields_by_name['version'].containing_oneof = _MODELSPEC.oneofs_by_name['version_choice']
_MODELSPEC.oneofs_by_name['version_choice'].fields.append(
_MODELSPEC.fields_by_name['version_label'])
_MODELSPEC.fields_by_name['version_label'].containing_oneof = _MODELSPEC.oneofs_by_name['version_choice']
DESCRIPTOR.message_types_by_name['ModelSpec'] = _MODELSPEC
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
ModelSpec = _reflection.GeneratedProtocolMessageType('ModelSpec', (_message.Message,), dict(
DESCRIPTOR = _MODELSPEC,
__module__ = 'tensorflow_serving.apis.model_pb2'
# @@protoc_insertion_point(class_scope:tensorflow.serving.ModelSpec)
))
_sym_db.RegisterMessage(ModelSpec)
DESCRIPTOR._options = None
# @@protoc_insertion_point(module_scope)
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