/
model.pb.go
241 lines (215 loc) · 9.4 KB
/
model.pb.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.31.0
// protoc (unknown)
// source: tensorflow_serving/apis/model.proto
package apis
import (
protoreflect "google.golang.org/protobuf/reflect/protoreflect"
protoimpl "google.golang.org/protobuf/runtime/protoimpl"
wrapperspb "google.golang.org/protobuf/types/known/wrapperspb"
reflect "reflect"
sync "sync"
)
const (
// Verify that this generated code is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
// Verify that runtime/protoimpl is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)
// Metadata for an inference request such as the model name and version.
type ModelSpec struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required servable name.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Optional choice of which version of the model to use.
//
// Recommended to be left unset in the common case. Should be specified only
// when there is a strong version consistency requirement.
//
// When left unspecified, the system will serve the best available version.
// This is typically the latest version, though during version transitions,
// notably when serving on a fleet of instances, may be either the previous or
// new version.
//
// Types that are assignable to VersionChoice:
//
// *ModelSpec_Version
// *ModelSpec_VersionLabel
VersionChoice isModelSpec_VersionChoice `protobuf_oneof:"version_choice"`
// A named signature to evaluate. If unspecified, the default signature will
// be used.
SignatureName string `protobuf:"bytes,3,opt,name=signature_name,json=signatureName,proto3" json:"signature_name,omitempty"`
}
func (x *ModelSpec) Reset() {
*x = ModelSpec{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_serving_apis_model_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ModelSpec) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ModelSpec) ProtoMessage() {}
func (x *ModelSpec) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_serving_apis_model_proto_msgTypes[0]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ModelSpec.ProtoReflect.Descriptor instead.
func (*ModelSpec) Descriptor() ([]byte, []int) {
return file_tensorflow_serving_apis_model_proto_rawDescGZIP(), []int{0}
}
func (x *ModelSpec) GetName() string {
if x != nil {
return x.Name
}
return ""
}
func (m *ModelSpec) GetVersionChoice() isModelSpec_VersionChoice {
if m != nil {
return m.VersionChoice
}
return nil
}
func (x *ModelSpec) GetVersion() *wrapperspb.Int64Value {
if x, ok := x.GetVersionChoice().(*ModelSpec_Version); ok {
return x.Version
}
return nil
}
func (x *ModelSpec) GetVersionLabel() string {
if x, ok := x.GetVersionChoice().(*ModelSpec_VersionLabel); ok {
return x.VersionLabel
}
return ""
}
func (x *ModelSpec) GetSignatureName() string {
if x != nil {
return x.SignatureName
}
return ""
}
type isModelSpec_VersionChoice interface {
isModelSpec_VersionChoice()
}
type ModelSpec_Version struct {
// Use this specific version number.
Version *wrapperspb.Int64Value `protobuf:"bytes,2,opt,name=version,proto3,oneof"`
}
type ModelSpec_VersionLabel struct {
// Use the version associated with the given label.
VersionLabel string `protobuf:"bytes,4,opt,name=version_label,json=versionLabel,proto3,oneof"`
}
func (*ModelSpec_Version) isModelSpec_VersionChoice() {}
func (*ModelSpec_VersionLabel) isModelSpec_VersionChoice() {}
var File_tensorflow_serving_apis_model_proto protoreflect.FileDescriptor
var file_tensorflow_serving_apis_model_proto_rawDesc = []byte{
0x0a, 0x23, 0x74, 0x65, 0x6e, 0x73, 0x6f, 0x72, 0x66, 0x6c, 0x6f, 0x77, 0x5f, 0x73, 0x65, 0x72,
0x76, 0x69, 0x6e, 0x67, 0x2f, 0x61, 0x70, 0x69, 0x73, 0x2f, 0x6d, 0x6f, 0x64, 0x65, 0x6c, 0x2e,
0x70, 0x72, 0x6f, 0x74, 0x6f, 0x12, 0x12, 0x74, 0x65, 0x6e, 0x73, 0x6f, 0x72, 0x66, 0x6c, 0x6f,
0x77, 0x2e, 0x73, 0x65, 0x72, 0x76, 0x69, 0x6e, 0x67, 0x1a, 0x1e, 0x67, 0x6f, 0x6f, 0x67, 0x6c,
0x65, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 0x2f, 0x77, 0x72, 0x61, 0x70, 0x70,
0x65, 0x72, 0x73, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x22, 0xb8, 0x01, 0x0a, 0x09, 0x4d, 0x6f,
0x64, 0x65, 0x6c, 0x53, 0x70, 0x65, 0x63, 0x12, 0x12, 0x0a, 0x04, 0x6e, 0x61, 0x6d, 0x65, 0x18,
0x01, 0x20, 0x01, 0x28, 0x09, 0x52, 0x04, 0x6e, 0x61, 0x6d, 0x65, 0x12, 0x37, 0x0a, 0x07, 0x76,
0x65, 0x72, 0x73, 0x69, 0x6f, 0x6e, 0x18, 0x02, 0x20, 0x01, 0x28, 0x0b, 0x32, 0x1b, 0x2e, 0x67,
0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 0x2e, 0x49,
0x6e, 0x74, 0x36, 0x34, 0x56, 0x61, 0x6c, 0x75, 0x65, 0x48, 0x00, 0x52, 0x07, 0x76, 0x65, 0x72,
0x73, 0x69, 0x6f, 0x6e, 0x12, 0x25, 0x0a, 0x0d, 0x76, 0x65, 0x72, 0x73, 0x69, 0x6f, 0x6e, 0x5f,
0x6c, 0x61, 0x62, 0x65, 0x6c, 0x18, 0x04, 0x20, 0x01, 0x28, 0x09, 0x48, 0x00, 0x52, 0x0c, 0x76,
0x65, 0x72, 0x73, 0x69, 0x6f, 0x6e, 0x4c, 0x61, 0x62, 0x65, 0x6c, 0x12, 0x25, 0x0a, 0x0e, 0x73,
0x69, 0x67, 0x6e, 0x61, 0x74, 0x75, 0x72, 0x65, 0x5f, 0x6e, 0x61, 0x6d, 0x65, 0x18, 0x03, 0x20,
0x01, 0x28, 0x09, 0x52, 0x0d, 0x73, 0x69, 0x67, 0x6e, 0x61, 0x74, 0x75, 0x72, 0x65, 0x4e, 0x61,
0x6d, 0x65, 0x42, 0x10, 0x0a, 0x0e, 0x76, 0x65, 0x72, 0x73, 0x69, 0x6f, 0x6e, 0x5f, 0x63, 0x68,
0x6f, 0x69, 0x63, 0x65, 0x42, 0xd3, 0x01, 0x0a, 0x16, 0x63, 0x6f, 0x6d, 0x2e, 0x74, 0x65, 0x6e,
0x73, 0x6f, 0x72, 0x66, 0x6c, 0x6f, 0x77, 0x2e, 0x73, 0x65, 0x72, 0x76, 0x69, 0x6e, 0x67, 0x42,
0x0a, 0x4d, 0x6f, 0x64, 0x65, 0x6c, 0x50, 0x72, 0x6f, 0x74, 0x6f, 0x50, 0x01, 0x5a, 0x41, 0x67,
0x69, 0x74, 0x68, 0x75, 0x62, 0x2e, 0x63, 0x6f, 0x6d, 0x2f, 0x61, 0x69, 0x72, 0x65, 0x6e, 0x61,
0x73, 0x2f, 0x67, 0x6f, 0x2d, 0x74, 0x66, 0x2d, 0x73, 0x65, 0x72, 0x76, 0x69, 0x6e, 0x67, 0x2d,
0x70, 0x72, 0x6f, 0x74, 0x6f, 0x67, 0x65, 0x6e, 0x2f, 0x74, 0x65, 0x6e, 0x73, 0x6f, 0x72, 0x66,
0x6c, 0x6f, 0x77, 0x5f, 0x73, 0x65, 0x72, 0x76, 0x69, 0x6e, 0x67, 0x2f, 0x61, 0x70, 0x69, 0x73,
0xf8, 0x01, 0x01, 0xa2, 0x02, 0x03, 0x54, 0x53, 0x58, 0xaa, 0x02, 0x12, 0x54, 0x65, 0x6e, 0x73,
0x6f, 0x72, 0x66, 0x6c, 0x6f, 0x77, 0x2e, 0x53, 0x65, 0x72, 0x76, 0x69, 0x6e, 0x67, 0xca, 0x02,
0x12, 0x54, 0x65, 0x6e, 0x73, 0x6f, 0x72, 0x66, 0x6c, 0x6f, 0x77, 0x5c, 0x53, 0x65, 0x72, 0x76,
0x69, 0x6e, 0x67, 0xe2, 0x02, 0x1e, 0x54, 0x65, 0x6e, 0x73, 0x6f, 0x72, 0x66, 0x6c, 0x6f, 0x77,
0x5c, 0x53, 0x65, 0x72, 0x76, 0x69, 0x6e, 0x67, 0x5c, 0x47, 0x50, 0x42, 0x4d, 0x65, 0x74, 0x61,
0x64, 0x61, 0x74, 0x61, 0xea, 0x02, 0x13, 0x54, 0x65, 0x6e, 0x73, 0x6f, 0x72, 0x66, 0x6c, 0x6f,
0x77, 0x3a, 0x3a, 0x53, 0x65, 0x72, 0x76, 0x69, 0x6e, 0x67, 0x62, 0x06, 0x70, 0x72, 0x6f, 0x74,
0x6f, 0x33,
}
var (
file_tensorflow_serving_apis_model_proto_rawDescOnce sync.Once
file_tensorflow_serving_apis_model_proto_rawDescData = file_tensorflow_serving_apis_model_proto_rawDesc
)
func file_tensorflow_serving_apis_model_proto_rawDescGZIP() []byte {
file_tensorflow_serving_apis_model_proto_rawDescOnce.Do(func() {
file_tensorflow_serving_apis_model_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_serving_apis_model_proto_rawDescData)
})
return file_tensorflow_serving_apis_model_proto_rawDescData
}
var file_tensorflow_serving_apis_model_proto_msgTypes = make([]protoimpl.MessageInfo, 1)
var file_tensorflow_serving_apis_model_proto_goTypes = []interface{}{
(*ModelSpec)(nil), // 0: tensorflow.serving.ModelSpec
(*wrapperspb.Int64Value)(nil), // 1: google.protobuf.Int64Value
}
var file_tensorflow_serving_apis_model_proto_depIdxs = []int32{
1, // 0: tensorflow.serving.ModelSpec.version:type_name -> google.protobuf.Int64Value
1, // [1:1] is the sub-list for method output_type
1, // [1:1] is the sub-list for method input_type
1, // [1:1] is the sub-list for extension type_name
1, // [1:1] is the sub-list for extension extendee
0, // [0:1] is the sub-list for field type_name
}
func init() { file_tensorflow_serving_apis_model_proto_init() }
func file_tensorflow_serving_apis_model_proto_init() {
if File_tensorflow_serving_apis_model_proto != nil {
return
}
if !protoimpl.UnsafeEnabled {
file_tensorflow_serving_apis_model_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ModelSpec); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
}
file_tensorflow_serving_apis_model_proto_msgTypes[0].OneofWrappers = []interface{}{
(*ModelSpec_Version)(nil),
(*ModelSpec_VersionLabel)(nil),
}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_tensorflow_serving_apis_model_proto_rawDesc,
NumEnums: 0,
NumMessages: 1,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_tensorflow_serving_apis_model_proto_goTypes,
DependencyIndexes: file_tensorflow_serving_apis_model_proto_depIdxs,
MessageInfos: file_tensorflow_serving_apis_model_proto_msgTypes,
}.Build()
File_tensorflow_serving_apis_model_proto = out.File
file_tensorflow_serving_apis_model_proto_rawDesc = nil
file_tensorflow_serving_apis_model_proto_goTypes = nil
file_tensorflow_serving_apis_model_proto_depIdxs = nil
}