MetaGraphDef.MetaInfoDefOrBuilder

общедоступный статический интерфейс MetaGraphDef.MetaInfoDefOrBuilder
Известные косвенные подклассы

Публичные методы

абстрактное логическое значение
содержитFunctionAliases (строковый ключ)
 FunctionDef name to aliases mapping.
абстрактный com.google.protobuf.Any
получитьЛюбаяИнформация ()
 A serialized protobuf.
абстрактный com.google.protobuf.AnyOrBuilder
getAnyInfoOrBuilder ()
 A serialized protobuf.
абстрактная карта<String, String>
getFunctionAliases ()
Вместо этого используйте getFunctionAliasesMap() .
абстрактный int
getFunctionAliasesCount ()
 FunctionDef name to aliases mapping.
абстрактная карта<String, String>
getFunctionAliasesMap ()
 FunctionDef name to aliases mapping.
абстрактная строка
getFunctionAliasesOrDefault (строковый ключ, строковое значение по умолчанию)
 FunctionDef name to aliases mapping.
абстрактная строка
getFunctionAliasesOrThrow (строковый ключ)
 FunctionDef name to aliases mapping.
абстрактная строка
получитьМетаГрафВерсион ()
 User specified Version string.
абстрактный com.google.protobuf.ByteString
getMetaGraphVersionBytes ()
 User specified Version string.
абстрактное логическое значение
getStrippedDefaultAttrs ()
 A flag to denote whether default-valued attrs have been stripped from
 the nodes in this graph_def.
абстрактный список опций
getStrippedOpList ()
 A copy of the OpDefs used by the producer of this graph_def.
абстрактный Оплисторбилдер
getStrippedOpListOrBuilder ()
 A copy of the OpDefs used by the producer of this graph_def.
абстрактная строка
getTags (целочисленный индекс)
 User supplied tag(s) on the meta_graph and included graph_def.
абстрактный com.google.protobuf.ByteString
getTagsBytes (целочисленный индекс)
 User supplied tag(s) on the meta_graph and included graph_def.
абстрактный int
getTagsCount ()
 User supplied tag(s) on the meta_graph and included graph_def.
абстрактный список<String>
получитьСписокТегов ()
 User supplied tag(s) on the meta_graph and included graph_def.
абстрактная строка
getTensorflowGitVersion ()
 The __git_version__ string of the tensorflow build used to write this
 graph.
абстрактный com.google.protobuf.ByteString
getTensorflowGitVersionBytes ()
 The __git_version__ string of the tensorflow build used to write this
 graph.
абстрактная строка
getTensorflowVersion ()
 The __version__ string of the tensorflow build used to write this graph.
абстрактный com.google.protobuf.ByteString
getTensorflowVersionBytes ()
 The __version__ string of the tensorflow build used to write this graph.
абстрактное логическое значение
имеетЛюбаяИнформация ()
 A serialized protobuf.
абстрактное логическое значение
имеетСтрипОпЛист ()
 A copy of the OpDefs used by the producer of this graph_def.

Публичные методы

общедоступное абстрактное логическое значение containsFunctionAliases (строковый ключ) 

 FunctionDef name to aliases mapping.
map<string, string> function_aliases = 8;

публичный абстрактный com.google.protobuf.Any getAnyInfo () 

 A serialized protobuf. Can be the time this meta graph is created, or
 modified, or name of the model.
.google.protobuf.Any any_info = 3;

общедоступный абстрактный com.google.protobuf.AnyOrBuilder getAnyInfoOrBuilder () 

 A serialized protobuf. Can be the time this meta graph is created, or
 modified, or name of the model.
.google.protobuf.Any any_info = 3;

публичная абстрактная Map<String, String> getFunctionAliases ()

Вместо этого используйте getFunctionAliasesMap() .

общедоступный абстрактный int getFunctionAliasesCount () 

 FunctionDef name to aliases mapping.
map<string, string> function_aliases = 8;

публичная абстрактная Map<String, String> getFunctionAliasesMap () 

 FunctionDef name to aliases mapping.
map<string, string> function_aliases = 8;

общедоступная абстрактная строка getFunctionAliasesOrDefault (строковый ключ, строковое значение по умолчанию) 

 FunctionDef name to aliases mapping.
map<string, string> function_aliases = 8;

общедоступная абстрактная строка getFunctionAliasesOrThrow (строковый ключ) 

 FunctionDef name to aliases mapping.
map<string, string> function_aliases = 8;

общедоступная абстрактная строка getMetaGraphVersion () 

 User specified Version string. Can be the name of the model and revision,
 steps this model has been trained to, etc.
string meta_graph_version = 1;

общедоступный абстрактный com.google.protobuf.ByteString getMetaGraphVersionBytes () 

 User specified Version string. Can be the name of the model and revision,
 steps this model has been trained to, etc.
string meta_graph_version = 1;

общедоступное абстрактное логическое значение getStrippedDefaultAttrs () 

 A flag to denote whether default-valued attrs have been stripped from
 the nodes in this graph_def.
bool stripped_default_attrs = 7;

публичный абстрактный OpList getStrippedOpList () 

 A copy of the OpDefs used by the producer of this graph_def.
 Descriptions and Ops not used in graph_def are stripped out.
.tensorflow.OpList stripped_op_list = 2;

общедоступный абстрактный OpListOrBuilder getStrippedOpListOrBuilder () 

 A copy of the OpDefs used by the producer of this graph_def.
 Descriptions and Ops not used in graph_def are stripped out.
.tensorflow.OpList stripped_op_list = 2;

общедоступная абстрактная строка getTags (индекс int) 

 User supplied tag(s) on the meta_graph and included graph_def.
 MetaGraphDefs should be tagged with their capabilities or use-cases.
 Examples: "train", "serve", "gpu", "tpu", etc.
 These tags enable loaders to access the MetaGraph(s) appropriate for a
 specific use-case or runtime environment.
repeated string tags = 4;

общедоступный абстрактный com.google.protobuf.ByteString getTagsBytes (индекс int) 

 User supplied tag(s) on the meta_graph and included graph_def.
 MetaGraphDefs should be tagged with their capabilities or use-cases.
 Examples: "train", "serve", "gpu", "tpu", etc.
 These tags enable loaders to access the MetaGraph(s) appropriate for a
 specific use-case or runtime environment.
repeated string tags = 4;

публичный абстрактный int getTagsCount () 

 User supplied tag(s) on the meta_graph and included graph_def.
 MetaGraphDefs should be tagged with their capabilities or use-cases.
 Examples: "train", "serve", "gpu", "tpu", etc.
 These tags enable loaders to access the MetaGraph(s) appropriate for a
 specific use-case or runtime environment.
repeated string tags = 4;

общедоступный абстрактный список <String> getTagsList () 

 User supplied tag(s) on the meta_graph and included graph_def.
 MetaGraphDefs should be tagged with their capabilities or use-cases.
 Examples: "train", "serve", "gpu", "tpu", etc.
 These tags enable loaders to access the MetaGraph(s) appropriate for a
 specific use-case or runtime environment.
repeated string tags = 4;

общедоступная абстрактная строка getTensorflowGitVersion () 

 The __git_version__ string of the tensorflow build used to write this
 graph. This will be populated by the framework, which will overwrite any
 user supplied value.
string tensorflow_git_version = 6;

общедоступный абстрактный com.google.protobuf.ByteString getTensorflowGitVersionBytes () 

 The __git_version__ string of the tensorflow build used to write this
 graph. This will be populated by the framework, which will overwrite any
 user supplied value.
string tensorflow_git_version = 6;

общедоступная абстрактная строка getTensorflowVersion () 

 The __version__ string of the tensorflow build used to write this graph.
 This will be populated by the framework, which will overwrite any user
 supplied value.
string tensorflow_version = 5;

публичный абстрактный com.google.protobuf.ByteString getTensorflowVersionBytes () 

 The __version__ string of the tensorflow build used to write this graph.
 This will be populated by the framework, which will overwrite any user
 supplied value.
string tensorflow_version = 5;

общедоступное абстрактное логическое значение hasAnyInfo () 

 A serialized protobuf. Can be the time this meta graph is created, or
 modified, or name of the model.
.google.protobuf.Any any_info = 3;

общедоступное абстрактное логическое значение hasStrippedOpList () 

 A copy of the OpDefs used by the producer of this graph_def.
 Descriptions and Ops not used in graph_def are stripped out.
.tensorflow.OpList stripped_op_list = 2;