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 интервал | 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 интервал | 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;
публичный 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()
.
публичный абстрактный int getFunctionAliasesCount ()
FunctionDef name to aliases mapping.
map<string, string> function_aliases = 8;
общедоступная абстрактная карта Map<String, String> getFunctionAliasesMap ()
FunctionDef name to aliases mapping.
map<string, string> function_aliases = 8;
общедоступная абстрактная строка getFunctionAliasesOrDefault (ключ String, String defaultValue)
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;
общедоступный 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;