GraphDefOrBuilder

общедоступный интерфейс GraphDefOrBuilder
Известные косвенные подклассы

Публичные методы

абстрактная FunctionDefLibrary
абстрактный FunctionDefLibraryOrBuilder
getLibraryOrBuilder ()
 EXPERIMENTAL.
абстрактный NodeDef
getNode (целочисленный индекс)
repeated .tensorflow.NodeDef node = 1;
абстрактный интервал
получитьNodeCount ()
repeated .tensorflow.NodeDef node = 1;
абстрактный список < NodeDef >
получитьСписокНодов ()
repeated .tensorflow.NodeDef node = 1;
абстрактный NodeDefOrBuilder
getNodeOrBuilder (индекс целого числа)
repeated .tensorflow.NodeDef node = 1;
абстрактный список<? расширяет NodeDefOrBuilder >
getNodeOrBuilderList ()
repeated .tensorflow.NodeDef node = 1;
абстрактный интервал
получить версию ()
 Deprecated single version field; use versions above instead.
абстрактное определение версии
получить версии ()
 Compatibility versions of the graph.
абстрактный VersionDefOrBuilder
getVersionsOrBuilder ()
 Compatibility versions of the graph.
абстрактное логическое значение
абстрактное логическое значение
имеет версии ()
 Compatibility versions of the graph.

Публичные методы

общедоступная абстрактная FunctionDefLibrary getLibrary ()

 EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
 "library" provides user-defined functions.
 Naming:
   * library.function.name are in a flat namespace.
     NOTE: We may need to change it to be hierarchical to support
     different orgs. E.g.,
     { "/google/nn", { ... } },
     { "/google/vision", { ... } }
     { "/org_foo/module_bar", { ... } }
     map<string, FunctionDefLib> named_lib;
   * If node[i].op is the name of one function in "library",
     node[i] is deemed as a function call. Otherwise, node[i].op
     must be a primitive operation supported by the runtime.
 Function call semantics:
   * The callee may start execution as soon as some of its inputs
     are ready. The caller may want to use Tuple() mechanism to
     ensure all inputs are ready in the same time.
   * The consumer of return values may start executing as soon as
     the return values the consumer depends on are ready.  The
     consumer may want to use Tuple() mechanism to ensure the
     consumer does not start until all return values of the callee
     function are ready.
 
.tensorflow.FunctionDefLibrary library = 2;

общедоступная абстрактная FunctionDefLibraryOrBuilder getLibraryOrBuilder ()

 EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
 "library" provides user-defined functions.
 Naming:
   * library.function.name are in a flat namespace.
     NOTE: We may need to change it to be hierarchical to support
     different orgs. E.g.,
     { "/google/nn", { ... } },
     { "/google/vision", { ... } }
     { "/org_foo/module_bar", { ... } }
     map<string, FunctionDefLib> named_lib;
   * If node[i].op is the name of one function in "library",
     node[i] is deemed as a function call. Otherwise, node[i].op
     must be a primitive operation supported by the runtime.
 Function call semantics:
   * The callee may start execution as soon as some of its inputs
     are ready. The caller may want to use Tuple() mechanism to
     ensure all inputs are ready in the same time.
   * The consumer of return values may start executing as soon as
     the return values the consumer depends on are ready.  The
     consumer may want to use Tuple() mechanism to ensure the
     consumer does not start until all return values of the callee
     function are ready.
 
.tensorflow.FunctionDefLibrary library = 2;

общедоступный абстрактный NodeDef getNode (индекс int)

repeated .tensorflow.NodeDef node = 1;

публичный абстрактный int getNodeCount ()

repeated .tensorflow.NodeDef node = 1;

общедоступный абстрактный список < NodeDef > getNodeList ()

repeated .tensorflow.NodeDef node = 1;

общедоступный абстрактный NodeDefOrBuilder getNodeOrBuilder (индекс int)

repeated .tensorflow.NodeDef node = 1;

публичный абстрактный список<? расширяет NodeDefOrBuilder > getNodeOrBuilderList ()

repeated .tensorflow.NodeDef node = 1;

публичный абстрактный int getVersion ()

 Deprecated single version field; use versions above instead.  Since all
 GraphDef changes before "versions" was introduced were forward
 compatible, this field is entirely ignored.
 
int32 version = 3 [deprecated = true];

общедоступная абстрактная версия VersionDef getVersions ()

 Compatibility versions of the graph.  See core/public/version.h for version
 history.  The GraphDef version is distinct from the TensorFlow version, and
 each release of TensorFlow will support a range of GraphDef versions.
 
.tensorflow.VersionDef versions = 4;

публичный абстрактный VersionDefOrBuilder getVersionsOrBuilder ()

 Compatibility versions of the graph.  See core/public/version.h for version
 history.  The GraphDef version is distinct from the TensorFlow version, and
 each release of TensorFlow will support a range of GraphDef versions.
 
.tensorflow.VersionDef versions = 4;

общедоступное абстрактное логическое значение hasLibrary ()

 EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
 "library" provides user-defined functions.
 Naming:
   * library.function.name are in a flat namespace.
     NOTE: We may need to change it to be hierarchical to support
     different orgs. E.g.,
     { "/google/nn", { ... } },
     { "/google/vision", { ... } }
     { "/org_foo/module_bar", { ... } }
     map<string, FunctionDefLib> named_lib;
   * If node[i].op is the name of one function in "library",
     node[i] is deemed as a function call. Otherwise, node[i].op
     must be a primitive operation supported by the runtime.
 Function call semantics:
   * The callee may start execution as soon as some of its inputs
     are ready. The caller may want to use Tuple() mechanism to
     ensure all inputs are ready in the same time.
   * The consumer of return values may start executing as soon as
     the return values the consumer depends on are ready.  The
     consumer may want to use Tuple() mechanism to ensure the
     consumer does not start until all return values of the callee
     function are ready.
 
.tensorflow.FunctionDefLibrary library = 2;

общедоступное абстрактное логическое значение hasVersions ()

 Compatibility versions of the graph.  See core/public/version.h for version
 history.  The GraphDef version is distinct from the TensorFlow version, and
 each release of TensorFlow will support a range of GraphDef versions.
 
.tensorflow.VersionDef versions = 4;