GraphDefOrBuilder

interface publique GraphDefOrBuilder
Sous-classes indirectes connues

Méthodes publiques

résumé FunctionDefLibrary
getBibliothèque ()
 EXPERIMENTAL.
abstrait FunctionDefLibraryOrBuilder
getLibraryOrBuilder ()
 EXPERIMENTAL.
résumé NodeDef
getNode (index entier)
repeated .tensorflow.NodeDef node = 1;
abstrait entier
getNodeCount ()
repeated .tensorflow.NodeDef node = 1;
Liste abstraite< NodeDef >
getNodeList ()
repeated .tensorflow.NodeDef node = 1;
abstrait NodeDefOrBuilder
getNodeOrBuilder (index int)
repeated .tensorflow.NodeDef node = 1;
Liste abstraite <? étend NodeDefOrBuilder >
getNodeOrBuilderList ()
repeated .tensorflow.NodeDef node = 1;
abstrait entier
obtenirVersion ()
 Deprecated single version field; use versions above instead.
résumé VersionDef
obtenirVersions ()
 Compatibility versions of the graph.
résumé VersionDefOrBuilder
getVersionsOrBuilder ()
 Compatibility versions of the graph.
booléen abstrait
aBibliothèque ()
 EXPERIMENTAL.
booléen abstrait
aVersions ()
 Compatibility versions of the graph.

Méthodes publiques

résumé public FunctionDefLibrary getLibrary ()

bibliothèque

 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;

public abstrait FunctionDefLibraryOrBuilder getLibraryOrBuilder ()

bibliothèque

 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;

résumé public NodeDef getNode (index int)

repeated .tensorflow.NodeDef node = 1;

public abstrait int getNodeCount ()

repeated .tensorflow.NodeDef node = 1;

Liste abstraite publique < NodeDef > getNodeList ()

repeated .tensorflow.NodeDef node = 1;

résumé public NodeDefOrBuilder getNodeOrBuilder (index int)

repeated .tensorflow.NodeDef node = 1;

Liste des résumés publics<? étend NodeDefOrBuilder > getNodeOrBuilderList ()

repeated .tensorflow.NodeDef node = 1;

public abstrait 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];

résumé public 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;

résumé public 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;

public abstrait booléen hasLibrary ()

bibliothèque

 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;

public abstrait booléen 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;