GraphDefOrBuilder

interfaz pública GraphDefOrBuilder
Subclases indirectas conocidas

Métodos públicos

Función abstractaDefLibrary
obtenerBiblioteca ()
 EXPERIMENTAL.
Función abstractaDefLibraryOrBuilder
getLibraryOrBuilder ()
 EXPERIMENTAL.
resumen NodeDef
getNode (índice int)
repeated .tensorflow.NodeDef node = 1;
resumen entero
getNodeCount ()
repeated .tensorflow.NodeDef node = 1;
Lista abstracta <NodeDef>
obtener lista de nodos ()
repeated .tensorflow.NodeDef node = 1;
NodeDefOrBuilder abstracto
getNodeOrBuilder (índice int)
repeated .tensorflow.NodeDef node = 1;
Lista abstracta<? extiende NodeDefOrBuilder >
getNodeOrBuilderList ()
repeated .tensorflow.NodeDef node = 1;
resumen entero
obtener versión ()
 Deprecated single version field; use versions above instead.
versión abstractaDef
obtener versiones ()
 Compatibility versions of the graph.
VersionDefOrBuilder abstracto
getVersionsOrBuilder ()
 Compatibility versions of the graph.
booleano abstracto
tieneBiblioteca ()
 EXPERIMENTAL.
booleano abstracto
tiene versiones ()
 Compatibility versions of the graph.

Métodos públicos

resumen público 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;

función abstracta públicaDefLibraryOrBuilder 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;

resumen público NodeDef getNode (índice int)

repeated .tensorflow.NodeDef node = 1;

resumen público int getNodeCount ()

repeated .tensorflow.NodeDef node = 1;

Lista abstracta pública <NodeDef> getNodeList ()

repeated .tensorflow.NodeDef node = 1;

resumen público NodeDefOrBuilder getNodeOrBuilder (índice int)

repeated .tensorflow.NodeDef node = 1;

Lista de resúmenes públicos <? extiende NodeDefOrBuilder > getNodeOrBuilderList ()

repeated .tensorflow.NodeDef node = 1;

resumen público 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];

resumen público 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;

resumen público 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;

hasLibrary booleano abstracto público ()

 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;

hasVersions booleanos abstractos públicos ()

 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;