GraphDefOrBuilder

interfaccia pubblica GraphDefOrBuilder
Sottoclassi indirette conosciute

Metodi pubblici

libreria FunctionDef astratta
getLibreria ()
 EXPERIMENTAL.
abstract FunctionDefLibraryOrBuilder
getLibraryOrBuilder ()
 EXPERIMENTAL.
astratto NodeDef
getNode (indice int)
repeated .tensorflow.NodeDef node = 1;
astratto int
getNodeCount ()
repeated .tensorflow.NodeDef node = 1;
Lista astratta< NodeDef >
getNodeList ()
repeated .tensorflow.NodeDef node = 1;
astratto NodeDefOrBuilder
getNodeOrBuilder (indice int)
repeated .tensorflow.NodeDef node = 1;
Elenco astratto<? estende NodeDefOrBuilder >
getNodeOrBuilderList ()
repeated .tensorflow.NodeDef node = 1;
astratto int
getVersione ()
 Deprecated single version field; use versions above instead.
versione astrattaDef
getVersions ()
 Compatibility versions of the graph.
versione astrattaDefOrBuilder
getVersionsOrBuilder ()
 Compatibility versions of the graph.
booleano astratto
haLibreria ()
 EXPERIMENTAL.
booleano astratto
haVersioni ()
 Compatibility versions of the graph.

Metodi pubblici

estratto pubblico FunctionDefLibrary getLibrary ()

libreria

 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 abstract FunctionDefLibraryOrBuilder getLibraryOrBuilder ()

libreria

 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 abstract NodeDef getNode (indice int)

repeated .tensorflow.NodeDef node = 1;

public abstract int getNodeCount ()

repeated .tensorflow.NodeDef node = 1;

Elenco astratto pubblico< NodeDef > getNodeList ()

repeated .tensorflow.NodeDef node = 1;

public abstract NodeDefOrBuilder getNodeOrBuilder (indice int)

repeated .tensorflow.NodeDef node = 1;

Elenco abstract pubblico<? estende NodeDefOrBuilder > getNodeOrBuilderList ()

repeated .tensorflow.NodeDef node = 1;

public abstract 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];

estratto pubblico VersionDef getVersions ()

versioni

 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;

estratto pubblico VersionDefOrBuilder getVersionsOrBuilder ()

versioni

 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 abstract booleano hasLibrary ()

libreria

 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 booleane astratte pubbliche ()

versioni

 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;