GraphDefOrBuilder

interface pública GraphDefOrBuilder
Subclasses indiretas conhecidas

Métodos Públicos

Abstract FunctionDefLibrary
getLibrary ()
 EXPERIMENTAL.
Abstract FunctionDefLibraryOrBuilder
getLibraryOrBuilder ()
 EXPERIMENTAL.
NodeDef abstrato
getNode (índice interno )
repeated .tensorflow.NodeDef node = 1;
int abstrato
getNodeCount ()
repeated .tensorflow.NodeDef node = 1;
Lista abstrata < NodeDef >
getNodeList ()
repeated .tensorflow.NodeDef node = 1;
NodeDefOrBuilder abstrato
getNodeOrBuilder (índice interno )
repeated .tensorflow.NodeDef node = 1;
Lista abstrata <? estende NodeDefOrBuilder >
getNodeOrBuilderList ()
repeated .tensorflow.NodeDef node = 1;
int abstrato
getVersion ()
 Deprecated single version field; use versions above instead.
abstrato VersionDef
getVersions ()
 Compatibility versions of the graph.
abstrato VersionDefOrBuilder
getVersionsOrBuilder ()
 Compatibility versions of the graph.
booleano abstrato
hasLibrary ()
 EXPERIMENTAL.
booleano abstrato
hasVersions ()
 Compatibility versions of the graph.

Métodos Públicos

public abstract 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;

public abstract 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;

public abstract NodeDef getNode (índice interno )

repeated .tensorflow.NodeDef node = 1;

public abstract int getNodeCount ()

repeated .tensorflow.NodeDef node = 1;

public abstract List < NodeDef > getNodeList ()

repeated .tensorflow.NodeDef node = 1;

public abstract NodeDefOrBuilder getNodeOrBuilder (índice interno )

repeated .tensorflow.NodeDef node = 1;

Lista de resumos pública <? 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];

abstratos públicas 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;

public abstract 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 abstract boolean 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;

public abstract boolean 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;