GraphDefOrBuilder

सार्वजनिक इंटरफ़ेस GraphDefOrBuilder
ज्ञात अप्रत्यक्ष उपवर्ग

सार्वजनिक तरीके

सार फ़ंक्शनडेफ़लाइब्रेरी
सार FunctionDefLibraryOrBuilder
getLibraryOrBuilder ()
 EXPERIMENTAL.
सार NodeDef
getNode (int सूचकांक)
repeated .tensorflow.NodeDef node = 1;
सार इंट
getNodeCount ()
repeated .tensorflow.NodeDef node = 1;
सार सूची< NodeDef >
getNodeList ()
repeated .tensorflow.NodeDef node = 1;
सार NodeDefOrBuilder
getNodeOrBuilder (int अनुक्रमणिका)
repeated .tensorflow.NodeDef node = 1;
सार सूची<? NodeDefOrBuilder > का विस्तार करता है
getNodeOrBuilderList ()
repeated .tensorflow.NodeDef node = 1;
सार इंट
संस्करण प्राप्त करें ()
 Deprecated single version field; use versions above instead.
सार VersionDef
संस्करण प्राप्त करें ()
 Compatibility versions of the graph.
सार संस्करणDefOrBuilder
getVersionsOrBuilder ()
 Compatibility versions of the graph.
अमूर्त बूलियन
अमूर्त बूलियन
हैसंस्करण ()
 Compatibility versions of the graph.

सार्वजनिक तरीके

सार्वजनिक सार 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;

सार्वजनिक सार 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;

सार्वजनिक सार NodeDef getNode (int अनुक्रमणिका)

repeated .tensorflow.NodeDef node = 1;

सार्वजनिक सार int getNodeCount ()

repeated .tensorflow.NodeDef node = 1;

सार्वजनिक सार सूची < NodeDef > getNodeList ()

repeated .tensorflow.NodeDef node = 1;

सार्वजनिक सार NodeDefOrBuilder getNodeOrBuilder (int अनुक्रमणिका)

repeated .tensorflow.NodeDef node = 1;

सार्वजनिक सार सूची<? NodeDefOrBuilder > getNodeOrBuilderList () का विस्तार करता है

repeated .tensorflow.NodeDef node = 1;

सार्वजनिक सार 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];

सार्वजनिक सार 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;

सार्वजनिक सार 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;

सार्वजनिक सार बूलियन हैलाइब्रेरी ()

 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;

सार्वजनिक सार बूलियन 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;