GraphDefOrBuilder

antarmuka publik GraphDefOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

abstrak FunctionDefLibrary
dapatkan Perpustakaan ()
 EXPERIMENTAL.
abstrak FunctionDefLibraryOrBuilder
dapatkan LibraryOrBuilder ()
 EXPERIMENTAL.
abstrak NodeDef
getNode (indeks int)
repeated .tensorflow.NodeDef node = 1;
abstrak ke dalam
dapatkanNodeCount ()
repeated .tensorflow.NodeDef node = 1;
Daftar abstrak< NodeDef >
dapatkanNodeList ()
repeated .tensorflow.NodeDef node = 1;
abstrak NodeDefOrBuilder
getNodeOrBuilder (indeks int)
repeated .tensorflow.NodeDef node = 1;
Daftar abstrak<? memperluas NodeDefOrBuilder >
getNodeOrBuilderList ()
repeated .tensorflow.NodeDef node = 1;
abstrak ke dalam
dapatkanVersi ()
 Deprecated single version field; use versions above instead.
Versi abstrakDef
dapatkan Versi ()
 Compatibility versions of the graph.
abstrak VersionDefOrBuilder
dapatkanVersionsOrBuilder ()
 Compatibility versions of the graph.
boolean abstrak
memiliki Perpustakaan ()
 EXPERIMENTAL.
boolean abstrak
memilikiVersi ()
 Compatibility versions of the graph.

Metode Publik

abstrak publik 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;

abstrak publik 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;

abstrak publik NodeDef getNode (int indeks)

repeated .tensorflow.NodeDef node = 1;

abstrak publik int getNodeCount ()

repeated .tensorflow.NodeDef node = 1;

Daftar abstrak publik< NodeDef > getNodeList ()

repeated .tensorflow.NodeDef node = 1;

abstrak publik NodeDefOrBuilder getNodeOrBuilder (int indeks)

repeated .tensorflow.NodeDef node = 1;

Daftar abstrak publik<? memperluas NodeDefOrBuilder > getNodeOrBuilderList ()

repeated .tensorflow.NodeDef node = 1;

abstrak publik 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];

abstrak publik 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;

abstrak publik 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;

boolean abstrak publik 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;

boolean abstrak publik 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;