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 int getNodeCount ()
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;