Package org.tensorflow.framework

Interface GraphDefOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
GraphDef, GraphDef.Builder
public interface GraphDefOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getNodeList

      List<NodeDef> getNodeList()
      repeated .tensorflow.NodeDef node = 1;

    • getNode

      NodeDef getNode(int index)
      repeated .tensorflow.NodeDef node = 1;

    • getNodeCount

      int getNodeCount()
      repeated .tensorflow.NodeDef node = 1;

    • getNodeOrBuilderList

      List<? extends NodeDefOrBuilder> getNodeOrBuilderList()
      repeated .tensorflow.NodeDef node = 1;

    • getNodeOrBuilder

      NodeDefOrBuilder getNodeOrBuilder(int index)
      repeated .tensorflow.NodeDef node = 1;

    • hasVersions

      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;
      Returns:
      Whether the versions field is set.

    • getVersions

      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;
      Returns:
      The versions.

    • getVersionsOrBuilder

      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;

    • getVersion

      @Deprecated int getVersion()
      Deprecated.
      tensorflow.GraphDef.version is deprecated. See tensorflow/core/framework/graph.proto;l=43
       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];
      Returns:
      The version.

    • hasLibrary

      boolean hasLibrary()
       "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;
      Returns:
      Whether the library field is set.

    • getLibrary

      FunctionDefLibrary getLibrary()
       "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;
      Returns:
      The library.

    • getLibraryOrBuilder

      FunctionDefLibraryOrBuilder getLibraryOrBuilder()
       "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;

    • hasDebugInfo

      boolean hasDebugInfo()
       Stack traces for the nodes in this graph.
      .tensorflow.GraphDebugInfo debug_info = 5;
      Returns:
      Whether the debugInfo field is set.

    • getDebugInfo

      GraphDebugInfo getDebugInfo()
       Stack traces for the nodes in this graph.
      .tensorflow.GraphDebugInfo debug_info = 5;
      Returns:
      The debugInfo.

    • getDebugInfoOrBuilder

      GraphDebugInfoOrBuilder getDebugInfoOrBuilder()
       Stack traces for the nodes in this graph.
      .tensorflow.GraphDebugInfo debug_info = 5;