Package org.tensorflow.framework

Class GraphDef.Builder

  • All Implemented Interfaces:
    Cloneable, org.nd4j.shade.protobuf.Message.Builder, org.nd4j.shade.protobuf.MessageLite.Builder, org.nd4j.shade.protobuf.MessageLiteOrBuilder, org.nd4j.shade.protobuf.MessageOrBuilder, GraphDefOrBuilder
    Enclosing class:
    GraphDef
    public static final class GraphDef.Builder
extends org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>
implements GraphDefOrBuilder
     Represents the graph of operations
    Protobuf type tensorflow.GraphDef

    • Method Detail

      • getDescriptor

        public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()

      • internalGetFieldAccessorTable

        protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>

      • clear

        public GraphDef.Builder clear()
        Specified by:
        clear in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        clear in interface org.nd4j.shade.protobuf.MessageLite.Builder
        Overrides:
        clear in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>

      • getDescriptorForType

        public org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface org.nd4j.shade.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>

      • getDefaultInstanceForType

        public GraphDef getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageOrBuilder

      • build

        public GraphDef build()
        Specified by:
        build in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        build in interface org.nd4j.shade.protobuf.MessageLite.Builder

      • buildPartial

        public GraphDef buildPartial()
        Specified by:
        buildPartial in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        buildPartial in interface org.nd4j.shade.protobuf.MessageLite.Builder

      • clone

        public GraphDef.Builder clone()
        Specified by:
        clone in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        clone in interface org.nd4j.shade.protobuf.MessageLite.Builder
        Overrides:
        clone in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>

      • setField

        public GraphDef.Builder setField​(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
                                 Object value)
        Specified by:
        setField in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        setField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>

      • clearField

        public GraphDef.Builder clearField​(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
        Specified by:
        clearField in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        clearField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>

      • clearOneof

        public GraphDef.Builder clearOneof​(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
        Specified by:
        clearOneof in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        clearOneof in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>

      • setRepeatedField

        public GraphDef.Builder setRepeatedField​(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
                                         int index,
                                         Object value)
        Specified by:
        setRepeatedField in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>

      • addRepeatedField

        public GraphDef.Builder addRepeatedField​(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
                                         Object value)
        Specified by:
        addRepeatedField in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>

      • mergeFrom

        public GraphDef.Builder mergeFrom​(org.nd4j.shade.protobuf.Message other)
        Specified by:
        mergeFrom in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        mergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<GraphDef.Builder>

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>

      • mergeFrom

        public GraphDef.Builder mergeFrom​(org.nd4j.shade.protobuf.CodedInputStream input,
                                  org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                           throws IOException
        Specified by:
        mergeFrom in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        mergeFrom in interface org.nd4j.shade.protobuf.MessageLite.Builder
        Overrides:
        mergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<GraphDef.Builder>
        Throws:
        IOException

      • clearNode

        public GraphDef.Builder clearNode()
        repeated .tensorflow.NodeDef node = 1;

      • removeNode

        public GraphDef.Builder removeNode​(int index)
        repeated .tensorflow.NodeDef node = 1;

      • getNodeBuilder

        public NodeDef.Builder getNodeBuilder​(int index)
        repeated .tensorflow.NodeDef node = 1;

      • addNodeBuilder

        public NodeDef.Builder addNodeBuilder()
        repeated .tensorflow.NodeDef node = 1;

      • addNodeBuilder

        public NodeDef.Builder addNodeBuilder​(int index)
        repeated .tensorflow.NodeDef node = 1;

      • getNodeBuilderList

        public List<NodeDef.Builder> getNodeBuilderList()
        repeated .tensorflow.NodeDef node = 1;

      • hasVersions

        public 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;
        Specified by:
        hasVersions in interface GraphDefOrBuilder
        Returns:
        Whether the versions field is set.

      • getVersions

        public 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;
        Specified by:
        getVersions in interface GraphDefOrBuilder
        Returns:
        The versions.

      • setVersions

        public GraphDef.Builder setVersions​(VersionDef value)
         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;

      • setVersions

        public GraphDef.Builder setVersions​(VersionDef.Builder builderForValue)
         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;

      • mergeVersions

        public GraphDef.Builder mergeVersions​(VersionDef value)
         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;

      • clearVersions

        public GraphDef.Builder clearVersions()
         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;

      • getVersionsBuilder

        public VersionDef.Builder getVersionsBuilder()
         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;

      • getVersionsOrBuilder

        public 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;
        Specified by:
        getVersionsOrBuilder in interface GraphDefOrBuilder

      • getVersion

        @Deprecated
public int getVersion()
        Deprecated.
        tensorflow.GraphDef.version is deprecated. See tensorflow/core/framework/graph.proto;l=24
         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];
        Specified by:
        getVersion in interface GraphDefOrBuilder
        Returns:
        The version.

      • setVersion

        @Deprecated
public GraphDef.Builder setVersion​(int value)
        Deprecated.
        tensorflow.GraphDef.version is deprecated. See tensorflow/core/framework/graph.proto;l=24
         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];
        Parameters:
        value - The version to set.
        Returns:
        This builder for chaining.

      • clearVersion

        @Deprecated
public GraphDef.Builder clearVersion()
        Deprecated.
        tensorflow.GraphDef.version is deprecated. See tensorflow/core/framework/graph.proto;l=24
         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:
        This builder for chaining.

      • hasLibrary

        public 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;
        Specified by:
        hasLibrary in interface GraphDefOrBuilder
        Returns:
        Whether the library field is set.

      • getLibrary

        public 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;
        Specified by:
        getLibrary in interface GraphDefOrBuilder
        Returns:
        The library.

      • setLibrary

        public GraphDef.Builder setLibrary​(FunctionDefLibrary value)
         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;

      • setLibrary

        public GraphDef.Builder setLibrary​(FunctionDefLibrary.Builder builderForValue)
         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;

      • mergeLibrary

        public GraphDef.Builder mergeLibrary​(FunctionDefLibrary value)
         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;

      • clearLibrary

        public GraphDef.Builder clearLibrary()
         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;

      • getLibraryBuilder

        public FunctionDefLibrary.Builder getLibraryBuilder()
         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;

      • getLibraryOrBuilder

        public 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;
        Specified by:
        getLibraryOrBuilder in interface GraphDefOrBuilder

      • setUnknownFields

        public final GraphDef.Builder setUnknownFields​(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>

      • mergeUnknownFields

        public final GraphDef.Builder mergeUnknownFields​(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>