Package org.tensorflow.framework

Interface OpDef.ArgDefOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
OpDef.ArgDef, OpDef.ArgDef.Builder
Enclosing class:
OpDef
public static interface OpDef.ArgDefOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getName

      String getName()
       Name for the input/output.  Should match the regexp "[a-z][a-z0-9_]*".
      string name = 1;
      Returns:
      The name.

    • getNameBytes

      com.google.protobuf.ByteString getNameBytes()
       Name for the input/output.  Should match the regexp "[a-z][a-z0-9_]*".
      string name = 1;
      Returns:
      The bytes for name.

    • getDescription

      String getDescription()
       Human readable description.
      string description = 2;
      Returns:
      The description.

    • getDescriptionBytes

      com.google.protobuf.ByteString getDescriptionBytes()
       Human readable description.
      string description = 2;
      Returns:
      The bytes for description.

    • getTypeValue

      int getTypeValue()
       Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.  The only legal combinations are:
 * For a single tensor: either the "type" field is set or the
   "type_attr" field is set to the name of an attr with type "type".
 * For a sequence of tensors with the same type: the "number_attr"
   field will be set to the name of an attr with type "int", and
   either the "type" or "type_attr" field will be set as for
   single tensors.
 * For a sequence of tensors, the "type_list_attr" field will be set
   to the name of an attr with type "list(type)".
      .tensorflow.DataType type = 3;
      Returns:
      The enum numeric value on the wire for type.

    • getType

      DataType getType()
       Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.  The only legal combinations are:
 * For a single tensor: either the "type" field is set or the
   "type_attr" field is set to the name of an attr with type "type".
 * For a sequence of tensors with the same type: the "number_attr"
   field will be set to the name of an attr with type "int", and
   either the "type" or "type_attr" field will be set as for
   single tensors.
 * For a sequence of tensors, the "type_list_attr" field will be set
   to the name of an attr with type "list(type)".
      .tensorflow.DataType type = 3;
      Returns:
      The type.

    • getTypeAttr

      String getTypeAttr()
       if specified, attr must have type "type"
      string type_attr = 4;
      Returns:
      The typeAttr.

    • getTypeAttrBytes

      com.google.protobuf.ByteString getTypeAttrBytes()
       if specified, attr must have type "type"
      string type_attr = 4;
      Returns:
      The bytes for typeAttr.

    • getNumberAttr

      String getNumberAttr()
       if specified, attr must have type "int"
      string number_attr = 5;
      Returns:
      The numberAttr.

    • getNumberAttrBytes

      com.google.protobuf.ByteString getNumberAttrBytes()
       if specified, attr must have type "int"
      string number_attr = 5;
      Returns:
      The bytes for numberAttr.

    • getTypeListAttr

      String getTypeListAttr()
       If specified, attr must have type "list(type)", and none of
 type, type_attr, and number_attr may be specified.
      string type_list_attr = 6;
      Returns:
      The typeListAttr.

    • getTypeListAttrBytes

      com.google.protobuf.ByteString getTypeListAttrBytes()
       If specified, attr must have type "list(type)", and none of
 type, type_attr, and number_attr may be specified.
      string type_list_attr = 6;
      Returns:
      The bytes for typeListAttr.

    • getHandleDataList

      List<ResourceHandleProto.DtypeAndShape> getHandleDataList()
       The handle data for resource inputs.
      repeated .tensorflow.ResourceHandleProto.DtypeAndShape handle_data = 7;

    • getHandleData

      ResourceHandleProto.DtypeAndShape getHandleData(int index)
       The handle data for resource inputs.
      repeated .tensorflow.ResourceHandleProto.DtypeAndShape handle_data = 7;

    • getHandleDataCount

      int getHandleDataCount()
       The handle data for resource inputs.
      repeated .tensorflow.ResourceHandleProto.DtypeAndShape handle_data = 7;

    • getHandleDataOrBuilderList

      List<? extends ResourceHandleProto.DtypeAndShapeOrBuilder> getHandleDataOrBuilderList()
       The handle data for resource inputs.
      repeated .tensorflow.ResourceHandleProto.DtypeAndShape handle_data = 7;

    • getHandleDataOrBuilder

      ResourceHandleProto.DtypeAndShapeOrBuilder getHandleDataOrBuilder(int index)
       The handle data for resource inputs.
      repeated .tensorflow.ResourceHandleProto.DtypeAndShape handle_data = 7;

    • getIsRef

      boolean getIsRef()
       For inputs: if true, the inputs are required to be refs.
   By default, inputs can be either refs or non-refs.
 For outputs: if true, outputs are refs, otherwise they are not.
      bool is_ref = 16;
      Returns:
      The isRef.

    • hasExperimentalFullType

      boolean hasExperimentalFullType()
       Experimental. Full type declaration for this argument.
 The full type specification combines type, type_attr, type_list_attr,
 etc. into a unified representation.
 This declaration may contain non-concrete types (for example,
 Tensor<TypeVar<'T'>> is a valid type declaration.

 Note: this is a transient field. The long-term aim is to represent the
 entire OpDef as a single type: a callable. In that context, this field is
 just the type of a single argument.
      .tensorflow.FullTypeDef experimental_full_type = 17;
      Returns:
      Whether the experimentalFullType field is set.

    • getExperimentalFullType

      FullTypeDef getExperimentalFullType()
       Experimental. Full type declaration for this argument.
 The full type specification combines type, type_attr, type_list_attr,
 etc. into a unified representation.
 This declaration may contain non-concrete types (for example,
 Tensor<TypeVar<'T'>> is a valid type declaration.

 Note: this is a transient field. The long-term aim is to represent the
 entire OpDef as a single type: a callable. In that context, this field is
 just the type of a single argument.
      .tensorflow.FullTypeDef experimental_full_type = 17;
      Returns:
      The experimentalFullType.

    • getExperimentalFullTypeOrBuilder

      FullTypeDefOrBuilder getExperimentalFullTypeOrBuilder()
       Experimental. Full type declaration for this argument.
 The full type specification combines type, type_attr, type_list_attr,
 etc. into a unified representation.
 This declaration may contain non-concrete types (for example,
 Tensor<TypeVar<'T'>> is a valid type declaration.

 Note: this is a transient field. The long-term aim is to represent the
 entire OpDef as a single type: a callable. In that context, this field is
 just the type of a single argument.
      .tensorflow.FullTypeDef experimental_full_type = 17;