OpDef.ArgDefOrBuilder

public static interface OpDef.ArgDefOrBuilder
Known Indirect Subclasses

Public Methods

abstract String
getDescription() 
 Human readable description.
abstract com.google.protobuf.ByteString
getDescriptionBytes() 
 Human readable description.
abstract boolean
getIsRef() 
 For inputs: if true, the inputs are required to be refs.
abstract String
getName() 
 Name for the input/output.
abstract com.google.protobuf.ByteString
getNameBytes() 
 Name for the input/output.
abstract String
getNumberAttr() 
 if specified, attr must have type "int"
string number_attr = 5;
abstract com.google.protobuf.ByteString
getNumberAttrBytes() 
 if specified, attr must have type "int"
string number_attr = 5;
abstract DataType
getType() 
 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.
abstract String
getTypeAttr() 
 if specified, attr must have type "type"
string type_attr = 4;
abstract com.google.protobuf.ByteString
getTypeAttrBytes() 
 if specified, attr must have type "type"
string type_attr = 4;
abstract String
getTypeListAttr() 
 If specified, attr must have type "list(type)", and none of
 type, type_attr, and number_attr may be specified.
abstract 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.
abstract int
getTypeValue() 
 Describes the type of one or more tensors that are accepted/produced
 by this input/output arg.

Public Methods

public abstract String getDescription () 

 Human readable description.
string description = 2;

public abstract com.google.protobuf.ByteString getDescriptionBytes () 

 Human readable description.
string description = 2;

public abstract 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;

public abstract String getName () 

 Name for the input/output.  Should match the regexp "[a-z][a-z0-9_]*".
string name = 1;

public abstract com.google.protobuf.ByteString getNameBytes () 

 Name for the input/output.  Should match the regexp "[a-z][a-z0-9_]*".
string name = 1;

public abstract String getNumberAttr () 

 if specified, attr must have type "int"
string number_attr = 5;

public abstract com.google.protobuf.ByteString getNumberAttrBytes () 

 if specified, attr must have type "int"
string number_attr = 5;

public abstract 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;

public abstract String getTypeAttr () 

 if specified, attr must have type "type"
string type_attr = 4;

public abstract com.google.protobuf.ByteString getTypeAttrBytes () 

 if specified, attr must have type "type"
string type_attr = 4;

public abstract 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;

public abstract 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;

public abstract 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;