सार्वजनिक स्थैतिक इंटरफ़ेस OpDef.ArgDefOrBuilder 
| ज्ञात अप्रत्यक्ष उपवर्ग | 
सार्वजनिक तरीके
| सार स्ट्रिंग |  विवरण प्राप्त करें ()  Human readable description. | 
| सार com.google.protobuf.ByteString |  getDescriptionबाइट्स ()  Human readable description. | 
| अमूर्त बूलियन |  getIsRef ()  For inputs: if true, the inputs are required to be refs. | 
| सार स्ट्रिंग |  नाम प्राप्त करें ()  Name for the input/output. | 
| सार com.google.protobuf.ByteString |  getNameबाइट्स ()  Name for the input/output. | 
| सार स्ट्रिंग |  getNumberAttr ()  if specified, attr must have type "int" string number_attr = 5; | 
| सार com.google.protobuf.ByteString |  getNumberAttrBytes ()  if specified, attr must have type "int" string number_attr = 5; | 
| सार डेटा प्रकार |  गेटटाइप ()  Describes the type of one or more tensors that are accepted/produced by this input/output arg. | 
| सार स्ट्रिंग |  getTypeAttr ()  if specified, attr must have type "type" string type_attr = 4; | 
| सार com.google.protobuf.ByteString |  getTypeAttrBytes ()  if specified, attr must have type "type" string type_attr = 4; | 
| सार स्ट्रिंग |  getTypeListAttr ()  If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified. | 
| सार 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. | 
| सार इंट |  getTypeValue ()  Describes the type of one or more tensors that are accepted/produced by this input/output arg. | 
सार्वजनिक तरीके
सार्वजनिक सार स्ट्रिंग getDescription ()
Human readable description.
string description = 2; सार्वजनिक सार com.google.protobuf.ByteString getDescriptionBytes ()
Human readable description.
string description = 2; सार्वजनिक सार बूलियन 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; सार्वजनिक सार स्ट्रिंग getName ()
Name for the input/output. Should match the regexp "[a-z][a-z0-9_]*".
string name = 1; सार्वजनिक सार com.google.protobuf.ByteString getNameBytes ()
Name for the input/output. Should match the regexp "[a-z][a-z0-9_]*".
string name = 1; सार्वजनिक सार स्ट्रिंग getNumberAttr ()
if specified, attr must have type "int"
string number_attr = 5; सार्वजनिक सार com.google.protobuf.ByteString getNumberAttrBytes ()
if specified, attr must have type "int"
string number_attr = 5; सार्वजनिक सार डेटा प्रकार 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; सार्वजनिक सार स्ट्रिंग getTypeAttr ()
if specified, attr must have type "type"
string type_attr = 4; सार्वजनिक सार com.google.protobuf.ByteString getTypeAttrBytes ()
if specified, attr must have type "type"
string type_attr = 4; सार्वजनिक सार स्ट्रिंग 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; सार्वजनिक सार 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; सार्वजनिक सार 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;