OpDef.ArgDefOrBuilder

सार्वजनिक स्थैतिक इंटरफ़ेस OpDef.ArgDefOrBuilder
ज्ञात अप्रत्यक्ष उपवर्ग

सार्वजनिक तरीके

सार स्ट्रिंग
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;