OpDef.Builder

सार्वजनिक स्थैतिक अंतिम वर्ग OpDef.Builder

 Defines an operation. A NodeDef in a GraphDef specifies an Op by
 using the "op" field which should match the name of a OpDef.
 LINT.IfChange
 

प्रोटोबफ़ प्रकार tensorflow.OpDef

सार्वजनिक तरीके

OpDef.बिल्डर	addAllAttr (Iterable<? OpDef.AttrDef > मान बढ़ाता है) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.बिल्डर	addAllControlOutput (Iterable<String> मान) Named control outputs for this operation.
OpDef.बिल्डर	addAllInputArg (Iterable<? OpDef.ArgDef > मान बढ़ाता है) Description of the input(s).
OpDef.बिल्डर	addAllOutputArg (Iterable<? OpDef.ArgDef > मान बढ़ाता है) Description of the output(s).
OpDef.बिल्डर	addAttr ( OpDef.AttrDef.Builder BuilderForValue) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.बिल्डर	addAttr (int इंडेक्स, OpDef.AttrDef.Builder BuilderForValue) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.बिल्डर	addAttr ( OpDef.AttrDef मान) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.बिल्डर	addAttr (int सूचकांक, OpDef.AttrDef मान) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.बिल्डर	addAttrबिल्डर () repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.बिल्डर	addAttrBuilder (int अनुक्रमणिका) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.बिल्डर	addControlOutput (स्ट्रिंग मान) Named control outputs for this operation.
OpDef.बिल्डर	addControlOutputBytes (com.google.protobuf.ByteString मान) Named control outputs for this operation.
OpDef.बिल्डर	addInputArg ( OpDef.ArgDef.Builder BuilderForValue) Description of the input(s).
OpDef.बिल्डर	addInputArg (int सूचकांक, OpDef.ArgDef मान) Description of the input(s).
OpDef.बिल्डर	addInputArg ( OpDef.ArgDef मान) Description of the input(s).
OpDef.बिल्डर	addInputArg (int अनुक्रमणिका, OpDef.ArgDef.Builder BuilderForValue) Description of the input(s).
OpDef.ArgDef.बिल्डर	addInputArgBuilder () Description of the input(s).
OpDef.ArgDef.बिल्डर	addInputArgBuilder (int अनुक्रमणिका) Description of the input(s).
OpDef.बिल्डर	addOutputArg (int इंडेक्स, OpDef.ArgDef.Builder BuilderForValue) Description of the output(s).
OpDef.बिल्डर	addOutputArg ( OpDef.ArgDef.Builder BuilderForValue) Description of the output(s).
OpDef.बिल्डर	addOutputArg (int सूचकांक, OpDef.ArgDef मान) Description of the output(s).
OpDef.बिल्डर	addOutputArg ( OpDef.ArgDef मान) Description of the output(s).
OpDef.ArgDef.बिल्डर	addOutputArgBuilder (int अनुक्रमणिका) Description of the output(s).
OpDef.ArgDef.बिल्डर	addOutputArgBuilder () Description of the output(s).
OpDef.बिल्डर	addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
ओपडेफ़	निर्माण ()
ओपडेफ़	बिल्डआंशिक ()
OpDef.बिल्डर	स्पष्ट ()
OpDef.बिल्डर	ClearAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
OpDef.बिल्डर	क्लियरअटर () repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.बिल्डर	क्लियरकंट्रोलआउटपुट () Named control outputs for this operation.
OpDef.बिल्डर	स्पष्ट अवनति () Optional deprecation based on GraphDef versions.
OpDef.बिल्डर	स्पष्ट विवरण () Additional, longer human-readable description of what the Op does.
OpDef.बिल्डर	क्लियरफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड)
OpDef.बिल्डर	क्लियरइनपुटआर्ग () Description of the input(s).
OpDef.बिल्डर	क्लियरइज़एग्रीगेट () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
OpDef.बिल्डर	ClearIsCommutative () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
OpDef.बिल्डर	ClearIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
OpDef.बिल्डर	स्पष्टनाम () Op names starting with an underscore are reserved for internal use.
OpDef.बिल्डर	ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
OpDef.बिल्डर	क्लियरआउटपुटआर्ग () Description of the output(s).
OpDef.बिल्डर	स्पष्टसारांश () One-line human-readable description of what the Op does.
OpDef.बिल्डर	क्लोन ()
बूलियन	getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
OpDef.AttrDef	getAttr (int सूचकांक) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDef.बिल्डर	getAttrBuilder (int अनुक्रमणिका) repeated .tensorflow.OpDef.AttrDef attr = 4;
सूची < OpDef.AttrDef.Builder >	getAttrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4;
int यहाँ	getAttrCount () repeated .tensorflow.OpDef.AttrDef attr = 4;
सूची < OpDef.AttrDef >	getAttrList () repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.AttrDefOrBuilder	getAttrOrBuilder (int अनुक्रमणिका) repeated .tensorflow.OpDef.AttrDef attr = 4;
सूची<? OpDef.AttrDefOrBuilder > का विस्तार करता है	getAttrOrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4;
डोरी	getControlOutput (int सूचकांक) Named control outputs for this operation.
com.google.protobuf.ByteString	getControlOutputBytes (int अनुक्रमणिका) Named control outputs for this operation.
int यहाँ	getControlOutputCount () Named control outputs for this operation.
com.google.protobuf.ProtocolStringList	getControlOutputList () Named control outputs for this operation.
ओपडेफ़	getDefaultInstanceForType ()
विरोध	पदावनति प्राप्त करें () Optional deprecation based on GraphDef versions.
OpDeprecation.बिल्डर	getDeprecationBuilder () Optional deprecation based on GraphDef versions.
OpDeprecationOrBuilder	getDeprecationOrBuilder () Optional deprecation based on GraphDef versions.
डोरी	विवरण प्राप्त करें () Additional, longer human-readable description of what the Op does.
com.google.protobuf.ByteString	getDescriptionबाइट्स () Additional, longer human-readable description of what the Op does.
अंतिम स्थिर com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
OpDef.ArgDef	getInputArg (int सूचकांक) Description of the input(s).
OpDef.ArgDef.बिल्डर	getInputArgBuilder (int अनुक्रमणिका) Description of the input(s).
सूची < OpDef.ArgDef.Builder >	getInputArgBuilderList () Description of the input(s).
int यहाँ	getInputArgCount () Description of the input(s).
सूची < OpDef.ArgDef >	getInputArgList () Description of the input(s).
OpDef.ArgDefOrBuilder	getInputArgOrBuilder (int अनुक्रमणिका) Description of the input(s).
सूची<? OpDef.ArgDefOrBuilder > का विस्तार करता है	getInputArgOrBuilderList () Description of the input(s).
बूलियन	getIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
बूलियन	getIsCommutative () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
बूलियन	getIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
डोरी	नाम प्राप्त करें () Op names starting with an underscore are reserved for internal use.
com.google.protobuf.ByteString	getNameबाइट्स () Op names starting with an underscore are reserved for internal use.
OpDef.ArgDef	getOutputArg (int सूचकांक) Description of the output(s).
OpDef.ArgDef.बिल्डर	getOutputArgBuilder (int अनुक्रमणिका) Description of the output(s).
सूची < OpDef.ArgDef.Builder >	getOutputArgBuilderList () Description of the output(s).
int यहाँ	getOutputArgCount () Description of the output(s).
सूची < OpDef.ArgDef >	getOutputArgList () Description of the output(s).
OpDef.ArgDefOrBuilder	getOutputArgOrBuilder (int अनुक्रमणिका) Description of the output(s).
सूची<? OpDef.ArgDefOrBuilder > का विस्तार करता है	getOutputArgOrBuilderList () Description of the output(s).
डोरी	सारांश प्राप्त करें () One-line human-readable description of what the Op does.
com.google.protobuf.ByteString	getSummaryBytes () One-line human-readable description of what the Op does.
बूलियन	निन्दा है () Optional deprecation based on GraphDef versions.
अंतिम बूलियन	प्रारंभ किया गया है ()
OpDef.बिल्डर	मर्जडेप्रिकेशन ( ओपडेप्रेशन मान) Optional deprecation based on GraphDef versions.
OpDef.बिल्डर	मर्जफ्रॉम (com.google.protobuf.Message अन्य)
OpDef.बिल्डर	मर्जफ्रॉम (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
अंतिम OpDef.बिल्डर	मर्जअज्ञातफ़ील्ड्स (com.google.protobuf.UnknownFieldSet अज्ञातफ़ील्ड्स)
OpDef.बिल्डर	रिमूवअटर (इंट इंडेक्स) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.बिल्डर	रिमूवइनपुटआर्ग (इंट इंडेक्स) Description of the input(s).
OpDef.बिल्डर	रिमूवआउटपुटआर्ग (इंट इंडेक्स) Description of the output(s).
OpDef.बिल्डर	setAllowsUninitializedInput (बूलियन मान) By default, all inputs to an Op must be initialized Tensors.
OpDef.बिल्डर	setAttr (int सूचकांक, OpDef.AttrDef मान) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.बिल्डर	setAttr (int इंडेक्स, OpDef.AttrDef.Builder BuilderForValue) repeated .tensorflow.OpDef.AttrDef attr = 4;
OpDef.बिल्डर	setControlOutput (int सूचकांक, स्ट्रिंग मान) Named control outputs for this operation.
OpDef.बिल्डर	setDeprecation ( OpDeprecation.Builder BuilderForValue) Optional deprecation based on GraphDef versions.
OpDef.बिल्डर	सेटडिप्रकेशन ( ओपडिप्रकेशन मान) Optional deprecation based on GraphDef versions.
OpDef.बिल्डर	सेट विवरण (स्ट्रिंग मान) Additional, longer human-readable description of what the Op does.
OpDef.बिल्डर	setDescriptionBytes (com.google.protobuf.ByteString मान) Additional, longer human-readable description of what the Op does.
OpDef.बिल्डर	सेटफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
OpDef.बिल्डर	setInputArg (int सूचकांक, OpDef.ArgDef मान) Description of the input(s).
OpDef.बिल्डर	setInputArg (int अनुक्रमणिका, OpDef.ArgDef.Builder BuilderForValue) Description of the input(s).
OpDef.बिल्डर	setIsAggregate (बूलियन मान) If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
OpDef.बिल्डर	setIsCommutative (बूलियन मान) True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
OpDef.बिल्डर	setIsStateful (बूलियन मान) Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
OpDef.बिल्डर	सेटनाम (स्ट्रिंग मान) Op names starting with an underscore are reserved for internal use.
OpDef.बिल्डर	setNameBytes (com.google.protobuf.ByteString मान) Op names starting with an underscore are reserved for internal use.
OpDef.बिल्डर	setOutputArg (int सूचकांक, OpDef.ArgDef मान) Description of the output(s).
OpDef.बिल्डर	setOutputArg (int सूचकांक, OpDef.ArgDef.Builder BuilderForValue) Description of the output(s).
OpDef.बिल्डर	setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, इंट इंडेक्स, ऑब्जेक्ट वैल्यू)
OpDef.बिल्डर	सेटसारांश (स्ट्रिंग मान) One-line human-readable description of what the Op does.
OpDef.बिल्डर	setSummaryBytes (com.google.protobuf.ByteString मान) One-line human-readable description of what the Op does.
अंतिम OpDef.बिल्डर	अज्ञात फ़ील्ड सेट करें (com.google.protobuf. अज्ञात फ़ील्ड सेट अज्ञात फ़ील्ड)

विरासत में मिली विधियाँ

कक्षा java.lang.Object से

बूलियन	बराबर (ऑब्जेक्ट arg0)
अंतिम कक्षा<?>	गेटक्लास ()
int यहाँ	हैशकोड ()
अंतिम शून्य	सूचित करें ()
अंतिम शून्य	सभी को सूचित करें ()
डोरी	स्ट्रिंग ()
अंतिम शून्य	प्रतीक्षा करें (लंबा arg0, int arg1)
अंतिम शून्य	प्रतीक्षा करें (लंबा arg0)
अंतिम शून्य	इंतज़ार ()

इंटरफ़ेस org.tensorflow.proto.framework.OpDefOrBuilder से

अमूर्त बूलियन	getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
सार OpDef.AttrDef	getAttr (int सूचकांक) repeated .tensorflow.OpDef.AttrDef attr = 4;
सार इंट	getAttrCount () repeated .tensorflow.OpDef.AttrDef attr = 4;
सार सूची < OpDef.AttrDef >	getAttrList () repeated .tensorflow.OpDef.AttrDef attr = 4;
सार OpDef.AttrDefOrBuilder	getAttrOrBuilder (int अनुक्रमणिका) repeated .tensorflow.OpDef.AttrDef attr = 4;
सार सूची<? OpDef.AttrDefOrBuilder > का विस्तार करता है	getAttrOrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4;
सार स्ट्रिंग	getControlOutput (int सूचकांक) Named control outputs for this operation.
सार com.google.protobuf.ByteString	getControlOutputBytes (int अनुक्रमणिका) Named control outputs for this operation.
सार इंट	getControlOutputCount () Named control outputs for this operation.
सार सूची<स्ट्रिंग>	getControlOutputList () Named control outputs for this operation.
सार OpDeprecation	पदावनति प्राप्त करें () Optional deprecation based on GraphDef versions.
सार OpDeprecationOrBuilder	getDeprecationOrBuilder () Optional deprecation based on GraphDef versions.
सार स्ट्रिंग	विवरण प्राप्त करें () Additional, longer human-readable description of what the Op does.
सार com.google.protobuf.ByteString	getDescriptionबाइट्स () Additional, longer human-readable description of what the Op does.
सार OpDef.ArgDef	getInputArg (int सूचकांक) Description of the input(s).
सार इंट	getInputArgCount () Description of the input(s).
सार सूची < OpDef.ArgDef >	getInputArgList () Description of the input(s).
सार OpDef.ArgDefOrBuilder	getInputArgOrBuilder (int अनुक्रमणिका) Description of the input(s).
सार सूची<? OpDef.ArgDefOrBuilder > का विस्तार करता है	getInputArgOrBuilderList () Description of the input(s).
अमूर्त बूलियन	getIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
अमूर्त बूलियन	getIsCommutative () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18;
अमूर्त बूलियन	getIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
सार स्ट्रिंग	नाम प्राप्त करें () Op names starting with an underscore are reserved for internal use.
सार com.google.protobuf.ByteString	getNameबाइट्स () Op names starting with an underscore are reserved for internal use.
सार OpDef.ArgDef	getOutputArg (int सूचकांक) Description of the output(s).
सार इंट	getOutputArgCount () Description of the output(s).
सार सूची < OpDef.ArgDef >	getOutputArgList () Description of the output(s).
सार OpDef.ArgDefOrBuilder	getOutputArgOrBuilder (int अनुक्रमणिका) Description of the output(s).
सार सूची<? OpDef.ArgDefOrBuilder > का विस्तार करता है	getOutputArgOrBuilderList () Description of the output(s).
सार स्ट्रिंग	सारांश प्राप्त करें () One-line human-readable description of what the Op does.
सार com.google.protobuf.ByteString	getSummaryBytes () One-line human-readable description of what the Op does.
अमूर्त बूलियन	निन्दा है () Optional deprecation based on GraphDef versions.

सार्वजनिक तरीके

सार्वजनिक OpDef.Builder addAllAttr (Iterable<? विस्तारित OpDef.AttrDef > मान)

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक OpDef.Builder addAllControlOutput (Iterable<String> मान)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

सार्वजनिक OpDef.Builder addAllInputArg (Iterable<? विस्तारित OpDef.ArgDef > मान)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक OpDef.Builder addAllOutputArg (Iterable<? विस्तार OpDef.ArgDef > मान)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक OpDef.Builder addAttr ( OpDef.AttrDef.Builder BuilderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक OpDef.Builder addAttr (int अनुक्रमणिका, OpDef.AttrDef.Builder BuilderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक OpDef.Builder addAttr ( OpDef.AttrDef मान)

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक OpDef.Builder addAttr (int सूचकांक, OpDef.AttrDef मान)

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक OpDef.AttrDef.Builder addAttrBuilder ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक OpDef.AttrDef.Builder addAttrBuilder (int अनुक्रमणिका)

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक OpDef.Builder addControlOutput (स्ट्रिंग मान)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

सार्वजनिक OpDef.Builder addControlOutputBytes (com.google.protobuf.ByteString मान)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

सार्वजनिक OpDef.Builder addInputArg ( OpDef.ArgDef.Builder BuilderForValue)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक OpDef.Builder addInputArg (int सूचकांक, OpDef.ArgDef मान)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक OpDef.Builder addInputArg ( OpDef.ArgDef मान)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक OpDef.Builder addInputArg (int अनुक्रमणिका, OpDef.ArgDef.Builder BuilderForValue)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक OpDef.ArgDef.Builder addInputArgBuilder ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक OpDef.ArgDef.Builder addInputArgBuilder (int अनुक्रमणिका)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक OpDef.Builder addOutputArg (int इंडेक्स, OpDef.ArgDef.Builder BuilderForValue)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक OpDef.Builder addOutputArg ( OpDef.ArgDef.Builder BuilderForValue)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक OpDef.Builder addOutputArg (int सूचकांक, OpDef.ArgDef मान)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक OpDef.Builder addOutputArg ( OpDef.ArgDef मान)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक OpDef.ArgDef.Builder addOutputArgBuilder (int अनुक्रमणिका)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक OpDef.ArgDef.Builder addOutputArgBuilder ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक OpDef.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)

सार्वजनिक OpDef बिल्ड ()

सार्वजनिक OpDef बिल्डआंशिक ()

सार्वजनिक OpDef.Builder स्पष्ट ()

सार्वजनिक OpDef.Builder ClearAllowsUninitializedInput ()

 By default, all inputs to an Op must be initialized Tensors.  Ops
 that may initialize tensors for the first time should set this
 field to true, to allow the Op to take an uninitialized Tensor as
 input.
 

bool allows_uninitialized_input = 19;

सार्वजनिक OpDef.Builder ClearAttr ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक OpDef.Builder ClearControlOutput ()

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

सार्वजनिक OpDef.Builder स्पष्ट अवमूल्यन ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

सार्वजनिक OpDef.Builder स्पष्ट विवरण ()

 Additional, longer human-readable description of what the Op does.
 

string description = 6;

सार्वजनिक OpDef.Builder क्लियरफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड)

सार्वजनिक OpDef.Builder ClearInputArg ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक OpDef.Builder ClearIsAggregate ()

 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.  Should be
 associative and commutative, and produce output with the same
 shape as the input.  The optimizer may replace an aggregate op
 taking input from multiple devices with a tree of aggregate ops
 that aggregate locally within each device (and possibly within
 groups of nearby devices) before communicating.
 TODO(josh11b): Implement that optimization.
 

bool is_aggregate = 16;

सार्वजनिक OpDef.Builder ClearIsCommutative ()

 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
 

bool is_commutative = 18;

सार्वजनिक OpDef.Builder ClearIsStateful ()

 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g. variable reading op) or if they have
 a side-effect (e.g. printing or asserting ops). Equivalently, stateless ops
 must always produce the same output for the same input and have
 no side-effects.
 By default Ops may be moved between devices.  Stateful ops should
 either not be moved, or should only be moved if that state can also
 be moved (e.g. via some sort of save / restore).
 Stateful ops are guaranteed to never be optimized away by Common
 Subexpression Elimination (CSE).
 

bool is_stateful = 17;

सार्वजनिक OpDef.बिल्डर स्पष्टनाम ()

 Op names starting with an underscore are reserved for internal use.
 Names should be CamelCase and match the regexp "[A-Z][a-zA-Z0-9>_]*".
 

string name = 1;

सार्वजनिक OpDef.Builder ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

सार्वजनिक OpDef.Builder ClearOutputArg ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक OpDef.Builder स्पष्टसारांश ()

 One-line human-readable description of what the Op does.
 

string summary = 5;

सार्वजनिक OpDef.बिल्डर क्लोन ()

सार्वजनिक बूलियन getAllowsUninitializedInput ()

 By default, all inputs to an Op must be initialized Tensors.  Ops
 that may initialize tensors for the first time should set this
 field to true, to allow the Op to take an uninitialized Tensor as
 input.
 

bool allows_uninitialized_input = 19;

सार्वजनिक OpDef.AttrDef getAttr (int अनुक्रमणिका)

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक OpDef.AttrDef.Builder getAttrBuilder (int अनुक्रमणिका)

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक सूची < OpDef.AttrDef.Builder > getAttrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक सूची < OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक OpDef.AttrDefOrBuilder getAttrOrBuilder (int अनुक्रमणिका)

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक सूची<? OpDef.AttrDefOrBuilder > getAttrOrBuilderList () का विस्तार करता है

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक स्ट्रिंग getControlOutput (int अनुक्रमणिका)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

सार्वजनिक com.google.protobuf.ByteString getControlOutputBytes (int अनुक्रमणिका)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

सार्वजनिक int getControlOutputCount ()

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

सार्वजनिक com.google.protobuf.ProtocolStringList getControlOutputList ()

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

सार्वजनिक OpDef getDefaultInstanceForType ()

सार्वजनिक OpDeprecation getDeprecation ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

सार्वजनिक OpDeprecation.Builder getDeprecationBuilder ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

सार्वजनिक OpDeprecationOrBuilder getDeprecationOrBuilder ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

सार्वजनिक स्ट्रिंग getDescription ()

 Additional, longer human-readable description of what the Op does.
 

string description = 6;

सार्वजनिक com.google.protobuf.ByteString getDescriptionBytes ()

 Additional, longer human-readable description of what the Op does.
 

string description = 6;

सार्वजनिक स्थैतिक अंतिम com.google.protobuf.Descriptors.Descriptor getDescriptor ()

सार्वजनिक com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

सार्वजनिक OpDef.ArgDef getInputArg (int अनुक्रमणिका)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक OpDef.ArgDef.Builder getInputArgBuilder (int अनुक्रमणिका)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक सूची < OpDef.ArgDef.Builder > getInputArgBuilderList ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक int getInputArgCount ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक सूची < OpDef.ArgDef > getInputArgList ()

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक OpDef.ArgDefOrBuilder getInputArgOrBuilder (int अनुक्रमणिका)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक सूची<? OpDef.ArgDefOrBuilder > getInputArgOrBuilderList () का विस्तार करता है

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक बूलियन getIsAggregate ()

 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.  Should be
 associative and commutative, and produce output with the same
 shape as the input.  The optimizer may replace an aggregate op
 taking input from multiple devices with a tree of aggregate ops
 that aggregate locally within each device (and possibly within
 groups of nearby devices) before communicating.
 TODO(josh11b): Implement that optimization.
 

bool is_aggregate = 16;

सार्वजनिक बूलियन getIsCommutative ()

 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
 

bool is_commutative = 18;

सार्वजनिक बूलियन getIsStateful ()

 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g. variable reading op) or if they have
 a side-effect (e.g. printing or asserting ops). Equivalently, stateless ops
 must always produce the same output for the same input and have
 no side-effects.
 By default Ops may be moved between devices.  Stateful ops should
 either not be moved, or should only be moved if that state can also
 be moved (e.g. via some sort of save / restore).
 Stateful ops are guaranteed to never be optimized away by Common
 Subexpression Elimination (CSE).
 

bool is_stateful = 17;

सार्वजनिक स्ट्रिंग getName ()

 Op names starting with an underscore are reserved for internal use.
 Names should be CamelCase and match the regexp "[A-Z][a-zA-Z0-9>_]*".
 

string name = 1;

सार्वजनिक com.google.protobuf.ByteString getNameBytes ()

 Op names starting with an underscore are reserved for internal use.
 Names should be CamelCase and match the regexp "[A-Z][a-zA-Z0-9>_]*".
 

string name = 1;

सार्वजनिक OpDef.ArgDef getOutputArg (int अनुक्रमणिका)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक OpDef.ArgDef.Builder getOutputArgBuilder (int अनुक्रमणिका)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक सूची < OpDef.ArgDef.Builder > getOutputArgBuilderList ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक int getOutputArgCount ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक सूची < OpDef.ArgDef > getOutputArgList ()

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक OpDef.ArgDefOrBuilder getOutputArgOrBuilder (int अनुक्रमणिका)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक सूची<? OpDef.ArgDefOrBuilder > getOutputArgOrBuilderList () का विस्तार करता है

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक स्ट्रिंग getSummary ()

 One-line human-readable description of what the Op does.
 

string summary = 5;

सार्वजनिक com.google.protobuf.ByteString getSummaryBytes ()

 One-line human-readable description of what the Op does.
 

string summary = 5;

सार्वजनिक बूलियन में अवनति है ()

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

सार्वजनिक अंतिम बूलियन आरंभीकृत है ()

सार्वजनिक OpDef.Builder mergeDeprecation ( OpDeprecation मान)

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

सार्वजनिक OpDef.Builder mergeFrom (com.google.protobuf.Message अन्य)

सार्वजनिक OpDef.Builder mergeFrom (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता

आईओ अपवाद

सार्वजनिक अंतिम OpDef.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet अज्ञातFields)

सार्वजनिक OpDef.Builder हटाएँAttr (int सूचकांक)

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक OpDef.Builder निष्कासनInputArg (int अनुक्रमणिका)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक OpDef.Builder रिमूवआउटपुटArg (int अनुक्रमणिका)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक OpDef.Builder setAllowsUninitializedInput (बूलियन मान)

 By default, all inputs to an Op must be initialized Tensors.  Ops
 that may initialize tensors for the first time should set this
 field to true, to allow the Op to take an uninitialized Tensor as
 input.
 

bool allows_uninitialized_input = 19;

सार्वजनिक OpDef.Builder setAttr (int सूचकांक, OpDef.AttrDef मान)

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक OpDef.Builder setAttr (int सूचकांक, OpDef.AttrDef.Builder BuilderForValue)

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक OpDef.Builder setControlOutput (int सूचकांक, स्ट्रिंग मान)

 Named control outputs for this operation. Useful only for composite
 operations (i.e. functions) which want to name different control outputs.
 

repeated string control_output = 20;

सार्वजनिक OpDeprecation.Builder बिल्डरफॉरवैल्यू

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

सार्वजनिक OpDef.Builder setDeprecation ( OpDeprecation मान)

 Optional deprecation based on GraphDef versions.
 

.tensorflow.OpDeprecation deprecation = 8;

सार्वजनिक OpDef.Builder सेट विवरण (स्ट्रिंग मान)

 Additional, longer human-readable description of what the Op does.
 

string description = 6;

सार्वजनिक OpDef.Builder setDescriptionBytes (com.google.protobuf.ByteString मान)

 Additional, longer human-readable description of what the Op does.
 

string description = 6;

सार्वजनिक OpDef.Builder सेटफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)

सार्वजनिक OpDef.Builder setInputArg (int सूचकांक, OpDef.ArgDef मान)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक OpDef.Builder setInputArg (int अनुक्रमणिका, OpDef.ArgDef.Builder BuilderForValue)

 Description of the input(s).
 

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक OpDef.Builder setIsAggregate (बूलियन मान)

 If is_aggregate is true, then this operation accepts N >= 2
 inputs and produces 1 output all of the same type.  Should be
 associative and commutative, and produce output with the same
 shape as the input.  The optimizer may replace an aggregate op
 taking input from multiple devices with a tree of aggregate ops
 that aggregate locally within each device (and possibly within
 groups of nearby devices) before communicating.
 TODO(josh11b): Implement that optimization.
 

bool is_aggregate = 16;

सार्वजनिक OpDef.Builder setIsCommutative (बूलियन मान)

 True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
 

bool is_commutative = 18;

सार्वजनिक OpDef.Builder setIsStateful (बूलियन मान)

 Ops are marked as stateful if their behavior depends on some state beyond
 their input tensors (e.g. variable reading op) or if they have
 a side-effect (e.g. printing or asserting ops). Equivalently, stateless ops
 must always produce the same output for the same input and have
 no side-effects.
 By default Ops may be moved between devices.  Stateful ops should
 either not be moved, or should only be moved if that state can also
 be moved (e.g. via some sort of save / restore).
 Stateful ops are guaranteed to never be optimized away by Common
 Subexpression Elimination (CSE).
 

bool is_stateful = 17;

सार्वजनिक OpDef.Builder सेटनाम (स्ट्रिंग मान)

 Op names starting with an underscore are reserved for internal use.
 Names should be CamelCase and match the regexp "[A-Z][a-zA-Z0-9>_]*".
 

string name = 1;

सार्वजनिक OpDef.Builder setNameBytes (com.google.protobuf.ByteString मान)

 Op names starting with an underscore are reserved for internal use.
 Names should be CamelCase and match the regexp "[A-Z][a-zA-Z0-9>_]*".
 

string name = 1;

सार्वजनिक OpDef.Builder setOutputArg (int सूचकांक, OpDef.ArgDef मान)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक OpDef.Builder setOutputArg (int सूचकांक, OpDef.ArgDef.Builder BuilderForValue)

 Description of the output(s).
 

repeated .tensorflow.OpDef.ArgDef output_arg = 3;

सार्वजनिक OpDef.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, int अनुक्रमणिका, ऑब्जेक्ट मान)

सार्वजनिक OpDef.Builder सेटसारांश (स्ट्रिंग मान)

 One-line human-readable description of what the Op does.
 

string summary = 5;

सार्वजनिक OpDef.Builder setSummaryBytes (com.google.protobuf.ByteString मान)

 One-line human-readable description of what the Op does.
 

string summary = 5;

सार्वजनिक अंतिम OpDef.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet अज्ञातFields)