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OpDefOrBuilder

सार्वजनिक इंटरफ़ेस OpDefOrBuilder

ज्ञात अप्रत्यक्ष उपवर्ग

सार्वजनिक तरीके

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 सार 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 सार OpDef.AttrDef getAttr (int अनुक्रमणिका)

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक सार int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक सार सूची < OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक सार OpDef.AttrDefOrBuilder getAttrOrBuilder (int अनुक्रमणिका)

repeated .tensorflow.OpDef.AttrDef attr = 4;

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

repeated .tensorflow.OpDef.AttrDef attr = 4;

सार्वजनिक सार 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 सार 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 सार 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 सार सूची <स्ट्रिंग> 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 सार OpDeprecation getDeprecation ()

 Optional deprecation based on GraphDef versions.

.tensorflow.OpDeprecation deprecation = 8;

सार्वजनिक सार OpDeprecationOrBuilder getDeprecationOrBuilder ()

 Optional deprecation based on GraphDef versions.

.tensorflow.OpDeprecation deprecation = 8;

सार्वजनिक सार स्ट्रिंग getDescription ()

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

string description = 6;

सार्वजनिक सार com.google.protobuf.ByteString getDescriptionBytes ()

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

string description = 6;

सार्वजनिक सार OpDef.ArgDef getInputArg (int अनुक्रमणिका)

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक सार int getInputArgCount ()

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक सार सूची < OpDef.ArgDef > getInputArgList ()

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक सार OpDef.ArgDefOrBuilder getInputArgOrBuilder (int अनुक्रमणिका)

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

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

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

सार्वजनिक सार 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 सार बूलियन getIsCommutative ()

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

bool is_commutative = 18;

सार्वजनिक सार 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 सार 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 सार 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;