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
tensorflow.OpDef
Genel Yöntemler
OpDef.Builder | addAllAttr (Yinelenebilir<? OpDef.AttrDef > değerleri genişletir) repeated .tensorflow.OpDef.AttrDef attr = 4; |
OpDef.Builder | addAllControlOutput (Yinelenebilir<String> değerleri) Named control outputs for this operation. |
OpDef.Builder | addAllInputArg (Yinelenebilir<?, OpDef.ArgDef > değerlerini genişletir) Description of the input(s). |
OpDef.Builder | addAllOutputArg (Yinelenebilir<?, OpDef.ArgDef > değerlerini genişletir) Description of the output(s). |
OpDef.Builder | |
OpDef.Builder | addAttr (int dizini, OpDef.AttrDef.Builder builderForValue) repeated .tensorflow.OpDef.AttrDef attr = 4; |
OpDef.Builder | |
OpDef.Builder | |
OpDef.AttrDef.Builder | addAttrBuilder () repeated .tensorflow.OpDef.AttrDef attr = 4; |
OpDef.AttrDef.Builder | addAttrBuilder (int dizini) repeated .tensorflow.OpDef.AttrDef attr = 4; |
OpDef.Builder | addControlOutput (Dize değeri) Named control outputs for this operation. |
OpDef.Builder | addControlOutputBytes (com.google.protobuf.ByteString değeri) Named control outputs for this operation. |
OpDef.Builder | |
OpDef.Builder | |
OpDef.Builder | |
OpDef.Builder | |
OpDef.ArgDef.Builder | addInputArgBuilder () Description of the input(s). |
OpDef.ArgDef.Builder | addInputArgBuilder (int dizini) Description of the input(s). |
OpDef.Builder | |
OpDef.Builder | |
OpDef.Builder | |
OpDef.Builder | |
OpDef.ArgDef.Builder | addOutputArgBuilder (int dizini) Description of the output(s). |
OpDef.ArgDef.Builder | addOutputArgBuilder () Description of the output(s). |
OpDef.Builder | addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri) |
OpDef | inşa etmek () |
OpDef | inşaKısmi () |
OpDef.Builder | temizlemek () |
OpDef.Builder | clearAllowsUnitializedInput () By default, all inputs to an Op must be initialized Tensors. |
OpDef.Builder | clearAttr () repeated .tensorflow.OpDef.AttrDef attr = 4; |
OpDef.Builder | clearControlOutput () Named control outputs for this operation. |
OpDef.Builder | clearDeprecation () Optional deprecation based on GraphDef versions. |
OpDef.Builder | clearDescription () Additional, longer human-readable description of what the Op does. |
OpDef.Builder | clearField (com.google.protobuf.Descriptors.FieldDescriptor alanı) |
OpDef.Builder | clearInputArg () Description of the input(s). |
OpDef.Builder | clearIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type. |
OpDef.Builder | clearIsDeğişmeli () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18; |
OpDef.Builder | clearIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. |
OpDef.Builder | clearName () Op names starting with an underscore are reserved for internal use. |
OpDef.Builder | clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof) |
OpDef.Builder | clearOutputArg () Description of the output(s). |
OpDef.Builder | temizleÖzet () One-line human-readable description of what the Op does. |
OpDef.Builder | klon () |
boolean | getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors. |
OpDef.AttrDef | getAttr (int dizini) repeated .tensorflow.OpDef.AttrDef attr = 4; |
OpDef.AttrDef.Builder | getAttrBuilder (int dizini) repeated .tensorflow.OpDef.AttrDef attr = 4; |
Liste< OpDef.AttrDef.Builder > | getAttrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4; |
int | getAttrCount () repeated .tensorflow.OpDef.AttrDef attr = 4; |
Liste< OpDef.AttrDef > | getAttrList () repeated .tensorflow.OpDef.AttrDef attr = 4; |
OpDef.AttrDefOrBuilder | getAttrOrBuilder (int dizini) repeated .tensorflow.OpDef.AttrDef attr = 4; |
Liste<? OpDef.AttrDefOrBuilder'ı genişletir > | getAttrOrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4; |
Sicim | getControlOutput (int dizini) Named control outputs for this operation. |
com.google.protobuf.ByteString | getControlOutputBytes (int dizini) Named control outputs for this operation. |
int | getControlOutputCount () Named control outputs for this operation. |
com.google.protobuf.ProtocolStringList | getControlOutputList () Named control outputs for this operation. |
OpDef | |
Operasyonun Kullanımdan Kaldırılması | getDeprecation () Optional deprecation based on GraphDef versions. |
OpDeprecation.Builder | getDeprecationBuilder () Optional deprecation based on GraphDef versions. |
OpDeprecationOrBuilder | getDeprecationOrBuilder () Optional deprecation based on GraphDef versions. |
Sicim | getDescription () Additional, longer human-readable description of what the Op does. |
com.google.protobuf.ByteString | getDescriptionBytes () Additional, longer human-readable description of what the Op does. |
final statik com.google.protobuf.Descriptors.Descriptor | |
com.google.protobuf.Descriptors.Descriptor | |
OpDef.ArgDef | getInputArg (int dizini) Description of the input(s). |
OpDef.ArgDef.Builder | getInputArgBuilder (int dizini) Description of the input(s). |
Liste< OpDef.ArgDef.Builder > | getInputArgBuilderList () Description of the input(s). |
int | getInputArgCount () Description of the input(s). |
Liste< OpDef.ArgDef > | getInputArgList () Description of the input(s). |
OpDef.ArgDefOrBuilder | getInputArgOrBuilder (int dizini) Description of the input(s). |
Liste<? OpDef.ArgDefOrBuilder'ı genişletir > | getInputArgOrBuilderList () Description of the input(s). |
boolean | getIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type. |
boolean | getIsCommutative () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18; |
boolean | getIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. |
Sicim | getName () Op names starting with an underscore are reserved for internal use. |
com.google.protobuf.ByteString | getNameBytes () Op names starting with an underscore are reserved for internal use. |
OpDef.ArgDef | getOutputArg (int dizini) Description of the output(s). |
OpDef.ArgDef.Builder | getOutputArgBuilder (int dizini) Description of the output(s). |
Liste< OpDef.ArgDef.Builder > | getOutputArgBuilderList () Description of the output(s). |
int | getOutputArgCount () Description of the output(s). |
Liste< OpDef.ArgDef > | getOutputArgList () Description of the output(s). |
OpDef.ArgDefOrBuilder | getOutputArgOrBuilder (int dizini) Description of the output(s). |
Liste<? OpDef.ArgDefOrBuilder'ı genişletir > | getOutputArgOrBuilderList () Description of the output(s). |
Sicim | getÖzet () 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. |
boolean | kullanımdan kaldırılma () Optional deprecation based on GraphDef versions. |
son boole değeri | Başlatıldı () |
OpDef.Builder | |
OpDef.Builder | mergeFrom (com.google.protobuf.Message other) |
OpDef.Builder | mergeFrom (com.google.protobuf.CodedInputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
son OpDef.Builder | mergeUnknownFields (com.google.protobuf.UnknownFieldSet bilinmiyorFields) |
OpDef.Builder | kaldırAttr (int dizini) repeated .tensorflow.OpDef.AttrDef attr = 4; |
OpDef.Builder | RemoveInputArg (int dizini) Description of the input(s). |
OpDef.Builder | RemoveOutputArg (int dizini) Description of the output(s). |
OpDef.Builder | setAllowsUninitializedInput (boolean değeri) By default, all inputs to an Op must be initialized Tensors. |
OpDef.Builder | |
OpDef.Builder | setAttr (int dizini, OpDef.AttrDef.Builder builderForValue) repeated .tensorflow.OpDef.AttrDef attr = 4; |
OpDef.Builder | setControlOutput (int dizini, Dize değeri) Named control outputs for this operation. |
OpDef.Builder | setDeprecation ( OpDeprecation.Builder builderForValue) Optional deprecation based on GraphDef versions. |
OpDef.Builder | |
OpDef.Builder | setDescription (Dize değeri) Additional, longer human-readable description of what the Op does. |
OpDef.Builder | setDescriptionBytes (com.google.protobuf.ByteString değeri) Additional, longer human-readable description of what the Op does. |
OpDef.Builder | setField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri) |
OpDef.Builder | |
OpDef.Builder | |
OpDef.Builder | setIsAggregate (boole değeri) If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type. |
OpDef.Builder | setIsCommutative (boole değeri) True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18; |
OpDef.Builder | setIsStateful (boole değeri) Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. |
OpDef.Builder | setName (Dize değeri) Op names starting with an underscore are reserved for internal use. |
OpDef.Builder | setNameBytes (com.google.protobuf.ByteString değeri) Op names starting with an underscore are reserved for internal use. |
OpDef.Builder | |
OpDef.Builder | |
OpDef.Builder | setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, int dizini, Nesne değeri) |
OpDef.Builder | setSummary (Dize değeri) One-line human-readable description of what the Op does. |
OpDef.Builder | setSummaryBytes (com.google.protobuf.ByteString değeri) One-line human-readable description of what the Op does. |
son OpDef.Builder | setUnknownFields (com.google.protobuf.UnknownFieldSet bilinmeyenFields) |
Kalıtsal Yöntemler
Genel Yöntemler
public OpDef.Builder addAllAttr (Yinelenebilir<?, OpDef.AttrDef > değerlerini genişletir)
repeated .tensorflow.OpDef.AttrDef attr = 4;
public OpDef.Builder addAllControlOutput (Yinelenebilir<String> değerleri)
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;
public OpDef.Builder addAllInputArg (Yinelenebilir<?, OpDef.ArgDef > değerlerini genişletir)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.Builder addAllOutputArg (Yinelenebilir<?, OpDef.ArgDef > değerlerini genişletir)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.Builder addAttr ( OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
public OpDef.Builder addAttr (int dizini, OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
public OpDef.Builder addAttr (int dizini, OpDef.AttrDef değeri)
repeated .tensorflow.OpDef.AttrDef attr = 4;
public OpDef.AttrDef.Builder addAttrBuilder (int dizini)
repeated .tensorflow.OpDef.AttrDef attr = 4;
public OpDef.Builder addControlOutput (Dize değeri)
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;
public OpDef.Builder addControlOutputBytes (com.google.protobuf.ByteString değeri)
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;
public OpDef.Builder addInputArg ( OpDef.ArgDef.Builder builderForValue)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.Builder addInputArg (int dizini, OpDef.ArgDef değeri)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.Builder addInputArg ( OpDef.ArgDef değeri)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.Builder addInputArg (int dizini, OpDef.ArgDef.Builder builderForValue)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
genel OpDef.ArgDef.Builder addInputArgBuilder ()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.ArgDef.Builder addInputArgBuilder (int dizini)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.Builder addOutputArg (int dizini, OpDef.ArgDef.Builder builderForValue)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.Builder addOutputArg ( OpDef.ArgDef.Builder builderForValue)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.Builder addOutputArg (int dizini, OpDef.ArgDef değeri)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.Builder addOutputArg ( OpDef.ArgDef değeri)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.ArgDef.Builder addOutputArgBuilder (int dizini)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
genel OpDef.ArgDef.Builder addOutputArgBuilder ()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, Nesne değeri)
public 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;
genel 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;
genel OpDef.Builder clearDeprecation ()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
genel OpDef.Builder clearDescription ()
Additional, longer human-readable description of what the Op does.
string description = 6;
genel OpDef.Builder clearInputArg ()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
genel 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;
genel OpDef.Builder clearIsCommutative ()
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
herkese açık 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;
genel OpDef.Builder clearName ()
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;
genel OpDef.Builder clearOutputArg ()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
genel OpDef.Builder clearSummary ()
One-line human-readable description of what the Op does.
string summary = 5;
genel boolean 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;
public OpDef.AttrDef.Builder getAttrBuilder (int dizini)
repeated .tensorflow.OpDef.AttrDef attr = 4;
genel Liste< OpDef.AttrDef.Builder > getAttrBuilderList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
genel int getAttrCount ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
public OpDef.AttrDefOrBuilder getAttrOrBuilder (int dizini)
repeated .tensorflow.OpDef.AttrDef attr = 4;
genel liste<? OpDef.AttrDefOrBuilder > getAttrOrBuilderList () öğesini genişletir
repeated .tensorflow.OpDef.AttrDef attr = 4;
public String getControlOutput (int dizini)
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;
public com.google.protobuf.ByteString getControlOutputBytes (int dizini)
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;
public 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;
public 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;
genel OpDeprecation getDeprecation ()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
herkese açık OpDeprecation.Builder getDeprecationBuilder ()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
herkese açık OpDeprecationOrBuilder getDeprecationOrBuilder ()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
genel Dize getDescription ()
Additional, longer human-readable description of what the Op does.
string description = 6;
public com.google.protobuf.ByteString getDescriptionBytes ()
Additional, longer human-readable description of what the Op does.
string description = 6;
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
public OpDef.ArgDef getInputArg (int dizini)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.ArgDef.Builder getInputArgBuilder (int dizini)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
genel Liste< OpDef.ArgDef.Builder > getInputArgBuilderList ()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
genel int getInputArgCount ()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
genel Liste< OpDef.ArgDef > getInputArgList ()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.ArgDefOrBuilder getInputArgOrBuilder (int dizini)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
genel liste<? OpDef.ArgDefOrBuilder'ı genişletir > getInputArgOrBuilderList ()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
genel boolean 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;
genel boolean getIsCommutative ()
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
genel boolean 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;
genel Dize 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;
public 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;
public OpDef.ArgDef getOutputArg (int dizini)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.ArgDef.Builder getOutputArgBuilder (int dizini)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
genel Liste< OpDef.ArgDef.Builder > getOutputArgBuilderList ()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public int getOutputArgCount ()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
genel Liste< OpDef.ArgDef > getOutputArgList ()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.ArgDefOrBuilder getOutputArgOrBuilder (int dizini)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
genel liste<? OpDef.ArgDefOrBuilder'ı genişletir > getOutputArgOrBuilderList ()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
genel Dize getSummary ()
One-line human-readable description of what the Op does.
string summary = 5;
public com.google.protobuf.ByteString getSummaryBytes ()
One-line human-readable description of what the Op does.
string summary = 5;
genel boolean hasDeprecation ()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
genel final boolean isInitialized ()
public OpDef.Builder mergeDeprecation ( OpDeprecation değeri)
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
genel OpDef.Builder mergeFrom (com.google.protobuf.CodedInputStream girişi, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Atar
IOİstisnası |
---|
public OpDef.Builder kaldırInputArg (int dizini)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.Builder kaldırOutputArg (int dizini)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.Builder setAllowsUninitializedInput (boolean değeri)
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;
public OpDef.Builder setAttr (int dizini, OpDef.AttrDef değeri)
repeated .tensorflow.OpDef.AttrDef attr = 4;
public OpDef.Builder setAttr (int dizini, OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
public OpDef.Builder setControlOutput (int dizini, Dize değeri)
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;
public OpDef.Builder setDeprecation ( OpDeprecation.Builder builderForValue)
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
public OpDef.Builder setDeprecation ( OpDeprecation değeri)
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
public OpDef.Builder setDescription (Dize değeri)
Additional, longer human-readable description of what the Op does.
string description = 6;
public OpDef.Builder setDescriptionBytes (com.google.protobuf.ByteString değeri)
Additional, longer human-readable description of what the Op does.
string description = 6;
public OpDef.Builder setInputArg (int dizini, OpDef.ArgDef değeri)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.Builder setInputArg (int dizini, OpDef.ArgDef.Builder builderForValue)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.Builder setIsAggregate (boolean değeri)
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;
public OpDef.Builder setIsCommutative (boole değeri)
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
public OpDef.Builder setIsStateful (boole değeri)
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;
public OpDef.Builder setName (Dize değeri)
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;
public OpDef.Builder setNameBytes (com.google.protobuf.ByteString değeri)
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;
public OpDef.Builder setOutputArg (int dizini, OpDef.ArgDef değeri)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.Builder setOutputArg (int dizini, OpDef.ArgDef.Builder builderForValue)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor alanı, int dizini, Nesne değeri)
public OpDef.Builder setSummary (Dize değeri)
One-line human-readable description of what the Op does.
string summary = 5;
public OpDef.Builder setSummaryBytes (com.google.protobuf.ByteString değeri)
One-line human-readable description of what the Op does.
string summary = 5;