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
tipo tensorflow.OpDef
Métodos Públicos
OpDef.Builder | addAllAttr (Iterable <? extends OpDef.AttrDef > valores) repeated .tensorflow.OpDef.AttrDef attr = 4; |
OpDef.Builder | addAllControlOutput (valores Iterable <String>) Named control outputs for this operation. |
OpDef.Builder | |
OpDef.Builder | |
OpDef.Builder | |
OpDef.Builder | addAttr (índice int, 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 | |
OpDef.Builder | addControlOutput (valor String) Named control outputs for this operation. |
OpDef.Builder | addControlOutputBytes (com.google.protobuf.ByteString value) 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 | |
OpDef.Builder | |
OpDef.Builder | |
OpDef.Builder | |
OpDef.Builder | |
OpDef.ArgDef.Builder | |
OpDef.ArgDef.Builder | addOutputArgBuilder () Description of the output(s). |
OpDef.Builder | addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto) |
OpDef | build () |
OpDef | buildPartial () |
OpDef.Builder | limpar () |
OpDef.Builder | clearAllowsUninitializedInput () 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 (campo com.google.protobuf.Descriptors.FieldDescriptor) |
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 | clearIsCommutative () 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 | clearSummary () One-line human-readable description of what the Op does. |
OpDef.Builder | clone () |
boleano | getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors. |
OpDef.AttrDef | getAttr (índice int) repeated .tensorflow.OpDef.AttrDef attr = 4; |
OpDef.AttrDef.Builder | |
List < OpDef.AttrDef.Builder > | getAttrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4; |
int | getAttrCount () repeated .tensorflow.OpDef.AttrDef attr = 4; |
Lista < OpDef.AttrDef > | getAttrList () repeated .tensorflow.OpDef.AttrDef attr = 4; |
OpDef.AttrDefOrBuilder | |
Lista <? estende OpDef.AttrDefOrBuilder > | getAttrOrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4; |
Fragmento | |
com.google.protobuf.ByteString | |
int | getControlOutputCount () Named control outputs for this operation. |
com.google.protobuf.ProtocolStringList | getControlOutputList () Named control outputs for this operation. |
OpDef | |
OpDeprecation | getDeprecation () Optional deprecation based on GraphDef versions. |
OpDeprecation.Builder | getDeprecationBuilder () Optional deprecation based on GraphDef versions. |
OpDeprecationOrBuilder | getDeprecationOrBuilder () Optional deprecation based on GraphDef versions. |
Fragmento | 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 static com.google.protobuf.Descriptors.Descriptor | |
com.google.protobuf.Descriptors.Descriptor | |
OpDef.ArgDef | getInputArg (int index) Description of the input(s). |
OpDef.ArgDef.Builder | |
List < OpDef.ArgDef.Builder > | getInputArgBuilderList () Description of the input(s). |
int | getInputArgCount () Description of the input(s). |
Lista < OpDef.ArgDef > | getInputArgList () Description of the input(s). |
OpDef.ArgDefOrBuilder | |
Lista <? estende OpDef.ArgDefOrBuilder > | getInputArgOrBuilderList () Description of the input(s). |
boleano | getIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type. |
boleano | getIsCommutative () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18; |
boleano | getIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. |
Fragmento | 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 index) Description of the output(s). |
OpDef.ArgDef.Builder | getOutputArgBuilder (índice int) Description of the output(s). |
List < OpDef.ArgDef.Builder > | getOutputArgBuilderList () Description of the output(s). |
int | getOutputArgCount () Description of the output(s). |
Lista < OpDef.ArgDef > | getOutputArgList () Description of the output(s). |
OpDef.ArgDefOrBuilder | |
Lista <? estende OpDef.ArgDefOrBuilder > | getOutputArgOrBuilderList () Description of the output(s). |
Fragmento | getSummary () 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. |
boleano | hasDeprecation () Optional deprecation based on GraphDef versions. |
final booleano | |
OpDef.Builder | |
OpDef.Builder | mergeFrom (com.google.protobuf.Message other) |
OpDef.Builder | mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
OpDef.Builder final | mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields) |
OpDef.Builder | |
OpDef.Builder | |
OpDef.Builder | removeOutputArg (int index) Description of the output(s). |
OpDef.Builder | setAllowsUninitializedInput (valor booleano) By default, all inputs to an Op must be initialized Tensors. |
OpDef.Builder | |
OpDef.Builder | setAttr (int index, OpDef.AttrDef.Builder builderForValue) repeated .tensorflow.OpDef.AttrDef attr = 4; |
OpDef.Builder | setControlOutput (int index, String value) Named control outputs for this operation. |
OpDef.Builder | setDeprecation ( OpDeprecation.Builder builderForValue) Optional deprecation based on GraphDef versions. |
OpDef.Builder | |
OpDef.Builder | setDescription (valor String) Additional, longer human-readable description of what the Op does. |
OpDef.Builder | setDescriptionBytes (com.google.protobuf.ByteString value) Additional, longer human-readable description of what the Op does. |
OpDef.Builder | setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto) |
OpDef.Builder | |
OpDef.Builder | |
OpDef.Builder | setIsAggregate (valor booleano) If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type. |
OpDef.Builder | setIsCommutative (valor booleano) True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) bool is_commutative = 18; |
OpDef.Builder | setIsStateful (valor booleano) Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. |
OpDef.Builder | setName (valor String) Op names starting with an underscore are reserved for internal use. |
OpDef.Builder | setNameBytes (com.google.protobuf.ByteString value) Op names starting with an underscore are reserved for internal use. |
OpDef.Builder | |
OpDef.Builder | |
OpDef.Builder | setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor do objeto) |
OpDef.Builder | setSummary (valor String) One-line human-readable description of what the Op does. |
OpDef.Builder | setSummaryBytes (com.google.protobuf.ByteString value) One-line human-readable description of what the Op does. |
OpDef.Builder final | setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields) |
Métodos herdados
Métodos Públicos
public OpDef.Builder addAllAttr (Iterable <? extends OpDef.AttrDef > values)
repeated .tensorflow.OpDef.AttrDef attr = 4;
public OpDef.Builder addAllControlOutput (Iterable <String> values)
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 (Iterable <? extends OpDef.ArgDef > values)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.Builder addAllOutputArg (Iterable <? extends OpDef.ArgDef > valores)
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 index, OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
public OpDef.Builder addAttr (índice int, valor OpDef.AttrDef )
repeated .tensorflow.OpDef.AttrDef attr = 4;
public OpDef.AttrDef.Builder addAttrBuilder (índice interno )
repeated .tensorflow.OpDef.AttrDef attr = 4;
public OpDef.Builder addControlOutput (String value)
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 value)
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 index, OpDef.ArgDef value)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.Builder addInputArg (valor OpDef.ArgDef )
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.Builder addInputArg (int index, OpDef.ArgDef.Builder builderForValue)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.ArgDef.Builder addInputArgBuilder ()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.ArgDef.Builder addInputArgBuilder (índice interno )
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.Builder addOutputArg (int index, 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 index, OpDef.ArgDef value)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.Builder addOutputArg (valor OpDef.ArgDef )
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.ArgDef.Builder addOutputArgBuilder (índice interno )
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.ArgDef.Builder addOutputArgBuilder ()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.Builder addRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
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;
public 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;
public OpDef.Builder clearDeprecation ()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
public OpDef.Builder clearDescription ()
Additional, longer human-readable description of what the Op does.
string description = 6;
public OpDef.Builder clearInputArg ()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public 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;
public OpDef.Builder clearIsCommutative ()
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
public 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;
public 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;
public OpDef.Builder clearOutputArg ()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.Builder clearSummary ()
One-line human-readable description of what the Op does.
string summary = 5;
public 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 (índice interno )
repeated .tensorflow.OpDef.AttrDef attr = 4;
Lista pública < OpDef.AttrDef.Builder > getAttrBuilderList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
public int getAttrCount ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
public OpDef.AttrDefOrBuilder getAttrOrBuilder (índice interno )
repeated .tensorflow.OpDef.AttrDef attr = 4;
Lista pública <? estende OpDef.AttrDefOrBuilder > getAttrOrBuilderList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
public String getControlOutput (índice interno )
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 index)
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;
public OpDeprecation getDeprecation ()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
public OpDeprecation.Builder getDeprecationBuilder ()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
public OpDeprecationOrBuilder getDeprecationOrBuilder ()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
public String 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 index)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.ArgDef.Builder getInputArgBuilder (índice interno )
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
Lista pública < OpDef.ArgDef.Builder > getInputArgBuilderList ()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public int getInputArgCount ()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
Lista pública < OpDef.ArgDef > getInputArgList ()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.ArgDefOrBuilder getInputArgOrBuilder (índice interno )
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
Lista pública <? estende OpDef.ArgDefOrBuilder > getInputArgOrBuilderList ()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public 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;
public boolean getIsCommutative ()
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
public 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;
public String 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 index)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.ArgDef.Builder getOutputArgBuilder (índice interno )
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public List < 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;
public List < OpDef.ArgDef > getOutputArgList ()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.ArgDefOrBuilder getOutputArgOrBuilder (índice interno )
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
Lista pública <? estende OpDef.ArgDefOrBuilder > getOutputArgOrBuilderList ()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public String 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;
public boolean hasDeprecation ()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
public final boolean isInitialized ()
public OpDef.Builder mergeDeprecation (valor OpDeprecation )
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
public OpDef.Builder mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lança
IOException |
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public OpDef.Builder removeInputArg (índice interno )
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.Builder removeOutputArg (índice interno )
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.Builder setAllowsUninitializedInput (valor booleano)
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 (índice int, valor OpDef.AttrDef )
repeated .tensorflow.OpDef.AttrDef attr = 4;
public OpDef.Builder setAttr (int index, OpDef.AttrDef.Builder builderForValue)
repeated .tensorflow.OpDef.AttrDef attr = 4;
public OpDef.Builder setControlOutput (int index, String value)
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 (valor OpDeprecation )
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;
public OpDef.Builder setDescription (String value)
Additional, longer human-readable description of what the Op does.
string description = 6;
public OpDef.Builder setDescriptionBytes (com.google.protobuf.ByteString value)
Additional, longer human-readable description of what the Op does.
string description = 6;
public OpDef.Builder setField (campo com.google.protobuf.Descriptors.FieldDescriptor, valor do objeto)
public OpDef.Builder setInputArg (int index, OpDef.ArgDef value)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.Builder setInputArg (int index, OpDef.ArgDef.Builder builderForValue)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2;
public OpDef.Builder setIsAggregate (valor booleano)
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 (valor booleano)
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18;
public OpDef.Builder setIsStateful (valor booleano)
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;
pública OpDef.Builder setName (String value)
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 value)
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 index, OpDef.ArgDef value)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.Builder setOutputArg (int index, OpDef.ArgDef.Builder builderForValue)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3;
public OpDef.Builder setRepeatedField (campo com.google.protobuf.Descriptors.FieldDescriptor, índice int, valor do objeto)
public OpDef.Builder setSummary (String value)
One-line human-readable description of what the Op does.
string summary = 5;
public OpDef.Builder setSummaryBytes (com.google.protobuf.ByteString value)
One-line human-readable description of what the Op does.
string summary = 5;