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OpDefOrBuilder

antarmuka publik OpDefOrBuilder

Subkelas Tidak Langsung yang Diketahui

Metode Publik

boolean abstrak	getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors.
abstrak OpDef.AttrDef	getAttr (indeks int) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
abstrak ke dalam	dapatkanAttrCount () `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Daftar abstrak< OpDef.AttrDef >	dapatkanAttrList () `repeated .tensorflow.OpDef.AttrDef attr = 4;`
abstrak OpDef.AttrDefOrBuilder	getAttrOrBuilder (indeks int) `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Daftar abstrak<? memperluas OpDef.AttrDefOrBuilder >	dapatkanAttrOrBuilderList () `repeated .tensorflow.OpDef.AttrDef attr = 4;`
Tali abstrak	getControlOutput (indeks int) Named control outputs for this operation.
abstrak com.google.protobuf.ByteString	getControlOutputBytes (indeks int) Named control outputs for this operation.
abstrak ke dalam	dapatkanControlOutputCount () Named control outputs for this operation.
Daftar abstrak<String>	dapatkanControlOutputList () Named control outputs for this operation.
OpDeprecation abstrak	dapatkan Penghentian () Optional deprecation based on GraphDef versions.
abstrak OpDeprecationOrBuilder	dapatkanDeprecationOrBuilder () Optional deprecation based on GraphDef versions.
Tali abstrak	dapatkanDeskripsi () Additional, longer human-readable description of what the Op does.
abstrak com.google.protobuf.ByteString	dapatkanDeskripsiBytes () Additional, longer human-readable description of what the Op does.
abstrak OpDef.ArgDef	getInputArg (indeks int) Description of the input(s).
abstrak ke dalam	dapatkanInputArgCount () Description of the input(s).
Daftar abstrak< OpDef.ArgDef >	dapatkanInputArgList () Description of the input(s).
abstrak OpDef.ArgDefOrBuilder	getInputArgOrBuilder (indeks int) Description of the input(s).
Daftar abstrak<? memperluas OpDef.ArgDefOrBuilder >	dapatkanInputArgOrBuilderList () Description of the input(s).
boolean abstrak	getIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
boolean abstrak	getIsCommutative () True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs) `bool is_commutative = 18;`
boolean abstrak	getIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g.
Tali abstrak	dapatkan Nama () Op names starting with an underscore are reserved for internal use.
abstrak com.google.protobuf.ByteString	dapatkanNamaBytes () Op names starting with an underscore are reserved for internal use.
abstrak OpDef.ArgDef	getOutputArg (indeks int) Description of the output(s).
abstrak ke dalam	dapatkanOutputArgCount () Description of the output(s).
Daftar abstrak< OpDef.ArgDef >	dapatkanOutputArgList () Description of the output(s).
abstrak OpDef.ArgDefOrBuilder	getOutputArgOrBuilder (indeks int) Description of the output(s).
Daftar abstrak<? memperluas OpDef.ArgDefOrBuilder >	dapatkanOutputArgOrBuilderList () Description of the output(s).
Tali abstrak	dapatkan Ringkasan () One-line human-readable description of what the Op does.
abstrak com.google.protobuf.ByteString	dapatkanSummaryBytes () One-line human-readable description of what the Op does.
boolean abstrak	sudah tidak digunakan lagi () Optional deprecation based on GraphDef versions.

Metode Publik

boolean abstrak publik 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;

abstrak publik OpDef.AttrDef getAttr (indeks int)

repeated .tensorflow.OpDef.AttrDef attr = 4;

abstrak publik int getAttrCount ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

Daftar abstrak publik< OpDef.AttrDef > getAttrList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

abstrak publik OpDef.AttrDefOrBuilder getAttrOrBuilder (int indeks)

repeated .tensorflow.OpDef.AttrDef attr = 4;

Daftar abstrak publik<? memperluas OpDef.AttrDefOrBuilder > getAttrOrBuilderList ()

repeated .tensorflow.OpDef.AttrDef attr = 4;

String abstrak publik getControlOutput (indeks int)

 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;

abstrak publik com.google.protobuf.ByteString getControlOutputBytes (indeks int)

 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;

abstrak publik 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;

Daftar abstrak publik<String> 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;

abstrak publik OpDeprecation getDeprecation ()

 Optional deprecation based on GraphDef versions.

.tensorflow.OpDeprecation deprecation = 8;

abstrak publik OpDeprecationOrBuilder getDeprecationOrBuilder ()

 Optional deprecation based on GraphDef versions.

.tensorflow.OpDeprecation deprecation = 8;

abstrak publik String getDescription ()

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

string description = 6;

abstrak publik com.google.protobuf.ByteString getDescriptionBytes ()

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

string description = 6;

abstrak publik OpDef.ArgDef getInputArg (indeks int)

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

abstrak publik int getInputArgCount ()

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

Daftar abstrak publik< OpDef.ArgDef > getInputArgList ()

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

abstrak publik OpDef.ArgDefOrBuilder getInputArgOrBuilder (int indeks)

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

Daftar abstrak publik<? memperluas OpDef.ArgDefOrBuilder > getInputArgOrBuilderList ()

 Description of the input(s).

repeated .tensorflow.OpDef.ArgDef input_arg = 2;

boolean abstrak publik 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;

boolean abstrak publik getIsCommutative ()

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

bool is_commutative = 18;

boolean abstrak publik 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;

abstrak publik 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;

abstrak publik 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;