interface pública OpDefOrBuilder
| Subclasses indiretas conhecidas |
Métodos Públicos
| booleano abstrato | getAllowsUninitializedInput () By default, all inputs to an Op must be initialized Tensors. |
| OpDef.AttrDef abstrato | getAttr (índice interno) repeated .tensorflow.OpDef.AttrDef attr = 4; |
| abstrato int | getAttrCount () repeated .tensorflow.OpDef.AttrDef attr = 4; |
| Lista abstrata< OpDef.AttrDef > | getAttrList () repeated .tensorflow.OpDef.AttrDef attr = 4; |
| OpDef.AttrDefOrBuilder abstrato | getAttrOrBuilder (índice interno) repeated .tensorflow.OpDef.AttrDef attr = 4; |
| lista abstrata<? estende OpDef.AttrDefOrBuilder > | getAttrOrBuilderList () repeated .tensorflow.OpDef.AttrDef attr = 4; |
| cadeia abstrata | getControlOutput (índice interno) Named control outputs for this operation. |
| abstrato com.google.protobuf.ByteString | getControlOutputBytes (índice interno) Named control outputs for this operation. |
| abstrato int | getControlOutputCount () Named control outputs for this operation. |
| lista abstrata<String> | getControlOutputList () Named control outputs for this operation. |
| OpDeprecation abstrato | getDeprecation () Optional deprecation based on GraphDef versions. |
| OpDeprecationOrBuilder abstrato | getDeprecationOrBuilder () Optional deprecation based on GraphDef versions. |
| cadeia abstrata | getDescrição () Additional, longer human-readable description of what the Op does. |
| abstrato com.google.protobuf.ByteString | getDescriptionBytes () Additional, longer human-readable description of what the Op does. |
| OpDef.ArgDef abstrato | getInputArg (índice interno) Description of the input(s). |
| abstrato int | getInputArgCount () Description of the input(s). |
| Lista abstrata< OpDef.ArgDef > | getInputArgList () Description of the input(s). |
| OpDef.ArgDefOrBuilder abstrato | getInputArgOrBuilder (índice interno) Description of the input(s). |
| lista abstrata<? estende OpDef.ArgDefOrBuilder > | getInputArgOrBuilderList () Description of the input(s). |
| booleano abstrato | getIsAggregate () If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type. |
| booleano abstrato | getIsCommutative ()
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18; |
| booleano abstrato | getIsStateful () Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. |
| cadeia abstrata | getNome () Op names starting with an underscore are reserved for internal use. |
| abstrato com.google.protobuf.ByteString | getNomeBytes () Op names starting with an underscore are reserved for internal use. |
| OpDef.ArgDef abstrato | getOutputArg (índice interno) Description of the output(s). |
| abstrato int | getOutputArgCount () Description of the output(s). |
| Lista abstrata< OpDef.ArgDef > | getOutputArgList () Description of the output(s). |
| OpDef.ArgDefOrBuilder abstrato | getOutputArgOrBuilder (índice interno) Description of the output(s). |
| lista abstrata<? estende OpDef.ArgDefOrBuilder > | getOutputArgOrBuilderList () Description of the output(s). |
| cadeia abstrata | obter Resumo () One-line human-readable description of what the Op does. |
| abstrato com.google.protobuf.ByteString | getSummaryBytes () One-line human-readable description of what the Op does. |
| booleano abstrato | hasDeprecation () Optional deprecation based on GraphDef versions. |
Métodos Públicos
público abstrato booleano 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; resumo público int getAttrCount ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
resumo público OpDef.AttrDefOrBuilder getAttrOrBuilder (índice int)
repeated .tensorflow.OpDef.AttrDef attr = 4;
lista abstrata pública<? estende OpDef.AttrDefOrBuilder > getAttrOrBuilderList ()
repeated .tensorflow.OpDef.AttrDef attr = 4;
string abstrata pública getControlOutput (índice 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; resumo público com.google.protobuf.ByteString getControlOutputBytes (índice 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; público abstrato 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; lista abstrata pública<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; público abstrato OpDeprecation getDeprecation ()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8; público abstrato OpDeprecationOrBuilder getDeprecationOrBuilder ()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8; String abstrata pública getDescription ()
Additional, longer human-readable description of what the Op does.
string description = 6; resumo público com.google.protobuf.ByteString getDescriptionBytes ()
descrição da string
Additional, longer human-readable description of what the Op does.
string description = 6; resumo público OpDef.ArgDef getInputArg (índice int)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2; público abstrato int getInputArgCount ()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2; lista abstrata pública< OpDef.ArgDef > getInputArgList ()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2; resumo público OpDef.ArgDefOrBuilder getInputArgOrBuilder (índice int)
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2; lista abstrata pública<? estende OpDef.ArgDefOrBuilder > getInputArgOrBuilderList ()
Description of the input(s).
repeated .tensorflow.OpDef.ArgDef input_arg = 2; público abstrato booleano 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; público abstrato booleano getIsCommutative ()
True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
bool is_commutative = 18; público abstrato booleano 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; String abstrata pública 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; resumo público 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; resumo público OpDef.ArgDef getOutputArg (índice int)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3; público abstrato int getOutputArgCount ()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3; Lista abstrata pública< OpDef.ArgDef > getOutputArgList ()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3; resumo público OpDef.ArgDefOrBuilder getOutputArgOrBuilder (índice int)
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3; lista abstrata pública<? estende OpDef.ArgDefOrBuilder > getOutputArgOrBuilderList ()
Description of the output(s).
repeated .tensorflow.OpDef.ArgDef output_arg = 3; String abstrata pública getSummary ()
resumo da string
One-line human-readable description of what the Op does.
string summary = 5; resumo público com.google.protobuf.ByteString getSummaryBytes ()
resumo da string
One-line human-readable description of what the Op does.
string summary = 5; público abstrato booleano hasDeprecation ()
Optional deprecation based on GraphDef versions.
.tensorflow.OpDeprecation deprecation = 8;