Interface OpDefOrBuilder

All Superinterfaces:
MessageLiteOrBuilder, MessageOrBuilder
All Known Implementing Classes:
OpDef, OpDef.Builder
public interface OpDefOrBuilder extends MessageOrBuilder

  • Method Details

    • getName

      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;
      Returns:
      The name.

    • getNameBytes

      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;
      Returns:
      The bytes for name.

    • getInputArgList

      List<OpDef.ArgDef> getInputArgList()
      Description of the input(s).
      repeated .tensorflow.OpDef.ArgDef input_arg = 2;

    • getInputArg

      OpDef.ArgDef getInputArg(int index)
      Description of the input(s).
      repeated .tensorflow.OpDef.ArgDef input_arg = 2;

    • getInputArgCount

      int getInputArgCount()
      Description of the input(s).
      repeated .tensorflow.OpDef.ArgDef input_arg = 2;

    • getInputArgOrBuilderList

      List<? extends OpDef.ArgDefOrBuilder> getInputArgOrBuilderList()
      Description of the input(s).
      repeated .tensorflow.OpDef.ArgDef input_arg = 2;

    • getInputArgOrBuilder

      OpDef.ArgDefOrBuilder getInputArgOrBuilder(int index)
      Description of the input(s).
      repeated .tensorflow.OpDef.ArgDef input_arg = 2;

    • getOutputArgList

      List<OpDef.ArgDef> getOutputArgList()
      Description of the output(s).
      repeated .tensorflow.OpDef.ArgDef output_arg = 3;

    • getOutputArg

      OpDef.ArgDef getOutputArg(int index)
      Description of the output(s).
      repeated .tensorflow.OpDef.ArgDef output_arg = 3;

    • getOutputArgCount

      int getOutputArgCount()
      Description of the output(s).
      repeated .tensorflow.OpDef.ArgDef output_arg = 3;

    • getOutputArgOrBuilderList

      List<? extends OpDef.ArgDefOrBuilder> getOutputArgOrBuilderList()
      Description of the output(s).
      repeated .tensorflow.OpDef.ArgDef output_arg = 3;

    • getOutputArgOrBuilder

      OpDef.ArgDefOrBuilder getOutputArgOrBuilder(int index)
      Description of the output(s).
      repeated .tensorflow.OpDef.ArgDef output_arg = 3;

    • getControlOutputList

      List<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;
      Returns:
      A list containing the controlOutput.

    • getControlOutputCount

      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;
      Returns:
      The count of controlOutput.

    • getControlOutput

      String getControlOutput(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;
      Parameters:
      index - The index of the element to return.
      Returns:
      The controlOutput at the given index.

    • getControlOutputBytes

      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;
      Parameters:
      index - The index of the value to return.
      Returns:
      The bytes of the controlOutput at the given index.

    • getAttrList

      List<OpDef.AttrDef> getAttrList()
      repeated .tensorflow.OpDef.AttrDef attr = 4;

    • getAttr

      OpDef.AttrDef getAttr(int index)
      repeated .tensorflow.OpDef.AttrDef attr = 4;

    • getAttrCount

      int getAttrCount()
      repeated .tensorflow.OpDef.AttrDef attr = 4;

    • getAttrOrBuilderList

      List<? extends OpDef.AttrDefOrBuilder> getAttrOrBuilderList()
      repeated .tensorflow.OpDef.AttrDef attr = 4;

    • getAttrOrBuilder

      OpDef.AttrDefOrBuilder getAttrOrBuilder(int index)
      repeated .tensorflow.OpDef.AttrDef attr = 4;

    • hasDeprecation

      boolean hasDeprecation()
      Optional deprecation based on GraphDef versions.
      .tensorflow.OpDeprecation deprecation = 8;
      Returns:
      Whether the deprecation field is set.

    • getDeprecation

      OpDeprecation getDeprecation()
      Optional deprecation based on GraphDef versions.
      .tensorflow.OpDeprecation deprecation = 8;
      Returns:
      The deprecation.

    • getDeprecationOrBuilder

      OpDeprecationOrBuilder getDeprecationOrBuilder()
      Optional deprecation based on GraphDef versions.
      .tensorflow.OpDeprecation deprecation = 8;

    • getSummary

      String getSummary()
      One-line human-readable description of what the Op does.
      string summary = 5;
      Returns:
      The summary.

    • getSummaryBytes

      ByteString getSummaryBytes()
      One-line human-readable description of what the Op does.
      string summary = 5;
      Returns:
      The bytes for summary.

    • getDescription

      String getDescription()
      Additional, longer human-readable description of what the Op does.
      string description = 6;
      Returns:
      The description.

    • getDescriptionBytes

      ByteString getDescriptionBytes()
      Additional, longer human-readable description of what the Op does.
      string description = 6;
      Returns:
      The bytes for description.

    • getIsCommutative

      boolean getIsCommutative()
      True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
      bool is_commutative = 18;
      Returns:
      The isCommutative.

    • getIsAggregate

      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;
      Returns:
      The isAggregate.

    • getIsStateful

      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;
      Returns:
      The isStateful.

    • getAllowsUninitializedInput

      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;
      Returns:
      The allowsUninitializedInput.

    • getIsDistributedCommunication

      boolean getIsDistributedCommunication()
      Indicates whether the op implementation uses distributed communication.
If True, the op is allowed to return errors for network disconnection and
trigger TF network failure handling logics.
      bool is_distributed_communication = 21;
      Returns:
      The isDistributedCommunication.