Package org.tensorflow.framework

Interface OpDefOrBuilder

  • All Superinterfaces:
    org.nd4j.shade.protobuf.MessageLiteOrBuilder, org.nd4j.shade.protobuf.MessageOrBuilder
    All Known Implementing Classes:
    OpDef, OpDef.Builder
    public interface OpDefOrBuilder
extends org.nd4j.shade.protobuf.MessageOrBuilder

    • Method Detail

      • 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

        org.nd4j.shade.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;
        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;

      • 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

        org.nd4j.shade.protobuf.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

        org.nd4j.shade.protobuf.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.