Interface NodeDefOrBuilder

  • All Superinterfaces:
    org.nd4j.shade.protobuf.MessageLiteOrBuilder, org.nd4j.shade.protobuf.MessageOrBuilder
    All Known Implementing Classes:
    NodeDef, NodeDef.Builder

    public interface NodeDefOrBuilder
    extends org.nd4j.shade.protobuf.MessageOrBuilder
    • Method Summary

      All Methods Instance Methods Abstract Methods Deprecated Methods 
      Modifier and Type Method Description
      boolean containsAttr​(String key)
      Operation-specific graph-construction-time configuration.
      Map<String,​AttrValue> getAttr()
      Deprecated.
      int getAttrCount()
      Operation-specific graph-construction-time configuration.
      Map<String,​AttrValue> getAttrMap()
      Operation-specific graph-construction-time configuration.
      AttrValue getAttrOrDefault​(String key, AttrValue defaultValue)
      Operation-specific graph-construction-time configuration.
      AttrValue getAttrOrThrow​(String key)
      Operation-specific graph-construction-time configuration.
      String getDevice()
      A (possibly partial) specification for the device on which this node should be placed.
      org.nd4j.shade.protobuf.ByteString getDeviceBytes()
      A (possibly partial) specification for the device on which this node should be placed.
      String getInput​(int index)
      Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
      org.nd4j.shade.protobuf.ByteString getInputBytes​(int index)
      Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
      int getInputCount()
      Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
      List<String> getInputList()
      Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
      String getName()
      The name given to this operator.
      org.nd4j.shade.protobuf.ByteString getNameBytes()
      The name given to this operator.
      String getOp()
      The operation name.
      org.nd4j.shade.protobuf.ByteString getOpBytes()
      The operation name.
      • Methods inherited from interface org.nd4j.shade.protobuf.MessageLiteOrBuilder

        isInitialized
      • Methods inherited from interface org.nd4j.shade.protobuf.MessageOrBuilder

        findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
    • Method Detail

      • getName

        String getName()
         The name given to this operator. Used for naming inputs,
         logging, visualization, etc.  Unique within a single GraphDef.
         Must match the regexp "[A-Za-z0-9.][A-Za-z0-9_./]*".
         
        string name = 1;
        Returns:
        The name.
      • getNameBytes

        org.nd4j.shade.protobuf.ByteString getNameBytes()
         The name given to this operator. Used for naming inputs,
         logging, visualization, etc.  Unique within a single GraphDef.
         Must match the regexp "[A-Za-z0-9.][A-Za-z0-9_./]*".
         
        string name = 1;
        Returns:
        The bytes for name.
      • getOp

        String getOp()
         The operation name.  There may be custom parameters in attrs.
         Op names starting with an underscore are reserved for internal use.
         
        string op = 2;
        Returns:
        The op.
      • getOpBytes

        org.nd4j.shade.protobuf.ByteString getOpBytes()
         The operation name.  There may be custom parameters in attrs.
         Op names starting with an underscore are reserved for internal use.
         
        string op = 2;
        Returns:
        The bytes for op.
      • getInputList

        List<String> getInputList()
         Each input is "node:src_output" with "node" being a string name and
         "src_output" indicating which output tensor to use from "node". If
         "src_output" is 0 the ":0" suffix can be omitted.  Regular inputs
         may optionally be followed by control inputs that have the format
         "^node".
         
        repeated string input = 3;
        Returns:
        A list containing the input.
      • getInputCount

        int getInputCount()
         Each input is "node:src_output" with "node" being a string name and
         "src_output" indicating which output tensor to use from "node". If
         "src_output" is 0 the ":0" suffix can be omitted.  Regular inputs
         may optionally be followed by control inputs that have the format
         "^node".
         
        repeated string input = 3;
        Returns:
        The count of input.
      • getInput

        String getInput​(int index)
         Each input is "node:src_output" with "node" being a string name and
         "src_output" indicating which output tensor to use from "node". If
         "src_output" is 0 the ":0" suffix can be omitted.  Regular inputs
         may optionally be followed by control inputs that have the format
         "^node".
         
        repeated string input = 3;
        Parameters:
        index - The index of the element to return.
        Returns:
        The input at the given index.
      • getInputBytes

        org.nd4j.shade.protobuf.ByteString getInputBytes​(int index)
         Each input is "node:src_output" with "node" being a string name and
         "src_output" indicating which output tensor to use from "node". If
         "src_output" is 0 the ":0" suffix can be omitted.  Regular inputs
         may optionally be followed by control inputs that have the format
         "^node".
         
        repeated string input = 3;
        Parameters:
        index - The index of the value to return.
        Returns:
        The bytes of the input at the given index.
      • getDevice

        String getDevice()
         A (possibly partial) specification for the device on which this
         node should be placed.
         The expected syntax for this string is as follows:
         DEVICE_SPEC ::= PARTIAL_SPEC
         PARTIAL_SPEC ::= ("/" CONSTRAINT) *
         CONSTRAINT ::= ("job:" JOB_NAME)
                      | ("replica:" [1-9][0-9]*)
                      | ("task:" [1-9][0-9]*)
                      | ("device:" [A-Za-z]* ":" ([1-9][0-9]* | "*") )
         Valid values for this string include:
         * "/job:worker/replica:0/task:1/device:GPU:3"  (full specification)
         * "/job:worker/device:GPU:3"                   (partial specification)
         * ""                                    (no specification)
         If the constraints do not resolve to a single device (or if this
         field is empty or not present), the runtime will attempt to
         choose a device automatically.
         
        string device = 4;
        Returns:
        The device.
      • getDeviceBytes

        org.nd4j.shade.protobuf.ByteString getDeviceBytes()
         A (possibly partial) specification for the device on which this
         node should be placed.
         The expected syntax for this string is as follows:
         DEVICE_SPEC ::= PARTIAL_SPEC
         PARTIAL_SPEC ::= ("/" CONSTRAINT) *
         CONSTRAINT ::= ("job:" JOB_NAME)
                      | ("replica:" [1-9][0-9]*)
                      | ("task:" [1-9][0-9]*)
                      | ("device:" [A-Za-z]* ":" ([1-9][0-9]* | "*") )
         Valid values for this string include:
         * "/job:worker/replica:0/task:1/device:GPU:3"  (full specification)
         * "/job:worker/device:GPU:3"                   (partial specification)
         * ""                                    (no specification)
         If the constraints do not resolve to a single device (or if this
         field is empty or not present), the runtime will attempt to
         choose a device automatically.
         
        string device = 4;
        Returns:
        The bytes for device.
      • getAttrCount

        int getAttrCount()
         Operation-specific graph-construction-time configuration.
         Note that this should include all attrs defined in the
         corresponding OpDef, including those with a value matching
         the default -- this allows the default to change and makes
         NodeDefs easier to interpret on their own.  However, if
         an attr with a default is not specified in this list, the
         default will be used.
         The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and
         one of the names from the corresponding OpDef's attr field).
         The values must have a type matching the corresponding OpDef
         attr's type field.
         TODO(josh11b): Add some examples here showing best practices.
         
        map<string, .tensorflow.AttrValue> attr = 5;
      • containsAttr

        boolean containsAttr​(String key)
         Operation-specific graph-construction-time configuration.
         Note that this should include all attrs defined in the
         corresponding OpDef, including those with a value matching
         the default -- this allows the default to change and makes
         NodeDefs easier to interpret on their own.  However, if
         an attr with a default is not specified in this list, the
         default will be used.
         The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and
         one of the names from the corresponding OpDef's attr field).
         The values must have a type matching the corresponding OpDef
         attr's type field.
         TODO(josh11b): Add some examples here showing best practices.
         
        map<string, .tensorflow.AttrValue> attr = 5;
      • getAttrMap

        Map<String,​AttrValue> getAttrMap()
         Operation-specific graph-construction-time configuration.
         Note that this should include all attrs defined in the
         corresponding OpDef, including those with a value matching
         the default -- this allows the default to change and makes
         NodeDefs easier to interpret on their own.  However, if
         an attr with a default is not specified in this list, the
         default will be used.
         The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and
         one of the names from the corresponding OpDef's attr field).
         The values must have a type matching the corresponding OpDef
         attr's type field.
         TODO(josh11b): Add some examples here showing best practices.
         
        map<string, .tensorflow.AttrValue> attr = 5;
      • getAttrOrDefault

        AttrValue getAttrOrDefault​(String key,
                                   AttrValue defaultValue)
         Operation-specific graph-construction-time configuration.
         Note that this should include all attrs defined in the
         corresponding OpDef, including those with a value matching
         the default -- this allows the default to change and makes
         NodeDefs easier to interpret on their own.  However, if
         an attr with a default is not specified in this list, the
         default will be used.
         The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and
         one of the names from the corresponding OpDef's attr field).
         The values must have a type matching the corresponding OpDef
         attr's type field.
         TODO(josh11b): Add some examples here showing best practices.
         
        map<string, .tensorflow.AttrValue> attr = 5;
      • getAttrOrThrow

        AttrValue getAttrOrThrow​(String key)
         Operation-specific graph-construction-time configuration.
         Note that this should include all attrs defined in the
         corresponding OpDef, including those with a value matching
         the default -- this allows the default to change and makes
         NodeDefs easier to interpret on their own.  However, if
         an attr with a default is not specified in this list, the
         default will be used.
         The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and
         one of the names from the corresponding OpDef's attr field).
         The values must have a type matching the corresponding OpDef
         attr's type field.
         TODO(josh11b): Add some examples here showing best practices.
         
        map<string, .tensorflow.AttrValue> attr = 5;