NodeDefOrBuilder

public interface NodeDefOrBuilder
Known Indirect Subclasses

Public Methods

abstract boolean
containsAttr(String key)
 Operation-specific graph-construction-time configuration.
abstract Map<String, AttrValue>
getAttr()
Use getAttrMap() instead.
abstract int
getAttrCount()
 Operation-specific graph-construction-time configuration.
abstract Map<String, AttrValue>
getAttrMap()
 Operation-specific graph-construction-time configuration.
abstract AttrValue
getAttrOrDefault(String key, AttrValue defaultValue)
 Operation-specific graph-construction-time configuration.
abstract AttrValue
getAttrOrThrow(String key)
 Operation-specific graph-construction-time configuration.
abstract String
getDevice()
 A (possibly partial) specification for the device on which this
 node should be placed.
abstract com.google.protobuf.ByteString
getDeviceBytes()
 A (possibly partial) specification for the device on which this
 node should be placed.
abstract NodeDef.ExperimentalDebugInfo
getExperimentalDebugInfo()
 This stores debug information associated with the node.
abstract NodeDef.ExperimentalDebugInfoOrBuilder
getExperimentalDebugInfoOrBuilder()
 This stores debug information associated with the node.
abstract 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".
abstract com.google.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".
abstract 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".
abstract 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".
abstract String
getName()
 The name given to this operator.
abstract com.google.protobuf.ByteString
getNameBytes()
 The name given to this operator.
abstract String
getOp()
 The operation name.
abstract com.google.protobuf.ByteString
getOpBytes()
 The operation name.
abstract boolean
hasExperimentalDebugInfo()
 This stores debug information associated with the node.

Public Methods

public abstract 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;

public abstract Map<String, AttrValue> getAttr ()

Use getAttrMap() instead.

public abstract 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;

public abstract 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;

public abstract 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;

public abstract 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;

public abstract 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;

public abstract com.google.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;

public abstract NodeDef.ExperimentalDebugInfo getExperimentalDebugInfo ()

 This stores debug information associated with the node.
 
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6;

public abstract NodeDef.ExperimentalDebugInfoOrBuilder getExperimentalDebugInfoOrBuilder ()

 This stores debug information associated with the node.
 
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6;

public abstract 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;

public abstract com.google.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;

public abstract 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;

public abstract 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;

public abstract 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;

public abstract com.google.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;

public abstract 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;

public abstract com.google.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;

public abstract boolean hasExperimentalDebugInfo ()

 This stores debug information associated with the node.
 
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6;