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 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;